AI search visibility
Find out what AI tells buyers about you.
SeenInSearch puts the questions your buyers actually ask to ChatGPT, Google AI Overviews and Perplexity — then scores how often you appear, where you rank, and who gets recommended instead.
Free · No account needed · Every weight published
A buyer asks
Best project management tools for a small design team?
The answer names
For a small design team, Northwind is usually the first recommendation for its visual planning, with Acme a solid alternative when you need tighter approval workflows.
- Your rank
- #2
- Cited
- g2.comreddit.com
- Verdict
- Named second
Answer engines
- ChatGPT
- Google AI Overviews
- Perplexity
- Gemini
- Claude
- Google AI Mode
Gemini, Claude and Google AI Mode are not queried yet — nothing they say counts toward your score.
The blind spot
You can read every review, every ranking and every dashboard you own — and still have no idea what an assistant says about you the moment a buyer asks.
- No ranking to check
- No referrer
- No signal at all
Why it matters
Search stopped being a list of links.
Answer engines do not return ten options for the buyer to weigh. They return a recommendation. Being in it is the whole game.
01
A buyer asks an assistant
Instead of opening ten tabs, they ask one question in plain language and wait for an answer.
02
The assistant answers with a shortlist
Three or four names, in an order, with sources attached. Most people never scroll past it.
03
That shortlist is the consideration set
If you are not named, you are not evaluated. There is no second page to rank on any more.
04
And it decides who gets the deal
Being absent from the answer removes you before a conversation ever starts — silently.
The scorecard
The whole picture on one page.
Every scan produces the same report: one number, the five sub-scores behind it, the competitors named instead of you, and the engines it was all measured across. Switch engines below — the breakdown and the headline recompute from the same weights /methodology publishes.
AI Visibility Score
61
Visible
You show up in AI answers, but not always first.
- Presence 35% weight71
- Prominence 20% weight58
- Share of voice 20% weight44
- Citations 15% weight55
- Sentiment 10% weight78
Share of voice
- You4
- Northwind3
- Contoso2
- Globex0
Scored by engine
Engine weights are renormalised over the engines that actually answered — pick one to see its own breakdown.
Citations
Every answer leans on something.
One buyer question fans out across the engines, and each answer cites its sources. We track which domains those are — and whether yours is ever one of them.
- We read what was attributed
- Citation domains come straight out of the engines’ own responses. Nothing is inferred from a link we went and found, and no cited URL is fetched or verified — we report what the answer said it leaned on.
- Being cited is not the same as being named
- An answer can recommend you without linking you, or link a review site that happens to mention you. Those are different failures with different fixes, so they are measured as separate sub-scores.
- Third parties are the usual answer
- Most answers lean on review sites, forums and documentation rather than the vendor's own pages. Which of those you can realistically influence is what the recommendations further down this page are for.
The full fan-out
The same mechanic at the scale a scan runs it: one question, every engine, and the sources behind each answer. Hover any node to isolate its path.
Illustrative structure, not a live scan. Citation domains come straight from the engines' own responses — we read what they attributed, we do not infer it.
What you get
Six measurements, no dashboard archaeology.
Each scan returns the same set of signals, so the number means the same thing every time you run it.
AI visibility analysis
How often you appear across the buyer questions we ask, and how high you rank when you do.
Share of voice
Every competitor the answer named alongside you, tallied question by question.
Citation tracking
Which sources the answers leaned on, and whether your own domain was one of them.
Sentiment read
Whether a mention was positive, neutral or negative — not merely that it happened.
Per-engine breakdown
The same five scores, engine by engine, so you can see exactly where you go missing.
Deterministic scoring
Scores are computed in code, not written by a language model. The same run gives the same number.
The question set
The questions are yours, not a template.
A visibility score is only worth the questions behind it. Yours are generated from what your homepage says you sell, then put to every engine — 6 on a full report, 3 on the free teaser.
- Written from your own homepage
- We fetch your site first and infer what you sell from it. The questions are about your category, not a generic template — and if your site can't be reached, the scan says so rather than guessing quietly.
- High intent, not your brand name
- Not “what is Acme”. The questions are the ones a buyer types when they are choosing between options and have not decided yet — which is the moment where being named actually changes anything.
- Every question, to every engine
- All 6 go to each of the 3 answer engines — 18 answers in a full scan. One engine liking you is not a result.
Answer engines
Where the questions actually go.
Every question goes to the 3 engines we query. The other 3 are drawn, not queried — so they cannot move your number.
- Solid means we query it
- ChatGPT, Google AI Overviews and Perplexity each have a validated adapter. Every full scan puts all 6 questions to all 3 of them, in the same run.
- Dashed means roadmap, not coverage
- Gemini, Claude and Google AI Mode are drawn as outlines because no scan queries them: the adapters exist, but none has been run against the live API, so nothing they would say counts toward your score. A diagram is a worse place for a false capability claim than a sentence is.
- Scored engine by engine
- The same five sub-scores are computed per engine, so you can see exactly which one you go missing on. The report also records which engines answered and which failed, rather than quietly dropping them.
How it works
Four steps, about a minute.
