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AI Perception Scan

Find out how AI perceives your brand.

Visible. Understood. Recommended. Or not.

Enter your website. We ask ChatGPT, Gemini, Perplexity, and Google AI Overviews the questions your buyers ask, score you against your closest competitors, and tell you whether the gap is visibility, positioning, or both.

Free demo. No credit card.

Sample AI Perception score: 71 of 100, Leader.

71
/ 100
Leader
The blindspot

Your buyers ask AI who to choose. Your brand may not be the answer.

58%
CTR collapse
at position 1 when AI Overviews appear
Source · Ahrefs
27%
YoY organic-traffic drop
HubSpot
51%
of B2B software buyers start research in AI chatbots
G2
Conversion lift from AEO optimisation
HubSpot

B2B buyers ask ChatGPT, Gemini, Perplexity, and Google AI Overviews who to choose before they ever hit your site. If your name isn't in the answer, the deal is already drifting.

The scan tells you exactly where you sit. Built for B2B SaaS and e-commerce.

What you get back

A perception score, what's wrong, and what to do about it.

Your score and where it comes from. The questions you're losing and to whom. A prioritised list of moves ranked by impact and effort.

One report, shareable with the team, ready to brief from on Monday.

Coverage
Live
ChatGPT Weak Mentioned
Perplexity Mentioned Cited often
Gemini Weak Mentioned
AI Overviews Low
Overall score / 100
▼ 8 pts vs competitors ▲ +10 pts vs competitors Competitor avg · 63
Prioritized actions Next cycle
01 Rewrite pricing page for citability High +7
02 Ship FAQ schema on top 8 pages Med +5
03 Earn 3 category review citations High +6
Competitor race

Where you stack up against the names buyers actually compare you to.

Your brand and the competitors your buyers actually weigh you against, scored on the same scale: same questions, same engines, same week.

You see exactly who owns the answers you want, who's within reach, and how far the gap really is.

Sample competitor score race: your brand vs the four closest competitors on the same 100-point scale.
  1. 1 Hooli
    82
  2. 2 Aviato
    76
  3. 3 Pied Piper
    71
  4. 4 Bachmanity
    54
  5. 5 Initech
    38
You sit  7 pts above  the category average of 64 and  11 pts behind  the category leader, Hooli.
Where you win and lose

Every buyer question, on every engine. Win, lose, or missing.

"Improve our AI visibility" is not a plan. The matrix turns it into one: it shows the exact questions where competitors take the answer instead of you, and on which engine.

You leave knowing which fights to pick first.

Presence matrix: sample coverage grid showing how four AI engines surface a brand across six buyer prompts. Presence scale: absent, weak, mentioned, cited often, owned. Highlighted cells mark where Growth Path recommends targeted improvement.
best CRM for SaaS startups
affordable CRM for small teams
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Salesforce better alternatives
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best agentic CRM options
ChatGPT
Gemini
Perplexity
Google AI Overviews
Presence matrix: AI engine × prompt coverage
Engine best CRM for SaaS startupsaffordable CRM for small teamsCRM for product led SaaSSalesforce better alternativesCRM with Stripe integrationbest agentic CRM options
ChatGPT OwnedCited oftenAbsent (recommended)OwnedMentioned (recommended)Cited often
Gemini OwnedCited oftenWeakCited oftenMentionedCited often
Perplexity Cited often (recommended)MentionedAbsent (recommended)MentionedWeakMentioned (recommended)
Google AI Overviews Cited oftenMentionedWeakOwnedWeakMentioned
Source influence map

The third-party pages AI actually cites in your category.

Owned, earned, missing. Which pages drive AI answers in your category, which ones already cite you, and which cite competitors instead.

The action plan starts from the gaps.

OWNED docs · site · repo COMMUNITY forums · dev threads PRESS & ANALYST media · research AI ANSWERS YOUR BRAND "best vector DB for RAG" "open-source RAG stack" "vector DB comparison" "enterprise vector search" "Pinecone vs alternatives" Docs.yoursite GitHub README Reddit r/mlops StackOverflow TechCrunch Analyst report (gap) YOUR BRAND cited in 4 / 5 answers
5 answers
6 sources
You
Owned
docs · site · repo
Docs.yoursite Strong
"best vector DB for RAG"
GitHub README Strong
"best vector DB for RAG""open-source RAG stack"
Community
forums · dev threads
Reddit r/mlops Present
"open-source RAG stack""vector DB comparison"
StackOverflow Present
"vector DB comparison"
Press & Analyst
media · research
TechCrunch Weak
"enterprise vector search""Pinecone vs alternatives"
Analyst report Gap
"enterprise vector search"
Your brand
cited in 4 / 5 answers
Opportunity
Analyst report shapes one answer but never cites you. Closing this gap is the highest-leverage move.
+14 est. recommendation lift
Citation constellation: illustrative source-to-answer flow
Source Band Citation strength Answers it feeds
Docs.yoursite Owned Strong "best vector DB for RAG"
GitHub README Owned Strong "best vector DB for RAG"; "open-source RAG stack"
Reddit r/mlops Community Present "open-source RAG stack"; "vector DB comparison"
StackOverflow Community Present "vector DB comparison"
TechCrunch Press & Analyst Weak "enterprise vector search"; "Pinecone vs alternatives"
Analyst report Press & Analyst Gap "enterprise vector search"
The content plan

The content that decides whether AI recommends you.

  • Your content. Which pages already earn citations, which need work, and which are missing entirely.

