Found Research
November 2026

ChatGPT Shopping Report, November 2026: AI Names 31% Fewer Brands for Gift Ideas

When shoppers ask ChatGPT, Perplexity or Google AI Overviews for gift ideas, the answers name 31% fewer brands than for any other shopping question: 1.47 brands per answer against 2.12. Found by Flux measured this across 372,769 AI answers and 2,544 ecommerce brands.

372,769 AI answers · 2,544 brands · 66 lists · AU, US, UK
31%

fewer brands named when shoppers ask AI for gift ideas

1.47
tracked brands named per gift answer, against 2.12 for other questions
37.2%
of gift answers name no tracked brand, against 30.2%
24 of 39
lists where gift answers name fewer brands
74%
fewer pet brands named in gift answers, the widest gap of any category
Key findings

Free to quote. Please credit Found by Flux and link to this page.

  1. When shoppers ask ChatGPT, Perplexity or Google AI Overviews for gift ideas, the answers name 31% fewer brands than for other shopping questions: 1.47 tracked brands per answer against 2.12.
  2. 37.2% of AI gift answers name no tracked brand at all, against 30.2% of other shopping answers.
  3. Gift answers name fewer brands in 24 of 39 ecommerce categories that include gift questions.
  4. Pet is hit hardest. AI gift answers name 74% fewer pet brands: 0.41 per answer against 1.60.
  5. Beauty is the exception. AI gift answers name more beauty brands: 4.11 per answer against 2.53.
  6. 70.8% of 2,544 tracked ecommerce brands appear in fewer than 5% of AI shopping answers for their category.

Source: Found by Flux, ChatGPT Shopping Report, November 2026. 372,769 AI answers across 66 category lists in Australia, the US and the UK.

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Tracked brands named per AI answer, gift questions against all other questions, 25 October to 8 November 2026.
Tracked brands named per AI answer, gift questions against all other questions, 25 October to 8 November 2026.
Gift questions are where shoppers are closest to buying, and they are where AI is least likely to name a brand. If your pages don't say who a product is for, what it costs and when it arrives, the answer goes to a product type instead of you.
Adam Tregear, Founder, Flux

AI gift answers name 31% fewer brands

Found by Flux split every tracked shopping question into two groups: gift questions, which ask for gift or present ideas, and everything else, which covers best-of, comparison, alternative and problem-led questions. For each answer, it counted how many brands from that category's list were named.

  • Gift answers named 1.47 tracked brands on average. Other answers named 2.12.
  • 37.2% of gift answers named no tracked brand, against 30.2% of other answers.
  • Gift answers named fewer brands in 24 of 39 categories.

Pet brands lose the most in gift answers. Beauty brands gain.

The gap is widest in Pet. Gift answers named 0.41 pet brands on average, against 1.60 for other pet questions: 74% fewer.

Beauty runs the other way. Gift answers named 4.11 beauty brands, against 2.53 for other beauty questions. Branded gift sets are common in Beauty, which is a likely reason.

What this means for brands this Christmas

A shopper asking for gift ideas is close to buying. When the AI answer names no brand, that shopper moves on to search or a marketplace, and a brand missing from the answer has to win them back there. To be named in gift answers, a brand needs pages that answer gift questions directly: who the product suits, gift sets, price bands and delivery cut-off dates.

How November compares with October

Across all 66 category lists in the 8 November 2026 scan:

  • 70.8% of 2,544 brands appear in fewer than 5% of the AI answers for their category, down from 72.6% in October.
  • 101 brands were never named, down from 149.
  • The median brand appears in 2.05% of answers, up from 1.9%.
  • The top three brands in each list take 36.3% of brand mentions, against 37.4% in October.

The October figures are in the AI Brand Visibility Report, October 2026. Brand-level rankings for every category are on the Found lists, updated weekly.

Methodology

Each list tracks the brands in one category and market. Every week, Found asks ChatGPT, Perplexity and Google AI Overviews the same shopping questions for that category and records every answer. A tracked brand is one on that category's Found list.

Gift questions are those that ask for gift or present ideas. 39 of the 66 lists include them. The gift comparison uses scans from 25 October to 8 November 2026. The wider figures use the 8 November 2026 scan.

Full detail is on the methodology page.

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Brand-level results as CSV. Free to reuse under CC BY 4.0 with credit to Found by Flux.

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Cite this study

Found by Flux (2026). ChatGPT Shopping Report, November 2026. flux.agency/found/research/chatgpt-shopping-november-2026

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FAQ

Does AI recommend brands when shoppers ask for gift ideas?

Less often than for any other shopping question. In Found by Flux's November 2026 data, gift answers from ChatGPT, Perplexity and Google AI Overviews named 1.47 tracked brands on average, against 2.12 for other questions, 31% fewer. 37.2% of gift answers named no tracked brand at all.

Which categories lose the most brand mentions in AI gift answers?

Pet. Gift answers named 0.41 pet brands on average, against 1.60 for other pet questions, 74% fewer. Gift answers named fewer brands in 24 of the 39 categories that include gift questions.

Which category gets more brand mentions in AI gift answers?

Beauty. Gift answers named 4.11 beauty brands on average, against 2.53 for other beauty questions.

How can a brand get named in AI gift answers?

Publish pages that answer gift questions directly: who the product suits, gift sets, price bands and delivery cut-off dates. AI answers draw on pages that state these facts plainly.

How was this measured?

Found by Flux asks ChatGPT, Perplexity and Google AI Overviews the same shopping questions for each category every week and records which tracked brands each answer names. The gift comparison uses scans from 25 October to 8 November 2026 across the 39 category lists that include gift questions.

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