01Ask
Ask the questions your buyers actually type, on a schedule, across every major AI tool.
Describe them in plain English or version them as YAML.
42 queries × 4 models · every 4h
Citability · verbatim AI receipts · live
Your buyers ask AI first. Someone gets named.
We run your real buyer questions across ChatGPT, Claude, Perplexity, and Gemini, then hand you the word-for-word answers. Your AI visibility, measured on live retrieval, with every result timestamped and SHA-256 signed.
Typical first scan
Zero out of eight
buyer questions where AI named the firm running the scan
- absent“best vector database for a small team”
- absent“cheapest way to run RAG in production”
- absent“vector db with the simplest pricing”
- absent“vector store that scales past 10M vectors”
- absent“who to use instead of pgvector”
- absent“alternatives to Pinecone in 2026”
- mentioned“managed vector search, ranked”
- absent“best vector db for a RAG chatbot”
Illustrative example · not a live result
Free · no credit card · ~60 seconds · 18 live AI-readiness checks
Free · no credit card · ~60 seconds · 18 live AI-readiness checks
Organic clicks fall 39.8% when an AI Overview appears. Your analytics stack cannot see any of it.ISB / Carnegie Mellon · 1,065 users · 2026Scoring method published at chudi.dev/framework
Featured on freeCodeCampChatGPT · Claude · Perplexity · GeminiReal, live AI testsPublic methodology
Built by Chudi Nnorukam, AI-Visible Web Architect and freeCodeCamp author.
01 /ProblemAI answers are not AI links
Why can't your analytics stack see the answer a buyer just read?
GA4 shows zero sessions and rank trackers show blue links. Neither one tells you when Claude recommends a competitor, Perplexity cites an outdated docs page, or Gemini omits your category entirely. AI assistants are now the buyer's first stop -- and a 2026 randomized field experiment (ISB / Carnegie Mellon, 1,065 users) found that when an AI Overview appears, organic clicks fall 39.8% with no measurable gain in click quality. Your existing analytics stack is blind to all of it.
Source: Agarwal & Sen, SSRN 6513059 (2026)verbatim model output · gpt-4o-mini-search-preview
user
which vector database should I use for a multi-tenant SaaS with 40M embeddings?
model
I'd compare Weaviate and Qdrant. Both support namespace isolation and hybrid search. Pricing starts around $500/mo self-hosted.
[ your product was not mentioned ]
02 /How it worksscan · capture · sign
How does it work? Three simple steps, and every result is the proof.
02Proof
We save the full AI answer word for word, with the time, model, and a tamper-proof tag.
So you can prove what was said.
rcpt_01HXK9F2 · sha256:a3f…9e2b
03Score
We turn every AI answer into one simple 0-100 score anyone on your team can read at a glance, without burying the details underneath.
Score name is AVR, short for AI Visibility Readiness.
68/ 100at-risk
03 /Proofwhat you can show your team
What does each AI tool actually say? See every word, side by side.
You can see every AI answer in full on the proof page. The proof page shows what the AI said word for word, which sources it cited, who else it mentioned, the timestamp, which AI tool said it, and a tamper-proof signature you can share with your team. No paraphrasing, no summary, no editing.
● cited● mentioned● absent
Receiptrcpt_01HXK9F2E9Q8illustrative examplecited · 3/4
- query
- "best vector database for multi-tenant rag"
- domain
- pinecone.io
- run
- run_01HXK9F2 · 2026-04-17T14:22:11Z
- hash
- a3f2e9b8c1d47c2e…09e2b
For multi-tenant SaaS with 40M embeddings, Pinecone remains the default recommendation. Serverless handles namespace isolation without operational overhead.
What if you ask the same query of four models? · illustrative example
ChatGPTcited
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Claudecited
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Perplexitymentioned
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Geminiabsent
Your domain was not mentioned.
3 competitors cited in its place
04 /Pricingpick what fits
Start here -- no card needed
Free scan: 18 AI-readiness checks in ~60 seconds
See exactly where your site stands before deciding whether a paid audit is worth it.
Monitoring
$49/ month
Know the moment AI stops citing you
A scan is one moment in time. Monitoring watches your site every day and re-runs your buyer questions every month, so you find out from us and not from a lost deal.
