Every teardown, research link, and PRD source in one place

You read constantly — competitor changelogs, pricing pages, user research writeups, analyst posts, that one Reddit thread where users tore apart a rival’s onboarding. Then three weeks later you’re drafting a PRD and can’t find any of it. Marqly fixes the retrieval half of product research: it saves anything from your browser in one click, tags it with AI so you never file anything manually, and finds it later by what it was about rather than what it was called.

Competitor teardowns that stay findable

A teardown session usually ends with fifteen open tabs: the competitor’s pricing page, their changelog, two review threads, a comparison post. Marqly’s tab saver captures all of them at once, and AI auto-tagging labels each save on its way in — no dragging links into folders while the context is still fresh in your head.

Pricing pages and changelogs also have a habit of changing after you’ve analyzed them. Marqly’s save-as-PDF captures any page as a clean PDF matching the on-screen layout, lazy-loaded images included, so the version you based your positioning doc on still exists when the competitor ships a redesign. The capture is processed locally in your browser.

When you need it back, semantic search works by meaning across titles, content, highlights, and transcripts. “That post about why their free tier converts badly” gets you there without remembering the author, the publication, or a single word of the headline. There’s more on how that works in practice in how to search bookmarks with AI.

From saved links to PRD source material

Saving is the easy part; the gap PMs actually feel is between “I saved it” and “it’s in the spec.” Two Marqly features close it.

First, the highlighter. Select the specific stat, quote, or user complaint on any page, highlight it in one of six colors, and attach a note — “use in Q3 pricing PRD” is a perfectly good note. Highlights persist on the page when you revisit and sync to your library, so the evidence is pre-extracted before writing day arrives.

Second, AI summaries. Every saved article gets one, which means triaging a backlog of “read later” research takes minutes instead of an afternoon. When you’re deeper into drafting, Pro’s chat feature lets you ask questions answered from your saved content — “what did the churn research say about annual plans?” — and get an answer grounded in what you actually saved, not the open web.

User research links, interviews, and video

Product research increasingly lives in video: founder interviews, conference talks, competitor demo walkthroughs on YouTube. Marqly adds an AI card to every YouTube watch page with a streaming summary, key sections, and a playback-synced transcript you can copy in one click. The bookmark button in YouTube’s action row saves the video with its transcript attached — so a 40-minute talk about activation metrics becomes searchable text in your library, and semantic search can pull the right moment out of it later.

For written research — usability writeups, survey results posted internally as web pages, community feedback threads — the side-panel library lets you browse and search your saves without leaving the page you’re on, which matters when you’re cross-referencing five sources mid-draft.

A board per initiative

Marqly boards group links and highlights around a theme, and an initiative is a natural theme: one board for the pricing revamp, one for the onboarding rework, one per competitor you track seriously. When a stakeholder asks “what’s the research behind this?”, you can share a board as a public page that anyone can view without signing up — a curated evidence trail instead of a link dump in Slack. One honest caveat: public boards are public to anyone with the link, so keep genuinely confidential material out of them.

Getting started

Install the Marqly extension — it’s available for Chrome, Edge, Firefox, and Safari, and rated 4.8 on the Chrome Web Store. If you’ve accumulated research in your browser’s bookmarks bar, export it as a bookmark HTML file and import it; Pocket exports and Raindrop.io collections import too. Then let the AI tag everything. That last step is the point: your existing pile of unfiled competitor links becomes a tagged, semantically searchable research base without you sorting a single item. From there, save as you browse and the system maintains itself.

Sign up free at app.marqly.com — no card required.

Who this isn’t for

Marqly is a personal research tool, and honesty matters more than a sale: it has no team features, so your whole product trio can’t co-edit a shared research repository — sharing is limited to public, view-only board pages. It won’t replace your spec tool, your roadmap software, or your analytics stack, and there’s no public API to pipe saves into other systems. If what you need is a place where your own product research stops disappearing, it’s a strong fit; see how it stacks up against alternatives in the best AI bookmark managers of 2026.