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strac.io
WINTER 2022

strac.io

Moderate AI visibility with 34 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
64/100
F
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Moderate AEO readiness at 64/100 with significant gaps to address. Key strengths include Q&A Content Format, Original Data & Expert Analysis, and Direct Answer Paragraphs. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

How to Improve

Current
64/100
Projected
85/100
36Total Fixes
6Quick Wins
~67hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingAdd visible date signalsMake content creators clearly visibleImprove citation-ready writing quality
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low

Top Opportunities10

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.

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.

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

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

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.

Establish a regular content publishing cadence with dated entries in your sitemap. Consistent publishing signals to AI engines that your site is an active, current information source.

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.

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Site Pages

www.strac.io/integrations/snowflake-data-discoveryF35
Snowflake Data Discovery (Data Loss Prevention)
www.strac.io/integrations/jira-dlpF38
Jira DLP (Data Loss Prevention) | Discover & Remediate Sensitive Data
www.strac.io/dspm-integrations/snowflake-dspm-data-discoveryD42
Snowflake DSPM: Data Discovery & Remediation Guide
www.strac.io/dspm-integrations/sharepoint-dspm-data-disco...F34
Sharepoint DSPM (Data Discovery): Full Guide to Scanning, Securing, and Remediating Sensitive Data
www.strac.io/lp/data-loss-prevention-softwareF33
Data loss prevention
www.strac.io/dlp-and-dspm-webinarF32
DLP and DSPM Webinar
www.strac.io/industry/fintechF32
Fintech DLP
www.strac.io/blogF37
Strac Blog | Data Loss Prevention, Data Discovery & DSPM Insights
www.strac.io/webinars/how-to-protect-zendeskF37
Strac Webinar: How to protect Zendesk?
www.strac.io/case-studiesF34
Strac Case Studies | Data Discovery, DLP & DSPM Success Stories
www.strac.io/team/aatishmF30
Aatish Mandelecha - Strac - Protect Sensitive Personal Data

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