- Visibility62
- Citations4
- Sentiment78
- Site quality80
- AI readiness36
AI assistants name the company in 76.7% of answers, much more often than the typical company in its sector. Its overall score is 53 out of 100, placing it 2nd of 2,047 companies in the study. The company's website passes 5 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Figma. AI assistants named it in 46 of 60 answers (76.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Figma ranks 2 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
“What are some alternatives to browser-based design and prototyping platforms?”
I can provide you with information about alternatives to browser-based design and prototyping platforms based on my knowledge:
Desktop Applications
Figma alternatives (still web-based, but with offline options):
Sketch - macOS-focused design tool with a strong community and plugin ecosystem
Adobe XD - Adobe's prototyping and design tool available on Windows and macOS
Affinity Designer - A professional vector graphics application for design work
CorelDRAW - Established vector graphics editor used for design and illustration
Specialized Prototyping Tools …
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 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 rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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 discoveryPassed
OpenID Connect or OAuth metadata agents can use to sign in.
- 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 37 of 100 · 97% of checks could run · checked on October 5, 2026 · www.figma.com · 2,047 companies scanned
5 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%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- PassedOAuth 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 11 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AIpartly
- Google-Extended*blocked
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBot*blocked
- Bytespiderpartly
- CCBot*blocked
- Diffbotpartly
- Omgilibot*blocked
- OAI-SearchBot*allowed
- Claude-SearchBot*allowed
- PerplexityBot*allowed
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*allowed
- Claude-User*allowed
- 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.
- What are some alternatives to browser-based design and prototyping platforms?
- Alternatives to unified design and code workspaces for large enterprise teams
- Do collaborative product design tools pay off for small startups?
- What is the price range for cloud-based collaborative design platforms for businesses?
- Best options for organizations seeking self-hosted collaborative design tools
- How can a product design platform streamline prototyping for cross-functional teams?
- Why can't my design edits sync with my development team's workspace?
- Is it worth upgrading to a paid plan for a collaborative design and development platform?
- Ways to use digital canvases for organizing user feedback during product development
- Which digital workspaces support both design and development collaboration?
- How do you resolve version control issues in online product design platforms?
- What are the best collaborative product design platforms for remote teams?
- Are there free options for online product design and development workspaces?
- Product design platforms vs code collaboration tools: which is better for cross-functional teams?
- How do web-based design platforms compare to desktop design tools for team collaboration?
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/figma.com"><img src="https://aeo-audit.rezolve.com/us/badges/figma.com.svg" alt="Overall score 53 of 100, US AI Visibility Study 2026" width="280" height="64"></a>