Free AI visibility check

Be the brand AI trusts and recommends.

Track, analyze and improve your visibility on ChatGPTClaudeGeminiPerplexityCopilotGrok

Enter a domain. Qubebuild asks an answer engine 25 buy-intent questions and reports how often your brand is cited — and who is cited instead.

  • Free, no account
  • 25 queries, not one
  • Results in ~90 seconds

ChatGPTIllustrative

best sustainable outerwear brands for winter?

Most consistently recommended are Patagonia, Arc'teryx and Fjällräven. Your brandnot mentioned

Sources · outdoorgearlab.com · reddit.com · wirecutter.com

Type it to see where you sit in this answer.

Built for the future of search

ChatGPTClaudeGeminiPerplexityCopilotGrok

Stop guessing at your visibility.

Begin with production-grade building blocks.

Four steps, each one measurable. Nothing here is a projection — every number comes from a stored engine response you can read back.

  1. 01 — Detect

    It reads the store, not a form

    Platform, product categories, real price band, and whether Product, Offer and review markup exist — taken from your homepage and a product page. Nothing to fill in.

    Detected

    PlatformShopify
    Categoriesouterwear, base layers
    Price bandpremium · median $180
    Product schemapresent
    Review schemamissing
  2. 02 — Ask

    Five questions a buyer would actually type

    Discovery, comparison, validation, shortlist, and one attribute question built from your own strongest claim. Each runs five times, because answers vary between runs.

    • DISCOVERY

      best sustainable outerwear for winter

    • COMPARISON

      Patagonia vs your brand

    • VALIDATION

      is your brand worth the money

    • SHORTLIST

      top outerwear brands 2026

    • ATTRIBUTE

      outerwear made without PFCs

  3. 03 — Score

    A frequency, not a yes or no

    A citation rate out of twenty-five, and the same rate for three competitors detected from your own site — so the number is a distance, not an abstraction.

    • Patagonia19/25
    • Arc'teryx14/25
    • Fjällräven9/25
    • You2/25
  4. 04 — Act

    The domains cited instead of you

    Every source the engine read to build its answer, ranked by how often it appeared. That list is the outreach target list, in priority order.

    • 01outdoorgearlab.com9×
    • 02reddit.com7×
    • 03wirecutter.com5×
    • 04treehugger.com4×

Three steps, ninety seconds.

  1. 01

    It reads your store

    The checker fetches your homepage and a product page, then detects your platform, categories, real price band, and whether Product, Offer and review markup exist. No form to fill in.

  2. 02

    It asks what buyers ask

    Five buy-intent prompts generated from those signals — discovery, comparison, validation, shortlist, and one attribute question built from your own strongest claim. Each runs five times.

  3. 03

    It counts, and shows its work

    A citation rate out of 25, the same rate for three detected competitors, and the ranked list of domains cited instead of you. Every raw response is stored.

What clients say.

  • We were ranking fine and still never came up when someone asked ChatGPT for the best merino base layer. The scan showed us cited in 3 of 25 answers and named the four review sites that were being read instead. That list was the whole plan.
    Client nameHead of Growth, DTC outerwear brand
  • The useful part was being able to read the actual answers. Not a score out of a hundred, but the sentence where a competitor got recommended and we did not. Nobody on the team argued with it after that.
    Client nameFounder, Skincare brand
  • Thirty days later we re-ran the same twenty-five prompts and went from 4 to 11. Same questions, same engine, so it was a real comparison rather than a new report with different numbers.
    Client nameEcommerce Director, Home goods brand

Questions people ask.

How is this different from SEO?
SEO optimises for a ranked list of links; this measures whether a brand appears inside a generated answer. An AI engine reads a handful of sources and writes one response, so there is no position two — a brand is either named in the answer or it is not. The work that moves the result is entity clarity, comparison coverage, and third-party citations, which overlaps with SEO but is scored differently.
Why does the same question give different answers?
Answer engines sample from a language model and re-run retrieval on each request, so two identical questions can return different brands minutes apart. This is why a single check is not evidence. Qubebuild runs each prompt five times and reports how many of the 25 total runs cited the brand, which is a stable measure that survives the variance.
Which engines do you check?
The free check runs on Perplexity, which exposes its citations cleanly and is the cheapest engine to sample at volume. The full report covers six engines: ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Mode. Queries are run through consumer-facing surfaces rather than raw model APIs, because the API and the consumer product use different retrieval and return different citations.
How do I get cited more?
Three things move the number: publish structured data that resolves the brand as an entity, create pages that answer comparison and shortlist questions directly, and earn mentions on the third-party sources the engine already cites in your category. The scan shows which domains were cited instead of you, and those domains are the specific list to go and appear on.
Is this free?
The check is free and no payment details are requested. The score and the competitor gap are shown immediately. The full 20-prompt, six-engine report is sent by email, and submitting that email also joins the beta list for the dashboard.
How long until AI picks up changes?
Changes that depend on a site's own pages — structured data, comparison content, clearer entity signals — typically appear in answers within two to six weeks, as the engine's index refreshes. Changes that depend on third-party sources take longer, because they only register once the source publishes and is itself re-crawled. Re-scanning on a fixed schedule is the only reliable way to see it move.

Start with the number.

Free, no account, and the raw engine responses are kept so the finding can be re-read rather than trusted.

  • Free, no account
  • 25 queries, not one
  • Results in ~90 seconds