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resource.io

resource.io

Moderate AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

52/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 52/100 - multiple areas need attention. Key strengths include Canonical URL Strategy, Content Cannibalization, and Topic Coherence. Priority gaps: llms.txt File, Schema.org Structured Data, and Content Freshness Signals.

#4265of 13363
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How to Improve

Current
52/100
Projected
81/100
41Total Fixes
14Quick Wins
~89hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingAdd visible date signalsMake pages solve the user task fasterAdd first-hand experience signalsImprove citation-ready writing qualityAdd answer-first content placementPackage evidence for AI enginesReduce extraction frictionReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Reduce document weight
high|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
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.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

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.

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

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.

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.

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Fix It With AI41

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Site Pages

www.resource.io/termsF38
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/privacyF37
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/humansF39
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/page-data/index/page-data.jsonF25
www.resource.io/platformD43
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/pricingF34
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/securityD40
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.ioD41
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/customersF35
Resource - Sourcing & CRM for Modern Recruiting Teams
www.resource.io/contactF38
Resource - Sourcing & CRM for Modern Recruiting Teams

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