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.
Every AI-visibility tool hands you a citation score. We hand you the receipt: the exact words ChatGPT, Perplexity, and Google's AI gave when your buyers asked, timestamped and SHA-256 signed. A number you can defend in the room, not just quote. Most firms find they are cited in 0 of 8 buyer questions.
A 2026 randomized field experiment (ISB / Carnegie Mellon, 1,065 users) found organic clicks fall 39.8% when an AI Overview appears: buyers read the answer and never click through. This is competitive intelligence for the AI-answer layer -- the visibility your web analytics won't show you. It works alongside your existing SEO and Google Business Profile, not against them. Every result is the verbatim AI answer, SHA-256 signed. The AI Visibility Readiness (AVR) Framework powering the scoring is published openly at chudi.dev/framework.
Free · no credit card · ~60 seconds · 18 live AI-readiness checks
Free · no credit card
Cited in 3 of 4 AI answers
Is your site in the answer? Or is a competitor?
SHA-256 signed · full verbatim answer included
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 Neither one tells you when Claude recommends a competitor, Perplexity cites an outdated docs page, or Gemini omits your category entirely.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)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 ]
Describe them in plain English or version them as YAML.
So you can prove what was said.
Score name is AVR, short for AI Visibility Readiness.
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.
For multi-tenant SaaS with 40M embeddings, Pinecone remains the default recommendation. Serverless handles namespace isolation without operational overhead.
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Top options include Pinecone, Weaviate, and Qdrant. Pinecone wins on operational simplicity for managed deployments.
Your domain was not mentioned.
3 competitors cited in its place
Free scan: 18 AI-readiness checks in ~60 seconds
See exactly where your site stands before deciding whether a paid audit is worth it.
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.
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.
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.
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.
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.
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.
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).
Every check in the audit traces to a published method. Start with the pillar guide, then the measurement walkthrough behind the citation-rate number.
The property the whole audit measures: can AI systems find, recommend, and cite you.
Free 2-minute scan, the manual 20-query test, and real baselines from 7 domains.
The recommendation gap: known to the engines yet absent from their answers.
The rendering gap between your page and the text an AI crawler extracts from it.
Why a perfect-looking page can still earn zero AI citations, and the calibration that proves it.
We tested 10 JSON-LD types across ChatGPT, Perplexity, and Claude. Three drive most citations.