Public sample report

What an AIFINDYOU report shows.

This sample explains the public report structure: score, crawl evidence, content and schema checks, trust signals, priority fixes and the deployable Fix Kit. It is a representative example, not a live customer report.

Last updated: July 12, 2026

Executive snapshot

An AiFindYou report answers one practical question: can AI/search systems discover, read, understand, trust and cite the public pages of a website?

71Example cite-readiness score
8Example pages scanned
19Technical and content checks
11Example fixes identified
The numbers on this page are illustrative. A live AiFindYou scan fetches the submitted public pages server-side and produces a new result for that specific website.

What gets checked

The report groups signals into a citation path. Each check includes status, evidence and the pages affected where available.

Crawler accessrobots.txtsitemapcanonical URLraw HTML readabilityJSON-LD schemaFAQPageanswer-style contenttrust signalsllms.txt

Example finding

A report might flag that a site has visible FAQ text but no matching FAQPage schema. The fix would be to add structured data only for FAQ answers that are visible on the page.

Priority fixes

AiFindYou ranks recommendations by likely impact, effort and affected pages. The goal is not to make a cosmetic checklist. The goal is to produce a small set of fixes that can actually be deployed.

1. Keep important facts visible in HTMLAI/search systems need readable text, not only client-side widgets or images.
2. Add machine-readable business factsOrganization, SoftwareApplication, LocalBusiness or other schema should match visible facts.
3. Write answer-style sectionsQuestion headings, concise paragraphs and visible FAQ answers make pages easier to extract and cite.
4. Separate public and private routesPublic product pages should be indexable. Admin pages and shared report URLs should stay noindex.

Fix Kit assets

The Fix Kit turns the diagnosis into implementation materials for an AI coding agent, CMS editor, developer or agency.

  • Page edit brief for visible answer blocks and business facts.
  • Metadata and social preview draft.
  • FAQ/content draft aligned with the report findings.
  • Schema JSON-LD draft using only confirmed facts.
  • llms.txt content map for the site root.
  • AI agent start message, implementation prompt and developer ticket.

Sample report FAQ

Is this a real customer report?

No. This public sample is a representative example of the AiFindYou report structure and does not expose customer data.

What does an AiFindYou report measure?

An AiFindYou report measures public cite-readiness signals such as crawler access, raw HTML readability, structured data, answer-style content, trust signals, canonical URLs, sitemap availability and llms.txt.

Does a high score guarantee AI recommendations?

No. Scores are diagnostic indicators based on public website signals. They are not guarantees of ranking, citation or recommendation by any AI platform.

Limitations

AiFindYou measures public website readiness signals. It does not control private ranking systems, model updates, personalization, geography, competitor coverage or whether a specific AI answer engine will cite a page for a specific query.

Use the score as a deployment guide: fix crawl access, strengthen structured data, make important facts visible, add answer-style content, and keep trust signals consistent.

For real sites, review generated schema, FAQ copy, llms.txt and implementation prompts before publishing. Do not invent business facts to improve a score.