Turn receipts into cash rewards
Receipt Hog (receipthog.com) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, Finance brands, Other brands, in the 60th percentile of 20031 E-commerce brands.
Receipt Hog is a mobile app that rewards users with cash for scanning receipts from everyday shopping, whether purchases are made online or in physical stores. Operating since 2011, the app is designed to be simple and engaging, allowing shoppers to earn extra income with minimal effort regardless of where or what they buy. It targets everyday consumers seeking an easy way to turn routine purchases into rewards.
| Brand Name | Receipt Hog |
|---|---|
| Domain | receipthog.com |
| Industry | E-commerce, Finance |
| Founded | 2011 |
| Main Competitors | Fetch Rewards (85/100), Ibotta (91/100), Rakuten (77/100), Shopkick (73/100), Swagbucks (86/100) |
Moz Domain Authority 52/100 vs category average 42 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Receipt Hog is a fun and rewarding way to turn receipts from everyday shopping into cash - no matter where you shop or what you buy! Download Now!" (Meta description: 28 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, 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: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on Instagram, X (Twitter); no detected presence on Facebook, 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 October 2026.
When asked "What is Receipt Hog?", Claude could identify the brand as of October 2026. Receipt Hog is a mobile app that rewards users with points (coins) for scanning and uploading receipts from everyday purchases, which can later be redeemed for cash via PayPal or gift cards. Best known for Rewarding users with points for scanning everyday shopping receipts.
When asked "Best brands similar to Receipt Hog?", Claude would recommend Receipt Hog as of October 2026. It's a well known receipt-scanning rewards app often mentioned alongside similar cashback and survey apps like Fetch Rewards or Ibotta.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Receipt Hog's main competitors in E-commerce: Fetch Rewards (85/100), Ibotta (91/100), Rakuten (77/100), Shopkick (73/100), Swagbucks (86/100).
Sources: Brand Analyzer scan
Receipt Hog offers a mobile application that allows users to scan receipts from online and in-store purchases in exchange for cash rewards. The service works across all types of retailers and purchases, providing a single platform for turning everyday shopping into rewarded income.
Sources: Receipt Hog official site
Receipt Hog is a mobile rewards app that allows users to earn cash by scanning receipts from everyday shopping, regardless of where or what they purchase. It has been operating since 2011 and positions itself as a fun, simple, and trusted way to turn routine purchases into extra income.
Sources: Receipt Hog official site
Receipt Hog has limited AI-search visibility, scoring 27/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 40, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Receipt Hog official site
Receipt Hog lets users scan or upload receipts from online or in-person purchases to earn cash rewards. The app works across any store and purchase type, turning everyday shopping activity into a source of extra income with minimal effort from the user.
Sources: Receipt Hog official site
Receipt Hog scores 58/100 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.
Sources: Receipt Hog official site
Receipt Hog is known for letting shoppers earn cash simply by scanning their shopping receipts, regardless of the store or product purchased. It has built a reputation since 2011 as a fun and accessible way to convert everyday purchases into rewards.
Sources: Receipt Hog official site
Receipt Hog 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: Receipt Hog official site
Receipt Hog is used by everyday shoppers who want an easy and enjoyable way to earn extra cash from purchases they already make, whether shopping online or in physical stores.
Sources: Receipt Hog official site
Receipt Hog is popular because it offers a simple, low-effort way for everyday shoppers to earn cash rewards just by scanning receipts, regardless of where they shop or what they buy. Its fun and accessible approach, combined with a long operating history since 2011, contributes to its appeal among value-conscious consumers.
Sources: Receipt Hog official site
Receipt Hog scores 27/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Receipt Hog has a weak AI-visibility profile at 27/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (58/100) and its weakest is visibility (0/100). It benefits from a Moz Domain Authority of 52/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify Receipt Hog from memory (October 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 Receipt Hog: ReBound (79/100), Rebel Sport (79/100), RedShelf (79/100), Red Stag Fulfillment (79/100).
A step up - brands to learn from: ZuPreem (81/100), Zulay Kitchen (81/100).
Category leader: DHL (97/100).
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