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assemblrworld.com

assemblrworld.com

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

Developer Tools & InfrastructureDeveloper Platforms
49/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Duplicate Content Blocks, Cross-Page Duplicate Content, and Internationalization Signals. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

How to Improve

Current
49/100
Projected
81/100
41Total Fixes
14Quick Wins
~87hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsImprove citation-ready writing qualityReduce extraction frictionReduce render-blocking resources
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
Reduce render-blocking resources
high|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
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.

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

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.

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

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.

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

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

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

assemblrworld.com/es/pages/assemblr-metaverse-terms-and-c...F34
Assemblr Metaverse Terms and Conditions
assemblrworld.com/use-casesD41
Augmented Reality Use Cases | Assemblr
assemblrworld.com/blogF31
Assemblr Blog | Latest News & Insights on Assemblr

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