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posthog.com
WINTER 2020

posthog.com

Weak AI visibility with 18 of 48 criteria passing. Biggest gap: schema.org structured data.

32/100
F
Citation Avg
Coherence gate active - score capped at 55
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
2/10
Trust & Authority
~15% weight
1/10
Technical Foundation
~10% weight
2/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 32/100 - posthog.com is largely invisible to AI engines. Key strengths include llms.txt File, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: Schema.org Structured Data, Q&A Content Format, and Internal Linking Structure. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.

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How to Improve

Current
32/100
Projected
73/100
42Total Fixes
11Quick Wins
~110hEst. Effort
Quick Wins
Configure robots.txt for AI crawlersAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterExplain how content was tested or reviewedImprove citation-ready writing qualityAdd image context for AI enginesImprove server response efficiency
Fix HTML structure and meta tags
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Create complete sitemap.xml
low|low
Reduce document weight
low|low
Reduce render-blocking resources
low|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

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.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

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

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

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.

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

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.

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Site Pages

posthog.com/docsF32
posthog.com/tutorials/automationF32
posthog.com/community-incubatorF32
posthog.com/handbook/product/user-feedbackF32
posthog.com/tutorials/ruby-on-rails-analyticsF32
posthog.com/product-engineers/github-gitlab-feature-flagsF32

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