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thndr.app
SUMMER 2020

thndr.app

Weak AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

45/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 45/100 - thndr.app is largely invisible to AI engines. Key strengths include Fact & Data Density, Internationalization Signals, and Schema.org Structured Data. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Content Licensing & AI Permissions. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

#8375of 13363
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How to Improve

Current
45/100
Projected
80/100
43Total Fixes
13Quick Wins
~86hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsAdd answer-first content placementReduce extraction frictionImprove server response efficiencyReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Reduce render-blocking resources
critical|medium
Reduce document weight
high|low
Improve server response efficiency
high|low
Create complete sitemap.xml
low|low
Fix canonical URL strategy
low|trivial

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.

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.

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.

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 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.

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.

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

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%.

Fix It With AI46

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Site Pages

Changes since v1Last audited 52 days ago
46
45
-1
View full comparison →
Focus Content on Core TopicsAdd Original Data & Case StudiesIncrease Content DepthRestructure Content as Q&ABuild Comprehensive FAQ SectionAdd Direct Answer ParagraphsAdd Owned Data SignalsAdd Answer Capsule PatternsImprove Question-Answer AlignmentIncrease Entity Density

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