Standard B2B marketing frameworks are built for audiences that are less informed and more persuadable and tend to underperform with this group.

This guide is for marketing leaders selling complex products or services to technically sophisticated audiences, such as:

• Engineers evaluating infrastructure tools
• Architects evaluating materials
• IT leaders assessing enterprise software
• OEM product managers looking for suppliers
• Operations directors buying specialized services

It covers who technical buyers are, how they make decisions, which messaging and content frameworks are appropriate for this audience, and how to build a marketing system designed around them.

Who you’re actually talking to

In technical-buyer markets, purchase decisions are rarely made by a single person. Most involve a buying group with different roles, different priorities, and different criteria for moving forward. Effective marketing accounts for each of them.

While job titles vary, the roles these individuals play fit into five consistent archetypes.

• The Researcher
• The End User/Practitioner
• The Manager/Champion
• The Approver/Executive
• The Skeptic

The Researcher

The Researcher is the individual assigned (or self-appointed) to do an initial evaluation of options. They typically aren’t the end users or the individuals managing them.

They aren’t building a short list; they’re building the initial list to offload some of the higher-ups’ upfront research. This means they typically are not as technically fluent as the others and have been given specifications or criteria for matching.

As you can imagine, researchers often hold entry-level, internship, or assistant positions. That doesn’t mean they aren’t important; they still decide whether you move on. It just means their decision criteria are different. They’ll focus more on checking boxes and signals of trust and will gloss over technical details.

The End User/Practitioner

The End User or Practitioner is the person who will live with the decision day-to-day. They’re less focused on the strategic narrative and more on whether the solution works the way they need it to. Practical demonstrations, detailed feature coverage, and honest assessments of limitations are more useful to them than benefit-focused messaging.

The Manager or Champion

The Manager or Champion sits between the technical evaluators and the executive layer. They care about outcomes:

• Will this solve the problem?
• Will the team adopt it
• Will it hold up over time?

They’re often the person shepherding the internal decision, which means they need to be able to explain and justify it to others. Content that helps them build the internal case is directly useful.

They are generally risk-averse and want proof of measurable business outcomes. While they want their team to be happy with the product, what matters most is evidence that it was a good decision for the business, such as productivity gains, revenue generated, time saved, and defects avoided.

The Approver/Executive

The Approver or Executive is focused on a different set of questions:

• Is this vendor credible?
• What’s the risk?
• Does this fit the direction we’re going?

They’re rarely deep in the evaluation, but they can stop a decision. Trust signals carry more weight than feature depth at this level:

• Case studies with recognizable names
• Clear articulation of outcomes
• Meaningful accolades
• Demonstration of longevity
• Evidence that peer organizations have made similar choices

The Skeptic

The Skeptic is present in most buying groups and is rarely addressed directly in B2B marketing. They’re the stakeholder who asks the hard questions, scrutinize the claims, and raise concerns that slow the process.

The most effective way to address skeptic concerns is to have already answered them in content, documentation, and case studies, before they’re raised in the evaluation process.

Messaging that attempts to serve all of these audiences simultaneously tends to be too general to satisfy any of them. Each stakeholder has specific informational needs, and addressing those needs requires deliberate differentiation by audience.

How technical buyers actually make decisions

According to Gartner Research, by the time a technical buyer contacts a vendor, they have typically completed 70–80% of their buying journey. They’ve researched the category, evaluated options, and formed preferences.

Short-lists are small, usually with two or three vendors, and buyers often enter vendor conversations with a leading candidate already in mind. Initial outreach is frequently a validation exercise rather than an open exploration.

The practical implication is significant:

The marketing work that influences the decision happens well before the buyer surfaces.

Being present and credible during the research phase before active vendor evaluation begins determines whether a company makes the short list at all.

Technical buyers approach vendor-produced content with skepticism. They rely heavily on independent sources: peer communities, practitioner-authored content, analyst coverage, and review platforms. They weigh the opinion of someone who uses the product or service over the opinion of someone who sells it.

That said, vendor content that demonstrates genuine domain expertise occupies a different category.

Content that reflects a deep understanding of the space, including tradeoffs, limitations, and edge cases, earns credibility with this audience. When a vendor’s content is substantively useful, that utility transfers to the vendor’s reputation.

The goal is to produce content that an technical buyer would find valuable, regardless of whether it was produced by a vendor.

Messaging and content frameworks

Several established frameworks are relevant to technical-buyer marketing. They vary in how well they apply to this audience, and understanding those differences is useful before committing to an approach.

The frameworks are:

• Jobs To Be Done
• Challenger
• Messaging Hierarchy
• Story Brand
• PAS (Problem-Agitate-Solution)

Jobs to be Done

The Jobs to Be Done framework is a strong fit. Technical buyers are goal-oriented — they’re evaluating whether a solution can accomplish something specific, under specific constraints, in a specific environment.

Organizing messaging around what the buyer is trying to accomplish (rather than around product features or benefits) maps to how technical buyers actually evaluate options. It also surfaces the real decision criteria, which are frequently more precise than general benefit statements suggest.

Challenger

The Challenger framework originated as a sales methodology, but its core principle applies directly to content strategy. The framework argues that the most effective approach isn’t to reflect a buyer’s stated pain back at them, but to bring a perspective or insight they haven’t already considered.

For technical buyers who have done extensive research, content that offers a genuine reframe, such as:

• A different way of thinking about the problem
• An underweighted consideration
• An honest comparison of tradeoffs

Are more useful and more credible than content that covers familiar ground.

Messaging Hierarchy

Messaging Hierarchy (sometimes called message architecture) is the practice of organizing messages by audience layer. For each stakeholder type, it defines what they need to believe in order to move forward, and what level of proof is required to establish that belief. Building this out explicitly produces more targeted messaging than attempting to construct a single narrative that serves all audiences.

StoryBrand

StoryBrand is widely used in B2B marketing and works well for broader or less specialized audiences. Its structure positions the customer as the hero navigating a challenge, with the brand as the guide. It creates clarity and is effective at the executive and approver level.

For researchers and practitioners, the narrative framing is less useful; this audience prioritizes substance and specificity over story structure.

PAS (Problem-Agitate-Solution)

PAS (Problem-Agitate-Solution) is designed for audiences that are aware of a problem but haven’t yet identified a solution. Technical buyers have typically already identified potential solutions before engaging with vendor content, which limits the applicability of the agitation step. PAS can be appropriate in early-funnel awareness contexts but is less suitable as a primary framework for this audience.

The selection of a framework should be based on the buyer type and their stage in the decision process. No single framework serves all stakeholders equally well across all stages.

Content depth and progressive disclosure

Technical buyers evaluate content quality quickly. A single substantive, accurate piece of content carries more weight with this audience than a larger volume of surface-level content. The source that provides genuine utility during the research phase is remembered, and that association influences vendor perception.

Technical accuracy is a baseline requirement. An inaccurate claim such as a misused term, an overstated capability, an incorrect comparison, signals to an technical reader that the content was produced without sufficient domain knowledge.

That assessment tends to be durable and extends to the vendor’s credibility overall.

Using progressive disclosure to accommodate multiple buyer archetypes

Progressive disclosure is the practice of structuring content so that different audiences can access the level of depth appropriate to their needs without being forced through content that isn’t relevant to them.

In practice, this means leading with the concept or outcome (useful to managers and executives) and providing clear pathways to additional depth for researchers and practitioners. Expandable sections, linked documentation, technical annexes, and implementation guides allow expert readers to go as deep as they need to, while keeping higher-level content accessible to stakeholders who don’t require that level of detail.

This approach serves a dual purpose: it doesn’t require researchers to parse marketing language to reach the information they’re looking for, and it doesn’t present executives with technical detail that isn’t relevant to their decision. Each audience encounters content calibrated to their role in the evaluation.