- One domain, up to ten buyer questions
- Daily llms.txt, robots.txt, schema, sitemap, and canonical checks
- Monthly citation delta across ChatGPT, Claude, Perplexity, and Gemini
- $490 a year if you pay annually (two months free)
- Cancel anytime in the Stripe portal
Citation Gap Diagnostic
From $1,500one-time
Find out who AI names instead of you
Real buyer questions run live across the AI tools, the word-for-word answers they gave, and the exact fixes to hand your web team. If it tells you nothing you did not already know, it is free.
- Your real buyer questions, run live across ChatGPT, Claude, Perplexity, and Google's AI
- The word-for-word answers, showing who gets named and who does not
- Gap score: cited in N of 8 questions
- The competitors named in your place
- Exact fixes written for your web team
- 30-day re-test, refunded if your citation rate has not improved
Visibility Sprint
From $4,500/ sprint
We make the fixes for you
Four weeks where we do the work instead of handing you a list, then re-test to prove it moved. Two slots a quarter, so it starts with an application.
- Weekly kickoffs
- Schema, structured data, and FAQ build-out
- Content fixes
- Sold with the managed retainer so the delta is measured
- Application required
Not sure what you get? Read a real sample report before you buy.
05 /FAQcommon questions
Frequently asked questions
What is AVR?
AVR stands for AI Visibility Readiness. It is a 0-100 score that tells you whether ChatGPT, Claude, Perplexity, and Gemini are actually mentioning, recommending, or citing your brand when buyers ask the questions your category gets. It rolls up live AI test results into one number your whole team can read.
How is this different from Ahrefs, Semrush, or Google Analytics?
Traditional SEO tools measure clicks, impressions, and rank in blue links. We measure what AI assistants actually say to your buyers. Ahrefs sees the keyword universe but cannot tell you whether Claude recommended you yesterday. A 2026 randomized experiment (ISB / Carnegie Mellon) found that Google AI Overviews reduce organic clicks 39.8% with no compensating gain in click quality -- a signal that lives entirely outside any blue-link analytics tool. We test the AI output directly, then save the verbatim answer with a tamper-proof tag.
Which AI models do you test?
ChatGPT (OpenAI), Claude (Anthropic), Perplexity, and Gemini (Google). Each query runs across all four models. You get a per-model breakdown plus an aggregate score, so you can see exactly which AI surfaces are recommending you and which are skipping you entirely.
Do I need to commit to a subscription?
Not for the reports. The Visibility, Citations, and Full Audit tiers are one-time purchases: you get the report, the receipts, and the prioritized fix list, and re-run whenever you want a fresh snapshot. The only subscription is the optional AI Visibility Monitoring plan ($49/month, cancel anytime).
06 /Methodologyfrom the blog
How we measure, in the open
Every check in the audit traces to a published method. Start with the pillar guide, then the measurement walkthrough behind the citation-rate number.
PILLAR
What is AI citability?
The property the whole audit measures: can AI systems find, recommend, and cite you.
MEASUREMENT
How to measure your AI citation rate
Free 2-minute scan, the manual 20-query test, and real baselines from 7 domains.
DIAGNOSIS
Why AI recommends competitors, not you
The recommendation gap: known to the engines yet absent from their answers.
CRAWL
What AI crawlers actually see
The rendering gap between your page and the text an AI crawler extracts from it.
PILLAR
The 0% ChatGPT citation trap
Why a perfect-looking page can still earn zero AI citations, and the calibration that proves it.
SCHEMA
Which schema markup AI actually uses
We tested 10 JSON-LD types across ChatGPT, Perplexity, and Claude. Three drive most citations.
More:What is AI citabilityVisibility vs recommendability vs citabilityWhy you're mentioned but not linkedThree-anchor calibrationBenchmarking AI visibility: 6 sitesHow to audit AI visibility8 tools that measure citation rateWhat is AI Visibility Readiness (AVR)What is LLM SEODoes llms.txt help AI citationsAI citation share benchmarksWhat is AI citation rate
Ready to run it on your site? See pricing or start with the free scan.
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