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infraspeak.com

infraspeak.com

Weak AI visibility with 11 of 48 criteria passing. Biggest gap: llms.txt file.

32/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
2/10
Trust & Authority
~15% weight
1/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 32/100 - infraspeak.com is largely invisible to AI engines. Key strengths include Duplicate Content Blocks, Cross-Page Duplicate Content, and Sitemap Completeness. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format.

#11639of 13363
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How to Improve

Current
32/100
Projected
73/100
44Total Fixes
10Quick Wins
~122hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsReduce extraction frictionAdd image context for AI enginesImprove server response efficiencyReduce document weight
Fix HTML structure and meta tags
critical|medium
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
high|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
Create complete sitemap.xml
low|low
Reduce render-blocking resources
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.

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.

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 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.

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

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.

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Site Pages

infraspeak.com/en/pricingF32
How much does efficiency cost? • Infraspeak Pricing
infraspeak.com/enF32
Collaborative Facilities Management Platform · Infraspeak
Changes since v1Last audited 52 days ago
31
32
+1
View full comparison →
Increase Content DepthAdd Original Data & Case StudiesAdd Structured Tables & ListsIncrease Entity DensityRestructure Content as Q&AAdd Direct Answer ParagraphsImprove Citation-Ready WritingStrengthen Entity Authority (NAP)Package Evidence for AIAdd Answer-First Placement

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