Content formats that are effective with expert buyers:

• Detailed implementation guides
• Honest comparison content (including honest assessments of where a solution isn’t the right fit)
• Vase studies with specific outcomes and named context
• Original research
• Practitioner-authored or practitioner-reviewed content

Content formats that tend to underperform:

• General thought leadership without a specific point of view
• Landing pages that lead with benefits without supporting evidence
• ROI claims presented without methodology
• Content architectures that offer no progression path beyond a demo request

A framework for executing technical buyer marketing

The following is a sequential process for building a marketing system oriented around technical buyers. Each step informs the next.

Step 1: Define your buying groups

Identify the buyer types involved in a typical purchase decision. Prioritize by frequency of involvement and degree of influence. Most organizations will find two or three roles that appear consistently and carry the most weight — start there.

Step 2: Build buyer intelligence for each type

For each buyer type, document their triggers (what initiates the search), motivations (rational and emotional), research behavior (where they look, what they read, who they trust), key questions at each stage of the journey, decision criteria, common objections, and the personal stakes involved in the decision. This produces a buyer profile — more behaviorally specific than a demographic persona and more directly useful for content development and campaign design.

Step 3: Select your frameworks. 

Match messaging and content frameworks to buyer type and journey stage. Researchers and practitioners are well-served by Jobs to Be Done framing and technical depth. Managers and champions benefit from Challenger-style POV content and Messaging Hierarchy. Executives and approvers respond to trust signals and outcome narratives. Framework selection should be deliberate rather than applied uniformly.

Step 4: Define messaging by buyer type. 

For each stakeholder, identify what they need to believe in order to advance the decision, and what evidence is required to establish that belief. The first answer defines the core message for that audience. The second defines the content requirements — whether a case study, a technical comparison, a methodology explanation, or third-party validation.

Step 5: Map progressive disclosure layers.

For each buyer type, define what they encounter first and what they can access if they go deeper. This applies at the content level (an article that links to documentation that links to a technical specification) and at the site architecture level (a homepage that leads to a use case page that leads to a detailed implementation resource). The goal is a content experience where depth is available but not imposed.

Step 6: Build and execute your content strategy.

Organize content development by buyer type and journey stage. Prioritize owned media — website, long-form content, email — where depth and experience can be controlled. Amplify through channels where each audience is active: LinkedIn for practitioners and managers, search for researchers in active evaluation, peer communities and industry publications for reaching skeptics and building credibility with approvers.

Step 7: Measure and adjust. 

Define success metrics that reflect the behavior of expert buyers — not just traffic volume, but depth of engagement: time on page, content paths taken, return visits, and which pieces of content appear in sales conversations. Establish a feedback loop between sales and marketing so that buyer questions, recurring objections, and gaps identified in discovery translate into content improvements over time.

Closing

Technical buyer markets reward a specific kind of marketing: content and messaging that reflects genuine domain knowledge, addresses the distinct needs of multiple stakeholders, and is present during the research phase — well before buyers identify themselves as active prospects.

The organizations that build authority with this audience do so by being consistently useful to technical readers, not by optimizing for awareness metrics or broad reach.

The measure of success is whether buyers encounter your content during their research and find it worth engaging with. That’s the standard the framework above is designed to support.

The post The CMO’s Guide to Marketing to Technical Buyers appeared first on Three Seven.

Not “are we posting consistently” or “how many ads did we launch.” Those are activity metrics. They measure effort, not results. And businesses that only measure effort end up spinning their wheels frantically with little or nothing to show for it.

For B2B marketing to contribute to your bottom-line, you need to measure results. But which results? There are dozens of KPIs to choose from, each useful in its own right. But to evaluate overall marketing ROI you need to focus on just a few.

Let’s discuss the five metrics that actually tell you whether your marketing is driving business growth, and what to do when the numbers are off:

The 5 Metrics to Measure Marketing ROI

At a glance, here are the five most important KPIs for B2B marketing analytics:

1. Cost Per Lead (CPL)

This is the total marketing spend divided by the number of qualified leads generated in a given period.

If your CPL is rising quarter over quarter but your budget is flat, something is broken. Either your targeting is off, your offer isn’t converting, or you’re paying to attract the wrong audience.

What to watch for: A CPL spike that doesn’t correspond to a budget increase usually signals an audience or messaging problem, not a channel problem.

2. Lead-to-Close Rate

Traffic and leads mean nothing if they don’t close. Your lead-to-close rate tells you how well marketing is handing off qualified, sales-ready buyers, and how well your sales process is converting them.

A low rate often surfaces a misalignment between who marketing is attracting and who sales can actually close. That’s a strategy problem, not a sales problem.

What to watch for: If this rate drops after launching a new campaign, your targeting expanded beyond your Ideal Customer Profile (ICP).

3. Pipeline Contribution from Marketing

Of all the deals currently in your pipeline, how many originated from a marketing-sourced channel?

This metric separates marketing teams that drive revenue from those that drive reports. If marketing can’t point to a material percentage of the pipeline, it’s functioning as a support function, not a growth driver.

What to watch for: Under 30% marketing-sourced pipeline in a B2B company typically means over-reliance on outbound or referrals, and a visibility gap that will compound over time.

4. Conversion Rate by Channel

Not all traffic is equal. Your website might be pulling in 10,000 visitors a month, but if 9,000 of them are bouncing and none are converting, volume is a vanity metric.

Break conversion rate down by channel — organic search, paid, social, direct — and compare them. This tells you which channels are bringing in people who actually want what you sell.

What to watch for: High traffic, low conversion usually means a targeting or landing page problem. An SEO strategy audit often surfaces this faster than months of A/B testing.

5. Return on Ad Spend (ROAS) and Blended CAC

If you’re running paid media, ROAS tells you the revenue generated per dollar spent on ads. But the more useful number for most B2B companies is blended Customer Acquisition Cost (total marketing spend divided by new customers acquired, across all channels).

This gives you the real cost of a new client, not just a lead. It’s the number that tells your CFO whether marketing is an investment or an expense.

What to watch for: A healthy blended CAC depends on your average contract value. If your CAC is higher than your first-year revenue per client, you have a structural problem no amount of optimization will fix.

What to Do When the Numbers Are Off

Most B2B companies that come to us aren’t flying blind; instead, they’re tracking the wrong things. They know their follower count and their monthly traffic. They don’t know their CPL, their pipeline contribution, or their blended CAC.

The fix isn’t more data. It’s measuring what’s connected to revenue and building a reporting structure around those numbers.

If you’re not sure your current marketing setup is built to track what actually matters, let’s talk.

Three Seven is a strategy-led marketing agency working with B2B companies who need marketing that performs — not just marketing that exists.

The post How to Know If Your Marketing Is Actually Working: The 5 Metrics That Matter appeared first on Three Seven.

Before you look at anything else in a GA4 account, there’s one check worth doing first.

If you’ve never set up an internal traffic filter, your own team is in your data. Every demo your sales rep runs, every time someone from your office loads the homepage to see if something went live, GA4 logs it as a real session. Your numbers go up, your source data gets skewed, and your campaigns end up looking a little more efficient than they actually are.

Then there’s the one that makes people stop and think. If your site spans multiple domains and cross-domain tracking isn’t configured, your own website shows up as a referral source. You’re sending yourself traffic, and it logs as a real acquisition.

Neither of these throw errors. Your dashboard won’t flag them. You have to know to look for them.

Those are two of the fourteen checks on this list. The rest follow the same pattern: small configuration details that sit quietly in GA4 admin, making your numbers harder to trust without ever announcing themselves.

Run through these before you pull any benchmark, report any campaign result, or make any budget decision based on GA4 data.

If you find one (or three) that are misconfigured, you’re not alone. Most accounts have at least a couple of these. The good news is they’re all fixable in GA4 admin, usually in under ten minutes once you know where to look.

If you want help auditing your setup or you’re not sure what you’re seeing in your data, that’s what we’re here for.

The post Before You Trust Your GA4 Data, Run Through This List appeared first on Three Seven.

