- Visibility6
- Citations0
- Sentiment50
- Site quality87
- AI readiness21
AI assistants rarely name Annaly Capital Management, mentioning it in 1 of 60 answers, sometimes alongside Chimera Investment Corporation. Its overall score is 29 out of 100, ranking 1,334th of 2,047 companies. The company's website passes 3 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the finance market: none named Annaly Capital Management. 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, Annaly Capital Management 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.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
205 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Which mortgage REITs offer broad exposure to both residential and commercial mortgage assets?”
Short answer — a few publicly traded mortgage REITs that explicitly operate across both residential and commercial mortgage assets (i.e., they hold RMBS/whole residential loans and also CMBS/commercial mortgage loans or related commercial credit) include:
Annaly Capital Management (NLY). Annaly runs distinct strategies that include Agency RMBS, Agency CMBS and non‑agency residential credit; its disclosures and investor materials show allocations to both residential and commercial MBS. (investor.annaly.com)
Chimera Investm …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthCould not check
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdCould not check
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: 0.1%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: 33.7%WebMCPNot met
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 25 of 100 · 95% of checks could run · checked on October 4, 2026 · www.annaly.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Which types of funds or vehicles offer similar yield potential to mortgage REITs without direct exposure to mortgage assets?
- Are mortgage REITs a good addition to a fixed income portfolio in today's interest rate environment?
- Can mortgage REITs help institutional investors achieve higher yield in a low-interest-rate market?
- What are common risks associated with investing in mortgage real estate investment trusts and how can they be managed?
- What factors influence the share price of mortgage real estate investment trusts?
- What are the key considerations when evaluating the performance of a mortgage REIT focused on the US market?
- Is it worth investing in diversified mortgage REITs for exposure to residential and commercial mortgage-backed securities?
- How do mortgage REITs fit into a portfolio focused on income generation and capital preservation?
- Which mortgage REITs offer broad exposure to both residential and commercial mortgage assets?
- Mortgage real estate investment trusts vs direct mortgage lending: what are the key pros and cons for investors?
- How are management fees typically structured for mortgage REITs and how do they compare to other real estate vehicles?
- How do agency mortgage REITs compare to non-agency mortgage REITs in terms of risk and return?
- Why might the dividend yield from a mortgage REIT fluctuate over time?
- What are some alternative investments to mortgage REITs for gaining exposure to real estate debt?
- What are the main types of mortgage REITs and how do they differ from traditional equity REITs?
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.