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fetcher.ai

fetcher.ai

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
54/100
5 since v2
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
54/100
Projected
84/100
40Total Fixes
8Quick Wins
~69hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsImprove server response efficiencyReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Reduce document weight
high|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce render-blocking resources
medium|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

Fix It With AI42

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Site Pages

fetcher.ai/guides/ultimate-guide-recruiting-passive-talentD44
The Ultimate Guide to Passive Recruiting
fetcher.ai/guides/10-ways-diversify-talent-pipelineF38
Broadening Your Talent Pipeline: 10 Effective Strategies
fetcher.ai/product-tourF39
Product Tour — Talent Sourcing & Recruiting | Fetcher
fetcher.ai/customers/foursquare-levels-recruiting-playing...F37
Fetcher | Foursquare Customer Story
fetcher.ai/customers/sqli-digital-experience-improved-hir...D42
Fetcher | SQLI Digital Experience Customer Story
Changes since v2Last audited 75 days ago
59
54
-5
View full comparison →
Focus Content on Core TopicsAdd Answer Capsule PatternsImprove Question-Answer AlignmentAdd First-Hand Experience SignalsAdd Answer-First PlacementBuild Comprehensive FAQ SectionPackage Evidence for AIRestructure Content as Q&AAdd Content Freshness SignalsImprove Internal Linking Architecture

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