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mastra.ai
WINTER 2025

mastra.ai

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: rss/atom feed.

Developer Tools & InfrastructureDeveloper Platforms
59/100
3 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
8/10

Verdict

Below-average AEO readiness at 59/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Sitemap Completeness. Priority gaps: RSS/Atom Feed, Canonical URL Strategy, and Speakable Schema.

How to Improve

Current
59/100
Projected
85/100
37Total Fixes
9Quick Wins
~58hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsAdd first-hand experience signalsMake content creators clearly visibleClarify entity boundaries
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|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.

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.

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.

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.

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.

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

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.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Fix It With AI38

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Site Pages

mastra.ai/podcasts/does-mcp-suck-tsai-conf-recap-ismail-f...D51
Does MCP Suck? TSAI Conf Recap, Ismail from Superagent | AI Agents Hour
mastra.ai/podcasts/ai-agents-hour-with-yujohn-daniel-and-...D45
AI Agents Hour with Yujohn, Daniel, and Tyler | AI Agents Hour
mastra.ai/books/principles-of-building-ai-agentsD47
Principles of Building AI Agents — Free Book by Mastra
mastra.ai/blogD46
Mastra Blog: AI Agents, Workflows, and TypeScript Engineering
mastra.ai/customersF36
Customers - Mastra
Changes since v1Last audited 76 days ago
62
59
-3
View full comparison →
Improve Question-Answer AlignmentAdd Original Data & Case StudiesAdd Direct Answer ParagraphsRestructure Content as Q&AAdd Answer-First PlacementAdd Entity DisambiguationAdd Answer Capsule PatternsPackage Evidence for AIAdd Owned Data SignalsStrengthen Entity Authority (NAP)

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