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regroup.com

regroup.com

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: speakable schema.

Developer Tools & InfrastructureDeveloper Platforms
57/100
1 since v1
D
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
8/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include llms.txt File, Original Data & Expert Analysis, and Internal Linking Structure. Priority gaps: Speakable Schema, Query-Answer Alignment, and Owned Data Density.

How to Improve

Current
57/100
Projected
83/100
35Total Fixes
5Quick Wins
~69hEst. Effort
Quick Wins
Configure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd direct answer paragraphsAdd ai.txt and content licensingImprove citation-ready writing quality
Create complete sitemap.xml
critical|medium
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Reduce document weight
medium|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.

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.

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.

The same paragraphs appear on multiple pages. AI engines may only index one version and ignore the rest. Rewrite shared content so each page offers a unique perspective.

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

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

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

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.

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Site Pages

www.regroup.com/industriesD40
Industries - Regroup Mass Notification
www.regroup.com/data-security-retention-and-communication...F39
Data Security, Retention and Communication Policy - Regroup Mass Notification
www.regroup.com/live-demoF35
Live Demo - Regroup Mass Notification
www.regroup.com/security-complianceF39
Security Compliance and Protocols | Regroup Mass Notification System
www.regroup.com/virtual-tourD49
Virtual Tour | Regroup Mass Notification
www.regroup.com/productsD41
Products - Regroup Mass Notification
www.regroup.com/blogF36
Blog - Regroup Mass Notification
www.regroup.com/resourcesF36
Resources - Regroup Mass Notification
Changes since v1Last audited 52 days ago
58
57
-1
View full comparison →
Improve Question-Answer AlignmentAdd Direct Answer ParagraphsAdd Owned Data SignalsAdd Structured Tables & ListsEliminate Cross-Page Duplicate ContentPackage Evidence for AIAdd Answer Capsule PatternsRestructure Content as Q&AAdd First-Hand Experience SignalsAdd Answer-First Placement

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