AI Search Visibility (AEO)

AI search visibility: be the answer, not the tenth blue link.

We measure exactly what ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, and Copilot say about your business when a customer asks, then fix what is keeping you out of the answer.

Six named surfaces, a locked set of the questions your customers actually type, three runs per question, and screenshots of every result. You will see what we saw.

Illustrative AI Visibility Audit overview for a fictional business: a composite score of 56 out of 100, scores for the five pillars, share of voice against two competitors across six AI surfaces, and the top priority fixes.
Illustrative screens on this page use a fictional business and fictional data.

What is answer engine optimization?

Answer engine optimization, or AEO, is the work of making your business the source an AI system cites when it answers a customer's question. Traditional SEO competes for a position in a list of links. AEO competes to be inside the answer itself, which is a different job with different mechanics.

The mechanics differ from SEO in three ways that matter.

Your website is not the only thing being read. It matters enormously, and everything below assumes you are fixing it. But 80% of AI citations come from third-party sources rather than a brand's own content (BuzzStream, 12,000 AI responses, 2026): directories, review platforms, industry roundups, community discussion, and video. Wikipedia and Reddit alone drive over 25% of ChatGPT's US citations (5W Research, 2025).

They extract from structure rather than reading a page top to bottom, so how a page is organized affects whether it can be quoted at all.

They strongly prefer recent material. 50% of AI citations come from content published or updated within the last 13 weeks (Amsive, 2025).

Why did our rankings hold while our traffic dropped?

Because the answer is being given without you. The customer got what they needed on the results page, or inside a chat, and never reached the list your ranking lives in.

Google AI Overviews now appear on 48% of all Google queries (SE Ranking and SeoProfy, 2026), and top organic results are seeing click-through fall by 15 to 46% (multiple studies, 2025 to 2026). Your position did not move. The thing above your position did.

Google AI Mode ends 93% of its sessions with zero clicks to any external site (Semrush, 69 million sessions, 2026). Google AI Mode is a separate conversational surface from Google AI Overviews, not a different name for the same feature.

The two cite the same URLs only 13.7% of the time (Ahrefs, 540,000 query pairs, 2025), which means being cited in one is close to no evidence that you are cited in the other.

The other half of the story

The traffic that does arrive from AI search is better than what it replaced. Visitors referred by AI convert at 4 to 5 times the industry average (Ahrefs and Semrush, 2025), because they arrive already recommended rather than still comparing. Fewer visits, better visits. That is the trade, and it only works in your favor if you are the business being recommended.

Why your analytics under-report all of this

Two different things happen when an AI system talks about your business, and only one of them reaches your reporting.

A citation is a clickable link to your site. It sends a visitor, and that visitor is counted.

A mention is your name appearing in the answer with no link attached. Only 23.1% of AI brand mentions include a citation back to that brand's own domain (BuzzStream, 12,000 AI responses, 2026), so most of the time what you get is a mention. It sends nobody directly and your analytics record nothing at all. But the customer now has your name. What they usually do next is search for you, or type your address straight in, at which point your own reporting files them under branded search or direct traffic. The answer that actually produced the customer gets credited nowhere.

Illustrative probe result: a ChatGPT answer to a customer question that names the fictional business without linking to it, while citing both competitors' websites.

That gap is the reason this gets measured deliberately rather than inferred from a dashboard.

Illustrative locked question set for a fictional business: 24 customer questions run three times each across six AI surfaces, with every run marked as cited with a link, mentioned with no link, or not present.

How do you measure something ChatGPT says?

By asking it, on the record, the same way every time. We build a locked set of the questions your customers actually ask, run each one three times across every surface in scope, capture the transcripts and screenshots, and score the result against a fixed rubric. Lock the questions and the score becomes comparable quarter over quarter, which is the only way to prove anything moved.

Two analyses run underneath the score. The first asks whether your site can be found, read, and cited at all. The second asks what AI systems currently say about you, and how far that is from what you want them to say.

The measurables

Named plainly, because these are the terms you will be comparing against other quotes: share of voice per engine, mention rate against citation rate, sentiment and accuracy, competitor comparison on identical questions, and coverage by service category. The audit page breaks each one down.

