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Pop Sells

popsells.com · Retail

Ranked 1,609 of 2,047 companies in the study

27Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality80
  • AI readiness36
What this means for Pop Sells

AI assistants do not name Pop Sells in any of their answers to questions about its market, while they mention companies like Boat Trader or RV Trader. Pop Sells has an overall score of 27 out of 100, ranking it 1,609th of 2,047 companies. Its website passes 5 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the retail market: none named Pop Sells. 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, Pop Sells 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
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
495 of 640
by overall score, where the typical retail company scores 34
How Pop Sells 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
1

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
36

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 score27
Ranks 495 of 640. Typical company: 34
Named in answers0%
Ranks 503 of 640. Typical company: 7%
AI readiness36
Ranks 156 of 640. Typical company: 29
What Claude actually said

The company is not named in this answer

“How does selling a boat online compare to selling through a local dealership?”

I'll search for current information comparing these two approaches.Based on the search results, here's how selling a boat online compares to selling through a local dealership:

Reach and Exposure

Selling online through boating marketplaces allows you to reach the most buyers and sell your boat for the best price, since buyers are shopping online. Targeted online marketplaces like BoatCrazy and BoatTrader can connect you with a greater number of serious buyers quickly.

Effort and Convenience

There's a significant difference in effort required. Selling privately means you'll need to ph …

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

Named instead
Boat Trader10YachtWorld8RV Trader6Boats.com2
Share of mentions

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

Boat Trader
31.8%
RV Trader
25.0%
YachtWorld
22.7%
Boats.com
18.2%
Camping World RV Sales
2.3%
Pop Sells
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
Can an AI agent buy here?

Not by itself. Pop Sells 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 43 of 100 · 97% of checks could run · checked on October 5, 2026 · www.popsells.com · 2,047 companies scanned

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

The checks behind the AI readiness score

5 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%
  • 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
  • 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 8 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AIpartly
  • Google-Extended*allowed
  • Applebot-Extended*allowed
  • Meta-ExternalAgent*allowed
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBot*allowed
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBot*allowed
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • 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

boattrader.com
40
alibaba.com
18
rvtrader.com
17
reddit.com
15
rvezy.com
14
boats.com
13
truervs.com
11
boatsetter.com
10
rvshare.com
8
rightboat.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
  • What factors affect the price of used boats in the U.S. marketplace?
  • Are expert-assisted RV transactions safer than handling the sale yourself?
  • What are some alternatives to using an online marketplace for buying a boat?
  • How does selling a boat online compare to selling through a local dealership?
  • What are the best online marketplaces to buy or sell used boats in the United States?
  • What’s the best way for first-time buyers to search for family-friendly boats?
  • What should I do if my boat listing isn’t getting any interest online?
  • Is it worth buying a pre-owned boat through an online marketplace?
  • How do listing fees for online RV marketplaces typically work?
  • What are the differences between listing an RV on a general classifieds site versus a specialized marketplace?
  • What are some other ways to connect with boat buyers without using classified ads?
  • Where else can you find listings for RVs besides online marketplaces?
  • How can families find the perfect RV for cross-country travel?
  • How can I handle title and escrow issues when buying an RV?
  • How can I value my RV before listing it for sale online?
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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