Badges for brands

Show where AI assistants recommend your brand

If your brand is among the brands AI assistants recommend most in a category, you can put a Dopbot Index badge on your site. It shows the category, the share of sampled answers that recommend your brand and the week, and links to the full ranking.

Badges are available for brands that rank in the top 5 of a category, or are recommended in at least 20% of the sampled answers, in the latest update.

Bed sheets: Week of Oct 19, 2026

10 brands qualify for a badge. Link the badge to the category page, as the embed code does, so visitors can see the full ranking and the method.

Endy

Rank 1 · 30% of answers
Dopbot Index badge for Endy in Bed sheets
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Frette

Rank 2 · 20% of answers
Dopbot Index badge for Frette in Bed sheets
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Silk & Snow

Rank 3 · 20% of answers
Dopbot Index badge for Silk & Snow in Bed sheets
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Eddie Bauer

Rank 4 · 20% of answers
Dopbot Index badge for Eddie Bauer in Bed sheets
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L.L.Bean

Rank 5 · 20% of answers
Dopbot Index badge for L.L.Bean in Bed sheets
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Simons Maison

Rank 6 · 20% of answers
Dopbot Index badge for Simons Maison in Bed sheets
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Casper

Rank 7 · 20% of answers
Dopbot Index badge for Casper in Bed sheets
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Sferra

Rank 8 · 20% of answers
Dopbot Index badge for Sferra in Bed sheets
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Bare Home

Rank 9 · 20% of answers
Dopbot Index badge for Bare Home in Bed sheets
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QE Home

Rank 10 · 20% of answers
Dopbot Index badge for QE Home in Bed sheets
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What a badge means

  • The badge always shows the latest published result for the category. It updates whenever the category does (monthly: on the first Monday of the month in the US, the second Monday in Mexico and the third Monday in Canada) and can change or disappear: if your brand drops out of the qualifying range, or the category stops being indexed, the image stops loading.
  • It reports how often AI assistants named your brand in the answers we sampled. It is not an award, and it does not mean that OpenAI, Perplexity or any other AI company, or Dopbot, endorses your brand.
  • Numbers come from sampled API answers with web search on, which approximate but are not identical to what people see in consumer apps. Read the methodology.