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rathbonegroup.com

rathbonegroup.com

Moderate AI visibility with 36 of 48 criteria passing. Biggest gap: llms.txt file.

Legal & Professional ServicesLaw Practice
65/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Moderate AEO readiness at 65/100 with significant gaps to address. Key strengths include Internal Linking Structure, Content Freshness Signals, and Sitemap Completeness. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.

How to Improve

Current
65/100
Projected
84/100
37Total Fixes
8Quick Wins
~62hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersAdd structured tables and listsAdd ai.txt and content licensingPackage evidence for AI enginesReduce extraction frictionReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

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

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.

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

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

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

Add a /llms.txt file that describes your site, core services, and key pages in markdown format. This helps AI engines like ChatGPT and Claude understand your site structure and content offerings.

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Site Pages

www.rathbonegroup.com/blogF30
Rathbone Group Subrogation Blog: News, Process, Law & More
www.rathbonegroup.com/corporate-veils-arent-oz-proof-hold...D45
Corporate & LLC Liability in Subrogation: Beyond the Veil
www.rathbonegroup.com/hurry-up-wait-texas-standby-trial-d...F38
Expedited vs Standby Dockets: A Texas Subrogation Case Study
www.rathbonegroup.com/e-notaryF38
Rathbone Group’s E-Notary is Available Online Nationwide
www.rathbonegroup.com/claims-involving-utilitiesF33
Effective Subrogation Case Management for Utility Claims
www.rathbonegroup.com/practice-areasF36
Diverse Experience in Insurance Subrogation: Practice Areas
www.rathbonegroup.com/coverage-mapF29
RG Coverage Map: Subrogation Services Available Nationwide
www.rathbonegroup.com/subrogation-law-statesF34
Rathbone Group: Nationwide Subrogation Law Firm & Advocate
www.rathbonegroup.com/award-rating-methodologyF37
Award Rating Methodology
www.rathbonegroup.com/who-we-representF37
Advocates for Insurers’ Right of Subrogation: Who We Represent
www.rathbonegroup.com/our-peopleF32
Rathbone Group’s Subrogation Attorneys & Specialists
Changes since v1Last audited 70 days ago
64
65
+1
View full comparison →
Add Owned Data SignalsAdd Structured Tables & ListsAdd Answer Capsule PatternsStrengthen Entity Authority (NAP)Add First-Hand Experience SignalsAdd Entity DisambiguationPackage Evidence for AIImprove Question-Answer AlignmentReduce Extraction FrictionCreate llms.txt File

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