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AI agents treat Fetch as a grocery rewards default, while competitors contest direct cash-back and gas searches.

The baseline visibility is solid across major assistants, but preserving your position requires winning queries beyond simple paper receipt scanning.

Fetch's baseline score
76/100
Good

Fetch commands strong visibility across AI models as a top recommendation for receipt scanning and effortless grocery rewards. Claude and ChatGPT name Fetch reliably on broad cashback lists, though Ibotta edges ahead on queries focused on high-payout rebates. Gaps appear around specific shopping niches like gas cashback and merchant-specific card-linked offers.

What we see
  • AI assistants frequently pair Fetch with Ibotta as a default dual-app recommendation for grocery shoppers.
  • Claude and Gemini reliably classify Fetch as the lowest-friction receipt scanner because it does not require activating individual rebates prior to checkout.
  • AI models under-index Fetch when users specifically ask for cash or PayPal payouts, directing them instead toward Ibotta, Upside, or Rakuten.
  • Mentions drop significantly on queries focused on online shopping browser extensions, where Rakuten and Capital One Shopping dominate AI responses.
Business goals Fetch is likely trying to hit
  • Drive daily active app sessions through Fetch Play mobile gaming rewards
  • Sign up more consumer packaged goods brands for sponsored bonus point promotions
  • Increase user email linking to capture digital receipts from e-commerce platforms
  • Defend user market share against rebate-heavy competitors like Ibotta

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