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wave-ai.net

wave-ai.net

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

43/100
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
5/10

Verdict

Critical AEO gaps at 43/100 - wave-ai.net is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Topic Coherence, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format.

#9363of 13363
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How to Improve

Current
43/100
Projected
77/100
43Total Fixes
15Quick Wins
~103hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaImprove query-answer alignmentAdd visible date signalsMake pages solve the user task fasterMake content creators clearly visibleAdd answer-first content placement
Fix HTML structure and meta tags
high|low
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Create complete sitemap.xml
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

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.

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.

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.

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.

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

wave-ai.net/careers-2F35
Careers – WaveAI
wave-ai.net/founders-mayaF31
Team – Maya – WaveAI
wave-ai.net/educationF35
Education – WaveAI
wave-ai.net/founders-davidF30
Team – David – WaveAI
wave-ai.netF34
WaveAI – Musical AI for musicians
wave-ai.net/founders-chrisF36
Team – Chris – WaveAI
wave-ai.net/teamF26
Team – WaveAI
wave-ai.net/contactF32
Contact – WaveAI
wave-ai.net/feedF27
WaveAI
wave-ai.net/comments/feedF32
Comments for WaveAI

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