The symptoms are familiar: decent traffic with almost no leads, ad spend that climbs every quarter while cost per acquisition barely improves, content that gets produced on schedule but never seems to land with the right people. None of these are channel failures on their own. They’re what happens when execution runs ahead of thinking.

Marketing without a defined strategy is just spending money in a general direction and hoping the market responds.

What “Strategy-Led” Actually Means

Strategy-led marketing starts with a clear answer to a question most businesses skip: who is this for, what do they need to hear, and where are they when they’re ready to hear it?

That sounds deceptively simple. But without it, everything downstream (your SEO keyword targets, your ad messaging, your landing pages, your email sequences) gets built on assumptions. And assumptions compound. A homepage written for “everyone” converts no one. A PPC campaign targeting broad keywords burns budget on clicks that were never going to convert. A blog that covers every topic loosely ends up owning none of them in search.

Strategy-led marketing means every tactic is traceable back to a business objective. Not a vanity metric or a channel goal, but rather an actual outcome the business cares about.

The Disconnect Most Businesses Don’t Catch

Here’s where it usually breaks down: a company hires someone to “do SEO” or “run ads” without first establishing what success looks like, who they’re targeting, or what makes them the better choice for that target.

The execution starts. Content gets published. Ads go live. Traffic comes in. And then, three months later, someone asks why the leads aren’t there. The honest answer is that no one decided what a qualified lead even looked like before the campaign launched.

This isn’t a knock on execution. Execution done well matters enormously. But execution without direction is just motion. You can be technically excellent at SEO and still rank for keywords your buyers never search. You can run a paid campaign with a strong quality score and still send traffic to a page that doesn’t speak to the person who clicked.

The traffic problem and the lead problem are almost always the same problem: the strategy wasn’t there to begin with.

What Changes When Strategy Comes First

When marketing is built around a strategy, the decisions get easier and the results get more predictable.

Keyword selection becomes about buyer intent, not search volume. You stop chasing terms that look good in a report and start targeting the specific questions your best prospects ask when they’re two weeks away from making a decision. The content you create answers those questions directly, which means the traffic it generates is actually worth having.

Paid media stops being an experiment and becomes a system. You know which audience segment has the shortest sales cycle. You know what message gets them to click and what the page needs to say when they land. You can run a tight campaign, measure it cleanly, and scale what works — because you understood the buyer before you spent the first dollar.

Conversion optimization has something to work with. When you know who you’re talking to and what they care about, a weak headline isn’t a mystery — it’s a fixable problem. You can test with purpose instead of guessing.

Analytics finally tells you something useful. When strategy defines what “working” looks like, your reporting reflects progress toward real goals instead of surfacing metrics that look good but don’t connect to revenue.

The Business Case for Getting This Right

Businesses that invest in strategy before execution consistently outperform those that don’t, because it eliminates the waste. Every dollar spent on execution that’s aligned to a clear strategy compounds. Every dollar spent without it dilutes.

Agencies and competitors who have moved toward outcome-driven, integrated strategy are capturing the high-intent searches, winning the comparison searches, and shortening their clients’ sales cycles. The ones stuck in a “post-and-pray” or “run-ads-and-wait” model are leaving real money on the table.

If your marketing feels busy but not productive, the fix rarely lives in the tactics. It lives one level up.

Where to Start

The good news is that getting strategy-led doesn’t require starting over. It requires stopping, asking the right questions, and making sure the answers are actually reflected in what you’re running.

That means auditing what you’re doing now against what you’re trying to achieve. It means defining your target audience with enough specificity that your messaging can actually speak to them. It means setting KPIs that connect to pipeline and revenue over traffic and impressions.

If that feels like a big lift to do internally, that’s exactly what a good marketing partner should help you do before a single campaign goes live.

Ready to build a marketing program that’s actually tied to your business goals? Book a call with our team or get your free assessment.

The post Why Marketing Must Be Strategy-Led appeared first on Three Seven.

Every marketer experimenting with AI right now is quietly sitting with the same question: which of these tools is actually worth the subscription? And if I’m already paying for two or three of them, am I using them right or am I just paying for the same capability twice?

I’ve spent real time inside ChatGPT, Claude, Gemini, and NotebookLM over the past year. Not as a reviewer. As a working marketer building content systems, running client campaigns, and trying to make these tools actually useful—not just impressive in demos. (If you’ve been thinking about how AI is changing search visibility too, we covered that here.) Here’s what I found.

The Quick View: How Each Tool Fits

Before diving in, here’s how I think about each tool’s role at a glance:

ChatGPT: The Thinking Partner

ChatGPT is still the tool I reach for when I’m stuck and need to think out loud, though I’m getting more used to Claude.

It’s genuinely strong in early-stage work: brainstorming directions, pressure-testing a strategy angle, breaking down a problem that feels too big to start. The conversational quality is natural, and because I’ve used it for so long, it has a sense of my thinking style that makes those early conversations efficient.

The caveats are real, though. ChatGPT has a confidence problem. It will deliver an answer that sounds authoritative and be completely wrong. It tends to validate ideas more than challenge them, which feels good in the moment but isn’t always what you need. And left unsupervised, it develops habits: overusing em dashes, defaulting to “X vs. Y” frameworks, producing copy that sounds polished but still needs significant editing to feel like your actual voice.

It’s a strong thinking partner. It’s a risky execution tool if you’re not watching closely.

Claude: The System Builder

My workflow shift this year was about recognizing I needed something that could work inside a system, not just a conversation.

Claude performs differently when it has structure to work with. Organized folders, markdown files, shared knowledge sources, clear constraints (these inputs make Claude significantly more efficient than a clean prompt ever would). Once I built that infrastructure, my team could use the same workflows with minimal prompting, and the outputs stayed consistent in a way that’s actually useful at the agency level.

What Claude does better: it follows instructions and constraints reliably, handles complex structured tasks without drifting, and works well with teams because the system does the heavy lifting instead of the individual prompt. It’s less “let’s explore” and more “let’s execute.”

What I’m still working out: where to let it be flexible versus where to hold it to a tighter brief. The same structure that makes it reliable in a content system can make it feel rigid in freeform creative work. That’s a trade-off I’m navigating, not a dealbreaker.

Gemini: The Researcher

Gemini lives in a different part of my workflow. My use is less about creation, more about gathering.

Gemini’s Google ecosystem integration is genuinely useful. It works across Docs and Sheets without friction, pulls from multiple browser tabs simultaneously, and handles research and data-gathering tasks in a way that makes it a natural first step before moving into higher-cost processing elsewhere. I often use Gemini to pull together inputs that then go into Claude for structured output.

One honest critique: Gemini has a tone that sometimes needs softening before anything goes anywhere near a client. It can read as overly critical or blunt in a way that’s useful internally but requires adjustment for external-facing work. It’s a strong utility player (not the star of the workflow, but consistently in the rotation).

NotebookLM: The Synthesizer

NotebookLM is the most underrated tool in this group, and the one most marketers haven’t explored yet.

What makes NotebookLM different: it works with your data, not just general knowledge. You bring in multiple documents (research, reports, client briefs, data exports, competitor urls) and it synthesizes across all of them. The result is a coherent, grounded output that reflects the actual sources you’ve given it, not a general-knowledge approximation.

I use it most when I need to make complex information digestible. It translates a dense research stack into something I can actually present to a client without it feeling data-heavy or hard to follow. It’s also useful for developing a quick, deep understanding of a new topic before I need to write or present on it.

The limitation is flexibility. NotebookLM is purpose-built for synthesis, not execution. It’s not where I run a full content workflow. But as a complement to Claude (NotebookLM for understanding, Claude for output) it fills a gap I didn’t know I had.

The Moment That Made Validation Non-Negotiable

One experience shaped how I approach all of these tools now.

An AI-generated report showed conversions up 9,000% month-over-month. It looked clean. It looked credible. What it was actually doing was comparing a period when a campaign was running against a prior period when it wasn’t, technically accurate but completely misleading.