The answer phase is capped at 85 seconds. Nothing about the run is hidden — the report records which engines answered and which failed.
- 1
Enter your domain
No account and no card. We read your homepage first, so the questions are about what you actually sell.
- 2
We ask what your buyers ask
6 buyer questions, put to ChatGPT, Google AI Overviews and Perplexity — 18 answers in all.
- 3
The score is computed in code
Five sub-scores with fixed, published weights. A language model reads the answers; it never sets the number.
- 4
You get the report
Where you ranked, who was named instead, which sources were cited, and the fixes worth doing first.
Inside a run
Five stages, in the order the worker runs them.
Above is what you do. This is what happens after you hit scan — ask, collect, parse, score, publish — and the order is not editorial, it is the order the code executes.
- Ask and collect are time-boxed
- The answer phase is capped at 85 seconds. An engine that fails inside that window is recorded as failed and excluded — the report never quietly presents four answers as if they were six.
- Parsing and scoring are different jobs
- A language model reads the answers and extracts what was said. The score is then computed in code from fixed, published weights — the model never sets the number, which is why the same run gives the same result.
- Publish is the last stage, not an email
- The run ends at a report on its own URL, which is why the final volume in the figure stands taller than the four before it. Nothing is held back for a follow-up.
Example report
Know exactly what lands before you run one.
This is the anatomy of a full report, filled in with an illustrative scan. Nothing here is a mock-up of a feature that does not exist.
- Overview
acme.com scored 61 out of 100 — Visible. Named in four of six buyer questions, usually second behind Northwind.
- Visibility score
- 61Visible
You show up in AI answers, but not always first.
- Strengths
- Named in 4 of 6 buyer questions
- Tone is consistently positive when you do appear
- Weaknesses
- Ranked second or lower in most answers
- Your own domain is cited less often than review sites
- Competitors
- Northwind3 of 6
- Contoso2 of 6
- Globexnot seen
- Verbatim answer
What are the best project management tools for a small design team?
For a small design team, Northwind is usually the first recommendation for its visual planning, with Acme a solid alternative when you need tighter approval workflows. Contoso is worth a look if budget is the main constraint.
Ranked 2 of 3 named brands
- Citation sources
- g2.comReview roundup
- reddit.comCommunity thread
- capterra.comCategory listing
- acme.comYour own site
- Recommendations
- Publish a comparison page against Northwindhigh impact · medium effort
You are named second in most head-to-head answers. A direct comparison page gives the engines something to cite when the question is framed as a choice.
- Get listed in the category roundups AI already citeshigh impact · low effort
Three of the four sources behind these answers are review directories. Your absence from two of them is why citations trails presence.
- Add structured data to your product pagesmedium impact · low effort
Clear product markup makes it easier for answer engines to attribute a claim to your own domain rather than to a third-party listing.
What to fix first
Every fix arrives with a price on it.
A list of everything wrong is a report you close. Each finding carries an impact and an effort, so the cheap high-return work is visible at a glance instead of buried three bullets down.
- Two fields, not a priority theatre
- Every finding is stored with an impact and an effort, and that is the whole ranking model. No weighted urgency index, no colour-coded tiers over the top of a guess.
- Cheap and high-impact is a position, not an opinion
- A report returns five fixes. Reading them against both axes is what separates the one worth doing this afternoon from the one worth a quarter — the highlighted marker is the most impact for the least work.
- Written from your run, not a checklist
- The fixes are drafted from what the scan actually saw — the questions you were missing from, the sources that cited someone else, the engines that never named you. A generic AEO checklist would not need your results to produce.
Methodology
You can check our arithmetic.
The score is not a black box and not a vibe. Five signals, fixed weights, computed in code — so the same scan always produces the same number, and you can see precisely which part is dragging you down.
- Presence35%
Do you show up at all across the buyer questions we ask.
- Prominence20%
When you are mentioned, how high you rank among the names given.
- Share of voice20%
Your mentions weighed against every competitor the answer also named.
- Citations15%
How often the answer links back to your own domain rather than a third party.
- Sentiment10%
How positively you are described when you do get mentioned.
Trust
Reasons to believe the number.
A visibility score is only worth as much as the process behind it. Here is what that process actually guarantees.
Scores computed in code
A language model reads the answers. It never decides the number — that happens in a scoring function with fixed weights.
Weights published in full
The methodology page imports the same constants the scorer runs on, so the published numbers cannot drift from the real ones.
You control publication
Reports are public by default at a URL derived from your domain. If you own the scan, you can unpublish it in one click.
No third-party analytics
No trackers, no ad pixels, no session recording. Product events are written to our own database and nowhere else.
No account for the free scan
We ask for an email only when you want the full report — and then only to send it to you.
Failed engines are disclosed
Every report records which engines answered and which did not, so a thin scan can never pass itself off as a complete one.
FAQ
Questions worth asking first.
How is the score calculated?
Which AI platforms do you analyse?
How accurate is the report?
Can I compare myself against competitors?
How often is the data updated?
Do you store my data?
Do I need an account?
How long does a scan take?
Find out where you stand.
One domain, one scan, no account. You will know within a minute whether answer engines are recommending you — or recommending someone else.