The five pillars

Each pillar carries equal weight in the composite AI Visibility Score.

P1

Technical Readiness

Can AI crawlers reach your site, and does your page still have content when JavaScript is switched off?

10 checks

P2

Structured Data & Extractability

Is there a machine-readable declaration of who you are, and is the page structured so an answer can be lifted out of it cleanly?

10 checks

P3

Content & Freshness

Does your content answer real questions, in depth, recently enough to be cited?

7 checks

P4

Authority & Entity

Do the third-party sources AI systems trust actually mention you, consistently?

7 of 9 live off your site

9 checks

P5

AI Visibility

When we ask the real questions, do you appear, and what is said about you?

6 checks

Composite

AI Visibility Score

The number a Quarterly Recheck moves

42

checks across five pillars

The six Brand Gap dimensions

The gap analysis that opens every engagement. It measures the distance between how AI describes you today and how you need to be described.

Visibility Gap

How often you are named, compared with your direct competitors

Narrative Gap

The distance between your intended positioning and how AI actually describes you

Topic Gap

High-value subjects where you have no AI-recognized authority

Format Gap

Content types AI systems prefer to cite that you have not produced

Web Mentions Gap

Absence from the third-party lists and directories AI uses to build consensus

Demand Gap

Branded and near-intent searches where you are not showing up at all

What can we buy from you?

Five things, in order of depth. Most businesses enter at the audit and decide about remediation once they have seen it.

Lite Scan

An automated score with no human probing and no manual verification. One page of results, produced quickly, to tell you whether there is a problem worth investigating.

Best for: Finding out if you have a problem at all.

Run a Lite Scan

Illustrative one-page Lite Scan result with an automated score and five pillar bars.

AI Visibility Audit

The core product. A full five-pillar audit combining automated checks with manual probing across every surface, every client-facing finding verified by a human before it reaches you, delivered as a branded report with an evidence appendix and a walkthrough call.

Best for: Knowing exactly where you stand and precisely what to fix.

See what the audit covers

Illustrative audit findings, each marked pass, partial, or fail and verified by a human, above an evidence appendix.

AI Visibility Audit Pro

The core audit plus your own analytics integrated, an additional answer surface added to the probe set, and a competitor deep-dive.

Best for: Competitive categories, and businesses that need to see the gap against a specific rival rather than the field.

Illustrative competitor deep-dive comparing a fictional business's pillar scores with a single rival's.

Remediation, in three tiers

The fixes, scoped from your audit findings.

  • Tier 1 Foundation. Technical audit and remediation, entity and schema setup, Google Business Profile optimization, Brand Gap analysis, a content strategy brief, and content launch through the first 90 days. Built for smaller businesses and newer clients.
  • Tier 2 Growth. Everything in Tier 1, plus ongoing content production, video strategy, backlink outreach, quarterly content refreshes, and monthly AI visibility reporting. This is the most common engagement structure.
  • Tier 3 Authority. Everything in Tier 2, plus multi-platform presence management, programmatic page builds, listicle campaigns, daily publishing, competitor share-of-voice tracking, and executive brand building.
Illustrative remediation plan with fixes grouped into Tier 1 Foundation, Tier 2 Growth, and Tier 3 Authority.

Quarterly Recheck

The same rubric and the same locked question set, rerun. You get a delta report showing exactly what moved.

Why it matters: This is the only honest way to prove the work did anything. A recheck against different questions is not a measurement, it is a new opinion.

Illustrative Quarterly Recheck delta report comparing a fictional business's pillar scores across two quarters on the same question set.

How is this different from an SEO audit or an AI grader?

Three comparisons come up on almost every call.

Against free AI graders and SaaS scanners

Those return a number. We sell judgment plus evidence: a human verifies every client-facing finding against the transcripts before it reaches you, and every failed check comes with what is wrong, what it costs you, and the specific fix. A score with no fix attached is a diagnosis with no prescription.

Against enterprise AI monitoring platforms

Those tools report continuously and well, and they are built for teams who already have the people to act on what they surface. We are the strategy and the hands. If you have a marketing department of one, a dashboard is another thing to check rather than a thing that gets fixed.