The number was real. The interpretation was wrong. And it would have gone to a client if I hadn’t caught it.

That’s the risk across all of these tools: confident outputs that pass a quick read but don’t survive scrutiny. It matters most in high-stakes areas like paid media reporting and SEO performance analysis where a wrong number in front of a client can do real damage. Validation isn’t optional. It’s the part of the workflow that doesn’t get to be automated.

The Actual Takeaway

The marketers getting the most from AI are the ones who’ve gotten specific about the role each tool plays. ChatGPT can be useful for thinking through problems. Claude is strong for executing within a system. Gemini works well for research and data gathering. NotebookLM is great for synthesis.

None of them replaces strategy or judgment. What they do is compress the time between an idea and something worth editing… if you know what you’re actually trying to build.

So if I had to pick one? Claude is my clear winner right now because of how well it works inside structured workflows.

I’m moving away from ChatGPT due to ongoing issues with accuracy, overconfidence, and overall company practices. And not every tool earns a place in the stack, some are intentionally left out (I won’t be trying Grok, ew).

Moving forward, my stack looks like Claude + Gemini (as a data assistant), with additional tools layered in where they make sense.

If you’re figuring out how AI tools fit into a strategy that actually drives results, or want help building AI workflows your team can actually use, we’d be glad to talk through it.

The post A Marketer’s Tale of Four AI Tools: What I Actually Think After Using Them All appeared first on Three Seven.

Most B2B websites don’t generate leads because they were built to inform, not to persuade. The five most common causes are wrong traffic, weak positioning, insufficient trust signals, conversion points that don’t match where buyers actually are in their journey, and no measurement system to improve over time. Fixing it requires aligning strategy, messaging, and design together, not just redesigning the site.

The traffic is there. Google Analytics shows people visiting. But the phone isn’t ringing and the contact form is quiet. Every new piece of business still traces back to someone your sales team called, an old relationship, or a referral.

If that’s your situation, you’re probably asking some version of the same question: why isn’t the website working?

The honest answer is that most B2B websites weren’t built to generate leads. They were built to inform. They explain what a company does and give prospects somewhere to go when they want to learn more. That’s a different job. And if you’ve built a website to do one job but you need it to do another, you’re going to be disappointed by the results.

Before you assume it’s a copy problem or a design problem or a budget problem, it’s worth understanding what’s actually driving the outcome. Most of the time, it comes down to one of five root causes.

Often it’s more than one.

Root Cause 1: You’re Not Getting the Right People to Your Site

This is the first thing to rule out, because if this is the issue, nothing else matters. You can have the best website in your industry and if the people finding it aren’t the people who would hire you, it isn’t going to convert.

This is more common than it sounds. A company gets some traction with content marketing, starts ranking for a handful of keywords, sees traffic climb, and assumes that traffic represents potential buyers.

Sometimes it does. Often it doesn’t.

What it looks like

Your analytics show healthy visitor numbers, but when you look at where they’re coming from and what they’re searching for, it doesn’t map to your actual buyers. You might be attracting researchers, students, competitors, or people solving a slightly different problem than the one you solve.

What to do about it

Before you touch the website, get clear on who your actual buyer is and how they search.

• What problems are they trying to solve at the moment they’d consider hiring someone like you?
• What keywords would they use?
• Where else do they spend time online?

Audit your traffic against that profile. If there’s a significant mismatch, the traffic problem has to be solved before the conversion problem.

Root Cause 2: Your Messaging Isn’t Compelling to the Buyer

Assuming the right people are finding your site, the next question is whether what they find when they get there is actually convincing.

Most B2B sites fail here in one of two ways.

The first is obvious, the messaging is generic.

Claims like “we deliver results,” “we’re committed to quality,” “we’re a trusted partner,” or language that could appear on any competitor’s site don’t give a buyer any reason to choose you.

The second failure is subtler… the messaging is specific to your company but not meaningful to your buyer.

This happens when a website is written from the inside out, organized around how the company thinks about itself rather than how a buyer thinks about their problem.

This is a positioning problem, and it doesn’t get solved by rewriting headlines. It gets solved by doing the work to understand three things:

1. Your target audience and what they actually care about when making this type of decision
2. Your competitors and how they’re positioned
3. The specific ways you’re meaningfully different in ways that matter to that audience.

What it looks like

Landing on your homepage, a prospect can’t immediately understand what you do, who you do it for, and what problem you solve. Or they understand those things, but nothing differentiates you from the three other companies they’re also evaluating.

What to do about it

Don’t start with the website. Start with discovery.

Talk to your best customers about why they hired you and what almost made them choose someone else. Look at your competitors’ sites with the same critical eye you’re applying to your own. Find the intersection of what makes you genuinely different and what your buyers actually care about. That’s your positioning. The website messaging comes after.

Root Cause 3: The Site Doesn’t Build Enough Trust

In B2B, risk aversion is extremely high. The person evaluating your company isn’t just trying to solve a problem, they’re making sure they don’t make a mistake. A bad vendor choice reflects on them professionally. In a lot of cases, choosing the safer option matters more than choosing the best option.

People would rather select a vendor they’re confident in than take a chance on one that might outperform.

What this means for your website is that trust signals aren’t optional. They’re load-bearing. If a skeptical buyer can’t find evidence that you’re credible and that others have had success working with you, they’re going to keep looking.

There’s also a visual component to trust that’s easy to overlook. Your audience arrives with a mental model of what a credible company in your space should look like. If your site is significantly out of step with that expectation (dated design, inconsistent visual quality, a look that doesn’t match the sophistication of what you’re actually selling), it creates doubt before a single word gets read.

What it looks like

A technically strong company with genuinely impressive work, but a website that looks like it was built in 2014 and has no social proof, no named clients, no case studies, and no evidence of real outcomes.

What to do about it

Build trust through specifics.

• Logos of recognizable clients
• Stats that demonstrate scale or results
• Case studies that walk through a real problem and a real outcome
• Testimonials attributed to actual people with names and titles
• Associations and certifications relevant to your audience
• Tenure and experience framed in a way that’s meaningful to a buyer trying to assess risk

The goal is to give a skeptical person a clear answer to the question: why should I trust these people with this problem?

Root Cause 4: Your Conversion Points Don’t Match Where Buyers Actually Are

Even if your traffic is right, your messaging is compelling, and your trust signals are solid, there’s still a conversion problem that catches a lot of B2B companies off guard.

Gartner has been tracking a growing trend: B2B buyers increasingly want to complete most of their research independently and only engage with a salesperson once they’ve nearly made a decision. They don’t want to talk to you at the beginning of the process.

They want to use your website to learn, evaluate options, and build confidence, then reach out when they’re ready.

If your only conversion point is a “Contact Us” form or a “Schedule a Demo” button, you’re asking buyers to commit to a sales conversation before they’re ready to have one.

Most of them won’t.

They’ll leave and continue researching elsewhere.

What it looks like

A website that does a reasonable job of explaining what the company does, but offers no way for an interested person who isn’t ready to buy to stay in the relationship. Every path leads to a sales conversation or nothing.

What to do about it

Create intermediate conversion points, i.e. places where someone who’s genuinely interested but not ready to commit can exchange their contact information for something valuable.

And valuable is the keyword.

A brochure, a spec sheet, or a generic overview isn’t valuable enough. The standard we use: if your ideal prospect wouldn’t be willing to pay for it, it’s not valuable enough to gate.

Instead, consider:

• A detailed guide that helps them solve a real part of their problem
• A tool that makes their job easier
• An assessment that helps them understand where they stand

These are the kinds of resources a buyer will trade their email address for, and that keep you in the relationship through the research phase.

At the same time, make sure your website gives buyers everything they’d want to know to make an educated decision without having to ask. Answer the questions they know they have. Address the ones they don’t know to ask.

The more you help them think through the problem on your site, the more trust you build before the first real conversation.

