AI Visibility
7 queries — website visibility in AI models
AI Visibility sends 7 queries (2 direct + 5 dynamically generated) to 3 AI models and measures what they know about your website. A total of 21 evaluations per audit. For each response we extract knowledge depth, company profile, competitors, sentiment, ranking position and hallucination rate.
Requires Web Fingerprint
AI Visibility requires a prior Web Fingerprint for the given domain. Fingerprint provides the basic website profile used for generating Discovery queries and detecting hallucinations.
Two phases: Knowledge + Discovery queries
Knowledge queries (K1, K5): 2 direct queries containing the domain name — measures what AI models know about your website directly.
Discovery queries (D1-D5): 5 AI-generated queries based on the fingerprint — without mentioning the domain. Tests whether AI spontaneously recommends your website when asked about your topic.
Knowledge queries — direct questions about the domain
2 direct queries × 3 AI models = 6 evaluations(from BASIC plan)
Does AI know your domain? Complete profile — who is behind it, industry, services/products, target audience, strengths and weaknesses + automatic competitor extraction.
“Do you know the website {domain}? Create a profile — who is behind it, what industry it operates in, main products or services, target audience, strengths and weaknesses, and main competitors.”
Would AI recommend your website? Measures the willingness of models to actively recommend.
“Would you recommend the website {domain} to someone looking for their type of services or products? Why or why not?”
Discovery queries — generated from Fingerprint, without mentioning the domain
5 AI-generated queries × 3 models = 15 evaluations(from BASIC plan)
AI generates a question about your main topic without mentioning the domain — tests spontaneous recommendation.
“I'm looking for [main topic]. What websites, companies or tools would you recommend?”
Question about your category/segment — does your website appear among the recommendations?
“What are the best [category] solutions? I'm mainly interested in [keyword].”
Question combining your keywords — measures organic visibility.
“I need [keyword 1] and [keyword 2]. What platforms or tools do you know?”
Question about a secondary category from enrichment — tests breadth of visibility.
“I'm looking for the best [category 2] options. What do you recommend for [keyword]?”
Question targeting the local market — tests regional visibility.
“Where can I find [keyword]? What are the best options on the local market?”
What is measured in each response
Knowledge levels
Collected data
- Company profile — type, industry, services, target audience, region
- Reputation — sentiment (positive/neutral/negative), strengths and weaknesses
- Competitors — automatically extracted domains with mention frequency
- Ranking position — at which position AI recommends your domain (1-5+)
- Direct link — whether the answer contains a direct HTTP link to the website
- Model confidence — how confident the model is (0.0-1.0)
Hallucination detection (cross-check)
We compare each AI model response against real data from the Web Fingerprint — the main website topic and keywords. If the AI response doesn't match what the website actually does, we detect a hallucination and reduce the score.
Similarity ≥ 0.50 — response consistent, no score change
Similarity 0.35-0.49 — partial match, knowledge level capped at "partial"
Similarity < 0.35 — hallucination! Downgraded to "confused"
Example: Model claims "IT circular economy" but fingerprint shows "moving company" → similarity 0.31 → hallucination detected, score reduced.
Tested AI models (3)
ChatGPT
OpenAI
Google Gemini
Perplexity
Perplexity AI
Each query is tested on all 3 models simultaneously. Results are aggregated by query, model and topic.
Visibility scoring
Overall score = 25% Knowledge + 75% Discovery
Knowledge (25%)
Base score = knowledge level (none=0, confused=10, partial=40, good=75, excellent=100)
Bonuses:
- +5 — response contains a direct link to the domain
- +5 — model confidence ≥ 0.8
- +5 — positive reputation sentiment
Penalties:
- -10 — response processing failed (fallback mode)
Discovery (75%)
Discovery score = 70% mention rate + 30% ranking position
How often AI spontaneously mentions your domain across all discovery responses
At which position AI recommends your domain: 1st = 100pts, 2nd = 75pts, 3rd = 50pts, 4th = 25pts, 5th+ = 10pts
Automatic extraction of competitor domains mentioned in responses with mention frequency
Automatic competitor extraction
From each AI model response we automatically extract competitor domains — what websites AI recommends instead of or alongside yours.
Try AI Visibility
Find out what AI models know about your website and how they recommend you to users.
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