Your everyday, rewarded
Fetch (fetch.com) scores 87 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among E-commerce brands, Finance brands, Other brands, in the 94th percentile of 20031 E-commerce brands.
Fetch (fetch.com) is a rewards app that allows users to earn points by scanning everyday receipts from purchases such as groceries, shopping, and games. Points accumulated can be redeemed for free gift cards. The service targets everyday shoppers, families, and budget-conscious consumers seeking rewards for routine spending, positioning itself as a simple, low-effort way to turn purchases into tangible rewards.
| Brand Name | Fetch |
|---|---|
| Domain | fetch.com |
| Industry | E-commerce, Finance |
| Main Competitors | Ibotta (91/100), Rakuten (77/100), Shopkick (73/100), Checkout 51 (82/100), CoinOut (77/100) |
Moz Domain Authority 55/100 vs category average 42 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #40,046 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Fetch appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Turn your everyday receipts into gift cards with Fetch. Earn points on groceries, shopping, and games - then redeem for free gift cards. Get started free" (Meta description: 26 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: WordPress.
Social footprint: verified profiles on Instagram, Facebook, X (Twitter), LinkedIn, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Fetch?", Claude could identify the brand as of September 2026. Fetch (fetch.com, formerly Fetch Rewards) is a mobile app that rewards users with points for scanning receipts from any store or uploading e-receipts, which can be redeemed for gift cards and other rewards. Best known for Scan-your-receipt rewards app that gives points for everyday purchases regardless of store.
When asked "Best brands similar to Fetch?", Claude would recommend Fetch as of September 2026. It's one of the most popular receipt-scanning rewards apps in the US, so it's a natural mention for cashback or shopping rewards recommendations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Fetch's main competitors in E-commerce: Ibotta (91/100), Rakuten (77/100), Shopkick (73/100), Checkout 51 (82/100), CoinOut (77/100).
Sources: Brand Analyzer scan
Fetch offers a receipt-scanning rewards program where users earn points for purchases in categories such as groceries, shopping, and games, which can be redeemed for free gift cards.
Sources: Fetch official site
Fetch is a rewards app that lets users earn points by scanning receipts from everyday purchases, which can then be redeemed for free gift cards.
Sources: Fetch official site
Fetch has limited AI-search visibility, scoring 46/100 on Brand Analyzer's AI visibility composite (visibility 43, trust 29, recommendation 73). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Fetch official site
Fetch allows users to scan receipts from groceries, shopping, and games to earn points, which can be redeemed for free gift cards.
Sources: Fetch official site
Fetch scores 73/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest E-commerce options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Fetch official site
Fetch can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Fetch official site
Fetch is used by everyday shoppers, families, and budget-conscious consumers who want to earn rewards from routine purchases such as groceries and shopping.
Sources: Fetch official site
Fetch is known for turning everyday receipts into points that can be redeemed for gift cards, with a large base of positive user reviews.
Sources: Fetch official site
Fetch is popular because it offers an easy, low-effort way for everyday shoppers to earn rewards from routine purchases like groceries and shopping, and it has received high user ratings and numerous positive reviews.
Sources: Fetch official site
Fetch scores 46/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Fetch has a limited AI-visibility profile at 46/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (73/100) and its weakest is trust (29/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #40,046 (Tranco) and a Moz Domain Authority of 55/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Fetch from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Fetch: Fanatics (87/100), Fabletics (87/100), FINN (87/100), Fishbowl (87/100).
A step up - brands to learn from: Zoom (91/100), Zappos (91/100).
Category leader: DHL (97/100).
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