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interprime.co
WINTER 2019

interprime.co

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

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

Verdict

Below-average AEO readiness at 52/100 - multiple areas need attention. Key strengths include Content Cannibalization, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and Sitemap Completeness.

#4091of 13363
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How to Improve

Current
52/100
Projected
81/100
40Total Fixes
10Quick Wins
~77hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersAdd structured tables and listsAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signals
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Improve server response efficiency
low|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.

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.

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

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.

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.

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

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Site Pages

www.interprime.co/blogD40
Blog - InterPrime | Automated Treasury Management
www.interprime.co/sipsF38
SIPS - InterPrime | Automated Treasury Management

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