- Visibility59
- Citations9
- Sentiment64
- Site quality80
- AI readiness64
AI assistants name ecoATM in 63.3% of their answers, far more often than the typical company in the retail sector at 6.7%. ecoATM has an overall score of 53 points out of 100, ranking 4th of 2,047 companies and 1st in its sector. The website passes 9 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the retail market: none named ecoATM. AI assistants named it in 38 of 60 answers (63.3%). The typical retail company is named in 6.7% of answers. By how often it is named, ecoATM ranks 8 of 640 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.
640 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“How do electronics buyback kiosks compare to mail-in device trade-in programs?”
I'll search for information about how these two programs compare.Based on the search results, here's how electronics buyback kiosks compare to mail-in device trade-in programs:
Speed and Convenience
Kiosk buyback services offer instant cash at retail locations with no shipping—you walk up, place your device in the machine, receive an offer, and get paid on the spot. In contrast, mail-in programs can take up to two weeks to receive your payout between shipping, evaluation, and processing.
Payouts and Values
While kiosks like ecoATM are designed for speed and accessibility, offering in …
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
Yes. ecoATM 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 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 DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- 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.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- 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 ResourcePassed
Metadata telling agents which authorization server to use.
- 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%WebMCPPassed
Tools registered in the browser through navigator.modelContext.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 45 of 100 · 100% of checks could run · checked on October 5, 2026 · www.ecoatm.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as US retailers: listed as a retailer in Wikidata, a public database, and among the websites Cloudflare Radar ranks as visited.
- How do electronics buyback kiosks compare to mail-in device trade-in programs?
- How is the payout calculated for used electronics at walk-up kiosks?
- Where can I sell my used phone for cash instantly near me?
- What affects the cash offer for devices sold at recycling kiosks?
- How else can I recycle or donate an old tablet aside from using a kiosk?
- Do electronics buyback kiosks pay a fair price for used tablets?
- How do I prepare my device before selling it at an electronics buyback kiosk?
- Where can I find local options to sell outdated electronics for cash?
- Is using an electronics recycling kiosk worth it for older mobile devices?
- What are some alternatives to electronics buyback kiosks for selling used phones in the US?
- Can I trade in a broken phone for cash at a device buyback kiosk?
- What are the best ways to recycle old tablets and get paid in the US?
- Is it better to use an in-person device recycling kiosk or an online buyback service for selling used smartphones?
- What should I do if a recycling kiosk doesn't accept my phone model?
- Are buyback kiosks a good option for selling multiple devices at once?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/ecoatm.com"><img src="https://aeo-audit.rezolve.com/us/badges/ecoatm.com.svg" alt="Overall score 53 of 100, US AI Visibility Study 2026" width="280" height="64"></a>