- Visibility46
- Citations0
- Sentiment50
- Site quality73
- AI readiness21
AI assistants name CoStar Group in 56.7% of answers, which is far more often than the typical company in the real estate sector. It earns an overall score of 39 out of 100, ranking 434th of 2,047 companies in the study. Its website passes 3 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the real estate market: none named CoStar Group. AI assistants named it in 34 of 60 answers (56.7%). The typical real estate company is named in 11.7% of answers. By how often it is named, CoStar Group ranks 2 of 26 in its sector.
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.
26 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Are there affordable options for accessing commercial real estate research platforms?”
Yes, there are affordable options for accessing commercial real estate (CRE) research platforms, especially when compared to industry giants like CoStar, which is known for being expensive.
Here are some cost-effective alternatives and platforms that offer good value:
Crexi: Often cited as an affordable alternative to CoStar, Crexi offers a commercial marketplace with an analytics layer called Crexi Intelligence. It provides sales comps, property records, and demographics, with strong coverage in retail and industrial properties. Crexi Intelligence costs around $299 per month, which …
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
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 teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPartly met
Serve an XML sitemap and reference it 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 AuthNot present
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.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: 0.1%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%WebMCPCould not check
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 24 of 100 · 97% of checks could run · checked on October 3, 2026 · costargroup.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 S&P 500.
- What’s the difference between digital marketplace platforms and basic real estate listing services for commercial properties?
- Are there affordable options for accessing commercial real estate research platforms?
- Which analytics tools help commercial property professionals assess investment opportunities?
- How can commercial real estate data platforms help streamline property valuations?
- What are the best commercial real estate data platforms for tracking market trends in the US?
- Are premium commercial real estate analytics platforms worth the cost for small businesses?
- Are there open-source or public databases that offer commercial property data in the US?
- How much do commercial property data and analytics subscriptions typically cost in the US?
- What are alternatives to large-scale commercial real estate analytics tools for independent brokers?
- What are effective ways to use market analytics tools for identifying emerging commercial property opportunities?
- What should I look for when choosing a commercial property data provider?
- Which platforms provide the most comprehensive insights for multifamily, office, and industrial properties?
- How do commercial property data services compare to traditional brokerage research?
- How can I verify the accuracy of vacancy and lease rate data from commercial real estate platforms?
- Why might sales comparables in a real estate analytics tool not match public records?
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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<a href="https://aeo-audit.rezolve.com/us/costargroup.com"><img src="https://aeo-audit.rezolve.com/us/badges/costargroup.com.svg" alt="Overall score 39 of 100, US AI Visibility Study 2026" width="280" height="64"></a>