Scan a site

auctionninja.com is ranked in the top 10,000 sites and was registered in 2002. It is built with PHP; we found no traces of an AI site builder.

The page shows little text before JavaScript runs. Sites drawn by JavaScript show fewer signals until we can render them in a browser.

Popularity

Website Traffic Checker

Among the top 10K sites.

A popularity band, not a visit count.

Tranco: #19,120 · Chrome UX Report: Top 10,000 · Majestic Million: #363,162

Each list, with its date
SourceSaysAs of
TrancoA research ranking that combines several traffic and link sources, published daily.#19,120list of 27 Oct 2026
Chrome UX ReportRank buckets from Google’s real Chrome traffic, published monthly.Top 10,000Sep 2026
Majestic MillionRanks sites by how many separate networks link to them (links, not visits), published daily. CC BY 3.0#363,162list of 28 Oct 2026
Was this answer right?

Technology

Tech Stack Checker

Built with PHP.

  • PHPLanguageShow evidenceHide evidence
    Evidence · response header
    set-cookie: PHPSESSID=…
    Popular sites using PHP Is this wrong? Report it
Everything else it uses (6)

Around it: CDN, DNS, Email, Marketing and more.

Business tools can stay listed after a site stops using them.

Was this answer right?

Trust signals

Website Trust Checker

We couldn’t read the page; outside records are below.

Signals, not a judgement: missing details are common on small, honest sites.

  • Domain registered12 Jan 2002, 24 years agoNoted
  • HTTPSLoads over HTTPS with a valid certificateFound
  • Security filterNot blocked by Cloudflare’s security filter and Quad9’s security filterNoted
Every signal we looked at

On the site

  • Contact pageThe page shows little text before its JavaScript runsCouldn’t check
  • About pageThe page shows little text before its JavaScript runsCouldn’t check
  • Privacy policyThe page shows little text before its JavaScript runsCouldn’t check
  • TermsThe page shows little text before its JavaScript runsCouldn’t check
  • Refund or returns policyThe page shows little text before its JavaScript runsCouldn’t check
  • Contact detailsThe page shows little text before its JavaScript runsCouldn’t check
  • Company detailsThe page shows little text before its JavaScript runsCouldn’t check
  • Payment providersThe page shows little text before its JavaScript runsCouldn’t check
  • TrackersThe page shows little text before its JavaScript runsCouldn’t check

Behind the site

  • Security filterNot blocked by Cloudflare’s security filter and Quad9’s security filterNotedCloudflare’s security filter and Quad9’s security filter
  • Domain registered12 Jan 2002, 24 years agoNoteddomain registry
  • HTTPSLoads over HTTPS with a valid certificateFound
  • Protective settings2 of 6 in placePartly
  • Email protectionProtected against forged emailFoundDNS records

A second opinion on its security setup: Mozilla’s HTTP Observatory grades the site when you open it. Ten checks before you buy · A signal looks wrong? Report it

Was this answer right?

What it is

Website Summary

The page doesn’t say what it is.

The page has no title or description.

Why can this be empty?

The page doesn’t show enough to say what kind of site it is (a shop, a blog, an app…).

More about it: Wikidata, profiles, AI use, page facts

AI use

  • AI training: asks FacebookBot to stay away.
  • AI assistants: may read it for the people who ask them.
Show evidenceHide evidence
Exhibit 1 · robots.txt, line 91
User-agent: FacebookBot · Disallow: /
Is this wrong? Report it

What its robots.txt and robots tags ask of AI crawlers. Each crawler chooses whether to follow it.

Site name
Not given
Language
Not given
What it tells search engines
None

Read from what the page says about itself; we haven’t checked whether it’s true.

Was this answer right?

Built with AI?

AI Website Detector

No AI builder traces found.

We look for what AI site builders such as Lovable, Bolt and v0 leave in a page. Code written with an AI assistant such as Cursor, Claude Code or ChatGPT leaves nothing to find, so we can’t tell whether AI helped.

AI traces: None found

How we know

AI site builders leave traces in the sites they make. We look for the traces of 53 of them and show every match with the line it came from, so you can check it yourself.

We test this on 2,275 sites whose makers we know, and publish what we get wrong.

How we test it · Every builder we know · How to tell if a site was built with AI

Was this answer right?