Root Cause 5: You’re Not Measuring, So You Can’t Improve

Everything you do on a website at launch is, at best, an educated guess. You’ve thought carefully about your audience, your message, your design. But until real buyers interact with it, you don’t actually know what’s working.

Most B2B companies set up basic analytics and leave it there. They can see overall traffic. They might track contact form submissions. But they can’t see where interested people are dropping off, which content is actually moving people toward a decision, or what a visitor who eventually converts looks like compared to one who doesn’t.

What it looks like

After a launch or a redesign, the question “is the new site performing better?” gets answered by whether leads went up overall, a metric that mixes too many variables to be meaningful. Nobody can point to a specific page or flow and say confidently why it is or isn’t converting.

What to do about it

Set up measurement before you need it. Track meaningful events; Not just pageviews, but which content people are engaging with, where they’re exiting, and what path visitors take who eventually convert versus those who don’t.

Then review it consistently and use it to make decisions.

Every website at launch is a hypothesis. Measurement is how you find out if you’re right.

The Actual Problem

The reason all of this is hard is that a B2B website that doesn’t generate leads isn’t a website problem. It’s a marketing system problem.

The website is downstream of everything else. It reflects how well you understand your audience, how clearly you’ve defined your positioning, how effectively you’ve translated that positioning into messaging, and how well you’re getting that message in front of the right people. If any of those components is weak, the website reflects it.

That’s why a redesign without strategy rarely fixes a lead generation problem. You can make a site look better without changing what it says or who it reaches. The look improves. The outcomes don’t.

The companies that turn their websites into real lead generation assets treat it as a system, starting with a clear understanding of who they’re trying to reach and what those people need to believe before they act, building the website around that, putting it in front of the right audience, and then running a continuous loop of measurement and improvement.

It’s a longer process than a redesign. But it’s the one that actually works.

The post Why Your B2B Website Isn’t Generating Leads (And What to Do About It) appeared first on Three Seven.

For the past couple of years, we’ve watched this shift happen. AI overviews, platform algorithms, walled gardens. It all adds up to one thing: getting people to click through to your website is much harder than it used to be.

Every platform wants to keep users engaged on their site, not send them to yours.

You’re creating content expecting traffic, but the traffic doesn’t come. Maybe you get some visibility, but probably not enough to justify the effort. You end up spinning your wheels, wasting time and money on an approach that just doesn’t work anymore.

There’s still value in that visibility though, even without the click.

We’ve Gone Full Circle

There’s something almost funny about where we’ve ended up. Before digital marketing took over, there was this saying:

“Half of every marketing dollar is wasted, I just don’t know which half.”

Billboards, TV commercials, radio spots, print ads. You had a broad idea of reach, but no real way to know who paid attention or who took action. Marketing was about awareness, and the data was fuzzy at best.

Then digital came along and changed everything. For a while, it was beautifully clear: create content, publish it, promote it, see impressions, see clicks, see conversions, see sales. One-to-one tracking from start to finish.

Now we’ve circled back to something closer to the pre-digital era. We’re in a middle ground where brand awareness matters again, where the path from content to customer isn’t a straight line you can track in Google Analytics.

The difference is we do have some data now. We can see impressions and engagement. We can track lagging indicators like overall traffic growth and branded search volume. It’s less precise than what we had, but it’s more than what marketers worked with for decades. And really, this is how marketing has always worked for most of its history.

There’s no alternative at this stage, so you need to embrace it.

The Zero-Click Content Framework

We developed this framework to help us and the clients we work with rethink how top-of-funnel content actually functions in 2025. It’s a five-step approach you can start using right away.

1. Create Pillar Content

Long-form, deeply valuable content that solves real problems. Comprehensive guides, frameworks, research-backed insights, in-depth analysis. Make it substantial enough that you can split it into multiple pieces while still being valuable as a complete work.

This is your foundational content. The stuff that demonstrates expertise and gives people a reason to pay attention to you.

2. Publish Fully on Owned Media

Post the complete content on your blog, podcast, YouTube channel, or email newsletter. This is your home base, where you own the relationship. Don’t gate it. Make it accessible.

People will still read long-form content on your owned media; only the approach to getting them there has changed.

Long-form content on your website also gets picked up by AI models. It contributes to topical authority. For commercial and transactional searches, it helps there too. Both the pillar content and the platform content matter, but your expectations around how each piece drives results need to shift.

3. Isolate the Punchlines

Extract the 2-3 most compelling insights from your pillar content. The “aha moments.” If someone consumed just these on their own, they should still get significant value and think differently.

We did this recently with our Marketing-Led Growth System. We have this comprehensive framework that looks at marketing as a system with a foundation and an engine.

While we’ve posted about the overall system, we pulled out one specific insight: your marketing isn’t working because either the foundation is broken or the engine is broken.

That’s the punchline. The bigger story (how to fix those things) lives in the full framework.

4. Share Natively on Platforms

Publish those punchlines as complete content where your audience already is. LinkedIn posts, X threads, YouTube Shorts, etc…

Give away the full insight.
No teasing.
No “click to read more.”

You used to tease the intro: “We wrote about XYZ. If you want to learn ABC, click here.”

That doesn’t work anymore.

Instead, you give them the conclusion, the main takeaway. That’s what makes them remember you, drives engagement, helps with positioning, and makes them more likely to search for you later or want to read the additional context.

5. Track Brand Lift, Not Clicks

Shift your focus from traffic and clicks to brand searches, direct traffic, and engagement signals like saves, shares, and comments.

You need to look at both leading and lagging indicators. Leading indicators (impressions and engagement) tell you if people are actually seeing and interacting with your content. If you’re creating content that gets no impressions and no engagement, you can be pretty sure you won’t see increases in brand search or traffic.

Lagging indicators like direct traffic, branded search volume, and overall website traffic show you the impact over time. These take longer to move. Maybe a month or two before the change is significant enough to notice. Check them weekly or monthly, but keep in mind you’re looking for correlation, not immediate cause-and-effect.

If you’re doing a lot of promotional work and these numbers are going up, that’s your signal. If nothing’s happening or they’re going down, whatever you’re doing isn’t making an impact.

The Mindset Shift

Simply put, you need to change how you think about content marketing.

Old model
Content → Impressions → Clicks → Conversions

New model
Content → Awareness → Affinity → Brand Search → Conversion

It’s slower. Harder to measure. But it works.

The platforms are walled gardens now. The old playbook of “publish and drive traffic” doesn’t work anymore. Top-of-funnel content still builds awareness when you share the full value natively, but getting there requires rethinking the metrics you care about and the patience to let the compound effect happen.

What About Giving Away Too Much?

I get this question a lot: if you give away your best insights for free, why would anyone hire you or buy from you?

Information is rarely the problem. Execution and implementation are.

Take EOS (The Entrepreneurial Operating System) as an example. You can buy a book for less than $20 that gives you everything you need to implement EOS in your business. But most people, even with all that information, struggle to actually do it. They end up hiring implementers, buying additional resources, taking classes, and purchasing software.

They give you the information to get you sold on the idea. Once you’re sold, the challenge shifts to implementation, and that’s where people are willing to invest.

Your content works the same way. Give them the punchline. Help them understand the problem and see the solution. The people who need help executing will find you when they’re ready.

The post The Zero-Click Content Framework: How Top-of-Funnel Content Works in 2025 appeared first on Three Seven.

Three Seven is now Three Seven – Strategy-Led Marketing & Design

The work hasn’t changed. But the name finally reflects who we’ve become.

This is the story of where we started, what we learned along the way, and why this evolution was the natural next step.

How Three Seven Started (and What We Saw Early On)

I started Three Seven in 2005 with a friend while finishing college. Back then, I was doing IT consulting to earn extra money, and as “the computer guy,” I kept getting pulled into website projects.

I’d always been drawn to visual design. I studied fine arts, considered animation, and loved that intersection where creativity meets technology. Web design felt like an emerging field where I could bring those interests together.

But early on, something stood out.

