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sendbird.com
CLASS OF 2014

sendbird.com

Moderate AI visibility with 33 of 48 criteria passing. Biggest gap: rss/atom feed.

Developer Tools & InfrastructureAI & ML Platforms
54/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Internal Linking Structure. Priority gaps: RSS/Atom Feed, Speakable Schema, and Query-Answer Alignment. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
54/100
Projected
80/100
36Total Fixes
6Quick Wins
~67hEst. Effort
Quick Wins
Add content freshness signalsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsFocus blog content on core expertisePackage evidence for AI engines
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
medium|trivial
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
low|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.

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.

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.

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

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

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

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.

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

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.

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