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rasa.com

rasa.com

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: rss/atom feed.

Developer Tools & InfrastructureAI & ML Platforms
59/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 59/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Fact & Data Density. Priority gaps: RSS/Atom Feed, Speakable Schema, and Owned Data Density.

How to Improve

Current
59/100
Projected
84/100
37Total Fixes
7Quick Wins
~66hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersAdd ai.txt and content licensingMake pages solve the user task fasterPackage evidence for AI enginesClarify entity boundariesReduce render-blocking resources
Fix HTML structure and meta tags
medium|low
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Reduce document weight
medium|low
Improve server response efficiency
medium|low
Add internationalization signals
medium|low

Top Opportunities10

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.

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.

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.

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

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

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

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.

Fix It With AI39

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Site Pages

rasa.com/developer-termsD43
Developer Terms | Rasa
rasa.com/hidden/finance-bankingD41
Finance & Banking
rasa.com/platformD42
Rasa Platform | Build Reliable AI Agents with Full Control
rasa.com/resourcesF39
Rasa Resources | Guides, Whitepapers & Tools for AI Builders
rasa.com/lp/developer-platform-ai-agentsF38
Rasa
rasa.com/customersF39
Rasa Customers | Case Studies & Success Stories from Global Brands
rasa.com/blogF36
Rasa Blog | Insights on Conversational AI, LLMs & Agent Architecture
rasa.com/events/building-voice-ai-agents-london-enterpris...F30
Building Voice AI Agents: London Enterprise Builders Meetup
Changes since v1Last audited 76 days ago
58
59
+1
View full comparison →
Add Direct Answer ParagraphsAdd Owned Data SignalsAdd Answer Capsule PatternsAdd Answer-First PlacementBuild Comprehensive FAQ SectionRestructure Content as Q&APackage Evidence for AIImprove Citation-Ready WritingAdd First-Hand Experience SignalsAdd Entity Disambiguation

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