Research at the pace of change
Maze (maze.co) scores 88 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, Marketing & Advertising brands, in the 94th percentile of 19526 SaaS brands.
Maze is a SaaS platform providing an end-to-end user research and testing solution powered by research-grade AI. It enables researchers, designers, and product managers to recruit participants, conduct research, and analyze results at scale within a single tool. Maze targets teams in tech, financial services, and insurance sectors seeking efficient, scalable user research capabilities, positioning itself as an all-in-one, AI-powered research platform.
| Brand Name | Maze |
|---|---|
| Domain | maze.co |
| Industry | SaaS, Technology |
| Main Competitors | UserTesting (88/100), Lookback (81/100), Optimal Workshop (81/100), Dovetail (82/100), UsabilityHub (82/100), Userlytics (83/100), Qualtrics (90/100), Hotjar (87/100) |
Moz Domain Authority 44/100 vs category average 35 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #6,585 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Maze appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Maze empowers researchers to be change makers-turning research into a center of influence. Built for scale, versatility, and powered by research-grade AI." (Meta description: 22 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 3 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding 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: Gatsby.
Social footprint: verified profiles on LinkedIn, Instagram, X (Twitter), YouTube, 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 August 2026.
When asked "What is Maze?", Claude could identify the brand as of August 2026. Maze is a rapid testing and user research platform that lets product teams validate designs and prototypes by running unmoderated usability tests, surveys, and card sorting studies, often integrating directly with tools like Figma. It's widely used by product managers, designers, Best known for rapid, unmoderated usability testing integrated with design tools like Figma.
When asked "Best brands similar to Maze?", Claude would recommend Maze as of August 2026. It's a well-known and commonly recommended tool in the product design and UX research space, especially for teams wanting fast, in-context user testing.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Maze's main competitors in SaaS: UserTesting (88/100), Lookback (81/100), Optimal Workshop (81/100), Dovetail (82/100), UsabilityHub (82/100).
Sources: Brand Analyzer scan
Maze has moderate AI-search visibility, scoring 56/100 on Brand Analyzer's AI visibility composite (visibility 50, trust 52, recommendation 73). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Maze official site
Maze scores 73/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Maze official site
Maze offers an end-to-end user research and testing platform that includes tools for recruiting research participants, conducting research studies, and analyzing results, all powered by research-grade AI. The platform is designed to support scalable research operations within a single integrated tool.
Sources: Maze official site
Maze is a SaaS platform offering an end-to-end user research and testing solution powered by research-grade AI. It is designed to help organizations conduct research at scale, serving researchers, designers, and product managers across industries such as tech, financial services, and insurance.
Sources: Maze official site
Maze enables teams to recruit research participants, conduct user research and usability testing, and analyze results within a single integrated platform. It leverages research-grade AI to support scalable, efficient research workflows, helping organizations turn research findings into actionable insights that can influence product and business decisions.
Sources: Maze official site
Maze 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: Maze official site
Maze is used by user researchers, designers, and product managers, particularly at companies within the tech, financial services, and insurance industries who need to conduct scalable and efficient user research as part of their product development processes.
Sources: Maze official site
Maze is known for being an all-in-one, AI-powered user research and testing platform built for scale and versatility. It is recognized for enabling researchers, designers, and product managers to conduct research efficiently within a single tool, rather than relying on multiple disparate research solutions.
Sources: Maze official site
Maze scores 56/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Maze has a limited AI-visibility profile at 56/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (73/100) and its weakest is visibility (50/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #6,585 (Tranco) and a Moz Domain Authority of 44/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Maze from memory (August 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 Maze: Maxio (88/100), Manychat (88/100), Bizzdesign (88/100), Megaport (88/100).
A step up - brands to learn from: ZipRecruiter (91/100), Zerto (91/100).
Category leader: Hostinger (97/100).
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