Trusted journal intelligence for researchers
Cabells (cabells.com) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Media & Entertainment brands, Technology brands, in the 56th percentile of 17704 Education brands.
Cabells is a Texas-based company, founded in 1978, that provides verified journal data and predatory publisher detection to support informed academic publishing decisions. It maintains proprietary whitelists and blacklists of academic journals, helping researchers, authors, librarians, and institutions assess journal credibility and avoid predatory publishing practices. The company positions itself as an authoritative resource for journal evaluation and academic publishing integrity, serving the global academic community.
| Brand Name | Cabells |
|---|---|
| Domain | cabells.com |
| Industry | Education, Media & Entertainment |
| Founded | 1978 |
| Headquarters | Texas, USA |
| Main Competitors | Clarivate (Web of Science/Journal Citation Reports) (94/100), Scopus (Elsevier) (83/100), DOAJ (Directory of Open Access Journals) (85/100), Think. Check. Submit., SCImago Journal Rank |
Moz Domain Authority 50/100 vs category average 48 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #601,860 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Cabells has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "To help researchers, authors, and institutions make informed publishing decisions by providing verified journal data and predatory publisher detection." (No meta description) - 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 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 X (Twitter), LinkedIn, Instagram, YouTube; no detected presence on Facebook, 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 Cabells?", Claude could identify the brand as of October 2026. Cabells is a company that provides journal analytics and evaluation services for academic researchers, most notably through its Journalytic and Predatory Reports databases that help scholars verify the legitimacy of journals before submitting their work or evaluate them for tenur Best known for its Predatory Reports database that identifies deceptive, exploitative academic journals.
When asked "Best brands similar to Cabells?", Claude would recommend Cabells as of October 2026. It's a well-known, widely used resource in academic publishing circles for vetting journal quality and avoiding predatory publishers.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Cabells's main competitors in Education: Clarivate (Web of Science/Journal Citation Reports) (94/100), Scopus (Elsevier) (83/100), DOAJ (Directory of Open Access Journals) (85/100).
Sources: Brand Analyzer scan
Cabells has moderate AI-search visibility, scoring 53/100 on Brand Analyzer's AI visibility composite (visibility 68, trust 26, recommendation 57). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Cabells official site
Cabells was founded in 1978. Cabells operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Cabells scores 57/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Cabells official site
Cabells offers databases of academic journals, including a whitelist of verified, reputable publications and a blacklist identifying predatory publishers. These tools provide detailed journal metrics and credibility assessments to support publishing decisions.
Sources: Cabells official site
Cabells is a Texas-based company that provides verified academic journal data and predatory publisher detection services. Founded in 1978, it maintains proprietary databases-often described as whitelists and blacklists-that help the academic community evaluate the credibility and legitimacy of scholarly journals.
Sources: Cabells official site
Cabells compiles and continuously updates databases of academic journals, assessing them for quality and legitimacy. It identifies predatory publishers through a proprietary blacklist and highlights reputable journals through a whitelist, giving researchers, authors, and institutions tools to make informed publishing decisions.
Sources: Cabells official site
Cabells 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: Cabells official site
Cabells is used by academic researchers, authors, librarians, universities, and research institutions seeking to verify the legitimacy of journals and avoid predatory publishing practices.
Sources: Cabells official site
Cabells is known for its proprietary blacklist of predatory academic journals and publishers, as well as its whitelist of verified, reputable journals. It is widely referenced in discussions about academic publishing integrity and predatory journal detection.
Sources: Cabells official site
Cabells scores 53/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Cabells has a limited AI-visibility profile at 53/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (68/100) and its weakest is trust (26/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #601,860 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Cabells 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 Cabells: Bytes (77/100), British Veterinary Nursing Association (BVNA) (77/100), California Baptist University (77/100), CallingPost (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
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