- Visibility56
- Citations1
- Sentiment66
- Site quality80
- AI readiness29
AI assistants name Nextdoor in 66.7% of answers, much more often than the typical company in the technology sector, which appears in 10%. Nextdoor's overall score is 47 out of 100, ranking 39th of 2,047 companies. Its website passes 4 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Nextdoor. AI assistants named it in 40 of 60 answers (66.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Nextdoor ranks 5 of 273 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.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Is it safe and effective to use neighborhood-focused apps to meet new people nearby?”
Neighborhood-focused apps can be effective for meeting new people nearby and fostering community, but it's important to be aware of potential safety concerns and use them thoughtfully. These apps, like Nextdoor and Meetup, connect people based on geography or shared interests, offering opportunities for social interaction and community building.
Benefits:
Community Connection: They can help you feel more connected to your neighborhood, especially if you're new to an area.
Shared Interests: Apps like Meetup allow you to find groups centered around specific hobbies or activi …
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
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%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 DiscoveryPassed
SVCB or HTTPS records under _agents that advertise agent endpoints.
- 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 ResourcePassed
Metadata telling agents which authorization server to use.
- 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 22 of 100 · 97% of checks could run · checked on October 5, 2026 · nextdoor.com · 2,047 companies scanned
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 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%
- PassedOAuth 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 1 AI crawler by name. All others follow its general rules.
- GPTBot*blocked
- 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.
- Is it safe and effective to use neighborhood-focused apps to meet new people nearby?
- Best ways to ask for local recommendations on a community app
- What are the most popular neighborhood social networking platforms for local residents in the US?
- Are local social community apps usually free to use or do they have membership fees?
- Alternatives to local community forums for sharing neighborhood updates
- Best ways to connect with people in your local community online
- Why can’t I post in my local area on community networking platforms?
- How can I use a neighborhood social platform to organize a community event?
- Top-rated methods for exchanging local tips and information with people in your area
- How do I deal with privacy concerns when using local social sharing sites?
- What other options exist for buying and selling items within your zip code online?
- What features are typically offered with paid versions of neighborhood connection sites?
- Are local community platforms worth joining for exchanging goods and services?
- How do local neighborhood forums compare with broader city-based message boards?
- Local classifieds platforms vs online neighborhood groups for buying and selling items
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/nextdoor.com"><img src="https://aeo-audit.rezolve.com/us/badges/nextdoor.com.svg" alt="Overall score 47 of 100, US AI Visibility Study 2026" width="280" height="64"></a>