Clip Research is a web clipping and research library tool: capture whole pages or selections with a Chrome extension, tag them by type, evidence dimension, and decision note, organize by project, and let AI synthesize them into conclusions you and your team can reuse — then export as reference material.
More bookmarks, less of the thinking behind them.
When you finally write the comparison, you reopen a dozen tabs.
With no page to save, thoughts rot in sticky notes.
Generic summaries that never land on the actual task.
Clip Research fixes exactly this: it turns web pages from "bookmarked" into "argued."
Every page you save carries "what it is, what judgment it supports, why it's worth keeping," growing into an evidence pack for a decision. It's also a lightweight way to manage web research — not a pile of silent links.
From one click to a usable brief — every step makes your material more "arguable," not harder to find.
The extension actively extracts the page and your selected text, preserving headings, paragraphs, lists, tables, and code blocks; YouTube subtitles too. Uploads only when you hit save.
Each item can mark which argument it serves: positioning / feature / user pain / limitation / opportunity — so scattered pages self-assemble into an argument–evidence structure.
A sudden judgment, a hypothesis to test — no page required. Pick the note type and just write; managed alongside your real captures.
Every item can carry a source note — which decision it supports, which question it answers. Search later and you're straight back to the original intent.
Group items into a project and write its goal (the question to answer). AI synthesis anchors on the goal instead of summarizing generically; single items get summaries too.
Full-text search and quick filtering across projects, tags, and types; batch export to Markdown / CSV / JSON to hand off to your team or writing tool.
Ten content types work out of the box — save whatever you see, and filing is sorting. No folder to plan first.
While browsing, click the extension to save a whole page or a precise selection; or jot a note.
Pick a type, mark an evidence dimension, write "why save," add tags.
Drop it into a project and define the question with a goal.
Let AI synthesize by goal, export as shareable reference material.
Doing competitive analysis, compare competitor features and changelogs side by side, output a selection recommendation.
Scan companies and sectors fast; capture inspiration, archive coverage.
Collect quotable points and data, build a topic source library.
Capture pain points and gaps from competitor reviews, build sales ammo.
Manage sources and literature, use AI summary to read the key points before the deep dive.
Doing a selection, industry watch, or a sourced write-up — all fit.
Type + evidence dimension + decision note give every capture a purpose, not a pile of silent addresses.
The project's goal is the anchor; output lands on the actual question, not a generic article summary.
The note type closes the "no-link inspiration" gap; ideas and pages live in the same place.
Your material stays yours, portable in standard formats, never locked in.
Bookmarks only record an address. Clip Research records what the content is, what judgment it supports, and why it's worth saving — then lets AI synthesize it into conclusions by project.
No extra setup. AI summaries and project synthesis are built in and ready to use the moment you save something. No model or API key to wire up.
No. When you pick the note type, the URL and domain fields hide automatically and become optional — just write your thought.
Data is isolated per account and exportable anytime. The extension only uploads content when you take an explicit action.
Yes — Markdown / CSV / JSON export, so you can drop it into docs, sheets, or your writing tool.
With web clipping and a research library, start turning every page you read into evidence you can use — from your next browse.
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