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Fox Factory

ridefox.com · Automotive · FOXF

Ranked 1,178 of 2,047 companies in the study

31Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness64
What this means for Fox Factory

AI assistants rarely name Fox Factory, mentioning it in 1 of 60 answers. RockShox and King Shocks are also mentioned in the same answer. Its overall score is 31 out of 100, ranking 1,178th of 2,047 companies. The website passes 9 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the automotive market: none named Fox Factory. AI assistants named it in 1 of 60 answers (1.7%). The typical automotive company is named in 5.0% of answers. By how often it is named, Fox Factory ranks 30 of 49 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.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.0%
compared with 5 rivals
AI readiness
9/14
technical checks passed. Typical for its sector: 3
Rank in its sector
25 of 49
by overall score, where the typical automotive company scores 31
How Fox Factory 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
3

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
64

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 automotive

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

Overall score31
Ranks 25 of 49. Typical company: 31
Named in answers2%
Ranks 30 of 49. Typical company: 5%
AI readiness64
Ranks 1 of 49. Typical company: 29
What OpenAI actually said

An answer that names the company

“What is the average price range for high-end suspension forks for bicycles?”

Short answer: for modern mountain bikes, “high-end” suspension forks typically cost about $800–$2,000 new.

More detail and context:

Upper‑end trail / enduro forks (Fox Factory, RockShox Ultimate/RC2 level, etc.): roughly $800–$1,600.

Top‑tier DH (downhill) or race‑spec forks and limited/collector models: about $1,200–$2,000+.

Mid‑range performance forks: roughly $350–$800.

Entry/entry‑performance: under $350 (often lower‑spec air or coil forks).

What drives price

Damping hardware and adjustability (multiple compression/rebound circuits, EVOL chambers, tokens).

Stanchion …

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

Also named
RockShox5King Shocks1
Share of mentions

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

RockShox
46.7%
Bilstein US
33.3%
King Shocks
13.3%
Fox Factory
6.7%
Öhlins USA
0.0%
DVO Suspension
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
1/15
Claude
0/15
Gemini
0/15
Perplexity
0/15
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?

Yes. Fox Factory publishes a UCP profile, a file that tells an AI agent how to buy, and it includes checkout.

  • UCPPublished
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The page also offers an agent tools inside the browser: add to cart, proceed to checkout, update cart lines.

The shop runs on Shopify.

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
50 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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
27 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 11.8%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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%
  • WebMCPPassed

    Tools registered in the browser through navigator.modelContext.

    study: 33.7%
  • ARD manifestNot met

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

    study: 0.1%

Score 45 of 100 · 100% of checks could run · checked on October 5, 2026 · ridefox.com · 2,047 companies scanned

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

The checks behind the AI readiness score

9 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%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown content negotiationstudy: 8.3%
  • Passedllms.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%
  • PassedOAuth Authorization Server discoverystudy: 10.1%
  • PassedOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • PassedWebMCP 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

bikeradar.com
19
reddit.com
13
shocksurplus.com
13
motortrend.com
9
canyon.com
9
youtube.com
8
rei.com
6
shockwarehouse.com
6
carinterior.alibaba.com
6
ohlins.com
6

In the study as Consumer brands.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Is upgrading mountain bike suspension worth it for cross-country riding?
  • Internal bypass shocks vs. monotube shocks: which performs better in desert racing?
  • Are premium vehicle suspension upgrades worth the investment for weekend racers?
  • How much should I budget for a full suspension upgrade on a pickup truck?
  • What are the best high-performance suspension systems for mountain bikes used in aggressive trail riding?
  • Which type of vehicle suspension is best for both daily driving and occasional off-roading?
  • How do adjustable coilover suspensions compare to air suspension systems for off-road vehicles?
  • What are some alternatives to coil spring suspension for off-road applications?
  • Why is my mountain bike suspension making a clunking noise over rough terrain?
  • What are the top-rated performance shocks for overlanding in the US?
  • Are there lightweight suspension options suitable for road cycling?
  • What is the average price range for high-end suspension forks for bicycles?
  • What features should I look for in high-performance UTV suspension systems?
  • What type of suspension system is recommended for downhill biking?
  • How can I fix excessive sag in my vehicle’s rear suspension?
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.

Next step

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