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.

Electric kettles: Week of Oct 19, 2026

9 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.

Fellow

Rank 1 · 50% of answers
Dopbot Index badge for Fellow in Electric kettles
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OXO

Rank 2 · 40% of answers
Dopbot Index badge for OXO in Electric kettles
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Cuisinart

Rank 3 · 40% of answers
Dopbot Index badge for Cuisinart in Electric kettles
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Bonavita

Rank 4 · 40% of answers
Dopbot Index badge for Bonavita in Electric kettles
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Cosori

Rank 5 · 40% of answers
Dopbot Index badge for Cosori in Electric kettles
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Hamilton Beach

Rank 6 · 20% of answers
Dopbot Index badge for Hamilton Beach in Electric kettles
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Breville

Rank 7 · 20% of answers
Dopbot Index badge for Breville in Electric kettles
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Brewista

Rank 8 · 20% of answers
Dopbot Index badge for Brewista in Electric kettles
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Hario

Rank 9 · 20% of answers
Dopbot Index badge for Hario in Electric kettles
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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.