How AI Visibility Monitoring works
From domain check to AI visibility baseline to website fix plan.
VerisAI checks whether a website is open to AI crawlers, readable by them, and structured enough to be cited — then shows the priority risks and fixes behind the result.
1. AI systems form a company profile
When buyers ask AI about vendors, AI systems build a profile from the signals they can read: what the company does, who it serves, where it operates, and how credible it appears.
Example: if service descriptions are inconsistent, AI systems may place the company in the wrong category or describe the offering incorrectly.
2. VerisAI checks the visible signals
AI Visibility Monitoring checks whether your website gives AI systems clear, accessible, and consistent information about your company.
3. VerisAI maps risks to website causes
When AI answers are wrong or incomplete, the cause is often visible on the website: blocked access, weak company facts, inconsistent pages, thin service content, or broken structured data.
Can AI access the site?
robots.txt, sitemaps, indexability controls, canonical paths, and URL variants — so AI crawlers can reach one stable version of the website.
Can AI identify the company?
About, contact, legal entity, location, ownership, and company facts across key pages — kept consistent across variants and languages.
Can AI read structured facts?
Organization and WebSite schema, contact points, identifiers, and validation of critical fields — without conflicting IDs or ambiguous sameAs links.
Can AI understand what you do?
Service descriptions, positioning language, contradictions, thin pages, and missing context that can force AI systems to guess.
4. VerisAI calculates an AI Visibility Score
The monitoring baseline produces an AI Visibility Score from 0 to 100 across 8 layers:
- L1 — Gateway
- Whether AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, GrokBot) are allowed in robots.txt and can fetch the page. A blocked gateway immediately sets the score to 0.
- L2 — SSR Quality
- Whether the page delivers a complete, server-rendered HTML response: valid title, H1 tag, 500+ characters of visible content, and valid JSON-LD on initial load.
- L3 — Indexability
- Presence and accuracy of canonical tags, lang attribute, and valid JSON-LD structure. Penalties reduce the content score — prevents ambiguous entity signals.
- L4 — Content Quality
- Type-specific semantic scoring (Organization, Article, Product, etc.) — checks entity clarity, schema completeness, contact info, social links, team signals, and description quality.
- L5 — Technical SEO
- Baseline web health: HTTPS, valid sitemap, responsive viewport, and asset optimization (CSS, JS, image counts).
- L6 — On-Page SEO
- Semantic markup quality: heading hierarchy, alt text coverage, internal link density, and OpenGraph/Twitter card completeness.
- L7 — Multi-LLM Citation Readiness
- Per-platform citation signal scoring for ChatGPT, Gemini, Claude, Perplexity, and Grok — based on bot access, FAQ presence, question-format headings, definition lists, author attribution, and structured data.
- L8 — SEO Activity
- Signals of active SEO management: GTM/GA4, sitemap scale (30+ URLs), blog/content section, hreflang, advanced schema types, and 3rd-party SEO tool presence.
For detailed scoring methodology, formulas, and documentation sources, see AI Visibility Score Methodology.
5. VerisAI compares website facts with AI answers
In Monitoring Starter, AI Citation and AI Visibility use one monthly brand check for each of OpenAI and Gemini.
- Website fact extraction: VerisAI fetches the target domain and derives crawler-visible facts from VCL Layer 4 Ground Truth Completeness. This is deterministic website analysis, not generative fact extraction.
- Ground truth gate: If critical identity facts are missing or L4 completeness is too low, the diff stops and reports that stronger website ground truth is needed before AI comparison is reliable.
- AI answer check: When the gate passes, VerisAI asks OpenAI and Gemini to describe the named company.
- AI Citation: VerisAI records whether verified brand pages were cited and keeps the cited-page evidence.
- AI Visibility: Each answer is compared with the website facts to measure the factual match.
Each result is time-stamped and retained in Starter history. Claude, Perplexity and Grok are shown as locked PRO platforms and are not measured in Starter.
6. Your team gets clear outputs
Outputs are snapshot-based and time-stamped so your team can fix priority issues and rerun checks after deployment.
- AI visibility baseline: what selected AI systems can read and say about the company.
- Evidence map: which website signals support or weaken AI understanding.
- Priority website findings: access, indexability, content, schema, and citation-readiness issues.
- Knowledge Diff findings: where AI answers diverge from visible website facts.
Run a free AI Readiness baseline. See whether a website is open to AI crawlers, readable by them, and structured enough to be cited.