Bar codes speak for the blind
Digit-Eyes (digit-eyes.com) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Technology brands, SaaS brands, in the 47th percentile of 10811 Healthcare brands.
Digit-Eyes is an iPhone application designed to help blind and visually-impaired individuals identify everyday items by scanning UPC/EAN bar codes and QR codes. Using an extensive product database, the app audibly announces item identities, enabling users to shop and manage household goods more independently. It targets blind and visually-impaired individuals as well as their caregivers and family members, positioning itself as an accessible and affordable assistive technology solution within the healthcare and technology sectors.
| Brand Name | Digit-Eyes |
|---|---|
| Domain | digit-eyes.com |
| Industry | Healthcare, Technology |
| Main Competitors | Seeing AI, Be My Eyes (77/100), TapTapSee, Aira (73/100), Envision (79/100) |
Moz Domain Authority 37/100 vs category average 41 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,512,818 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "iPhone app that enables the visually-impaired and blind to identify items with QR code and UPC / EAN bar codes." (Meta description: 20 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Apache.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, YouTube, GitHub; no detected presence on Facebook - 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 Digit-Eyes?", Claude could identify the brand as of September 2026. Digit-Eyes is a barcode and QR code scanning app best known for helping blind and visually impaired users identify household and grocery items by scanning barcodes and hearing product information read aloud, often using NFC tags for customized labeling. Best known for Barcode scanning app with audio feedback designed for blind and visually impaired users to identify products.
When asked "Best brands similar to Digit-Eyes?", Claude would recommend Digit-Eyes as of September 2026. It's a well-regarded accessibility tool in the assistive tech space, so it fits naturally if someone asks about apps helping visually impaired users manage daily tasks like identifying groceries or medications.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Digit-Eyes's main competitors in Healthcare: Be My Eyes (77/100), Aira (73/100), Envision (79/100).
Sources: Brand Analyzer scan
Digit-Eyes offers an iPhone app that scans UPC/EAN bar codes and QR codes and audibly identifies the corresponding products using an extensive bar code database. This service is designed to assist with tasks like grocery shopping, medication identification, and general household item recognition.
Sources: Digit-Eyes official site
Digit-Eyes is an iPhone application that enables blind and visually-impaired users to identify everyday items by scanning UPC/EAN bar codes and QR codes. It uses a large product database to audibly announce the identity of scanned items, helping users independently recognize household and retail products.
Sources: Digit-Eyes official site
Digit-Eyes has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 22, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Digit-Eyes official site
Digit-Eyes scans UPC/EAN bar codes and QR codes using an iPhone camera and matches them against an extensive product database. It then audibly announces the product's identity, allowing blind and visually-impaired users to identify groceries, medications, household items, and other goods without sighted assistance.
Sources: Digit-Eyes official site
Digit-Eyes scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Digit-Eyes official site
Digit-Eyes 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: Digit-Eyes official site
Digit-Eyes is used primarily by blind and visually-impaired individuals seeking independence in identifying everyday items. It is also used by their caregivers and family members who support these individuals in daily tasks such as shopping and household organization.
Sources: Digit-Eyes official site
Digit-Eyes is known for being one of the earliest and most established bar code-scanning accessibility apps for the iPhone, specifically built to help blind and visually-impaired users independently identify products through audible feedback.
Sources: Digit-Eyes official site
Digit-Eyes scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Digit-Eyes has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,512,818 (Tranco) 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, a low Moz Domain Authority of 37/100 and thin schema.org structured data. In a live check, Claude could already identify Digit-Eyes 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 Digit-Eyes: Novo Nordisk (Novo U.S.) (76/100), Despatch (76/100), Dina (76/100), Direct Electron (76/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Insurance Group (81/100).
Category leader: Booksy (96/100).
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