Most “web design” wasn’t really web design at all, it was print design pasted onto a screen.

Agencies treated websites like digital brochures. A brochure works because you pick it up, see it all at once, and interact with it in a linear way. A website is nothing like that. It’s interactive, navigational, dynamic. It behaves more like an interface or a product than a printed page.

And beyond usability, I kept asking myself:

Why treat this like a branding artifact when it could be a marketing engine?

Why couldn’t a website guide visitors, communicate value, and meaningfully move a business forward?

So that’s what we set out to do at Three Seven:

Build websites that worked, not just websites that looked good.

Where the Name “3.7” Came From

The original name came from the Butterfly Effect. The idea that small actions can spark big outcomes. In the mathematical model used to explain the phenomenon, the tipping point occurs when the multiplier reaches 3.7.

That idea became our philosophy.

A small, thoughtful input (a well-designed website, a refined message, a clearer structure) could create outsized results for a business.

For our first decade, that’s exactly what we did. We built strategic websites. We occasionally supported SEO or Google Ads, but design was the focus.

And it worked… until we realized something important.

Why We Had to Evolve

Around 2016 or 2017, we began noticing a pattern.

We’d launch a website, check back three to six months later, and the feedback was always something like:

“We think it’s good. People say they like it.”

But clients couldn’t tell us if it actually made a difference in their business.

We’d created a highly effective destination, but only if the right people found it. And many clients didn’t have the resources, skills, or time to get those people there.

They weren’t running campaigns.
They weren’t testing or optimizing.
They weren’t using the site as the marketing tool it was designed to be.

It helped them and it was certainly better than what they had. But it was still just a fraction of what it could achieve.

We also realized something humbling:
Even when you design a site based on research and best practices, your “best guess” at launch is still a guess.

We’ve seen small tweaks deliver massive gains.
We once changed two words on a button and increased leads by 50%.

So the need became clear:

Clients didn’t just need us to build the destination.
They needed us to help people reach it. And to continuously improve it.

That shift sparked our evolution beyond web design into a holistic, strategy-led marketing partner. Helping clients with positioning, messaging, SEO, content, campaigns, and ongoing optimization. 

It grew organically, but inevitably. It was simply what our clients needed.

Why the Name Had to Change

As we expanded, one thing became unmistakable:

“Designs” no longer described who we were.

It didn’t match our expertise.
It didn’t match our work.
It didn’t match what clients valued about us.

Clients choose us for our strategy, clarity, psychology-informed approach, and proactive partnership, not just our design capabilities. 

We considered a completely new name. We explored dozens of options. But every alternative felt disconnected from our roots and from the philosophy that shaped us.

Because that original idea still rings true:

Small, strategic moves create big outcomes.

It’s how we think about marketing today. It’s how we approach positioning. It’s how we help clients grow without unnecessary complexity or bloated plans.

So instead of reinventing the name, we refined it.

Three Seven → Three Seven.

Simple. Clear. True to who we are.
And aligned with the strategic, whole-system marketing work we deliver now.

What’s Changing (and What’s Not)

Here’s what’s new:

• A name that reflects our full capabilities.
• A clearer articulation of what we do and how we help.
• A brand system centered around the Butterfly Effect and the ripple impact of smart marketing.
• A focus on strategy-led, psychologically-informed marketing supported by creativity and technical strength. 

Here’s what’s not changing:

• Our team.
• Our process.
• Our mission.
• Our belief in thoughtful, intentional work that drives measurable results.
• Our commitment to acting as a proactive, invested partner, not just a vendor. 

We’ve been this company for years. Now we simply have a name that matches.

What This Means for Our Clients

Whether you’ve worked with us for years or are learning about us for the first time, here’s what the rebrand means for you:

• A more holistic partner: We don’t just build websites. We build momentum.
• A strategy-first approach: Everything we do ties back to clarity, psychology, and business outcomes.
• Greater transparency & alignment: You’ll see more communication around strategy, results, and “why it matters.”
• Deepened expertise: We’re bringing even more focus to the disciplines that make marketing work — positioning, messaging, content, audience understanding, and continuous optimization.

Our aim remains the same:

To make our clients the hero inside their organization by delivering clarity, confidence, and measurable growth.

The Philosophy That Still Guides Us

The Butterfly Effect has always been more than a clever metaphor to us.

It’s a reminder that marketing doesn’t have to start with a massive, expensive overhaul. It starts with a clear message. A shift in positioning. A refined audience. A stronger experience. A small but strategic decision.

When done thoughtfully, those small inputs compound, shaping momentum, driving demand, and creating long-term growth.

That’s what Three Seven represents.
Small inputs. Large outcomes.

A New Chapter, Same Mission

After 19 years, this change feels less like a rebrand and more like coming into alignment with who we’ve been becoming all along.

We’re excited for what’s ahead.
We’re grateful for the clients and partners who’ve trusted us.
And we’re looking forward to building this next chapter together with clarity, strategy, creativity, and intention.

Welcome to Three Seven.

Small inputs.
Large outcomes.

The post 3.7 Designs is now Three Seven: Why We Evolved and What Comes Next appeared first on Three Seven.

Over my 20 years of experience, the most common issue I see preventing B2B companies from growing is treating marketing as a collection of disconnected tactics.

They run ads without clear positioning.

They create content without understanding their audience.

They chase channels because competitors are there, not because their buyers are.

This results in wasted budgets, knee-jerk reactions about “what works and what doesn’t,” and ultimately, missed sales and marketing targets.

We created the Marketing-Led Growth (MLG) System to fix this common challenge.

What the MLG System is

Marketing is an interconnected system. If you’re weak in any of the six foundations, your campaigns will underperform. Most companies are strong in one or two areas and weak in the rest.

The MLG System is a repeatable framework designed to:

• Identify the weakest parts of your marketing foundation
• Sequence the work so you’re fixing the right things in the right order
• Balance quick wins with long-term structural improvements
• Build momentum through focused sprints

The approach is lean. You do the minimal effective work to get measurable impact, then test and iterate from there. No 100-page strategy decks. No perfecting guesses. You fix what’s broken, measure what happens, and adjust.

The MLG System isn’t built on new ideas. It’s grounded in proven concepts from over 15 classic marketing books like Positioning, Obviously Awesome, StoryBrand, Traction, Buyer Personas, Competing Against Luck, and Ogilvy on Advertising. We just organized them into a structure you can actually use.

Companies that use the system see improved results from their marketing efforts and continued growth through ongoing optimization.

Let’s dive into the six fundamentals of any marketing system.

The six fundamentals

North Star Metrics

The one to three metrics that best measure your desired marketing outcomes. These need to be relevant, achievable, and laser-focused on measuring where you want to go. Fewer is better.

Most B2B companies want to grow revenue. That’s the real goal. But marketing doesn’t work that fast. The work you do today might not show up in the sales pipeline for months.

If you set “increase pipeline by 20%” as your metric in month one, you’ll kill good work before it has time to pay off. You’ll think marketing isn’t working when you just didn’t wait long enough.

North Star Metrics change as you make progress.

Annual North Star: The big outcome you’re driving toward. Revenue. Pipeline. Market share.

Sprint North Star: Leading indicators that show you’re on the right track. Traffic to high-intent pages. Engagement on target accounts. Conversion rate improvements.

Early on, you focus on sprint metrics. They give you confidence that if you keep going, the annual metrics will follow. As those leading indicators improve, your North Star Metrics shift closer to revenue outcomes.

Audience

If you don’t understand your audience, you can’t reach them. You won’t know why they’d buy from you over a competitor. You won’t know how to talk to them in a way that connects.

Most businesses think they understand their audience. They’re usually wrong. They’re relying on intuition instead of research and data.

The MLG System includes a process to develop a deep understanding of your audience’s psychology and behavior. Then we document it on a single page (front and back) that you can share with your entire team so everyone’s working from the same understanding.

Brand Edge (Positioning)

Your brand edge is what makes you different from your competitors in a way that actually matters to your audience. Not what you think is unique. What they value.

