AI SEARCH, AEO & SEO

AI search work tied to revenue, not only visibility.

Buyers now ask ChatGPT, Gemini, Perplexity and Google to shortlist vendors before they ever talk to sales. We make sure you're in those answers, described accurately, for the questions that lead to a purchase. And we track whether it turns into pipeline.

Why we work differently

Built by operators who have owned revenue.

Most AI search work is sold on dashboards: mention counts, share of voice, citation totals. We track those too. But a mention that reaches the wrong buyer, or gets your pricing wrong, doesn't help anyone hit a number.

StackedGTM was founded by an operator who ran growth at Affirm and Webflow and was responsible for revenue, not reports. We run AI search the same way: start from the buying decision, work backward to what AI needs to see, and measure what changes in pipeline.

How AI search actually works

Why AI search is a different problem from SEO.

01

Buyers ask specific questions.

Not "best CRM," but "best CRM for a 40-person sales team already on HubSpot." AI answers those questions for a specific situation, so you need to be the clear answer for the situations your best customers are in.

02

One question becomes many searches.

AI search tools often break a question into several searches behind the scenes and combine what they find. Showing up for the question means showing up across those underlying searches, not ranking for one keyword.

03

There are two layers: what AI knows and what it looks up.

Some of what a model says about you comes from what it learned in training, which changes slowly. The rest comes from what it retrieves live, which can change quickly. Each layer needs different work.

04

Much of the answer comes from sources you don't own.

Reviews, community discussions, comparison articles, publications and partner sites all feed AI answers. Your own site is one input among many.

05

Answers vary from one run to the next.

Ask the same question twice and you may get different vendors. A single screenshot proves very little. Reliable measurement means asking many real buyer questions, repeatedly, over time.

What we do

The full job, not one piece of it.

01

Map the buying questions.

We build the set of questions real buyers ask at each stage, including the specific situations they describe, drawn from your sales calls, customers and category.

02

Measure where you stand, properly.

We test those questions across ChatGPT, Gemini, Perplexity and Google repeatedly, so you see how often you appear, which competitors appear instead, and what AI says about you.

03

Make sure AI can read your site.

We check that AI crawlers can access and understand your key pages. Some don't run JavaScript, and many sites block them without realizing it.

04

Make your facts consistent everywhere.

Your category, pricing, integrations and who you're for should say the same thing across your site and every source that describes you. Inconsistency is a common reason AI gets companies wrong.

05

Fix the pages AI relies on.

Product, pricing, comparison, alternatives and documentation pages are where AI goes for specifics. We make them clear, current and easy to cite.

06

Earn coverage where AI looks.

We work to get you represented accurately in the reviews, communities, comparison articles and publications that feed answers in your category.

07

Correct what's wrong.

When AI describes you inaccurately, we trace where the wrong information comes from and fix it at the source.

08

Connect it to pipeline.

We set up tracking for AI-referred traffic and conversions, and pair it with what buyers tell your sales team about how they found you.

09

Hand it over.

Your team owns the question set, the reporting and the playbook.

A common mistake

More content is rarely the answer.

Many AI search plans come down to publishing more: more posts, more pages, more keywords. It's easy to count, so it's easy to sell. It usually misses what's keeping you out of the answer.

AI often answers from sources you don't own.

If reviewers and comparison articles describe your category without you, more posts on your own site won't change that.

Volume can dilute your most important facts.

Dozens of thin, overlapping pages make it harder for AI to find the clear, current answer about what you do and who you're for.

Your most important pages usually already exist.

Product, pricing and comparison pages are where AI looks for specifics, and they're often vague or out of date.

Accuracy isn't a volume problem.

If AI says something wrong about you, the fix is the source of the error, not another article.

We build new pages when there's a real gap. More often, the bigger gains come from fixing what exists, making your facts consistent and earning coverage elsewhere.

How we measure

Numbers you can take to your CFO.

01

Visibility, measured honestly.

How often you appear across a large set of real buyer questions, tested repeatedly, not a handful of hand-picked screenshots.

02

Accuracy.

Whether AI describes your product, pricing and positioning correctly.

03

Traffic and conversions.

Visits and signups from AI tools, tracked on your site.

04

What buyers tell you.

Many people read an AI answer and never click, then show up later by name. We add "how did you hear about us" to forms and sales conversations, and watch for growth in people searching for you directly.

05

Pipeline.

Where the data connects, we report on opportunities and revenue. Where it doesn't, we tell you.

What you can expect from us

Straight answers, start to finish.

We tell you what we can't promise.

No one controls what AI tools say. We improve the signals they rely on, measure the change, and won't claim more than that.

We show our work.

You see what we changed, where, and what happened after.

We say when something isn't working, and change course.

We recommend tools on fit.

If a tool we suggest sponsors our publication, we tell you.

Background

Our founder, Josh Grant, was VP Growth at Webflow, where his team built the company's AI search program in-house, reaching 80% answer share in the CMS category despite under 2% market share, plus 300+ incremental AI citations. It is now one of the most studied AEO programs in the market, and he has gone on to run the same play at dozens of companies in our portfolio.

Companies we work with

CoderPad

dozens more

FAQs

It depends on where the gaps are. Fixes to what AI retrieves live can show up relatively quickly. Changing what models learned in training takes longer. We'll tell you which is which for your situation.

Other services

Start with where you stand today.

Tell us what you're working on, and we'll show you where you appear in AI search and what we'd do first.