Live audit

Example Domain

Executive readout

Example Domain scores 22/100 for GEO readiness, which places the site in the CRITICAL tier. The audit analyzed 1 representative pages and found the biggest opportunities in crawler access, structured data, and quote-friendly content. The fastest path to improvement is to remove access blockers, publish stronger machine-readable entity signals, and turn key commercial pages into clear answer destinations.

https://example.com General Business 2026-08-18 1 sampled pages AI kit 0/15

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Dimension scores

Six signals that roll up into your GEO score.

0

AI citability

How quotable and structured the sampled pages are for answer engines.

35

Brand authority

Signals that help models recognize and trust your entity.

30

Content E-E-A-T

Experience, expertise, authority, and trust cues in key copy.

38

Technical GEO

Crawl access, rendering hints, headers, and machine-readable delivery.

15

Schema

Structured data coverage and GEO-relevant types on reviewed URLs.

22

Platform readiness

Readiness across major AI answer and assistant surfaces.

Score breakdown

How each pillar contributes.

AI Citability

0

How easy it is for AI systems to quote your pages.

Brand Authority

35

How strongly your brand exists as a recognizable entity.

Content E-E-A-T

30

Evidence of expertise, trust, and depth across key pages.

Technical GEO

38

Crawlability, rendering quality, and basic technical readiness.

Schema

15

Machine-readable markup coverage across the sampled pages.

Platform Readiness

22

How the site is positioned for major AI answer surfaces.

Platform readiness

Strength by answer surface.

ChatGPT23
Perplexity21
Google AI Overviews22
Gemini22
Bing Copilot24
Action plan

Prioritized work, from quick wins to strategic bets.

Quick wins

  • Add Organization or LocalBusiness schema to the homepage, then layer in page-level schema such as FAQPage, Article, Product, or SoftwareApplication.

    Improves entity understanding across ChatGPT, Google AI Overviews, Gemini, and Bing Copilot.

  • Rewrite priority pages using clear answer blocks, factual statements, and self-contained paragraphs in the 100-200 word range.

    Raises the odds that AI tools will quote your pages directly instead of paraphrasing competitors.

  • Publish /llms.txt with your key URLs, short descriptions, and the most important sections of the site.

    Creates a direct guidance layer for AI crawlers and improves audit completeness.

Medium-term

  • Deploy the complete AI readiness file set to the web root. See https://ai.silverbackmarketing.com/ for a reference deployment.

    A complete kit adds a +20 point bonus to the GEO score and gives every major AI platform a direct reading path into the site.

  • Strengthen About, Team, Contact, and proof sections with credentials, client evidence, years in business, and external references.

    Builds trust signals that both users and AI systems rely on when choosing what to cite.

  • Expose a clean XML sitemap and declare it inside robots.txt.

    Improves crawl efficiency and increases the chance of important pages being surfaced quickly.

  • Prioritize LinkedIn, YouTube, review platforms, and a clean sameAs graph; pursue Wikidata or Wikipedia when the brand is notable enough.

    Makes the brand easier for AI systems to recognize, disambiguate, and trust.

Strategic bets

  • Deploy the complete AI readiness file set to the web root. See https://ai.silverbackmarketing.com/ for a reference deployment.

    A complete kit adds a +20 point bonus to the GEO score and gives every major AI platform a direct reading path into the site.

  • Strengthen About, Team, Contact, and proof sections with credentials, client evidence, years in business, and external references.

    Builds trust signals that both users and AI systems rely on when choosing what to cite.

  • Expose a clean XML sitemap and declare it inside robots.txt.

    Improves crawl efficiency and increases the chance of important pages being surfaced quickly.

  • Prioritize LinkedIn, YouTube, review platforms, and a clean sameAs graph; pursue Wikidata or Wikipedia when the brand is notable enough.

    Makes the brand easier for AI systems to recognize, disambiguate, and trust.

Findings

Open a row to read detail and recommended fixes.

Critical

1
No structured data was detectedCritical

The sampled pages do not expose any JSON-LD or equivalent schema types, leaving AI systems without a reliable machine-readable identity for the brand or content.

Recommended fix · Add Organization or LocalBusiness schema to the homepage, then layer in page-level schema such as FAQPage, Article, Product, or SoftwareApplication.

High

2
Content is not yet quote-friendly for AI systemsHigh

The sampled pages skew toward low citability, which usually means the copy is too vague, too thin, or too contextual for an answer engine to safely extract.

Recommended fix · Rewrite priority pages using clear answer blocks, factual statements, and self-contained paragraphs in the 100-200 word range.
Affected pages · https://example.com
llms.txt is missingHigh

The site does not currently publish an llms.txt file. While this is still emerging, it is one of the clearest ways to guide AI systems toward your most important pages.

Recommended fix · Publish /llms.txt with your key URLs, short descriptions, and the most important sections of the site.

Medium

4
AI readiness kit is not deployedMedium

Only 0 of 15 AI readiness files were found at the web root. A complete kit (llms.txt, ai.txt, ai-entities.json, rag-index.json, and companions) gives AI systems a full machine-readable map of the site.

Recommended fix · Deploy the complete AI readiness file set to the web root. See https://ai.silverbackmarketing.com/ for a reference deployment.
Authority and trust signals are weakMedium

The site does not yet show a strong enough mix of authoritativeness, company context, and proof elements across the pages sampled.

Recommended fix · Strengthen About, Team, Contact, and proof sections with credentials, client evidence, years in business, and external references.
No sitemap reference was found in robots.txtMedium

The audit could not confirm a sitemap entry inside robots.txt, which makes large-scale discovery less predictable for bots.

Recommended fix · Expose a clean XML sitemap and declare it inside robots.txt.
Off-site entity presence is thinMedium

The brand appears to have limited discoverable entity reinforcement outside the website itself, especially on sources AI systems commonly cross-check.

Recommended fix · Prioritize LinkedIn, YouTube, review platforms, and a clean sameAs graph; pursue Wikidata or Wikipedia when the brand is notable enough.

Low

0

No low findings for this audit.

Crawlers & coverage

Access signals and what is already working.

AI crawler access

  • GPTBotChatGPTALLOWED (200)

    Keep access open

  • ClaudeBotClaudeALLOWED (200)

    Keep access open

  • PerplexityBotPerplexityALLOWED (200)

    Keep access open

  • GoogleBotGoogle AI OverviewsALLOWED (200)

    Keep access open

  • BingBotBing CopilotALLOWED (200)

    Keep access open

Strengths

  • Most major AI crawlers can currently access the site, which removes one of the most common GEO blockers.

AI readiness kit

0 of 15 readiness files are live.

Deployed (0)

No AI readiness files were found at the web root.

Missing (15)

/ai.txt /llms.txt /llms-full.txt /ai-sitemap.xml /sitemap.md /ai-entities.json /ai-intent.json /ai-schema.json /rag-index.json /rag-index.jsonl /ai-disclosure.txt /training-data-policy.txt /.well-known/ai-plugin.json /manifest.json /robots.txt
Sampled pages

Per-URL signals from the crawl set.

Example Domain

0 citability

https://example.com

17 words 0 schema types 0/0 missing alt