- Visibility7
- Citations0
- Sentiment50
- Site quality67
- AI readiness7
AI assistants rarely name Blank Street Coffee, mentioning the company in 2 out of 60 answers. Its overall score is 24 out of 100, ranking 1,859th of 2,047 companies measured. The company's website passes 1 out of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the retail market: none named Blank Street Coffee. AI assistants named it in 2 of 60 answers (3.3%). The typical retail company is named in 6.7% of answers. By how often it is named, Blank Street Coffee ranks 392 of 640 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.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Where to find quick grab-and-go matcha or coffee near subway stations”
Finding quick grab-and-go matcha or coffee near subway stations is increasingly easy, especially in cities with extensive subway systems like New York City. Many coffee shops and matcha specialty stores are strategically located near transit hubs to cater to commuters.
Here are some general tips and specific examples in NYC:
General Tips for Finding Grab-and-Go Options:
Utilize Apps: Use mapping apps (like Google Maps) and search for "coffee near me" or "matcha near me" once you exit a subway station. These apps often show hours, reviews, and whether they offer takeout.
Lo …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Not by itself. Blank Street Coffee publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.
- UCPNot present
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot 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 rulesNot 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 0 of 100 · 97% of checks could run · checked on October 5, 2026 · www.blankstreet.com · 2,047 companies scanned
1 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
- Not metrobots.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%
- 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%
How many times each website was listed as a source in these answers
In the study as Consumer brands.
- Best specialty coffee shops with matcha options for busy commuters
- Tips for maximizing points in US coffee rewards programs
- Where to find quick grab-and-go matcha or coffee near subway stations
- Alternatives to chain cafés for high-quality matcha drinks
- Cold brew vs matcha drinks for an afternoon energy boost
- Common reasons mobile coffee orders aren’t ready on arrival
- Popular places to get autumn-inspired lattes and chai in US cities
- Other ways to earn rewards on everyday coffee purchases
- Options for fresh coffee and matcha delivery in major US cities
- Is it better value to order seasonal drinks or stick to classics at coffee chains?
- How much does a specialty matcha latte usually cost in NYC or LA?
- Typical price range for fall-themed beverages at specialty cafés
- App-based ordering cafés vs traditional coffee shop experience
- Best coffee shop setups for remote work in urban areas
- Are specialty café reward programs really worth signing up for?
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.