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commitchange.com

commitchange.com

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: rss/atom feed.

51/100
3 since v1
D
Citation Avg
Coherence gate active - score capped at 55
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and robots.txt for AI Crawlers. Priority gaps: RSS/Atom Feed, Content Licensing & AI Permissions, and Speakable Schema. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.

#4507of 13363
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How to Improve

Current
51/100
Projected
80/100
34Total Fixes
7Quick Wins
~68hEst. Effort
Quick Wins
Add question-based headingsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertisePackage evidence for AI enginesClarify entity boundariesReduce extraction friction
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
low|low
Reduce render-blocking resources
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.

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.

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.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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

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.

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.

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

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

Fix It With AI37

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Site Pages

commitchange.com/blogF38
Blog | CommitChange
commitchange.com/case-studiesD42
Case Studies | CommitChange
commitchange.com/professional-eventsF38
Professional Events & Ticketing | CommitChange
commitchange.com/dashboard-reportsD43
Dashboard & Reports | CommitChange
commitchange.com/donation-processingF38
Donation Processing | CommitChange
commitchange.com/donor-managementD40
Donor Management | CommitChange
Changes since v1Last audited 52 days ago
54
51
-3
View full comparison →
Focus Content on Core TopicsIncrease Content DepthAdd Owned Data SignalsIncrease Fact & Data DensityRestructure Content as Q&ABuild Comprehensive FAQ SectionAdd Answer Capsule PatternsAdd Structured Tables & ListsPackage Evidence for AIAdd First-Hand Experience Signals

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