This isn’t three or four loose differentiators rolled into one run-on sentence. It’s the one thing your competitors can’t touch that resonates with the right people you’re trying to reach.

Value Story (Messaging)

Once you have your brand edge, you need to know how to communicate it. Psychologically speaking, humans respond best to stories, so the MLG System helps you develop one around your brand. Your audience is the hero. You’re the guide in their journey.

From there, you build a simple yet flexible messaging strategy that reinforces your value without sounding repetitive. The strategy adapts to every channel and its specific nuances.

Reach (Promotion)

Where does your audience pay attention? How can you reach them when and where they want to be reached?

With infinite time and budget, you could test every channel. But most brands don’t have that luxury. Spreading effort thin across half a dozen channels means nothing gets optimized.

The MLG System prioritizes two to three channels that are either already working or have a high likelihood of success. The rest get sorted into “probably effective” and “long-shots.”

As you test and optimize the priority channels, you cycle in the probables, then eventually the long-shots. It’s a way to get quick impact without leaving results on the table. You just evaluate channels over time instead of all at once.

Momentum (Consistency)

Even with a strong foundation, on-point strategy, and great execution, you’ll fail if you don’t do enough marketing. Especially in B2B.

The average buyer needs over 10 touchpoints before they’re ready to buy. They’re spending more time researching on their own than talking to sales or scheduling demos. Less than 10% of your audience is ready to buy at any given moment.

If you’re not reaching your audience consistently over a long enough period, you won’t see results.

Once your foundation is set, you need to build momentum and keep it going. You do that through focused sprints where you execute against a specific goal or initiative. This process doesn’t stop. You test, learn, optimize, and improve, which leads to compounding growth over time.

Why foundations come before tactics

Here’s what happens when you skip the foundation work:

You launch a paid ad campaign. It drives traffic. But the messaging is generic, so visitors bounce. Even if they stay, they don’t understand why you’re different from three other options they’re comparing. Even if they get that, they don’t know what to do next because your site wasn’t built with a clear buyer journey in mind.

You spent money. You got clicks. Nothing happened.

Or maybe you’re tracking the wrong metrics. You think you’re being successful when you’re not. Or you’re doing great but the numbers say otherwise, so you kill what’s working.

Or you’re reaching people, but they’re the wrong people. You don’t understand your audience well enough to know where they are or what they care about.

Or you’re reaching the right people, but your positioning doesn’t matter to them. They see you. They just don’t care.

Or your positioning is spot-on, but you don’t know how to communicate it in a way they understand or that motivates them to act.

Or you’re not doing enough marketing. You’re spreading yourself too thin across too many channels, or you gave up too soon, or you’re not hitting your audience enough times for it to stick.

Or you’re not testing and improving. You assume you’ve hit the ceiling or that something doesn’t work when it just needed a different approach or more time.

These aren’t tactics problems. They’re foundation problems.

Tactics are the floor pedal. Foundations are the engine. If the engine is weak, pressing harder on the pedal just burns fuel.

The MLG System starts with foundations because they multiply the impact of everything else. Fix positioning and suddenly your content resonates. Clarify your audience and your ad spend gets more efficient. Nail your value story and sales conversations get shorter.

Sprints and Growth Levers

Once you’ve addressed your marketing foundation: North Star Metrics, Audience, Brand Edge, Value Story, you move into sprints focused on reach and momentum.

A sprint is roughly 100 hours of effort focused on a specific growth lever. Growth levers are aspects of improving and executing against an already solid foundation.

The growth levers are:

Audience Growth

Reach more of the right people by growing an existing channel or testing new ones. You might improve search visibility or start building an email list.

Engagement

Increase engagement on your existing channels. You’re reaching people, but are they clicking? Reading? Sharing? Commenting? Subscribing?

Conversion

Turn interest into leads. Improve calls to action. Create new conversion opportunities. Test landing pages, messaging, ads, and creative. This can also include sales enablement, CRM implementation, and lead nurturing.

Brand Authority

Build brand awareness, trust, and credibility. Examples include positioning-focused social and advertising campaigns, testimonial and review acquisition, public relations, and managing AI descriptions of your brand.

Retention and Expansion

Keep existing customers longer. Grow them into bigger accounts. Convert them into advocates who recommend you to others. This can focus on the post-purchase/onboarding experience, customer satisfaction surveys, upsell strategies, reengagement initiatives, and referral programs.

Building a Marketing Engine

The Marketing-Led Growth System treats marketing as what it actually is: a connected system where every part affects the others.

Most companies approach marketing as a series of independent decisions. They pick channels based on what competitors are doing. They create messaging in a vacuum. They set metrics without understanding what drives them. Each decision gets made in isolation, so nothing compounds.

The MLG System reverses that. You start by understanding the foundation—who you’re reaching, what makes you different, how to communicate that difference, and where to focus effort. Then you build on top of that foundation through focused sprints that improve one growth lever at a time.

The result is a marketing engine that gets stronger over time. Early wins fund later investments. Channels that work get optimized. Channels that don’t get cut. Your positioning sharpens as you learn what resonates. Your messaging adapts to what converts.

Marketing stops feeling like guesswork. It becomes a system you can measure, improve, and scale.

If you want to see how it applies to your business, contact us for a quick assessment.

We built a 12-question, multiple-choice assessment that measures all six foundations. It takes about five minutes. You’ll get a baseline rating and see where your gaps are.

From there, you can request a free marketing assessment. We’ll dig into your business, run a few exercises, and show you what fixing the foundation could look like.

No pitch. No pressure. Just clarity on what’s holding you back and what to do about it.

The post The Marketing-Led Growth System: How to Build a Marketing Engine That Actually Works appeared first on Three Seven.

Spoiler: it doesn’t. llms.txt is a way to curate, not to climb. Think of it as picking your outfit before the spotlight hits. It doesn’t make the light brighter, it just makes sure you’re not quoted wearing sweatpants.

What llms.txt Actually Is (and Isn’t)

At its simplest, llms.txt is just a plain text file that lives at the root of your site (/llms.txt). Inside it, you list the content you want large language models to reference. The polished guides, the evergreen FAQs, the research that actually represents your brand.

It’s not robots.txt. It’s not your sitemap. And it is definitely not some secret SEO switch you flip to leapfrog into ChatGPT answers. Right now, adoption across AI tools is spotty at best. But adding it now is a bet on the future. You’re handing AI assistants the right materials before the practice becomes standard. Adoption is still early and voluntary; most major AI platforms haven’t formally committed to honoring these files yet, but they’re watching closely.

llms.txt vs robots.txt: Key Differences

If robots.txt is the bouncer deciding who gets in, llms.txt is the VIP list for AI. Robots.txt tells crawlers what they can or can’t touch; llms.txt points AI assistants to the pages worth quoting. Different jobs, complementary tools. Don’t confuse the two.

What LLMs Actually Pay Attention To

Spoiler: they’re picky. Even with a beautifully written llms.txt file, large language models don’t just take your word for it. They still decide what’s trustworthy based on the same things Google has been hammering for years: expertise, experience, authority, and trustworthiness. That means visible authorship, real bios, organizational identity, and citations.

Think of llms.txt as one layer in a broader ecosystem of machine-readable signals. Even if an AI never reads the file directly, structured data — things like schema markup, author profiles, and clear content types — helps models understand what your pages represent and who stands behind them. In short, schema + E-E-A-T still carry more weight than the file itself.

They also prize content that’s structured for clarity. Short paragraphs, scannable headings, tables instead of long rambles—these things matter because they’re easy to parse. Freshness counts, too. Content that shows it’s been recently updated or reviewed is far more likely to be trusted. And, just like users, AI assistants prefer pages that load cleanly without pop-ups or JavaScript gymnastics.

Should You Block Anything?

