- Visibility10
- Citations0
- Sentiment50
- Site quality87
- AI readiness21
AI assistants name Newmark Group in 8.3% of answers, which is less often than the typical company in the real estate sector. Its overall score is 30 out of 100, ranking 1,212th 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 Newmark Group. AI assistants named it in 5 of 60 answers (8.3%). The typical real estate company is named in 11.7% of answers. By how often it is named, Newmark Group ranks 15 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
“Best ways for corporations to find tenant representation for office space in the US”
For corporations seeking tenant representation for office space in the US, the best approach is to hire a tenant-rep specialist or a large occupier-services firm that represents only the tenant’s interests in leasing, relocation, renewal, purchase, or disposition transactions.
The most effective ways to find one are:
Search for firms that explicitly offer tenant representation and occupier advisory services, such as Cushman & Wakefield, JLL, Newmark, Colliers, Avison Young, and Vestian, all of which describe tenant-focused leasing services nationwide.[ …
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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.
- Markdown negotiation
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%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.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- 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%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 43 of 100 · 100% of checks could run · checked on October 4, 2026 · www.nmrk.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%
- Not metXML 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%
- PassedExplicit 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 rules for 14 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AIpartly
- Google-Extended*allowed
- Applebot-Extended*blocked
- Meta-ExternalAgent*blocked
- FacebookBotpartly
- Bytespider*blocked
- CCBot*blocked
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebotpartly
- Amazonbot*blocked
- YouBotpartly
- ChatGPT-User*partly
- Claude-User*partly
- Perplexity-User*partly
- 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.
- Why might a portfolio optimization project stall in commercial real estate?
- Common mistakes when negotiating commercial leases for data centers
- Investment sales vs debt and structured finance in the commercial property sector – which is better for long-term returns?
- Does outsourcing lease administration help reduce costs for global corporations?
- Best ways for corporations to find tenant representation for office space in the US
- What factors influence the pricing of commercial real estate advisory fees?
- Alternatives to traditional brokerage for acquiring industrial properties
- Alternatives to full-service commercial real estate advisory for smaller property owners?
- How does property management differ from asset management in commercial real estate?
- Is commercial property valuation worth the investment for property owners?
- What are other options besides third-party facilities management for corporate occupiers?
- How much should institutional investors budget for transaction management services?
- What role do market research reports play in investment decisions for commercial properties?
- What are the top commercial real estate advisory services for institutional investors?
- How do advisory services support large-scale office relocations?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/nmrk.com"><img src="https://aeo-audit.rezolve.com/us/badges/nmrk.com.svg" alt="Overall score 30 of 100, US AI Visibility Study 2026" width="280" height="64"></a>