Gemini (Deep Research)

What it is

Gemini is Google’s AI assistant, and its standout feature for this category is Deep Research: you give it a topic, it plans a multi-step research path, browses dozens of pages, and comes back minutes later with a long structured report and a source list. For a PM it’s the difference between “answer my one question” (Perplexity) and “go build me the whole competitive landscape while I do something else.” The 1M-token context on Pro means you can then paste that report plus your own docs and keep working in the same thread.

Our verdict

The best value in autonomous research right now. Deep Research produces a genuinely useful first-pass landscape — competitors, positioning, pricing, recent moves — organized into sections you’d actually put in front of a stakeholder. The free tier gives you 5 Deep Research runs a month, which is enough to decide if it’s worth the $19.99 Pro tier (which lifts you to 20 runs a day). It reads more Google-indexed pages than a quick chat query ever would.

Where it falls short: the reports are long and occasionally padded — you’ll cut a third of it, and it sometimes over-weights whatever ranks well on Google rather than the best source. It’s also weaker than Perplexity at tight, single-fact answers with clean inline citations; Deep Research is a heavier instrument you wouldn’t fire for “what’s their current price.”

Get value in 10 minutes

1. Open gemini.google.com and select Deep Research from the tools/model picker.
2. Prompt: “Build a competitive landscape for [my product] in [market]. Cover the top 5 competitors: positioning, target buyer, pricing, notable recent launches, and their single biggest weakness. Cite every claim and flag anything you couldn’t verify.”
3. Let it run (a few minutes), then skim the report and open the export to Google Docs.
4. In the same thread, paste your own positioning and ask: “Where do we win and lose against each of these? Give me one battlecard-style talking point per competitor.”