AI VISIBILITY, MENDED

See where you’re missing from AI answers — and get it fixed.

When your customers ask ChatGPT, Perplexity or Gemini for a recommendation, either you’re in the answer or a competitor is. Answermend shows you which — then gives you the files that fix it — ready to paste, or to hand to whoever built your site.

For small businesses and the people who run their websites — not enterprises, and no technical knowledge needed to start.

See what we can check now 4 tools running · no account, no email

The four generators below run today. The AI visibility scan — which engines name you, and who they name instead — and the three site checks are still in build; their pages are live and show a labelled example.

or read what actually gets measured → No account needed

The Answermend report screen: 7 of 8 prompts named the brand, 3 cited, 4 mentioned only, and the question-by-engine table below it. The screen is tagged EXAMPLE DATA.

2 fixes ready to paste

the report screen · example data, not a customer

CHECKS THE ANSWERS IN

  • ChatGPT
  • Perplexitypaid plans
  • Gemini
  • Google AI Overviewspaid plans

engines we can’t measure are named, not guessed

  1. 01

    Your customers already ask AI for recommendations.

  2. 02

    Either you’re in the answer, or a competitor is.

  3. 03

    Most brands have never checked. Checking is free.

Free tools. The result on screen, before any email.

No signup, no email — the result appears on screen.

Running now Four tools, in your browser. Nothing is sent anywhere.

How a brand ends up in — or missing from — an AI answer.

Illustrative example. Not a real scan.

  1. 01

    A customer asks

    “best crm for small law firms?”

    A buying question, typed into an assistant. Not a keyword — a sentence with a decision behind it.

  2. 02

    The engine looks in two places

    What the model already remembersRecalled, not looked up. No page is opened.

    Pages it fetches liveReal pages, opened while the answer is written.

    This fork is the whole thing. One path is recall — nothing is retrieved, so nothing can be linked. The other is a live fetch, and it leaves a URL behind.

  3. 03

    The answer is written

    best crm for small law firms?

    Most shortlists come down to Competitor A (from a page it fetched), Your brand (from memory only — no page fetched) and Competitor B (from a page it fetched).

    from a page it fetched from memory only

    Three brands make the shortlist. Two of them had a page opened and read. Yours was named from memory alone, with no source standing behind it.

  4. 04

    You end up cited, mentioned, or missing

    • cited

      The engine opened your page and pointed at it as a source.

    • mentioned

      Your name appeared, from memory. No page was opened, nothing was linked.

    • missing

      You are not in the answer at all. Another brand has the slot.

    Every question in your report lands on one of these — or is marked not measured when a check did not run. Never counted as a zero.

A memory gap and a fetch gap are not the same problem. One is about what the web already says about you; the other is about whether your own pages can be reached, read and quoted. The fixes have nothing in common — which is why the report keeps cited and mentioned apart instead of adding them into one number.

What the report looks like.

sample report · illustrative data

2 fixes queued

question your customers ask ChatGPT Perplexity Gemini
best crm for small law firms missing mentioned missing
↳ seen in 0 of 5 runs · competitors cited instead: 2 · fix ready: comparison page + Organization schema
document automation software reviews cited cited mentioned
is [your brand] legit cited not measured cited
best crm for small law firms — what a mended row looks like cited cited mentioned

cited = your site was fetched as a source mentioned = named from model memory only missing = not in the answer not measured = check didn’t run — never shown as zero

See. Know. Mend.

Illustrative example. Not a real scan.

  1. 01

    SEE

    “best crm for small law firms” mentioned

    “crm with a client portal” cited

    “law firm crm pricing” not measured — this check did not run, so nothing came back and nothing is counted

    the check ran it didn’t run — nothing counted

    Run the free checks. See whether the engines can read you, and whether the answers mention you — the headline on screen, before any email.

  2. 02

    KNOW

    one question, run five times

    3 of 5 runs named your brand. Two did not — so the honest answer is a spread, not a yes or a no.

    named not named

    Know which questions you’re missing from and who’s winning them instead. The free check asks each question once and says so — repeated runs, and the trend they show, are what the paid plans add.

  3. 03

    MEND

    The gap the runs found leaves as a file you can ship — dashed becomes solid.

    faq-schema.json open ↗ llms.txt open ↗

    Get the fixes as files — not advice. Artifacts you paste into your site, not a list of things to do later.

Fair questions.

What’s the difference between mentioned and cited?

Mentioned means the model named your brand from memory. Cited means it fetched and linked your page as a source. The first is a reputation signal, the second is a content and crawling problem — they need different fixes.

Which engines do you check?

The free scan covers ChatGPT and Gemini. Paid plans add Perplexity and Google AI Overviews. Any engine we cannot measure is named as unmeasured rather than guessed at.

Do I have to sign up to see results?

The four generators are open — nothing gated. The three site checks have their pages live, with the check itself still in build. When the visibility scan ships it will show the headline free, with the full prompt-by-prompt list by email. It is not running yet.

Can you guarantee my brand gets mentioned?

No — and nobody can. What we can do is show you exactly where you’re missing, and fix what those systems actually read on your site.

What this tool will not do

Three limits we hold ourselves to

Each one is visible in the product, not only stated here.

  • Not measured is never zero

    A check that hasn’t run says not measured — never shown as zero, because those are different facts. A missing key, a failed call or a rate limit makes a run unrun, not empty.

    What the report prints

    not measuredthe check did not run

    What it never prints

    0 / 5 — struck through: never printeda count that was never earned

  • Every tool prints its limits

    Every tool states its limitations on its own page: what it can see, what it infers, what it cannot. The block below sits on the tool, not in the marketing.

    Limitations block

    • Readsthe pages it actually fetched, and the answer text a run returned
    • Inferswhat that markup lets an engine quote — an inference, not an observation
    • Cannot seewhy an engine chose what it chose. No API exposes that, so we do not model it
  • No guaranteed mentions

    No one can guarantee an AI mention — anyone who says otherwise is selling a number they don’t control. What is in scope is the work, and it is the whole of what we promise.

    In scope

    • The checks run, and you see every result
    • The files are delivered — schema, llms.txt, robots.txt

    Never promised

    • A mention in any answer
    • A citation in any answer
FREE MONTHLY REPORT · STILL BEING BUILT

Watch it change month to month.

Once your checks are set up, the monthly report will show what moved — before you pay for anything. It is still being built: the form below does not sign you up yet, and says so when you press the button rather than faking a confirmation.

Once it runs: one email a month, what moved and one thing to do. · unsubscribe anytime

Check where you stand, then fix it.

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