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Affiliated Managers Group

amg.com · Finance · AMG

Ranked 1,333 of 2,047 companies in the study

29Overall score
  • Visibility5
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness29
What this means for Affiliated Managers Group

AI assistants rarely name Affiliated Managers Group, with its name appearing in 1 out of 60 answers. Its overall score is 29 out of 100, ranking 1,333rd of 2,047 companies. The company's website passes 4 of 14 technical checks, which measures how ready it is for AI tools.

We asked 15 unbranded questions about the finance market: none named Affiliated Managers Group. AI assistants named it in 1 of 60 answers (1.7%). The typical finance company is named in 3.3% of answers. By how often it is named, Affiliated Managers Group ranks 106 of 205 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
9.1%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
89 of 205
by overall score, where the typical finance company scores 29
How Affiliated Managers Group compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
5

How often AI assistants name the company

Citations
1

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with finance

205 companies in this sector. The line on each bar is the typical company.

Overall score29
Ranks 89 of 205. Typical company: 29
Named in answers2%
Ranks 106 of 205. Typical company: 3%
AI readiness29
Ranks 30 of 205. Typical company: 21
What Perplexity actually said

An answer that names the company

“Do independent firm partnerships in asset management justify potentially higher fees?”

Sometimes—but only when the partnership creates clear, client-relevant value that exceeds the fee premium. In asset management, independent firm partnerships are often justified by alignment of interests, operational autonomy, succession planning, and access to specialist talent or differentiated investment capabilities, but those benefits do not automatically make higher fees reasonable.

What the sources suggest:

Independent RIA/firms can keep more of the fees they charge and, as they scale, may reduce technology and custodial costs—so independence can improve firm economics …

The AI’s answer as we received it, shortened and not checked for accuracy.

Share of mentions

How the mentions in these answers were split between this company and its rivals

Focus Financial Partners
83.3%
Affiliated Managers Group
16.7%
Hamilton Lane
0.0%
iM Global Partner
0.0%
Northern Trust Asset Management (via Wealth & Asset Management Partnerships)
0.0%
Victory Capital
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
1/15
Gemini
0/15
Claude
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.amg.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

4 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

hubbis.com
19
businesswire.com
14
morganstanley.com
12
partners-cap.com
11
blackrock.com
8
umbrex.com
8
fidelity.com
7
investmentnews.com
7
fidante.com
6
mckinsey.com
6

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Multi-affiliate asset management platforms vs single-manager strategies: what are the key advantages?
  • How do partnership-based asset management models compare to traditional investment firms for generating alpha?
  • Best ways to access a diversified range of differentiated investment strategies in the US
  • What are common challenges when transitioning institutional portfolios to a platform partnering with independent investment managers?
  • How can institutional investors ensure strategy alignment when accessing multiple affiliate managers?
  • What factors affect management fees on partnership-based asset management platforms in the US?
  • Are there tiered pricing structures for accessing a range of independent investment strategies through a single platform?
  • Is investing through a partnership platform with independent managers worth it for high-net-worth investors?
  • Do independent firm partnerships in asset management justify potentially higher fees?
  • Who should consider using a multi-affiliate investment platform?
  • Alternatives to using an institutional asset management partnership platform for diversifying investments
  • What are the main options for accessing differentiated investment strategies outside of affiliate manager models?
  • What are the benefits of partnering with independent investment firms for institutional investors?
  • How can financial professionals leverage independent investment firm partnerships for their clients?
  • Most important due diligence factors when selecting a partnership model in institutional asset management
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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