Free AI visibility check
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.
ChatGPTIllustrative
best sustainable outerwear brands for winter?
Most consistently recommended are Patagonia, Arc'teryx and Fjällräven. Your brand — not mentioned
Sources · outdoorgearlab.com · reddit.com · wirecutter.com
Type it to see where you sit in this answer.
Built for the future of search
Stop guessing at your visibility.
Four steps, each one measurable. Nothing here is a projection — every number comes from a stored engine response you can read back.
01 — Detect
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
02 — Ask
Discovery, comparison, validation, shortlist, and one attribute question built from your own strongest claim. Each runs five times, because answers vary between runs.
best sustainable outerwear for winter
Patagonia vs your brand
is your brand worth the money
top outerwear brands 2026
outerwear made without PFCs
03 — Score
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.
04 — Act
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.
DetectIllustrative
Detected
Stop guessing why you are not cited.
Each one is fixable, and each one has an agent whose whole job is fixing it.
AI engines answer from a model of entities, not a list of pages. If a brand has no Organization, Product, or Offer structured data, no consistent name and description across its own pages, and no sameAs links to the profiles that confirm it exists, the engine has nothing stable to attach a recommendation to. It will describe the category and name the brands it can resolve instead.
Entity ArchitectAtlasA large share of buy-intent questions are comparative: one brand against another, or a ranked shortlist. Answer engines assemble those responses from pages that already make the comparison explicitly. A brand with only product pages and a blog about its own values gives the engine nothing to quote in a comparison, so the comparison gets built from the review sites and roundups that do make it.
Comparison WriterJunoAnswer engines weight independent sources more heavily than a brand's own domain, because a brand describing itself is not evidence. When a brand is absent from category roundups, editorial reviews, forum threads, and retailer listings, there is no corroborating source to cite. The engine will still answer the question — it will simply cite the competitors that third parties have written about.
Citation ScoutOrionThe 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.
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.
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.
“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.”
“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.”
“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.”
DTC brands and online stores
Buyers ask answer engines for product recommendations before they ever reach a category page.
B2B software and tools
Software buying starts with 'best tool for X', 'X vs Y' and 'alternatives to X'.
Protocols, wallets and infrastructure
In crypto the failure is rarely silence — it is being described wrongly.
Mobile and consumer products
App discovery has moved from store search to 'what's the best app for X'.
Free, no account, and the raw engine responses are kept so the finding can be re-read rather than trusted.