AI access

AI Crawler Checker

AI can find it, but not yet read it well: it scores 30 of 100.

It keeps 1 AI training crawler out, and lets AI assistants in: the site’s choice, never scored.

30of 100

AI readiness

Findable

Search engines may list it and crawlers may read it.

  1. Findable
  2. 3AI-friendly
  3. 4Agent-ready

To reach Readable:Text without scripts +25Title and description +15

Can AI find it?

30/32

Can AI read it?

0/58

Can agents use it?

0/10

Optional: for sites with an API or a sign-in.

Below the median of the 2,439 most visited sites we read, which is 72.

Checked 1 Nov 2026

What to fix

3 fixes, up to +52 points

  • Text without scripts

    Now None: scripts draw the page.

    Put the page’s text in its HTML, rendered on the server or at build time.

    Details

    Why it matters: Most AI crawlers don’t run scripts: they read only what the HTML holds.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    The home page of https://auctionninja.com sends no text before its scripts run, so AI crawlers that don’t run JavaScript see an almost empty page. Make the server send the page’s content in its HTML: render it on the server, or prerender each page at build time (static generation), so its headings, text and links are in the HTML before any script runs. Keep the interactive parts working as they do now.
    +25points

  • Title and description

    Now Neither.

    Give the home page a title and a meta description in its HTML.

    Details

    Why it matters: A title and a description are the words AI tools and search engines quote first.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    Give the home page of https://auctionninja.com a descriptive <title> and a <meta name="description" content="…"> of about 150 characters that says what the site is and offers (we found: neither). Put both in the HTML the server sends, not set later by scripts.
    +15points

  • Structured data

    Now None found.

    Add schema.org structured data, as JSON-LD, to the home page’s HTML.

    Details

    Why it matters: Structured data tells AI tools and search engines what the site is: a company, a shop, a product.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    Add schema.org structured data to the home page of https://auctionninja.com as JSON-LD, in a <script type="application/ld+json"> tag in its HTML: an Organization with its name, url, logo and sameAs links to its official profiles, and a WebSite with its name and url. Add the type that fits what the site offers too, such as Product, Article or LocalBusiness. Use only facts that are true of the site.
    +12points
Optional: 4 fixes few sites have yetup to +18 points

  • Files for AI agents

    Now None of the 8 we look for.

    If agents could use the site, publish what they need where they look.

    Details

    Why it matters: Agents act for people: they look for these files to know what a site lets them do. Worth it only if agents can use the site.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    If AI agents could use https://auctionninja.com for its visitors (to search it, book, buy or sign in), publish what they need at the standard addresses, and only what the site really offers: an MCP server card at /.well-known/mcp/server-card.json if it runs an MCP server, an API catalog at /.well-known/api-catalog (RFC 9727) listing its public APIs, and OAuth protected resource metadata at /.well-known/oauth-protected-resource (RFC 9728) if agents sign in.
    +10optional

  • llms.txt

    Now None found.

    Publish a short Markdown summary of the site at /llms.txt.

    Details

    Why it matters: A short summary for AI models, at an address they can find. A proposal: few AI companies say they read it yet.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    Create https://auctionninja.com/llms.txt as llmstxt.org describes it: a Markdown file with an H1 naming the site, a one-paragraph summary in a blockquote, and short sections listing its most useful pages as links, each with a line on what it holds. Serve it as text/plain or text/markdown.
    +4optional

  • Markdown copy

    Now Not offered: it sends the page’s HTML.

    Answer requests for Markdown with a Markdown version of the page.

    Details

    Why it matters: A Markdown copy gives AI tools the page’s words without the HTML around them.

    Prompt for your coding assistant (Claude Code, Cursor, your builder’s chat)
    When a request to https://auctionninja.com asks for Markdown (its Accept header includes text/markdown), answer with a Markdown version of the page’s main content and the header Content-Type: text/markdown. Requests for HTML keep getting HTML; add Vary: Accept so caches keep the two apart.
    +2optional
Every check, with its evidence

Can AI find it?

  • robots.txtFound, 92 linesFound
  • SitemapAt the usual address, not listed in robots.txt; it lists 320 pagesFound
  • Links for AI toolsNone in the home page’s headersNot found
  • Search listingAllowed: no noindex ruleAllowed

Can AI read it?

