An AI research tools comparison is only useful when it reflects the work you need to complete. This scorecard weights workflow overlap at 25 percent, source fidelity at 20, capture breadth and retrieval quality at 15 each, portability and price at 10 each, and export readiness at 5.
The weights favor reliable, reusable research over novelty. SauceTab publishes this framework and benefits when project research is valued, so treat the disclosure as part of the evidence.
The seven-part scorecard
| Criterion | Weight | What to test |
|---|---|---|
| Workflow overlap | 25 | Does the product solve your actual next step after capture? |
| Source fidelity | 20 | Can you inspect the original page, passage, and metadata? |
| Capture breadth | 15 | Does it handle the formats you use every week? |
| Retrieval and citations | 15 | Can it answer a question and show why the answer is credible? |
| Portability and MCP | 10 | Can your normal AI clients use the knowledge safely? |
| Price and free tier | 10 | Do real usage limits fit the ongoing cost? |
| Export readiness | 5 | Can you leave with useful URLs, files, notes, and metadata? |
Do not use the weights as a universal ranking. Change them when your workflow requires it. A researcher with strict source requirements may increase source fidelity. A visual designer may give more weight to image capture and rediscovery.
Score the workflow before the features
Start with a sentence: “After I save this, I need to...” Complete it with read, organize, synthesize, cite, share, review, or use in another AI client.
Raindrop.io scores well when the job is organizing links. Readwise Reader scores well when the job is reading and highlighting. NotebookLM scores well when the job is understanding a bounded packet. Fabric scores well when the job is consolidating broad knowledge. Recall scores well when the job is summarizing and reviewing. SauceTab scores well when the job is turning browser research into project context across AI tools.
A long feature checklist hides these distinctions. Give workflow overlap the largest weight so a specialized product can win the job it was built to do.
Verify source fidelity with a hard question
Use a source that contains a crucial qualifier near the end. Ask a question that fails if the qualifier is omitted. Then inspect how the product cites, links, or reveals the supporting passage.
A fluent answer without recoverable evidence should score lower than a plain answer that makes verification easy. This is especially important for competitor research, financial decisions, client work, and any output that another person will review.
Test capture breadth with real material
Do not award points because a marketing page lists many formats. Capture the article, PDF, newsletter, video, social post, and dynamic page you actually use. Note what is stored: a URL, cleaned text, transcript, image, metadata, or permanent copy.
The right representation affects later retrieval. A saved link is different from searchable source content, and a generated summary is different from the full evidence.
Treat MCP as an access decision
MCP can let compatible AI clients use a knowledge system, but the label does not explain scope. Check whether access is read-only or read and write, whether it covers one project or a whole account, and how it is revoked.
SauceTab provides project-scoped remote MCP. Fabric describes broader read and write access. Glasp describes read-only default access. Recall lists MCP and API within paid packaging. Verify current documentation for every product before connecting sensitive knowledge.
Price the real month
Free tiers often limit captures, projects, AI usage, storage, or integrations. Paid plans may be worthwhile if they replace repeated manual work. Build a sample month from your actual volume and compare the tier that supports it.
Include migration cost. An inexpensive tool can be expensive if exporting loses source URLs or if a closed product leaves the archive difficult to reuse.
Produce a decision receipt
Record the date, official sources, test project, scores, and deciding tradeoff. Keep one sentence explaining why the winner fits now and one condition that would cause a reevaluation.
That small receipt makes future tool changes easier. It turns a subjective impression into a reviewable decision without pretending the market will stop changing.