In most cases, the answer is no. Blocking content from AI doesn’t protect you; it just limits your reach. The exceptions are when something is outdated, context-dependent, or sensitive. Old pricing pages and deprecated features? Don’t feed them to AI. Legal copy that requires careful context? Probably not safe to summarize. Internal docs that were never meant for public eyes? Definitely block those.

The simplest test is this: if you’d be uncomfortable seeing the content quoted in a press article, don’t make it available to AI.

Myth vs Reality

There’s a lot of noise around llms.txt. Here’s what’s real and what’s still taking shape.

Which LLMs Actually Support llms.txt Right Now

So what does all this mean in practice? Let’s look at where llms.txt actually stands today. While the llms.txt protocol is gaining attention, real-world adoption remains early-stage.

• As of late 2025, major AI platforms—OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini)—have not publicly confirmed that they crawl or follow llms.txt directives.
• Independent audits show that most llms.txt files are not yet being requested by identifiable LLM user agents.
• However, the file is beginning to appear in SEO toolsets like SEMrush, which now flags it as missing in technical audits. This signals that industry platforms are starting to treat llms.txt as part of the modern website checklist.
• OpenAI, Anthropic, and Google haven’t publicly confirmed support — and it’s worth noting that there’s no formal standard yet for how large language models would even read llms.txt. Some may eventually fetch it during crawl-based indexing (like robots.txt), while others could reference it when curating new training datasets. Until major providers explicitly adopt the protocol, its influence is more about readiness than guaranteed compliance.

What this means: Even if AI crawlers aren’t using it yet, llms.txt has entered the visibility conversation. Implementing it now signals that your brand is staying ahead of evolving web standards.

Does llms.txt Affect SEO or Performance?

Right now, llms.txt doesn’t directly impact rankings or speed — but it’s starting to matter indirectly as part of modern site health checks.

• Search engines don’t reference it for indexing, but tools like SEMrush, Ahrefs, and Yoast are beginning to factor it into technical audits.
• This means a missing llms.txt might soon appear as a “minor issue” or “best practice warning” in site health scores.
• The file itself is static and lightweight, so there’s zero effect on page speed or crawl efficiency.

You might start seeing this in your technical audits, too.
Tools like SEMrush have already rolled out warnings like “llms.txt not found — why and how to fix it.” That means it’s officially on the radar for site health and best practices.

How to Verify or Test Your llms.txt File

Testing options are still basic—but that doesn’t mean it’s useless. Here’s what to do:

1. Confirm accessibility
Visit https://yourwebsite.com/llms.txt and make sure it loads correctly (HTTP 200 OK). It must live in your site’s root directory.

2. Check your logs or analytics
Monitor server logs for requests to /llms.txt. You likely won’t see known AI crawlers yet, but logging this now gives you a baseline for future reference.

3. Watch your audit tools
Because SEMrush, Ahrefs, and other scanners are now detecting llms.txt, you can verify recognition directly within their audit dashboards. This is the easiest way to confirm the file is visible.

4. Optional plugin support
Plugins like Yoast SEO and Rank Math are beginning to add llms.txt creation features, making it simple for WordPress users to manage updates alongside robots.txt.

Pro tip: Treat llms.txt like a sitemap or security.txt file—something you add early, keep accurate, and monitor as standards evolve.

Your llms.txt Playbook

So what’s the move?

Start by actually creating an llms.txt file and putting it at your root domain. Use it to point AI toward your canon: your most authoritative guides, FAQs, and research pages. Then make sure those pages are anchored in E-E-A-T—real authors, dates, and a clear organizational identity.

Even though major LLMs like ChatGPT, Claude, and Gemini haven’t confirmed they’re reading these files yet, SEO tools are. SEMrush, Ahrefs, and even Yoast now flag llms.txt as a missing best-practice file—meaning it’s quietly becoming part of technical SEO hygiene. Adding one now positions your site as AI-ready while improving your overall site-health profile.

As you update, focus on readability. Chunk your content into logical sections, lead with clear answers, and use entities and terms that AI can easily map. Finally, revisit the file every quarter. Trim what’s outdated, add what’s new, and keep the signal strong.

# Your Website Name
> A brief one-sentence description of what your organization does and why it matters.  
> Example: "Strategy-led design and digital marketing solutions that help brands grow smarter online."

## Overview
This file follows the emerging [llms.txt](https://github.com/answerdotai/llms-txt) convention proposed by Answer.AI’s Jeremy Howard (2024).  
It provides AI systems with a concise, Markdown-formatted roadmap to your most authoritative and evergreen content.  
AI assistants may summarize or cite the pages below for factual, attributed use only.

Site: https://www.yourwebsitehere.com  
Owner: Marketing / Web Team  
Contact: webmaster@yourwebsitehere.com  
Last-Updated: YYYY-MM-DD  

---

## Solutions / Services
> Core offerings or solution areas that define your expertise.

- [Service One](https://www.yourwebsitehere.com/services/service-one/) — Short one-sentence summary of what it covers.  
- [Service Two](https://www.yourwebsitehere.com/services/service-two/) — Short description emphasizing outcomes.  
- [Service Three](https://www.yourwebsitehere.com/services/service-three/) — Another key area of expertise.

---

## Resources & Guides
> Educational content, tools, and evergreen resources you want AI to reference.

- [Example Blog Post](https://www.yourwebsitehere.com/blog/example-post/) — A practical article offering insights or data.  
- [Case Study Title](https://www.yourwebsitehere.com/case-studies/example/) — Demonstrates a measurable success story.  
- [Guide or Template](https://www.yourwebsitehere.com/resources/template/) — Helpful framework or step-by-step process.  
- [Whitepaper or Report](https://www.yourwebsitehere.com/resources/report/) — Authoritative research or long-form content.

---

## About / Company
> Content that establishes credibility, background, and team expertise.

- [About Us](https://www.yourwebsitehere.com/about/) — Mission statement and leadership overview.  
- [Team Page](https://www.yourwebsitehere.com/team/) — Key contributors or experts.  
- [Results or Case Studies](https://www.yourwebsitehere.com/results/) — Evidence of success.

---

## Optional / Secondary Content
> Pages that provide additional context but are lower priority for AI retrieval.

- [Blog Archive](https://www.yourwebsitehere.com/blog/)  
- [Resource Library](https://www.yourwebsitehere.com/resources/)  
- [Contact](https://www.yourwebsitehere.com/contact/)

---

## Access Policy
Public content may be summarized or cited with proper attribution to *Your Organization Name*.  
Do not train on, reproduce, or redistribute non-public materials (e.g., client portals, draft pages, or gated PDFs).  
If uncertain, treat content as restricted.

---

## Technical Notes
- This file complements **robots.txt** and **sitemap.xml**; it does **not** replace them.  
- Exclude low-value or sensitive directories such as `/wp-admin/`, `/checkout/`, `/login/`, `/private/`, and `/drafts/`.  
- Reviewed periodically as part of ongoing content, SEO, and AI-readiness maintenance.

Important Note: The syntax here is based on early community conventions, not an official spec. Some AI providers are experimenting with alternatives — such as metadata tags (<meta name="llm-access" content="allow">) or HTTP headers — which means the format may evolve. For now, the goal is consistency and transparency, not perfect compliance.

The bottom line

While llms.txt is framed as a best-practice signal, it doesn’t carry legal weight. Major media publishers and organizations are actively exploring data-licensing frameworks and opt-out standards (like noai and noimageai) to manage how their content is used in training datasets. For now, think of llms.txt as a polite request — not a contract — and keep an eye on how industry standards evolve.

llms.txt won’t rocket you into AI answers on its own. It’s maintenance, not magic. Use it to curate, block sparingly, and double down on the signals that actually earn you citations: authority, clarity, and freshness.

As standards mature, expect to see organizations like W3C, Partnership on AI, and the AI Crawl Coalition shaping what ‘AI-ready’ metadata really means. In other words — llms.txt is just the start.

The post llms.txt Explained: What to Share, What to Block, and What Actually Matters appeared first on Three Seven.