  • Text without scriptsNone: scripts draw the pageNot found
  • Markdown copyNot offered: it sends the page’s HTMLNot found
  • llms.txtNone foundNot found
  • Title and descriptionNeitherNot found
  • Structured dataNone foundNot found

Can agents use it?

  • API catalogNone foundNot found
  • Sign-in for AI agentsNone foundNot found
  • Auth.mdNone foundNot found
  • AI catalogNone foundNot found
  • MCP serverNone foundNot found
  • Agent cardNone foundNot found
  • Agent SkillsNone foundNot found
  • Agents in DNSNone foundNot found

What it lets AI do

Not scored

Keeping AI out is the site’s choice, so it never lowers the score.

  • AI trainingMeta partly; the rest let inPartly
  • AI answers and searchOpenAI, Anthropic, Google, Perplexity and 3 moreLet in
Every AI crawler, and how we checked

AI companies

  • OpenAIChatGPTTo train its modelsLet inGPTBotTo answer people and searchLet inOAI-SearchBotChatGPT-User
  • AnthropicClaudeTo train its modelsLet inClaudeBotanthropic-aiClaude-WebTo answer people and searchLet inClaude-SearchBotClaude-User
  • GoogleGeminiTo train its modelsLet inGoogle-ExtendedTo answer people and searchLet inGoogle-CloudVertexBot
  • PerplexityTo train its modelsNone namedTo answer people and searchLet inPerplexityBotPerplexity-User
  • MetaMeta AITo train its modelsPartlymeta-externalagentlet inFacebookBotline 91, kept outTo answer people and searchLet inmeta-externalfetchermeta-webindexer
  • AppleApple IntelligenceTo train its modelsLet inApplebot-ExtendedTo answer people and searchNone named
  • AmazonTo train its modelsLet inAmazonbotTo answer people and searchLet inAmzn-SearchBotAmzn-User
  • Common Crawlopen data for trainingTo train its modelsLet inCCBotTo answer people and searchNone named
  • ByteDanceTo train its modelsLet inBytespiderTikTokSpiderTo answer people and searchNone named
  • MistralLe ChatTo train its modelsNone namedTo answer people and searchLet inMistralAI-User

None of the 27 other AI crawlers we know is kept out.

What it tells AI crawlers

It gives no Content Signals and no “noai” tag.

Like 29% of the 417 popular sites whose robots.txt we’ve read since 29 Oct 2026, it keeps at least one AI training crawler out. Of the 529 popular sites we’ve checked since 29 Oct 2026, 9% have a page drawn by scripts, 2% send a Markdown copy, 9% have an llms.txt and 3% offer a file for AI agents. How many websites block AI crawlers?

We read the site once, as our named bot: its robots.txt, read as crawlers read it, its home page and the files AI tools ask sites for. What we couldn’t read says so. robots.txt asks and doesn’t enforce: a firewall can treat AI crawlers differently from us.

Was this answer right?

Score breakdown

Site Score

83 of 100: strong trust signals.

How established and checkable it is; AI traces carry no weight.

83of 100
Track recordHow long the domain has existed25 / 25
PopularityIts place in public rankings20 / 20
Security and setupHTTPS and standard protections13 / 15
ConsistencyName, description and what it tells search engines0 / 10

Scored on the parts we could check.

Why each part scored what it did
Track recordHow long the domain has existed25 / 25domain registered 24 years ago
PopularityIts place in public rankings20 / 20Top 10K in a popularity list
Security and setupHTTPS and standard protections13 / 15loads over HTTPS · sends visitors to HTTPS · doesn’t insist on HTTPS · protective settings
ConsistencyName, description and what it tells search engines0 / 10site name differs from the domain · no description · doesn’t tell search engines what it is

A high score isn’t a promise that a business is honest. How the score works.

Was this answer right?

Domain history

Domain History

Registered in 2002; first archived in 2005.

  1. Domain registeredRDAP
  2. First captured by the web archiveInternet Archive
  3. First certificate issuedCertificate Transparency
  4. This scanCheckAnySite

In the web archive: captured in 15 of 22 years · see the first capture

  1. 2005: captured
  2. 2006: no capture
  3. 2007: no capture
  4. 2008: no capture
  5. 2009: no capture
  6. 2010: no capture
  7. 2011: no capture
  8. 2012: no capture
  9. 2013: captured
  10. 2014: captured
  11. 2015: captured
  12. 2016: captured
  13. 2017: captured
  14. 2018: captured
  15. 2019: captured
  16. 2020: captured
  17. 2021: captured
  18. 2022: captured
  19. 2023: captured
  20. 2024: captured
  21. 2025: captured
  22. 2026: captured

No captures 2006–2012: the site may have been offline or parked then, or the archive didn’t visit.

