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qualsights.com

qualsights.com

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: llms.txt file.

53/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Content Freshness Signals, Sitemap Completeness, and Fact & Data Density. Priority gaps: llms.txt File, Comprehensive FAQ Section, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

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How to Improve

Current
53/100
Projected
81/100
38Total Fixes
8Quick Wins
~83hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaFocus blog content on core expertiseMake pages solve the user task fasterAdd internationalization signalsReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Add internationalization signals
high|low
Improve server response efficiency
medium|low

Top Opportunities10

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.

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

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

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.

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.

Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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Site Pages

www.qualsights.com/xmot-methodD44
The XMOT® Method: Break Recall Bias with Real Time Feedback.
www.qualsights.com/post/blogD41
QualSights Blog - Get the Latest Consume Research Insights
www.qualsights.com/global-consumer-empathyF35
Consumer Empathy Insights | Customer Empathy | QualSights
www.qualsights.com/mobile-qualitative-platformF37
Mobile Qualitative Research Platform | QualSights
www.qualsights.com/in-person-fieldwork-researchF30
In-Person Fieldwork Research | QualSights
www.qualsights.com/usesightsD41
UseSights - Transform Usage Into Growth | QualSights
www.qualsights.com/technologyF36
Cutting-Edge Research & Smart Sensor Technology | QualSights
www.qualsights.com/usage-intelligenceD42
Usage Intelligence Platform | QualSights

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