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berkleynpac.com

berkleynpac.com

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

Finance & PaymentsInsurance Services
48/100
18 since v2
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 48/100 - multiple areas need attention. Key strengths include Sitemap Completeness, Fact & Data Density, and Topic Coherence. Priority gaps: llms.txt File, Schema.org Structured Data, and Canonical URL Strategy.

#11000of 26585
#666of 1391 in Finance & Payments
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How to Improve

Current
48/100
Projected
80/100
41Total Fixes
12Quick Wins
~99hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsReduce extraction frictionReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Fix HTML structure and meta tags
medium|low
Fix canonical URL strategy
critical|low
Reduce render-blocking resources
high|low
Add internationalization signals
critical|medium
Improve server response efficiency
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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 "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

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

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.

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.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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.

Fix It With AI43

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Site Pages

www.berkleynpac.com/about-risk-services/bnp-covid-19-reso...F33
BNP COVID-19 RESOURCES - Berkley North Pacific
www.berkleynpac.com/about/what-our-customers-are-sayingF39
What Our Customers Are Saying - Berkley North Pacific
www.berkleynpac.com/about/grant-requestsF33
GRANT REQUESTS - Berkley North Pacific
Changes since v2Last audited 75 days ago
30
48
+18
View full comparison →
Increase Content DepthAdd Original Data & Case StudiesAdd Structured Tables & ListsAdd Owned Data SignalsPackage Evidence for AIAdd Answer Capsule PatternsImprove Internal Linking ArchitectureRestructure Content as Q&AImprove Question-Answer AlignmentBuild Comprehensive FAQ Section

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