Real user flows for better UX design
Page Flows (pageflows.com) earns a Brand Analyzer score of 77 out of 100, placing it in the Brand-Ready tier among SaaS brands, Technology brands, Marketing & Advertising brands. Among 17437 SaaS brands analyzed, Page Flows ranks in the 66th percentile (category average 74, 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 96/100, Visual Identity 90/100, Messaging Clarity 95/100, Trust Foundation 87/100, AI Discoverability 79/100, Brand Authority 25/100.
Page Flows is a SaaS platform that provides a searchable library of over 100,000 recorded user flows, app screens, and UI patterns from well-known apps such as Airbnb, Uber, and Netflix. It is designed to help UX/UI designers, product managers, and design teams conduct competitive research and find design inspiration without manually testing or reviewing each app themselves.
| Brand Name | Page Flows |
|---|---|
| Domain | pageflows.com |
| Industry | SaaS, Technology |
| Main Competitors | Mobbin (82/100), Screenlane, Pttrns, UI Sources (69/100), Lapa Ninja (79/100) |
Moz Domain Authority 49/100 vs category average 34 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #161,724 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 "Explore 100,000+ recorded user flows, app screens, and UI patterns from Airbnb, Uber, Netflix & more. Save hours on UX research with Page Flows." (Meta description: 24 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, og:title, og:description, 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: Cloudflare.
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.
Page Flows scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Page Flows has a weak AI-visibility profile at 33/100 - 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 visibility (5/100). It benefits from a global traffic rank of #161,724 (Tranco), a Moz Domain Authority of 49/100 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 no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Page Flows from memory (August 2026) - a sign these signals are paying off.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is Page Flows?", Claude could identify the brand as of August 2026. Page Flows is a UX research library that offers a large collection of recorded user experience testing sessions, showing real users navigating through onboarding, checkout, and other flows on popular websites and apps. Best known for Providing a searchable video library of real user testing sessions for UX and product teams to study competitor and best-practice flows.
When asked "Best brands similar to Page Flows?", Claude would recommend Page Flows as of August 2026. It's a well-regarded niche tool among UX researchers and product designers looking for real-world examples of user flows and usability patterns.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Page Flows's main competitors include Mobbin (82/100), Screenlane, Pttrns, UI Sources, Lapa Ninja (79/100). These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
Page Flows and Mobbin are competitors in SaaS. Brand Analyzer scores Page Flows at 77/100 and Mobbin at 82/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to Page Flows include Mobbin (82/100), Screenlane, Pttrns, UI Sources, Lapa Ninja (79/100). Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: Brand Analyzer scan
Page Flows offers access to a library of recorded user flows, app screens, and UI patterns from top apps such as Airbnb, Uber, and Netflix. This library serves as a design research and inspiration resource for UX/UI professionals seeking to benchmark interface patterns and user journeys.
Sources: Page Flows official site
Page Flows is a design research SaaS platform that offers a library of over 100,000 recorded user flows, app screens, and UI patterns captured from popular apps like Airbnb, Uber, and Netflix. It is used by UX/UI professionals to study how real products implement specific interface patterns and user journeys.
Sources: Page Flows official site
Page Flows has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 55, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Page Flows official site
Page Flows records and organizes user flows, screens, and UI patterns from leading apps and websites, then makes this content searchable so designers can quickly find examples of specific interactions, onboarding sequences, checkout processes, or other UI patterns without having to manually navigate through each app themselves.
Sources: Page Flows official site
Page Flows scores 58/100 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.
Sources: Page Flows official site
Page Flows is known for its large, searchable database of over 100,000 recorded user flows and UI patterns sourced from well-known apps such as Airbnb, Uber, and Netflix, which designers use for benchmarking and inspiration.
Sources: Page Flows official site
Page Flows 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: Page Flows official site
Page Flows is used by UX/UI designers, product managers, and design teams who need design inspiration and competitive research on user flows and interface patterns from leading apps and websites.
Sources: Page Flows official site
Ranked closest to Page Flows: Outsourced (77/100), Outsource Access (77/100), Page One Power (77/100), Paismo (77/100).
A step up - brands to learn from: Zuper (81/100), Zoya (81/100).
Category leader: Hostinger (97/100).