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propertyquants.com

propertyquants.com

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

Developer Tools & InfrastructureAI & ML Platforms
51/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
2/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include Direct Answer Paragraphs, Content Cannibalization, and Topic Coherence. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

How to Improve

Current
51/100
Projected
80/100
41Total Fixes
8Quick Wins
~91hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signals
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Reduce render-blocking resources
critical|medium
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

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.

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

The same paragraphs appear on multiple pages. AI engines may only index one version and ignore the rest. Rewrite shared content so each page offers a unique perspective.

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.

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.

Fix It With AI43

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Site Pages

propertyquants.com/workshopsF35
PropertyQuants | Bringing Quantitative Investment Strategies to Global Real Estate
propertyquants.com/trainingD41
PropertyQuants | Bringing Quantitative Investment Strategies to Global Real Estate
propertyquants.com/seminarF39
PropertyQuants | Bringing Quantitative Investment Strategies to Global Real Estate

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