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iris.ai

iris.ai

Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: llms.txt file.

56/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 56/100 - multiple areas need attention. Key strengths include Fact & Data Density, Canonical URL Strategy, and Duplicate Content Blocks. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

#1921of 13363
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How to Improve

Current
56/100
Projected
82/100
42Total Fixes
10Quick Wins
~86hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd content freshness signalsAdd direct answer paragraphsAdd ai.txt and content licensingPackage evidence for AI enginesClarify entity boundariesImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce render-blocking resources
medium|low
Create complete sitemap.xml
low|low

Top Opportunities10

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

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.

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.

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.

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.

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

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.

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

Fix It With AI44

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Site Pages

iris.ai/case-studiesF33
Case Studies – Iris.ai
iris.ai/products/axionF32
Axion™ | AI Knowledge Platform for Enterprise | RAG, LLM Evaluation & Compliance
iris.ai/docsF35
Iris.ai | AI knowledge foundation for regulated enterprises
Changes since v1Last audited 52 days ago
57
56
-1
View full comparison →
Improve Question-Answer AlignmentFocus Content on Core TopicsAdd Direct Answer ParagraphsRestructure Content as Q&AIncrease Entity DensityAdd Answer Capsule PatternsAdd Structured Tables & ListsAdd First-Hand Experience SignalsBuild Comprehensive FAQ SectionPackage Evidence for AI

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