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Federal Realty Investment Trust

federalrealty.com · Retail · FRT

Ranked 507 of 2,047 companies in the study

39Overall score
  • Visibility12
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness29
What this means for Federal Realty Investment Trust

AI assistants name Federal Realty Investment Trust in 5% of answers, which is slightly less often than the typical company in the retail sector. The company has an overall score of 39 out of 100 and ranks 507th of 2,047 companies. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named Federal Realty Investment Trust. AI assistants named it in 3 of 60 answers (5.0%). The typical retail company is named in 6.7% of answers. By how often it is named, Federal Realty Investment Trust ranks 339 of 640 in its sector.

Named by AI in
5.0%
3 of 60 answers
Share of mentions
21.4%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
156 of 640
by overall score, where the typical retail company scores 34
How Federal Realty Investment Trust 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
12

How often AI assistants name the company

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
80

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 retail

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

Overall score39
Ranks 156 of 640. Typical company: 34
Named in answers5%
Ranks 339 of 640. Typical company: 7%
AI readiness29
Ranks 222 of 640. Typical company: 29
What Claude actually said

An answer that names the company

“What are the best retail and mixed-use REITs for stable dividends in the US?”

I'll search for information about the best retail and mixed-use REITs known for stable dividends in the US.Based on current market analysis, here are some of the best retail and mixed-use REITs for stable dividends in the US:

Top Recommendations for Stable Dividends

Realty Income (O)

Realty Income declared its 673rd consecutive monthly dividend in mid-2026 and has increased its payout 135 times since going public in 1994, including for the past 115 consecutive quarters (more than 30 straight years). It owns a diversified portfolio of properties across the retail, industrial, gaming, a …

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

Also named
Kimco Realty2Regency Centers1Brixmor Property Group1
Share of mentions

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

Federal Realty Investment Trust
33.3%
Regency Centers
22.2%
Kimco Realty
22.2%
Brixmor Property Group
11.1%
Urban Edge Properties
11.1%
Site Centers
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
OpenAI
1/15
Perplexity
1/15
Gemini
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
Can an AI agent buy here?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

  • UCPCould not check
  • ACPCould not check
  • AP2Not present
  • x402Not present
  • MPPNot present
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
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 AuthCould not check

    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 CatalogCould not check

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

    study: 0.3%
  • OAuth discoveryCould not check

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

    study: 11.8%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

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

    study: 0.2%
  • A2A Agent CardCould not check

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

    study: 0.1%
  • Agent SkillsCould not check

    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 manifestCould not check

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

    study: 0.1%

Score 35 of 100 · 65% of checks could run · checked on October 5, 2026 · www.federalrealty.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
  • 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.

Websites the AI used as sources

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

icsc.com
17
reit.com
14
cbre.com
13
jpmorgan.com
12
mrisoftware.com
9
jll.com
9
aquilacommercial.com
7
matthews.com
7
spglobal.com
7
investopedia.com
7

In the study as S&P 500.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How do mixed-use REITs compare to traditional retail REITs in terms of investment risk?
  • What are the best retail and mixed-use REITs for stable dividends in the US?
  • What alternatives exist for investors who want retail real estate exposure but not REITs?
  • How do triple net lease terms usually impact pricing for retail tenants in mixed-use developments?
  • What factors influence the leasing costs for premium retail space in US mixed-use neighborhoods?
  • Best practices for evaluating potential returns from investing in retail and mixed-use real estate trusts?
  • Is investing in retail and mixed-use neighborhood REITs still a good idea in today’s market?
  • Retail-focused REITs vs mixed-use REITs: which are better for portfolio diversification?
  • Top locations for businesses seeking high-traffic retail neighborhoods in the United States?
  • What are common challenges when leasing space in a mixed-use real estate development?
  • What are some non-REIT options for businesses seeking high-visibility retail locations in major US cities?
  • What should investors do if a REIT starts reducing its dividend payout?
  • Who typically benefits most from leasing space in a mixed-use neighborhood development?
  • Are mixed-use commercial properties worth the higher investment compared to single-use properties?
  • How can a small business benefit from choosing a retail location within a mixed-use destination?
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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Overall score 39 of 100 badge for Federal Realty Investment Trust

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