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polopo.tech

polopo.tech

Weak AI visibility with 20 of 48 criteria passing. Biggest gap: llms.txt file.

37/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 37/100 - polopo.tech is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#10950of 13363
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How to Improve

Current
37/100
Projected
75/100
40Total Fixes
12Quick Wins
~102hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaCreate complete sitemap.xmlAdd ai.txt and content licensingIncrease fact and data densityAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsMake content creators clearly visibleExplain how content was tested or reviewed
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
high|low
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

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.

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

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

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.

Fix It With AI41

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Site Pages

www.polopo.techF27
PoLoPo: Growing protein-rich potatoes, at scale.

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