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join.build

join.build

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

54/100
4 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2974of 13363
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How to Improve

Current
54/100
Projected
83/100
35Total Fixes
10Quick Wins
~59hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersAdd definition-style contentAdd ai.txt and content licensingAdd visible date signalsImprove citation-ready writing qualityPackage evidence for AI enginesClarify entity boundariesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce document weight
low|low

Top Opportunities10

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

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.

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

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.

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

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

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

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

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

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.

Fix It With AI38

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Site Pages

join.build/who-we-serveF31
Who We Serve | Join
join.build/who-we-serve/other-key-playersF28
Other Key Players - Join
Changes since v1Last audited 52 days ago
50
54
+4
View full comparison →
Increase Content DepthFocus Content on Core TopicsImprove Question-Answer AlignmentAdd Answer Capsule PatternsPackage Evidence for AIAdd Entity DisambiguationRestructure Content as Q&AAdd First-Hand Experience SignalsAdd Owned Data SignalsAdd Answer-First Placement

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