Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
828 of 2,219
its rank by overall score
Place in its category
22nd of 74 private equity firms
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Blue Owl

AI assistants rarely name this private equity firm, mentioning it in 2 of 60 answers. Blackstone is also named in those answers. Its overall score is 31 out of 100, ranking 828th of 2,219 companies, and 88th in its sector. Its website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Blue Owl by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 82nd of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

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 peers.

Overall score
31Overall score
  • Visibility12
  • Citations2
  • Sentiment50
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
66.7%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
88 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

Blue Owl came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Private credit vs. real assets: which alternative investment type is better in a rising interest rate environment?0/4
  2. 02How do fee structures generally work in private capital solutions for high-net-worth investors?0/4
  3. 03What are typical scenarios where private credit solutions are most effective?0/4
  4. 04How do alternative investment funds support middle-market business growth?0/4
  5. 05Which private capital solutions are well-suited for high-net-worth individuals seeking portfolio diversification?0/4
  6. 06Are private market investments worth considering for long-term growth?0/4
  7. 07What are the best alternative investment strategies for institutional investors?0/4
  8. 08How can institutional investors manage the risks associated with alternative investments?0/4
  9. 09What are some alternatives to direct lending in the private markets space?0/4
  10. 10Which types of funds offer similar risk-return profiles to real assets investments?0/4
  11. 11What should investors do if their private capital investments become illiquid unexpectedly?0/4
  12. 12What is the average minimum investment required for institutional alternative investment funds?0/4
  13. 13What are common alternative strategies for investors seeking exposure beyond public equities and bonds?0/4
  14. 14How does direct lending compare to traditional private equity investments in terms of risk and return?0/4
  15. 15Is investing in GP strategic capital a good option for portfolio diversification?2/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 0/15Gemini: 0/15All assistants: 2/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What OpenAI actually said

An answer that names the company

OpenAInamed the company

“Is investing in GP strategic capital a good option for portfolio diversification?”

… The term is commonly used for GP‑stakes strategies (formerly Dyal; now a platform within Blue Owl and similar managers) that buy minority equity stakes in private‑markets general partners (GPs) and/or provide debt financing to GPs. These investments capture a share of management fees, carried interest and GP economics rather than owning portfolio company assets directly. (blueowl.com)

Why investors consider them for diversification

Different return source: returns come from fee streams and carried interest of …

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

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    Blackstone
    1

Share of mentions

CompanyShare
  1. Blue Owl
    66.7%
  2. Blackstone
    33.3%
  3. Apollo Global Management
    0.0%
  4. Ares Management
    0.0%
  5. Kohlberg Kravis Roberts (KKR)
    0.0%
  6. Carlyle Group
    0.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    morganstanley.com
    16
  2. 02
    blackrock.com
    13
  3. 03
    am.jpmorgan.com
    9
  4. 04
    ubs.com
    7
  5. 05
    wealth.blueowl.com
    6
  6. 06
    investopedia.com
    6
  7. 07
    institutional.fidelity.com
    5
  8. 08
    cambridgeassociates.com
    5
  9. 09
    blueowl.com (its own website)
    4
  10. 10
    privatebank.jpmorgan.com
    4

Blue Owl is in the study as a private equity firm.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
OpenAI
1/15
Gemini
0/15
Perplexity
0/15
Market comparisonSection 06

How Blue Owl compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
12

How often AI assistants name the company, and how that compares with its peers

Citations
2

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
21

How easily AI tools can read and use the website

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

Against its sectorSection 07

Compared with investing and wealth companies

238 companies in this sector. The gold tick on each bar is the typical company.

Overall score
31
Ranks 88 of 238. Typical company: 28
Named in answers
3.3%
Ranks 82 of 238. Typical company: 0.8%
AI readiness
21
Ranks 140 of 238. Typical company: 29
Against its categorySection 08

Compared with private equity firms

74 companies in this category. The gold tick on each bar is the typical company.

Overall score
31
Ranks 21 of 74. Typical company: 27
Named in answers
3.3%
Ranks 17 of 74. Typical company: 0.0%
AI readiness
21
Ranks 45 of 74. Typical company: 29
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, 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
Can an AI agent check out here?

Not by itself. Blue Owl publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

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

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it from robots.txt.

    study: 87.9%
  • Link headersNot met

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

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
0 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtNot met

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

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

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

    study: 92.7%
  • Content SignalsNot met

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

    study: 2.3%
  • Web Bot AuthNot present

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

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryNot met

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

    study: 6.3%
  • OAuth Protected ResourceNot met

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

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

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

    study: 0.8%
  • A2A Agent CardNot met

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

    study: 0.2%
  • Agent SkillsNot met

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

    study: 1.0%
  • WebMCPCould not check

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

    study: 0.0%
  • ARD manifestNot met

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

    study: 0.2%

Score 24 of 100 · 97% of checks could run · checked on October 9, 2026 · www.blueowl.com · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

3 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: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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.

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