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inventio.ai

inventio.ai

Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.

48/100
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 48/100 - multiple areas need attention. Key strengths include Content Cannibalization, Topic Coherence, and Duplicate Content Blocks. Priority gaps: llms.txt File, RSS/Atom Feed, and Definition Patterns. HTTPS is not enabled, which caps several criteria scores and reduces AI crawler trust.

#6336of 13363
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How to Improve

Current
48/100
Projected
79/100
42Total Fixes
15Quick Wins
~91hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd content freshness signalsAdd direct answer paragraphsAdd ai.txt and content licensingIncrease fact and data densityFix canonical URL strategyExtend schema to inner pagesImprove query-answer alignmentAdd visible date signalsIncrease content depth and structureImprove citation-ready writing qualityReduce extraction frictionImprove 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
critical|low
Create complete sitemap.xml
critical|medium
Fix canonical URL strategy
critical|low
Improve server response efficiency
high|low
Reduce document weight
medium|low
Reduce render-blocking resources
low|low
Add internationalization signals
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.

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

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

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.

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

Include clear definition patterns ("X refers to...", "X is defined as...") for key terms and concepts. Definition-style content is highly citable by AI engines answering "what is" queries.

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