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getunbound.ai
SUMMER 2024

getunbound.ai

Strong AI visibility with 36 of 48 criteria passing. Biggest gap: rss/atom feed.

Developer Tools & InfrastructureSecurity & Compliance
70/100
3 since v1
D
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
10/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
8/10

Verdict

Moderate AEO readiness at 70/100 with significant gaps to address. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: RSS/Atom Feed, Speakable Schema, and Owned Data Density.

How to Improve

Current
70/100
Projected
88/100
25Total Fixes
3Quick Wins
~41hEst. Effort
Quick Wins
Add ai.txt and content licensingMake content creators clearly visibleReduce extraction friction
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low

Top Opportunities10

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.

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.

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

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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

Explain how pages were tested, researched, reviewed, or updated. Add methodology, criteria, sample-size, or review-process details where users expect them.

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.

Create an /ai.txt file specifying AI usage permissions and add license schema to your structured data. Clear licensing signals help AI engines understand how they can use your content.

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Site Pages

getunbound.ai/aasb-glossaryD53
AI Coding Agent Security Glossary | Unbound
getunbound.ai/productD52
How AASB Secures AI Coding Agents | Unbound
getunbound.ai/solutions/securityD47
AI Agent Security for CISOs | Unbound
getunbound.ai/vulnerability-disclosureD42
Vulnerability Disclosure | Unbound
getunbound.ai/news/rsac-2026-aasb-announcementD44
Unbound Announces AASB at RSAC 2026 | Unbound
getunbound.ai/blogD45
AI Agent Security Blog | Unbound
getunbound.ai/risk-assessmentD47
Free AI Coding Agent Risk Assessment | Unbound
getunbound.ai/solutions/engineeringD45
AI Agent Governance for Engineering Leaders | Unbound
getunbound.ai/newsD42
News & Press | Unbound AI Agent Security
Changes since v1Last audited 76 days ago
67
70
+3
View full comparison →
Add Owned Data SignalsAdd Answer-First PlacementAdd Answer Capsule PatternsAdd First-Hand Experience SignalsStrengthen Entity Authority (NAP)Improve Internal Linking ArchitectureReduce Extraction FrictionAdd Methodology TransparencyAdd Entity DisambiguationAdd Content Licensing & ai.txt

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