Against a traditional SEO audit

A traditional SEO audit does not examine AI surfaces at all. It will not tell you what ChatGPT says about you, whether Google AI Overviews cite you, or whether Google AI Mode names your competitor instead. Our report covers both layers, because the technical hygiene that helps one helps the other.

Is this the right fit?

This work pays off when there is already something for an AI system to find and cite. If there is not, the honest answer is to build that first and audit later.

Right for you if

  • Your organic traffic has softened without an obvious cause, and your rankings have not moved
  • Your customers are the kind of people who now ask an AI tool before they ask a friend
  • You are in a category where being recommended matters more than being found
  • You already invest in SEO or content and want to know whether it is reaching the new surfaces
  • You want evidence rather than a dashboard, and a fix list rather than a score

Maybe not yet if

  • Your website is brand new and has almost no content. There is nothing yet for an AI system to cite. Publish first, audit in a quarter.
  • You have no Google Business Profile and no third-party presence anywhere. Start with the basics, which are cheaper and are prerequisites for everything we would recommend.
  • You expect to be the top answer within thirty days. Freshness helps, but authority accrues over quarters.
  • You want the score without the remediation. The audit is worth buying alone, but a score you do not act on changes nothing, and we would rather say that now.

Questions about AI search visibility.

What is the difference between AEO, GEO, and AI SEO?

In practice, very little. AEO stands for answer engine optimization, GEO for generative engine optimization, and AI SEO is the loose umbrella term. All three describe the work of getting your business cited inside AI-generated answers. The industry has not settled on a winner, and both AEO and GEO are in active use. We use AEO because our methodology, rubric, and service tiers are already built around it.

Are Google AI Overviews and Google AI Mode the same thing?

No, and treating them as one thing is the most common mistake we see. Google AI Overviews are the AI-generated summaries inside the normal Google results page. Google AI Mode is a separate conversational interface. They cite the same URLs only 13.7% of the time (Ahrefs, 540,000 query pairs, 2025), so appearing in one is almost no evidence that you appear in the other. Both have to be probed and reported separately, and we do.

How long does it take to show up in AI answers?

It depends on which pillar is holding you back. Technical fixes, such as an AI crawler being blocked or a page that renders empty without JavaScript, can change what a system can see within a crawl cycle. Authority and entity work, which is about third-party mentions and consensus, accrues over quarters. Anyone quoting you a fixed number of days is quoting a schedule they do not control.

Can you guarantee we will appear in ChatGPT?

No, and we would not trust a firm that did. What we can do is measure exactly where you stand today, fix every factor that is within your control, and rerun the identical question set each quarter so you can see what actually moved. That is a measurement, not a promise.

Do we still need traditional SEO?

Yes. The technical foundation that ranks a page is largely the same foundation that lets an AI crawler read and cite it. AEO is a layer on top of good SEO, not a replacement for it. A site with broken canonicals and blocked crawlers fails both.

What if AI is saying something wrong about our business?

That is a Narrative Gap, and it is one of the six dimensions we measure. It is also more common and more fixable than most owners expect. Inaccurate answers usually trace back to thin or inconsistent entity information: a name, address, or service description that differs across your site, your Google Business Profile, and the directories that list you. Making those consistent is unglamorous and effective.

If AI pulls from other websites, does our own site still matter?

Yes, and they are two different jobs. Off-site sources largely decide whether you get mentioned at all: directories, review platforms, industry roundups, community discussion, and video are where these systems build their sense of who is worth naming in your category. Your own site decides whether you get cited as the source, whether what is said about you is accurate, and whether the visit turns into a customer. A system that has decided to recommend your kind of business still needs somewhere authoritative to point, and that is you. Your site is also the only part of the picture you control outright, which is why remediation starts there: two of the five pillars we score, Technical Readiness and Structured Data & Extractability, are entirely about your own website.

Find out what AI says about you.

The uncomfortable part of this category is that you are already being described, whether or not anyone has checked. Somewhere in the answers your customers are reading, there is a version of your business that you did not write. The first useful thing anyone can do is go and read it.