Changes, earlier scans and alerts
Since our previous scan
This is our first scan of the site.
Was this answer right?

How we scanned it

Only from what anyone can see: the site’s public pages and public records.

  • Politely. Our scanner, CheckAnySiteBot, says who it is and follows the site’s robots.txt.
  • With sources. Every fact above says where it came from and when.
  • Without guessing. When we couldn’t check something, we say so.
This scan, in numbers

934 checks on 1 Nov 2026, with version 0.6.0 of our checks and version 1.1 of the score.

How we work · What each version changed · About our scanner

Quick look

Built with AI?

None foundWe found no AI builder traces.

“None found” never means “made by a person”: coding assistants leave no traces.

All the evidence →

Related

Quick look

How popular is it?

Top 10KBy the best of 3 public lists.

  • Tranco#19,120list of 27 Oct 2026
  • Chrome UX ReportTop 10,000Sep 2026
  • Majestic Million#363,162list of 28 Oct 2026

A popularity band, never a visit count.

The popularity section →

Related

Quick look

What is it built with?

Language
PHP

And 6 more around it (CDN, DNS, Email, Marketing), in the section.

Each with its evidence →

Related

Quick look

Which trust signals does it show?

On the site

  • Contact pageCouldn’t check
  • About pageCouldn’t check
  • Privacy policyCouldn’t check
  • TermsCouldn’t check
  • Refund or returns policyCouldn’t check
  • Contact detailsCouldn’t check
  • Company detailsCouldn’t check
  • Payment providersCouldn’t check
  • TrackersCouldn’t check

Behind the site

  • Security filterNoted
  • Domain registeredNoted
  • HTTPSFound
  • Security headersPartly
  • Software versionsNoted
  • NetworkNoted
  • Email setupFound
  • First certificateNoted
  • DNSSECNot found
  • Certificate authoritiesNot found
  • Security contactNot found

Signals, not a judgement: missing details are common on small, honest sites.

Every signal with its source →

Related

How has it changed? →
Quick look

How does it add up?

83of 100

Strong trust signals. An open formula (v1.1): every point comes from a finding above. AI traces carry no weight.

Track recordHow long the domain has existed25 / 25
PopularityIts place in public rankings20 / 20
Security and setupHTTPS and standard protections13 / 15
ConsistencyName, description and what it tells search engines0 / 10
Why each part scored what it did →

Related

Questions about auctionninja.com

How old is auctionninja.com?

Its domain was registered on 12 Jan 2002, 24 years ago. See the evidence

What is auctionninja.com built with?

It is built with PHP; we found 7 technologies in all. See the evidence

How popular is auctionninja.com?

It is among the top 10,000 sites, by Tranco, Chrome UX Report and Majestic Million. See the evidence

Was auctionninja.com made with AI?

We found no traces of an AI site builder. That doesn’t prove a person built it: AI coding assistants leave no traces. See the evidence

More sites near it in popularity

Automated findings from the site’s public home page and public records, as of 1 Nov 2026. They describe what we found, not the people or business behind the site, and they may be incomplete or out of date. This is information, not advice. Terms · Report an error

What this scan can’t tell you
  • Whether the business is real, honest or delivers what it sells.
  • Whether a site was made with AI when no traces were left: coding assistants and hand edits leave none.
  • How many people visit: we show popularity bands from public lists, not visits.
  • Anything beyond the home page as it was at the time of the scan.

Is this your site? Ask for a correction.

Share this result

Share auctionninja.com

The result describes what we found on 1 Nov 2026, with evidence.

Side by side

Compare with another site

AI traces, popularity, trust signals and the score, side by side.

Free scan · no sign-up

What do you want to find out?

Or check one thing:

Trywikipedia.orgstripe.combbc.co.uk

One scan answers everything: AI traces, popularity, technology, trust signals, how the site describes itself, a score and its history. A quick check only decides which answer comes first. We read public pages as CheckAnySiteBot and follow robots.txt.