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Stitch Fix

stitchfix.com · Retail · SFIX

Ranked 442 of 2,047 companies in the study

39Overall score
  • Visibility37
  • Citations3
  • Sentiment60
  • Site quality73
  • AI readiness21
What this means for Stitch Fix

AI assistants name Stitch Fix in 36.7% of answers, much more often than the typical company in the retail sector. Its overall score is 39 out of 100, ranking 442nd of 2,047 companies. The Stitch Fix website passes 3 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the retail market: none named Stitch Fix. AI assistants named it in 22 of 60 answers (36.7%). The typical retail company is named in 6.7% of answers. By how often it is named, Stitch Fix ranks 58 of 640 in its sector.

Named by AI in
36.7%
22 of 60 answers
Share of mentions
38.6%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
156 of 640
by overall score, where the typical retail company scores 34
How Stitch Fix compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
37

How often AI assistants name the company

Citations
3

How often AI uses the company's own website as a source

Sentiment
60

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
21

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with retail

640 companies in this sector. The line on each bar is the typical company.

Overall score39
Ranks 156 of 640. Typical company: 34
Named in answers37%
Ranks 58 of 640. Typical company: 7%
AI readiness21
Ranks 351 of 640. Typical company: 29
What Gemini actually said

An answer that names the company

“How do clothing subscriptions for kids differ from those for adults?”

Clothing subscriptions for kids and adults share some similarities, but they primarily differ in their approach to sizing, style selection, and the underlying needs they address.

Here's a breakdown of the key differences:

Kids' Clothing Subscriptions:

Addressing Rapid Growth: The most significant difference is how they handle children's fast-changing sizes. Kids' subscriptions often offer more flexibility for size swaps or operate on a rental model, allowing parents to exchange outgrown clothes for the next size up without constant repurchasing. This is especially beneficial for …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Wantable11Kidpik2
Share of mentions

How the mentions in these answers were split between this company and its rivals

Stitch Fix
42.3%
Wantable
23.1%
Trunk Club (Nordstrom Trunk Club)
19.2%
Dailylook
7.7%
Kidpik
3.8%
Amazon Personal Shopper by Prime Try Before You Buy
3.8%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
9/15
Perplexity
5/15
Claude
5/15
OpenAI
3/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent buy here?

Not by itself. Stitch Fix 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 team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.stitchfix.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

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.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

mysubscriptionaddiction.com
51
reddit.com
24
forbes.com
18
stitchfix.com (its own website)
14
psecu.com
9
alibaba.com
9
trevorfurbay.com
8
nypost.com
7
reviewed.com
7
bundletobundle.com
7

In the study as Consumer brands.

Every question, and where the company came up (10 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How do clothing subscriptions for kids differ from those for adults?
  • Tips for updating your style profile to get better clothing picks from stylist services?
  • What are the benefits of clothing subscription boxes for busy parents?
  • What types of personal styling boxes are available for plus-size fashion?
  • Is getting a monthly clothing box worth it for building a new wardrobe?
  • Personal stylist services vs. automated fashion box algorithms—what's the difference?
  • How do clothing box subscriptions work for men, women, and kids?
  • What are some alternatives to clothing subscription boxes for personalized fashion?
  • How does a clothing subscription service compare to shopping in-store for convenience?
  • How much value do you get from curated fashion subscription boxes?
  • What can I do if items in my style box don’t fit or match my preferences?
  • Are personal styling services cost-effective for people on a budget?
  • What’s the average price range for clothing subscription services in the US?
  • Can personal styling services help with finding outfits for special occasions?
  • What are the best clothing subscription services for personalized stylist picks?
named the companyanswered without naming itdid not answer

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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Overall score 39 of 100 badge for Stitch Fix

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