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RangeMe

rangeme.com · Retail

Ranked 380 of 2,047 companies in the study

40Overall score
  • Visibility29
  • Citations3
  • Sentiment73
  • Site quality80
  • AI readiness21
What this means for RangeMe

AI assistants name RangeMe in 26.7% of answers, much more often than the typical company in the retail sector. Its overall score is 40 out of 100, ranking 380th of 2,047 companies. The website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named RangeMe. AI assistants named it in 16 of 60 answers (26.7%). The typical retail company is named in 6.7% of answers. By how often it is named, RangeMe ranks 106 of 640 in its sector.

Named by AI in
26.7%
16 of 60 answers
Share of mentions
32.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
131 of 640
by overall score, where the typical retail company scores 34
How RangeMe 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
29

How often AI assistants name the company

Citations
3

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

Sentiment
73

How positively AI describes the company

Site quality
80

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 score40
Ranks 131 of 640. Typical company: 34
Named in answers27%
Ranks 106 of 640. Typical company: 7%
AI readiness21
Ranks 351 of 640. Typical company: 29
What Claude actually said

An answer that names the company

“Are there free options for listing products on supplier-buyer platforms used by retail buyers?”

I'll search for information about free options on supplier-buyer platforms for retail businesses.Yes, there are several free options for listing products on supplier-buyer platforms. Here are the main ones:

Free Listing Platforms

Wholesale Central is highlighted as the best free option—a no-cost directory, though nobody's checking the listings for you. What makes Wholesale Central stand out is its free access model, and you do not need a paid membership to explore suppliers or registration to initiate conversations with listed wholesale companies.

Thomasnet is a free-to-use suppl …

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

Also named
Faire13Wholesale Central4ECRM1
Share of mentions

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

Faire
40.0%
RangeMe
35.6%
Wholesale Central
15.6%
Handshake by Shopify
6.7%
ECRM
2.2%
Hubba
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
6/15
OpenAI
4/15
Claude
3/15
Gemini
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?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

  • UCPCould not check
  • ACPCould not check
  • 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 AuthCould not check

    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 CatalogCould not check

    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 CardCould not check

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

    study: 0.2%
  • A2A Agent CardCould not check

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

    study: 0.1%
  • Agent SkillsCould not check

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

    study: 0.2%
  • WebMCPNot met

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

    study: 33.7%
  • ARD manifestCould not check

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

    study: 0.1%

Score 32 of 100 · 74% of checks could run · checked on October 4, 2026 · www.rangeme.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • Not metXML 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

shopify.com
20
faire.com
14
rangeme.com (its own website)
14
globalsources.com
12
supplier.io
11
linkedin.com
10
salehoo.com
10
sourceforge.net
8
directiveconsulting.com
8
joor.com
8

In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.

Every question, and where the company came up (7 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Are there free options for listing products on supplier-buyer platforms used by retail buyers?
  • What are some cost-effective alternatives to online B2B retail product discovery platforms?
  • What’s the best way for manufacturers to get discovered by large retailers in the US?
  • How much does it typically cost to showcase products on B2B product discovery platforms?
  • How can independent brands connect with national retail buyers online?
  • How do I improve my supplier profile to attract more buyers on product discovery sites?
  • What are the best online platforms for retail buyers to discover new suppliers and products?
  • Online B2B product discovery platforms vs traditional trade shows: which is more effective for retail sourcing?
  • How do digital supplier platforms compare to manual outreach when connecting retail buyers with manufacturers?
  • How do retail buyers find emerging brands for their stores?
  • Is it worth paying for a premium profile on a B2B supplier discovery site?
  • What are some other ways to connect with retail buyers besides using digital supplier platforms?
  • Why aren’t my products getting attention from retail buyers on B2B platforms?
  • Where can suppliers meet buyers outside of online product discovery sites?
  • Do online product sourcing platforms really help brands get picked up by retailers?
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 40 of 100 badge for RangeMe

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