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Know what AI recommends.
And why.

Track your brand across AI answer engines, understand why competitors win, and know exactly what to improve.

No signup required for your first visibility check.

Engines tracked
  • OpenAI
  • Claude
  • Gemini
  • Perplexity
  • Google AI Overviews

Illustration of an AnswerRank scan: the site acme.com is checked against three buyer questions across OpenAI, Claude, Gemini and Perplexity, producing an AnswerRank score of 68, 31 percent AI visibility, 17 opportunities, against a competitor scoring 82.

The shift

Search rankings are no longer the whole picture.

Ranking #1 does not help when the answer never lists you. AnswerRank measures the layer that sits above the blue links.

  • Buyers ask AI

    Your future customers increasingly ask AI tools what to buy, before they ever open a search results page.

  • Answers choose brands

    AI answers recommend a shortlist of products before users visit any company website. You are on that list, or you are not.

  • Traditional analytics miss it

    Classic analytics can tell you a session happened. It cannot tell you why another company was recommended instead of you.

The loop

Track → Explain → Improve → Prove

Most tools stop at the first step. A number without a cause is not actionable, and a change without a re-test is not proof.

  1. 01

    Track

    See where your brand appears across AI answer engines, prompt by prompt.

  2. 02

    Explain

    Understand the competitors and citations shaping the answer you are losing.

  3. 03

    Improve

    Get evidence-backed recommendations tied to the exact prompts they affect.

  4. 04

    Prove

    Re-run the same prompts after the change and measure what actually moved.

Track

Your AI visibility, in one number.

The AnswerRank Score combines visibility, recommendation rate, position, citations and sentiment into a single 0–100 figure — and shows you every component that produced it.

  • Weighted toward high-intent buying questions, not vanity queries.
  • Reported with sample size and confidence, never as a bare number.
  • Provider failures are excluded, so an outage never looks like a collapse.
Explore visibility tracking
Demo dataset
AnswerRank
68▲ +7

n = 240 valid checks · medium confidence

AI visibility
31%
Share of voice
19%
Recommendation
12%
Owned citations
24%
By engine
  • OpenAI41%
  • Perplexity36%
  • Gemini28%
  • Claude22%
  • AI Overviews18%
Demo dataset
Northwind82
Your brand68
Evidence suggests
  • citation gaps17
  • missing comparison topics6
  • high-intent prompt losses12
Explain

Don’t just see who’s winning. See why.

Every gap is traced back to the specific prompts, citations and content that produced it — so the finding is arguable, not just assertable.

AnswerRank reports association, not causation. Findings are phrased as “evidence suggests” and always link to the observed answers behind them. We will not tell you a change is guaranteed to work.

See competitor intelligence
Explain

Find the sources shaping AI answers.

AI answers are built from cited sources. AnswerRank shows which domains keep appearing behind the answers in your category — and which of them mention your competitors but never you.

Demo dataset
  • saasreviewhub.comReview platform14 promptsMentions competitors, not you
  • devforum.ioCommunity11 promptsMentions competitors, not you
  • martechweekly.comPublication9 promptsCites you
  • northwind.com/compareCompetitor-owned8 promptsMentions competitors, not you
  • acme.com/pricingYour website3 promptsCites you

Influence is scored from citations AnswerRank actually observed in its own scans. It is not a claim about model training data, which no third party can see.

Improve

Turn visibility gaps into clear work.

Recommendations arrive scoped, prioritised and attached to the evidence that produced them — ready to hand to a writer or an engineer.

See the action engine
Demo dataset

Create a competitor comparison page

Impact: HighEffort: MediumConfidence: 87%
Evidence
  • 12 prompts affected
  • 5 competitor citations
  • 3 content gaps
Demo dataset
Comparison page experimentCompleted
Before
51
After
63
AnswerRank +12
AI visibility
27% → 41%
Evaluation window
14 days

Same prompts, same engines, same market, measured before and after. External factors are uncontrolled — an experiment is evidence, not proof.

Prove

Know whether the fix actually worked.

Freeze the prompt set, make the change, and re-run the identical checks. AnswerRank reports the delta with its sample size — and refuses to declare a result when the sample is too thin.

How experiments work
Trust

We tell you exactly how each number was collected.

AnswerRank measures web-grounded provider APIs and licensed structured SERP data. Every data point carries its collection method, and we never claim an API response is identical to a signed-in consumer chat session.

  • OpenAI web-grounded API

    Tracked using OpenAI’s Responses API with the hosted web search tool enabled. Citations are the sources the API itself attributes.

    OpenAI Responses API + web search tool

  • Claude web-search API

    Tracked using the Anthropic Messages API with the server-side web search tool. Citations come from the tool’s own search results.

    Anthropic Messages API + web search tool

  • Gemini + Google Search grounding

    Tracked using the Gemini API with Google Search grounding. We store the grounding metadata, including the search queries Gemini issued.

    Gemini API + googleSearch grounding tool

  • Perplexity web-grounded API

    Tracked using the Perplexity Sonar API, which is web-grounded by design and returns its search results alongside the answer.

    Perplexity Sonar API

  • Observed Google AI Overview SERP data

    Observed through a licensed structured SERP provider that captures the AI Overview element for a given query, location and device.

    DataForSEO SERP API (ai_overview element)

We do not scrape authenticated consumer interfaces, and we do not present sampled data as exhaustive.

Read our methodology

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