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Cohen & Steers

cohenandsteers.com · Finance · CNS

Ranked 1,987 of 2,047 companies in the study

22Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness0
What this means for Cohen & Steers

AI assistants do not name Cohen & Steers in any of their answers to questions about the market, while the typical company in the finance sector is named in 3.3% of answers. Its overall score is 22 out of 100, ranking 1,987th of 2,047 companies. The company's website passes 0 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the finance market: none named Cohen & Steers. AI assistants named it in none of 60 answers. The typical finance company is named in 3.3% of answers. By how often it is named, Cohen & Steers ranks 135 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
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
0/14
technical checks passed. Typical for its sector: 3
Rank in its sector
199 of 205
by overall score, where the typical finance company scores 29
How Cohen & Steers 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
0

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
73

How well built the website's own pages are

AI readiness
0

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 score22
Ranks 199 of 205. Typical company: 29
Named in answers0%
Ranks 135 of 205. Typical company: 3%
AI readiness0
Ranks 203 of 205. Typical company: 21
What Perplexity actually said

The company is not named in this answer

“How do costs for alternative income solutions compare to traditional fixed-income funds?”

Alternative income solutions are generally more expensive than traditional fixed-income funds, especially when they use private markets, active management, leverage, or performance-based fees. Traditional fixed-income funds, particularly broad bond ETFs and index-style funds, are typically lower cost and more transparent.

Traditional fixed-income funds: Vanguard cites an average fixed-income fund expense ratio of 0.07% for its own funds versus an industry average of 0.37%; it also notes passive bond ETFs can have expense ratios as low as 0.06%. Merrill …

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

J.P. Morgan Asset Management – Real Assets
66.7%
Principal Real Estate Investors
33.3%
Cohen & Steers
0.0%
Brookfield Asset Management
0.0%
Nuveen (a TIAA company)
0.0%
PGIM Real Estate
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

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: 92.0%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

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

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

The checks behind the AI readiness score

0 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
  • Not metrobots.txt publishedstudy: 85.0%
  • Not metXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • Not metToken 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%
Websites the AI used as sources

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

am.jpmorgan.com
35
blackrock.com
18
finance.yahoo.com
14
morganstanley.com
13
seekingalpha.com
12
cfainstitute.org
11
pgim.com
10
ssga.com
10
cohenandsteers.com (its own website)
9
privatebank.jpmorgan.com
9

In the study as US-listed.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Alternatives to core real estate allocations for generating yield
  • How do costs for alternative income solutions compare to traditional fixed-income funds?
  • How can data center infrastructure investments fit into an institutional portfolio?
  • Top alternative income solutions for high-net-worth individuals in the US
  • Preferred securities vs direct real estate investments: which is better for stable income?
  • What are some non-traditional income strategies for conservative investors beyond real estate?
  • How can investors address challenges with liquidity in alternative income portfolios?
  • Other ways to access essential real assets exposure besides listed funds or ETFs?
  • What are the best real asset strategies for institutional investors seeking portfolio diversification?
  • Is investing in essential real assets worth it for long-term capital appreciation?
  • Why might a real asset allocation underperform broad equities this year?
  • What role can real assets play in hedging against inflation for retirement plans?
  • Should financial advisors recommend alternative income funds to clients in today’s market?
  • How do private real assets compare to public real assets in terms of risk and return?
  • Typical management fees for US-based real asset investment strategies
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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