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finout.io
SUMMER 2021

finout.io

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
62/100
6 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
7/10

Verdict

Moderate AEO readiness at 62/100 with significant gaps to address. Key strengths include Table & List Extractability, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

How to Improve

Current
62/100
Projected
85/100
38Total Fixes
8Quick Wins
~61hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd content freshness signalsAdd ai.txt and content licensingFocus blog content on core expertisePackage evidence for AI enginesReduce extraction frictionReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Reduce document weight
high|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Create complete sitemap.xml
low|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

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.

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

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

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.

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.

Rewrite pages to solve the visitor task quickly and concretely. Reduce generic intros, search-first filler, and CTA interruptions before the first useful answer.

Fix It With AI39

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Site Pages

www.finout.io/case-study/wizD41
Case Study: How Wiz Leveraged Finout to Save Big
www.finout.io/case-study/tenableD44
Tenable Case Study
www.finout.io/cloud-unit-economicsF38
Unlock Cloud Cost Efficiency with Finout’s Unit Economics Widget
www.finout.io/anthropic-integrationF34
Anthropic Integration | Track & Optimize AI Costs in Finout
www.finout.io/eventsF39
Finout Events | FinOps Insights and Best Practices
www.finout.io/kubernetes-ebookF38
Kubernetes eBook
www.finout.io/lp/cloud-cost-allocation-registerF36
Cloud Cost Allocation
www.finout.io/datadog-ebookF31
Datadog eBook
Changes since v1Last audited 75 days ago
56
62
+6
View full comparison →
Focus Content on Core TopicsAdd Owned Data SignalsBuild Comprehensive FAQ SectionAdd Answer Capsule PatternsStrengthen Entity Authority (NAP)Package Evidence for AIAdd Answer-First PlacementRestructure Content as Q&AAdd First-Hand Experience SignalsImprove Helpful Purpose Alignment

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