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quantsavvy.com

quantsavvy.com

Moderate AI visibility with 34 of 53 criteria passing. Biggest gap: llms.txt file.

61/100
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Moderate AEO readiness at 61/100 with significant gaps to address. Key strengths include Entity Authority & NAP Consistency, Content Freshness Signals, and Sitemap Completeness. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

#967of 18019
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How to Improve

Current
61/100
Projected
84/100
39Total Fixes
14Quick Wins
~72hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd direct answer paragraphsAdd ai.txt and content licensingImprove query-answer alignmentAdd answer-first content placementClarify entity boundariesFix duplicate content blocksImprove server response efficiencyReduce render-blocking resourcesReduce document weightAdd an AI-assistance disclosure
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
high|trivial
Add internationalization signals
critical|medium
Reduce render-blocking resources
high|low
Reduce document weight
high|low
Improve server response efficiency
high|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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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.

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%.

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.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

Establish a regular content publishing cadence with dated entries in your sitemap. Consistent publishing signals to AI engines that your site is an active, current information source.

Fix It With AI43

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Site Pages

quantsavvy.com/tastyworks-reviewD50
TastyWorks Review - Quant Savvy
quantsavvy.com/do-we-need-stops-with-algo-systemsD48
Do We Need Stops with Algo Systems? - Quant Savvy
quantsavvy.com/how-to-place-stop-loss-profit-targetD47
How to Place Stop Loss Profit Target - Quant Savvy
quantsavvy.com/here-is-why-2017-was-a-problematic-year-fo...D49
Here is why 2017 Was a Problematic Year for Quant Trading Systems - Quant Savvy
quantsavvy.com/algorithmic-trading-resultsD45
Algorithmic trading results | Day trading strategies | Quant Trading
quantsavvy.com/how-to-maximize-returns-while-trading-the-...D48
How to Maximize Returns while Trading the Market Volatility - Quant Savvy
quantsavvy.com/how-to-use-the-interest-rate-parity-to-tra...D52
How to use the Interest Rate Parity to Trade Forex - Quant Savvy
quantsavvy.com/quant-trading-blogD49
Quant Trading Blog - Quant Savvy
quantsavvy.com/best-trading-appD52
Best Trading App - Quant Savvy

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