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checkr.com
SUMMER 2014

checkr.com

Weak AI visibility with 16 of 48 criteria passing. Biggest gap: llms.txt file.

40/100
F
Citation Avg
Coherence gate active - score capped at 55
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 40/100 - checkr.com is largely invisible to AI engines. Key strengths include Sitemap Completeness, Table & List Extractability, and Fact & Data Density. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format. 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
40/100
Projected
76/100
41Total Fixes
12Quick Wins
~104hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd direct answer paragraphsAdd 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 qualityImprove server response efficiency
Fix HTML structure and meta tags
critical|medium
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
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
Reduce document weight
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.

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%.

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

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.

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

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.

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

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.

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.

Fix It With AI43

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Site Pages

docs.checkr.comF35
Checkr API documentation
checkr.com/franchiseF36
checkr.com/blog/checkr-services-and-support-for-enterpriseF36
checkr.com/background-check/identity-verificationF36
checkr.com/resourcesF36

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