AddALL Brand Score: 73/100 - Brand-Ready tier

Compare book prices instantly

AddALL (addall.com) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, Education brands, Media & Entertainment brands, in the 31st percentile of 12411 E-commerce brands.

AI Snapshot

AddALL (addall.com) is an online book search and price comparison engine that aggregates pricing data from over 100,000 booksellers. It allows users to compare prices for new, used, and textbooks by searching ISBN, author, or title. The free service is designed to help book buyers, especially students and budget-conscious readers, find the lowest available prices across many online retailers in a single search.

Key facts about AddALL

Brand Name	AddALL
Domain	addall.com
Industry	E-commerce, Education
Main Competitors	BookFinder (84/100), AbeBooks (94/100), Biblio (79/100), Alibris (69/100), BookScouter (88/100)

Evidence

Moz Domain Authority 55/100 vs category average 44 / 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 "The book search and book price comparison engine is built to ease online book shopping. One click to compare price among 100,000+ booksellers. Save your time and money by the free …" (Meta description: 33 words. 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, 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: Nginx.

Social footprint: verified profiles on Instagram, GitHub; no detected presence on Facebook, X (Twitter), LinkedIn, YouTube - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

Does AI know AddALL?

Live results from asking a general-purpose AI assistant about the brand, checked September 2026.

When asked "What is AddALL?", Claude could identify the brand as of September 2026. AddALL is a book price comparison website that lets users search for new, used, and out-of-print books across dozens of online retailers and marketplaces to find the best prices. Best known for Comparing book prices across multiple online bookstores like Amazon, Barnes & Noble, and used book marketplaces.

When asked "Best brands similar to AddALL?", Claude would recommend AddALL as of September 2026. It's a long-running, useful niche tool for book price comparison, so I'd mention it if someone specifically wanted to find the cheapest price for a book across retailers.

People Also Ask About AddALL

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are AddALL's main competitors?

AddALL's main competitors in E-commerce: BookFinder (84/100), AbeBooks (94/100), Biblio (79/100), Alibris (69/100), BookScouter (88/100).

Sources: Brand Analyzer scan

What products or services does AddALL offer?

AddALL offers a free book price comparison service covering new, used, and textbooks, searchable by ISBN, author, or title, drawing from a network of over 100,000 booksellers.

Sources: AddALL official site

What is AddALL?

AddALL is a free online book search and price comparison engine that helps users find the best prices for new, used, and textbooks by aggregating listings from over 100,000 booksellers.

Sources: AddALL official site

How visible is AddALL in AI search?

AddALL has low AI-search visibility, scoring 21/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 29, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.

Sources: AddALL official site

What does AddALL do?

AddALL searches and compares book prices across more than 100,000 online booksellers, allowing users to find the cheapest new, used, or textbook options by entering an ISBN, author, or title.

Sources: AddALL official site

Does ChatGPT recommend AddALL?

AddALL scores 50/100 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: AddALL official site

What is AddALL known for?

AddALL is known for its one-click price comparison feature that scans thousands of booksellers to find the lowest prices on books, including textbooks and used copies.

Sources: AddALL official site

How can AddALL improve its AI discoverability?

AddALL 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: AddALL official site

Who uses AddALL?

AddALL is used by students, avid readers, and budget-conscious book buyers who want to find the best deals on new, used, or textbook purchases.

Sources: AddALL official site

Why is AddALL popular?

AddALL is popular among students and budget-conscious readers because it offers a fast, free way to compare book prices across a vast network of over 100,000 booksellers, helping users save both time and money.

Sources: AddALL official site

Recommendations

• Establish your social media presence - Create profiles on major platforms (LinkedIn, X, Instagram, Facebook, YouTube) using a consistent handle derived from your brand name. Link to them from your website footer. (impact: medium, effort: quick_win)
• Add privacy policy and terms - Publish privacy policy and terms of service pages on your website. Free generators are available online. (impact: medium, effort: quick_win)
• Add an FAQ section - Create a Frequently Asked Questions section with FAQ schema markup. AI systems often source answers directly from FAQ content. (impact: medium, effort: moderate)
• Build a content ecosystem - Add a blog, documentation, or help center to your website. A rich content ecosystem signals brand maturity and authority. (impact: medium, effort: major)
• Consider multi-language support - Add hreflang tags or a language switcher to serve international audiences. This signals global brand reach. (impact: low, effort: major)

AI visibility

AddALL scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

AddALL has a weak AI-visibility profile at 21/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (0/100). It benefits from a Moz Domain Authority of 55/100 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 AddALL from memory (September 2026) - a sign these signals are paying off.

Visibility - 0/100

• Wikipedia presence - 0/40
• Wikidata entity - 0/25
• Web popularity (Tranco) - 0/20
• Reddit visibility - 0/15

Trust - 29/100

• Domain Authority - 15/30
• Backlink trust (spam score) - 10/10
• Schema.org structured data - 0/25
• Knowledge graph anchors (sameAs) - 0/15
• llms.txt convention - 0/10
• Reddit sentiment (heuristic) - 4/10

Recommendation likelihood - 50/100

• robots.txt AI bot permissions - 30/30
• Sitemap.xml presence - 10/10
• Help center / Docs hub - 0/15
• FAQ presence - 0/15
• Category-relative authority - 10/20
• Category leader signals - 0/10

Score breakdown - 7 dimensions

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.

• Name Quality - 98/100
• Digital Presence - 88/100
• Visual Identity - 94/100
• Messaging Clarity - 95/100
• Trust Foundation - 71/100
• AI Discoverability - 64/100
• Brand Authority - 26/100

Peer brands

Ranked closest to AddALL: AcneStar (73/100), Michaels Custom Framing (73/100), ADSR Sounds (73/100), Agent Provocateur (73/100).

A step up - brands to learn from: Zoo Med Laboratories (81/100), ZonGuru (81/100).

Category leader: DHL (97/100).

Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.

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