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
Citerank · AI citation scanner · live
Your buyers ask AI before they Google. Is it sending them to a competitor?
Citerank is the AI citation scanner at citability.dev. Your CiteRank score (0-100) measures how often AI engines cite your site.
Citerank measures whether AI assistants recommend, cite, and quote your site. The AVR Score runs three checks: Visibility (is your domain in the model's signal), Recommendability (does the model mention you for relevant queries), and Citability (does it link back to specific pages). Every report is SHA-256 signed. The methodology is published openly at chudi.dev/framework.
Free · no credit card · ~15 seconds · 10 live AI-readiness checks
Free · no credit card
Featured on freeCodeCampChatGPT · Claude · Perplexity · GeminiReal, live AI testsPublic methodology
scan/liverun_01HXK9F2
01$ citability scan --q "best vector db" --models all
02dispatching 4 models × 1 query
03chatgpt/gpt-5.1 ... 1.24s
04cited · pinecone · pos 1 · 92% conf
05claude/4.5 ... 0.91s
06cited · pinecone · pos 2 · 87% conf
07perplexity/sonar ... 2.02s
08mentioned · pinecone · side-by-side w/ weaviate
09gemini/2.5 ... 1.58s
10absent · pinecone · competitors cited: 3
11AVR 68 / 100 · band at-risk
12$ receipt sign --run_01HXK9F2
live result · run_01HXK9F2
Cited in 3 of 4 AI answers
Is your site in the answer? Or is a competitor?
ChatGPT citedClaude citedPerplexity mentionedGemini absent
SHA-256 signed · full verbatim answer included
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 Neither one tells you when Claude recommends a competitor, Perplexity cites an outdated docs page, or Gemini omits your category entirely.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 your existing analytics stack is blind to every single one of those answers.
verbatim model output · gpt-5.1
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_01HXK9F2E9Q8cited · 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?
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: 12 AI-readiness checks in ~15 seconds
See exactly where your site stands before deciding whether a paid audit is worth it.
Visibility
$49one-time
See what AI says about you today
The number you can say in Monday's meeting: your AI brand-awareness score, benchmarked against similar sites, with the first fix to hand your team.
- 20 brand-awareness queries
- Per-AI breakdown + brand-awareness score
- robots.txt AI rules + bot response code check
- Benchmark vs. similar sites
- 48-hour delivery
Citations
$99one-time
Find out if AI links back to your pages
Check whether the AI tools actually link to your site when they answer questions.
- 20 citation queries
- Cited vs. not-cited breakdown
- Markdown negotiation check (93% payload savings)
- Fact-block content scoring
- Benchmark vs. similar sites
- 48-hour delivery
Full Audit (no call)
$199one-time
Full report, roadmap, and competitor comparison
The full report, written roadmap, and competitor comparison, all self-serve.
- All audit sections + 5 Cloudflare-backed checks
- Agent readiness tier (WebMCP + AgentCard)
- Crawl signal + cross-engine citation test
- 5-7 prioritized fixes with roadmap
- Competitor comparison (your site vs. 2)
- 5-day delivery
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. 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?
No. The Visibility, Citations, and Full Audit tiers are one-time purchases. You get the report, the receipts, and the prioritized fix list. Re-run when you want a fresh snapshot. There is no recurring billing on the self-serve tiers.
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 citabilityVisibility vs recommendability vs citabilityWhy you're mentioned but not linkedThree-anchor calibrationBenchmarking AI visibility: 6 sites
Ready to run it on your site? See pricing or start with the free scan.
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