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TME US, LLC

tme.com · Retail

Ranked 2,014 of 2,047 companies in the study

21Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality60
  • AI readiness14
What this means for TME US, LLC

AI assistants do not name TME US, LLC in any of their answers to questions about the retail market. Its overall score is 21 out of 100, ranking 2,014th of 2,047 companies overall. The company's website passes 2 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named TME US, LLC. AI assistants named it in none of 60 answers. The typical retail company is named in 6.7% of answers. By how often it is named, TME US, LLC ranks 503 of 640 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
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
621 of 640
by overall score, where the typical retail company scores 34
How TME US, LLC 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
0

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
60

How well built the website's own pages are

AI readiness
14

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 score21
Ranks 621 of 640. Typical company: 34
Named in answers0%
Ranks 503 of 640. Typical company: 7%
AI readiness14
Ranks 503 of 640. Typical company: 29
What Gemini actually said

The company is not named in this answer

“Is it worth buying electronic components in large quantities for hobby projects?”

Buying electronic components in large quantities for hobby projects can be a good strategy, especially for common parts, but it comes with both advantages and disadvantages.

Advantages of Buying in Bulk:

Cost Savings: Generally, buying in larger quantities leads to a lower price per unit compared to purchasing individual items or small packs. This is a primary reason hobbyists consider bulk purchases.

Reduced Shipping Costs and Time: Ordering fewer times in bulk can save on repeated shipping fees and reduce the waiting time for parts needed for multiple projects.

Con …

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

Named instead
Mouser Electronics3Arrow Electronics2
Share of mentions

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

Digi-Key Electronics
34.5%
Mouser Electronics
30.9%
Arrow Electronics
20.0%
Newark (An Avnet Company)
14.5%
TME US, LLC
0.0%
Allied Electronics & Automation
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent buy here?

Not by itself. TME US, LLC 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%
  • WebMCPNot met

    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 24 of 100 · 100% of checks could run · checked on October 3, 2026 · tme.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%
  • Not metToken budget (page weight)study: 95.2%
Bot Access Control
  • PassedExplicit 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 rules for 3 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespider*blocked
  • CCBot*blocked
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbot*blocked
  • 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

reddit.com
27
thomasnet.com
12
electronics.alibaba.com
9
3etech.com
9
ultralibrarian.com
9
octopart.com
8
electricalflux.com
7
ersaelectronics.com
7
mouser.com
7
justdial.com
7

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 (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Is it worth buying electronic components in large quantities for hobby projects?
  • Best ways to locate affordable surplus or end-of-line electronic parts for prototyping?
  • Are online electronic parts distributors reliable for sourcing rare semiconductors?
  • How to verify the authenticity of electronic parts bought online?
  • What are alternatives to buying electronic parts from large-scale distributors?
  • Which electronic parts suppliers offer components suitable for high-frequency applications?
  • What are the best online electronic components distributors for small orders in the US?
  • Why do connector prices vary so much between distributor platforms?
  • Where else can engineers source obsolete electronic components in the US?
  • How do surplus electronic component suppliers compare to authorized distributors?
  • What types of electronic components are most commonly used in robotics projects?
  • Bulk electronic components distributors vs. local electronics stores: which is better for professional engineers?
  • Where can I find a wide range of electronic parts for DIY projects?
  • What should I do if a purchased electronic component turns out to be faulty?
  • How do prices for integrated circuits differ between US-based distributors and international suppliers?
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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