Consensus Brand Score: 72/100 - Brand-Ready tier

AI for Research

Consensus (consensus.app) earns a Brand Analyzer score of 72 out of 100, placing it in the Brand-Ready tier among Technology brands, Education brands. Among 9683 Technology brands analyzed, Consensus ranks in the 67th percentile (category average 69, leader 97). 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. Dimension scores: Name Quality 93/100, Digital Presence 82/100, Visual Identity 85/100, Messaging Clarity 100/100, Trust Foundation 55/100, AI Discoverability 70/100, Brand Authority 44/100.

AI Snapshot

Consensus (consensus.app) is an AI-powered academic search engine founded in 2013 and headquartered in American Fork. Led by CEO Doug Johnson, the platform provides access to over 250 million peer-reviewed papers, enabling researchers to conduct automated literature reviews and synthesize scientific findings. Positioned as a 'research OS,' Consensus targets researchers, academics, and medical professionals seeking to accelerate scientific discovery by replacing time-intensive manual literature reviews with AI-driven analysis.

Key facts about Consensus
Brand NameConsensus
Domainconsensus.app
IndustryTechnology, Education
Founded2013
HeadquartersAmerican Fork
CEODoug Johnson
Main CompetitorsSemantic Scholar (81/100), Elicit (77/100), ResearchRabbit, Scite (84/100), Connected Papers (69/100), PubMed

Evidence

Moz Domain Authority 54/100 vs category average 29 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.

Ranked #20,739 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.

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 "Consensus is an AI academic search engine for peer-reviewed literature-your research OS for finding, organizing, and analyzing science 10x faster." (Meta description: 20 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 mentions ChatGPT-User, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

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

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

Score breakdown - 7 dimensions

AI visibility

Consensus scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

Consensus has a weak AI-visibility profile at 36/100 - 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 trust (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #20,739 (Tranco) and a Moz Domain Authority of 54/100. 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.

Visibility - 31/100

Trust - 26/100

Recommendation likelihood - 58/100

People Also Ask About Consensus

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

Who are Consensus's main competitors?

Consensus's main competitors include Semantic Scholar, Elicit (77/100), ResearchRabbit, Scite (84/100), Connected Papers (69/100). These companies compete in the Technology space for similar customers, offering comparable products or services.

Sources: Consensus official site

Consensus vs Scite: how do they compare?

Consensus and Scite are competitors in Technology. Brand Analyzer scores Consensus at 72/100 and Scite at 84/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.

Sources: Consensus official site

What is Consensus?

Consensus is an AI academic search engine available at consensus.app, founded in 2013 and headquartered in American Fork. It is designed as a research operating system that provides access to over 250 million peer-reviewed papers. The platform uses artificial intelligence to help users find, organize, and analyze scientific literature. Its stated mission is to accelerate scientific discovery by making peer-reviewed research instantly accessible and understandable.

Sources: Consensus official site

What does Consensus do?

Consensus automates literature reviews by synthesizing findings from more than 250 million peer-reviewed papers. Users can search scientific literature, organize findings, and analyze research results through an AI-driven interface. The platform is designed to replace weeks of manual literature review work, completing comparable tasks in minutes. It positions itself as the first AI academic search engine built specifically to automate the literature review process for scientific and academic research.

Sources: Consensus official site

What are the best alternatives to Consensus?

Popular alternatives to Consensus include Semantic Scholar, Elicit (77/100), ResearchRabbit, Scite (84/100), Connected Papers (69/100). Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.

Sources: Consensus official site

What products or services does Consensus offer?

Consensus offers an AI academic search engine available at consensus.app that functions as a research operating system. Its core service enables users to search, find, organize, and analyze peer-reviewed scientific literature drawn from a database of over 250 million papers. The platform automates literature reviews by synthesizing research findings using AI. No specific tiered product names, pricing plans, or additional discrete product lines are described in the available facts.

Sources: Consensus official site

When was Consensus founded?

Consensus was founded in 2013. Consensus operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.

Sources: Wikidata

Where is Consensus headquartered?

Consensus is headquartered in American Fork. Consensus operates in the Technology category.

Sources: Wikidata

What is Consensus known for?

Consensus is known for being an AI-powered academic search engine that automates literature reviews by drawing on a database of over 250 million peer-reviewed papers. It is recognized for its positioning as a 'research OS'-a platform for finding, organizing, and analyzing science significantly faster than traditional manual methods. It claims to be the first AI academic search engine focused specifically on automating the literature review workflow for researchers and academics.

Sources: Consensus official site

Does ChatGPT recommend Consensus?

Consensus scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.

Sources: Consensus official site

Who uses Consensus?

Consensus is used by researchers, academics, and medical professionals, particularly those affiliated with top research institutions. These users typically need to conduct literature reviews and analyze peer-reviewed science as part of their work. The platform is positioned for individuals and teams in academic and scientific settings who need to process large volumes of research efficiently. No specific institution names or user volume statistics are provided in the available facts.

Sources: Consensus official site

How can Consensus improve its AI discoverability?

Consensus 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: Consensus official site

Recommendations

Peer brands

Ranked closest to Consensus: Conifers AI (72/100), Concurrency (72/100), Constant AI (72/100), ConvergePoint (72/100).

A step up - brands to learn from: Zyte (81/100), Zimmer Biomet (81/100).

Category leader: Accenture (97/100).