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Steel City Collectibles

steelcitycollectibles.com · Retail

Ranked 772 of 2,047 companies in the study

36Overall score
  • Visibility15
  • Citations1
  • Sentiment70
  • Site quality93
  • AI readiness21
What this means for Steel City Collectibles

AI assistants name Steel City Collectibles in 6.7% of answers, which matches the typical company in the retail sector. Its overall score is 36 out of 100, ranking 772nd of 2,047 companies. The website passes 3 of 14 technical checks, showing some readiness for AI tools.

We asked 15 unbranded questions about the retail market: none named Steel City Collectibles. AI assistants named it in 4 of 60 answers (6.7%). The typical retail company is named in 6.7% of answers. By how often it is named, Steel City Collectibles ranks 301 of 640 in its sector.

Named by AI in
6.7%
4 of 60 answers
Share of mentions
26.7%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
248 of 640
by overall score, where the typical retail company scores 34
How Steel City Collectibles 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
15

How often AI assistants name the company

Citations
1

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

Sentiment
70

How positively AI describes the company

Site quality
93

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 score36
Ranks 248 of 640. Typical company: 34
Named in answers7%
Ranks 301 of 640. Typical company: 7%
AI readiness21
Ranks 351 of 640. Typical company: 29
What Gemini actually said

An answer that names the company

“Alternatives to online retailers for buying gaming cards in the US?”

If you're looking to purchase gaming cards in the US and prefer not to buy from online retailers, you have several excellent brick-and-mortar options:

1. Local Game Stores (LGS).

These independent shops are often the heart of the gaming community and specialize in various trading card games (TCGs) like Magic: The Gathering, Pokémon, and Yu-Gi-Oh!.

Many offer a wide selection of singles, booster packs, and sealed products, along with accessories like dice and miniatures.

LGS often host events like tournaments and casual play, providing a great way to engage with other gamers …

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

Also named
Blowout Cards2
Share of mentions

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

Steel City Collectibles
40.0%
DA Card World (Dave & Adam's Card World)
40.0%
Blowout Cards
20.0%
Collector's Cache
0.0%
JJ Cards
0.0%
RBI Cards
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
Perplexity
1/15
Claude
0/15
OpenAI
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?

Not by itself. Steel City Collectibles 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
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
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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.steelcitycollectibles.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%
  • Not metXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown 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%
  • 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

deadspin.com
33
reddit.com
29
youtube.com
26
pokemon.com
13
nytimes.com
10
si.com
10
alibaba.com
10
topconsumerreviews.com
9
thelines.com
8
store.nba.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 (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What should I do if my sports card order arrives damaged?
  • Should I invest in graded sports cards or buy ungraded singles?
  • Why do premium trading card releases cost more than standard packs?
  • How can I verify the authenticity of signed memorabilia bought online?
  • What are the best ways to trade sports cards besides online shops?
  • Best ways to start a collection of sports trading cards for beginners?
  • What is a typical price range for current-year football card hobby boxes?
  • Are hobby boxes better than retail boxes for collecting trading cards?
  • Top-rated shops for certified sports memorabilia in the United States?
  • How do group breaks work for gaming and sports card products?
  • How do online sports card retailers compare to local card shops?
  • Is it worth paying extra for sealed case breaks in trading card collecting?
  • Alternatives to online retailers for buying gaming cards in the US?
  • Where can collectors find new releases of Pokémon, Magic, and sports cards in the US?
  • What are the best places to buy sports cards online in the US?
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 36 of 100 badge for Steel City Collectibles

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<a href="https://aeo-audit.rezolve.com/us/steelcitycollectibles.com"><img src="https://aeo-audit.rezolve.com/us/badges/steelcitycollectibles.com.svg" alt="Overall score 36 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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