Global Fact Hub
example.com
Independent AI visibility snapshot · generated 2026-11-05 07:22 UTC
Reused from the 30-day snapshot

Only 1 of 3 engines answered — not enough to judge consistency yet.

1 of 3 engines returned an answer in this run. Engines without an answer are shown as No data, never as a zero score.

AI answers1 of 3 engines answered
The question we asked AI models

“What is example (example.com)? Describe what the company or product does.”

Visibility score

Heuristic index, not a third-party ranking.

Based on 1 sampled answers from 1 engines.

Brand presenceweight 35%No data
Website citedweight 30%0%
Source diversityweight 15%No data
Positionweight 10%No data
Fact consistencyweight 15%No data

Heuristic index: 50% mention rate + 30% citation rate + 20% positive sentiment. This is our own index, not a third-party ranking.

How AI describes you

One-line summary per engine. The full text opens below, without JavaScript.

ChatGPT

No answer from this engine in this run.

openai/gpt-6.1-terra

Unavailable

Gemini

This engine did not return an answer for this snapshot. The other engines still run.

gemini-3.5-flash-lite · Prompts sampled 4

Unavailable

Perplexity

**example.com is not a company or commercial product.** It is a domain reserved by the Internet Assigned Numbers Authority (IANA) for use in documentation, tutorials, manuals, and sample configurations.[1][4] Its webpage is intentionally minimal and serves as a placeholder when authors need a gener…

sampled 2026-11-05 07:22 UTC · sonar · Prompts sampled 4

Mentions brand · 1/1No official-site citation · 0/1
All 1 sampled answers

  • Prompt: What is example (example.com)? Describe what the company or product does.

    **example.com is not a company or commercial product.** It is a domain reserved by the Internet Assigned Numbers Authority (IANA) for use in documentation, tutorials, manuals, and sample configurations.[1][4] Its webpage is intentionally minimal and serves as a placeholder when authors need a gener…
Available
Cross-engine description consistency — Not enough data

Simple keyword and entity comparison across the sampled answers. No second LLM is used to judge.

No data

At least two engines with an answer are needed to compare descriptions.

Brand mentions & citations (last 30 days)

Measured on 1 sampled answers in this snapshot. The snapshot is reused for up to 30 days.

Measured
Mention rate100%1 of 1 answers
Website cited0%0 of 1 answers
Sampled answers1In this snapshot
Engines sampled1Perplexity

Top third-party cited domains

blog.cloudflare.com1
debugbear.com1
developers.google.com1
en.wikipedia.org1
examples.com1

Bar length does not imply weight: every domain above has the same number of citations in this sample.

AI Agent readiness

Measured with plain HTTP requests only: no browser, no JavaScript, no LLM. Checks cover robots.txt AI groups, llms.txt, Markdown negotiation, ai-catalog.json, the standard .well-known documents, soft 404s and server-rendered content.

Score 57 / 100
Model trainingGPTBot: no ruleClaudeBot: no ruleGoogle-Extended: no ruleApplebot-Extended: no rule
AI search & citationOAI-SearchBot: no ruleClaude-SearchBot: no rulePerplexityBot: no rule
User-triggered fetchesChatGPT-User: no ruleClaude-User: no rulePerplexity-User: no rule
Primary content is present without JavaScriptP0WARN

Words in the raw HTML: 27.

Server-render or pre-render the main content: several agent fetchers do not run JavaScript, so a client-side shell reads as an empty page.

robots.txt is reachableP0WARN

robots.txt returned HTTP 404.

No robots.txt means everything is allowed, but no AI-usage preference is declared. Publish one deliberately.

Deliberate robots.txt policy for AI agentsP1WARN

Explicit groups: none.

Every AI agent falls through to the '*' group. Add named groups when your policy differs by purpose (training vs search vs user fetches).

llms.txt exists and follows the Lighthouse rulesP1WARN

HTTP 404 (text/html; charset=utf-8), 577 bytes.

No /llms.txt. Publish one with an H1, a '>' summary and Markdown links so agents get a compact map of the site.

Markdown version available on requestP1WARN

Content-Type: text/html; charset=utf-8. Vary: Accept not set.

Optional: serve a Markdown version via 'Accept: text/markdown' (with 'Vary: Accept'), a rel=alternate type=text/markdown link, or a .md URL.

Unknown URLs return a real 404P1OK

Probe returned HTTP 404.

ai-catalog.json is discoverable and validP1SKIP

Skipped: no catalog is advertised.

Content-Signal preference declaredP2SKIP

Skipped: no Content-Signal line.

Agentmap directive presentP2SKIP

Skipped: no Agentmap line.

Standard .well-known discovery documentsP2SKIP

Skipped: no discovery document is published.

Score: weighted share of the checks that could be measured (p0 = 3, p1 = 2, p2 = 1; a warning counts half; skipped checks are excluded). The bar shows the status tier (OK / WARN / FAIL / SKIP), not a measured percentage.

Gaps & recommendations

What is missing, and what to do next — in that order.

Prompts where no engine mentioned you

Every sampled prompt mentioned the brand.

High-value sources AI cited (you are not cited there)

  • en.wikipedia.org · 1

These third-party sources were cited in answers where your site was not among the citations. Get listed or quoted there.

What to do next

1
MentionsSame facts, everywhere
2
CitationsQuotable own pages
3
ReadabilityStart with p0 checks
  1. Keep brand mentions strong: 100% of sampled answers named the brand. Keep the same facts consistent across your site and profiles.
  2. Earn official-site citations: 0% of answers cited example.com. Put quotable facts (pricing, specs, comparisons) on crawlable pages and pitch the sources AI already cites (blog.cloudflare.com, debugbear.com, developers.google.com).
  3. Fix AI-agent readability: the plain-HTTP audit scored 57/100. Start with the failed p0 checks (robots.txt AI groups, llms.txt, server-rendered content).

Data sources & methodology

Every number above can be traced to one of these rows.

1 · Sample8 calls, 1 engines
2 · MatchBrand string + cited hosts
3 · Score50% + 30% + 20%
AI answers

ChatGPT / Gemini / Perplexity APIs (sampled answers)

Measured
Brand mention & citation

Deterministic string match + cited URL hosts

Measured
Positive sentiment

Keyword sentiment lexicon (heuristic)

Heuristic
Visibility score

Heuristic index: mention 50% + citation 30% + sentiment 20%

Heuristic
AI agent readiness

Plain HTTP audit (robots.txt, llms.txt, Markdown, .well-known)

Measured
Snapshot

30-day cached visibility snapshot (DataSourceCache)

Cached

Sampling plan: 8 calls, estimated 0.080 USD within a 0.15 USD per-report cap.

Measured = deterministic matching on the sampled AI answers (brand string, cited URL hosts). Heuristic = our own score or keyword sentiment lexicon, not a third-party ranking. Snapshot cached for 30 days; missing data is shown as No data, never as zero.

Next step

Free, no login. The page is generated once and reused for up to 30 days.

Get the free domain reportSee plans and pricing

Generated 2026-11-05 07:22 UTC. Public page, no login required. AI answers vary between runs; this page describes one snapshot, not a ranking.