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ShowUp Labs / AI visibility reports

AI visibility, measured across 44 well-known sites

Every one of these was scanned the same way we scan a customer: real buyer questions for their own category, asked of a live answer engine, plus direct technical checks on the site. Being a household name turns out to be no protection at all.

Automated measurement of public websites, most recently 2026-08-26. We test whether answer engines can reach, read and quote a site, and whether they name it when buyers ask questions in its category. We are not rating these businesses. Work at one of them and think a reading is wrong? Tell us and we will re-run it.
Sites measured
44
Average AI score
51/100
Named in zero answers
6

What this set shows

6 of 44 well-known sites were named in none of the buyer questions we asked in their own category. 19 scored 60 or above. Size and brand recognition are not the same thing as being the answer an engine gives, which is the whole reason this measurement exists. [Figure withdrawn 26 Aug 2026 pending re-measurement, why.]

Every report

Sorted by AI search score. Click any brand for the full reading: the questions asked, who was named instead, and which technical checks failed.

BrandAI searchSEONamed in
Stripe 79 81 6/6
HubSpot 78 86 5/6
Xero 76 86 6/6
Calendly 74 86 6/6
Wise 71 71 6/6
QuickBooks 70 86 6/6
Purplebricks 69 91 5/6
Gousto 69 86 6/6
Wix 68 79 6/6
Asana 65 86 5/6
Canva 65 43 6/6
HelloFresh 65 81 6/6
Octopus Energy 64 91 6/6
Squarespace 64 76 5/6
Zendesk 63 81 5/6
Starling Bank 62 86 4/6
Cloudflare 61 86 4/6
Shopify 61 76 5/6
Webflow 61 76 5/6
Figma 59 86 5/6
Loom 59 86 4/6
Monzo 59 90 4/6
Trello 58 81 5/6
Typeform 58 86 4/6
Monday.com 57 82 4/6
Rightmove 57 76 5/6
Slack 48 86 2/6
Intercom 48 90 3/6
Mailchimp 46 91 3/6
ClickUp 45 73 3/6
Bulb 42 35 3/6
Deliveroo 42 81 3/6
Notion 35 86 2/6
Vercel 35 86 2/6
Miro 31 86 1/6
Checkatrade 31 90 2/6
Linear 27 91 1/6
Airtable 25 76 1/6
FreeAgent 19 86 0/6
Tide 17 81 0/6
Sage 17 76 0/6
Gymshark 12 35 0/6
GoCardless 11 90 0/6
Represent 9 50 0/6

How this was measured

Buyer questions are generated for each site's own category and grounded in live web search, then asked of an answer engine, recording which brands it names. Technical checks are direct fetches and HTML parsing rather than model guesses, and a check we cannot measure is left out of the score rather than counted as a failure. A site that refused our fetcher, or where live search returned nothing, is left out of this list entirely rather than published with a number we do not trust.

Scores move as the web changes. Every reading is dated, and each page says when it was taken.

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