AI Visibility Scorecard
Marsh
mmc.com · Professional Services
Borderline visible. AI bots can crawl Marsh, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 10 times
Claude · ChatGPT · Meta AI · Apple Intelligence
#8,275 of 527,417 in Professional Services for AI visibility
16
AI Naming Predictability
iNamed occasionally · 16/100
More likely to be named than 99% of Professional Services companies
4
AEO Visibility
iNear-invisible · 3.8/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
About Marsh
from our crawl and measurement
"Marsh helps organizations navigate risk, develop talent, and build strategies to thrive. Expertise in risk, reinsurance, capital, people, and consulting." That is how Marsh of New York, NY introduces itself. When AI engines look at it, they find little to work with. It scores 3.8 out of 10.
Our crawl found structured data on the page (WebSite, Organization), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 6 times in our tracking, including ClaudeBot (Anthropic), GPTBot (ChatGPT) and Meta AI.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 3.8/10, Marsh is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What does Marsh do?
Marsh helps organizations navigate risk, develop their people, build their strategies to help them thrive. With more than 95,000 colleagues in over 130 countries, we deliver expertise across risk, reinsurance and capital, people and investments, and management consulting.
What industries does Marsh serve?
We serve clients across a wide range of industries, including financial services, healthcare, energy, manufacturing, construction, technology, retail, transportation, and the public sector.
How is Marsh different from other professional services firms?
We bring together distinct capabilities across risk, strategy, and people. This means we can connect data, insights, and solutions from across our firm to address our clients’ most complex challenges and opportunities.
Is this your brand?
The exact fixes for Marsh
Which AI engines already crawl you
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Marsh.
Source & Attribution
Scored by Engagemii on August 5, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mmc
Cite this score: Engagemii (2026). "AEO Score for Marsh." Retrieved from https://engagemii.com/aeo/brands/mmc
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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