  • Competitor content. The pages winning the answers you want, so you know the bar.

  • Third-party presence. The outside sources you need to appear in for AI to recommend you more.

The action plan

Leave with the exact order of work.

Every finding becomes a move: what to publish, what to fix, what to pitch, ranked by how much it improves the way AI sees you against the effort to ship it. Hand it to the team as is.

  1. Publish a category comparison page
    +10 Effort · Medium
  2. Fix LCP and TBT Core Web Vitals on key pages
    +7 Effort · Medium
  3. Pitch a use-case feature to two third-party domains
    +7 Effort · Medium
  4. Add FAQPage and Article schema to product pages
    +4 Effort · Low
  5. Refresh the homepage value prop for AI-extractability
    +6 Effort · Low
What we measure

Two parallel scores. Two different problems.

AI Perception is what engines say about you when buyers ask category-level questions. AI Readiness is what your site is built to do about it. Together they tell you which lever moves the needle.

AI Perception score
71 / 100 Emerging
  • AI visibility 68%

    How often AI mentions you on buyer queries.

  • Competitive position 75%

    Where you rank against named rivals.

  • Positioning clarity 70%

    How consistently AI describes what you do.

  • Source coverage 72%

    Coverage across the third-party sources AI cites.

AI Readiness score
64 / 100 Foundation set
  • Crawlability 85%

    Robots, sitemap, and crawler access across the site.

  • Renderability 60%

    Server-rendered content engines can read without executing JS.

  • Structured data 40%

    Schema.org coverage on the page types AI engines extract from.

  • Content 75%

    Density, freshness, and category coverage of indexable pages.

  • Trust 55%

    HTTPS, canonical, and outbound-citation hygiene.

Two scores because positioning and technical readiness are two different problems with two different fixes.

How it works

In five minutes, the system does the work of a week.

  1. Step 1: Reads your site.

    Crawls and understands your whole site: what you sell, who it's for, and which competitors you're compared to.

  2. Step 2: Builds your buyers' questions.

    The questions real prospects ask in your category before they choose, derived from your market and your site.

  3. Step 3: Asks the engines that matter.

    ChatGPT, Gemini, Perplexity, and Google AI Overviews, with live retrieval: the answers your buyers see today, not stale training data.

  4. Step 4: Verifies every answer.

    Brand strength, competitor mentions, every cited source. Every claim in your report traces back to the answer it came from.

  5. Step 5: Scores perception and readiness.

    How AI talks about you, and whether your site helps or hurts it.

  6. Step 6: Builds the report.

    Scores, the competitive picture, the sources that matter, and your action plan. One shareable link.

Pro credits

The report you'd pay thousands for, from €99 a credit.

One Pro scan: every buyer question across five engines including Claude, your competitors scored beside you, the sources shaping the answers, and a prioritised action plan with a PDF to brief from. The kind of analysis that takes days by hand and costs thousands to commission, done in five minutes.

1 Pro credit
€149 + VAT
€149 per credit
3 Pro credits Save 11%
€399 + VAT
€133 per credit
10 Pro credits Best value
€999 + VAT
€99.90 per credit

Agencies and teams: custom volume pricing

Talk to us
Try it first

Run a free demo on your domain.

The demo runs a shorter version of the scan: your perception score, how the engines answer a sample of your buyers' questions, and where you stand against competitors. Free, no credit card. When you're ready, the full report unlocks everything: the complete action plan, content analysis, source sentiment, and PDF export.

Not sure which you need? See how Pro and Lite compare

Run your scan

See where AI puts your brand.

Free demo. No credit card.

Prefer a 30-min walkthrough? Book a call →

FAQ

Questions about the scan.

And answers worth having before you book one.

Which AI engines do you check?

Every scan checks ChatGPT, Gemini, Perplexity, and Google AI Overviews. Pro adds a fifth engine, Claude. Together they cover the buyer journey across answer engines, generative search, and AI overlays on Google.

How long does the scan take?

Under five minutes for most domains. Depending on the amount of sources cited and your category, it might take slightly less or more.

Can I share or export it?

Yes. Share the link with your team, post share cards, download the PDF, or email a copy to yourself.

Does it work for e-commerce sites?

Yes. The scan auto-detects e-commerce sites and adapts the queries and checks.

What languages do you support?

English-only for now. We will add other languages as the engine support matures.

How is this different from the Deep Audit?

The scan is a five-minute snapshot. The [Deep Audit](/deep-audit) is a 5-business-day comprehensive diagnostic with a citation source map, named-competitor analysis, content analysis, and a prioritised action plan, walked through live.

Can I re-scan?

You can use your credits to scan whatever domain you want. However, we recommend not scanning more often than once per week, as improvements and changes take time to be visible.

Can I try it before I buy?

Yes. The free demo runs a shorter scan on your domain and shows your score and part of the report. The full report runs deeper on every dimension and unlocks the complete action plan, content analysis, source sentiment, variance checks, and PDF export.

Do Pro credits expire?

No. Credits never expire. Buy them when you need them and use them whenever you want.

What happens if a scan fails?

The credit goes straight back to your account, automatically. A failed scan never costs you a credit.

Do you charge VAT?

Prices are shown excluding VAT. VAT is added at checkout where required, and you get a proper invoice for every purchase.

Can I get a refund?

Yes, on unused credits, within 30 days of purchase. Email us and we refund them at the per-credit price you paid. Used credits and scans already running are non-refundable.