Productivity vs Research AI moats
Productivity AI has the wider moat: an average of 60 out of 100 against 56 for Research AI, 4 points apart. They rank 19th and 21st of 29 AI markets. Both rate a narrow moat. Productivity is stronger on switching costs, habit and retention and ecosystem; Research on hard to copy. Research is less crowded, with a saturation of 14 against 47 for Productivity. Productivity is better protected but more crowded; Research is more open but easier to copy.
Side by side
The two markets on FalcoScan's moat rating, crowding and threats. The better figure of each pair is in bold; for crowding, threats and the no-moat share, lower is better.
| Measure | Productivity | Research | Better |
|---|---|---|---|
| Moat rating | Narrow moat | Narrow moat | |
| Average moat | 60 of 100 | 56 of 100 | Productivity, by 4 points |
| Rank among AI markets | 19 of 29 | 21 of 29 | Productivity, by 2 places |
| Main moat | Habit and retention | Hard to copy | |
| Products with a wide moat | 7% | 3% | Productivity, by 4 points |
| Products with no moat | 31% | 26% | Research, by 5 points |
| Saturation (crowding) | 47 | 14 | Research, by 33 points |
| Wrapper exposure | 46% | 1% | Research, by 45 points |
| Platform dependency | 50 | 23 | Research, by 27 points |
| Products rated | 313 | 142 |
Moat sources
Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.
Productivity, filled · Research, dashed
Where Productivity is stronger
- Switching costs+21
- Habit and retention+10
- Ecosystem+10
Where Research is stronger
- Hard to copy+23
Widest moats in each market
The five products with the highest moat score in each market, shown as bands. Exact scores are on paid plans.
Widest moats in Productivity
- 01DeepLAI-powered translation that rivals humansWide moat
- 02GleanThe AI work assistant that searches across all your company toolsWide moat
- 03Google NotebookLMAI research notebook that reasons over your documentsWide moat
- 04GranolaThe AI notepad that takes meeting notes without a bot joiningWide moat
- 05Granola Meeting NotesAI notepad that enhances your meeting notesWide moat
Widest moats in Research
- 01Lila SciencesAutonomous AI scientistWide moat
- 02NotCoAI-driven plant-based food formulationWide moat
- 03Open Alex Research APIFree open API for 250 million scholarly works with AI filteringWide moat
- 04InstaDeepDecision-making AI for the enterpriseWide moat
- 05Periodic LabsAI scientist for accelerated researchNarrow moat
More comparisons
Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.
Productivity against
Questions
Which has a wider moat, Productivity AI or Research AI?
Productivity AI, with an average moat of 60 out of 100 across 313 rated products, against 56 across 142 in Research AI. 7% of Productivity products have a wide moat, against 3% in Research.
Is Productivity AI or Research AI more crowded?
Research is less crowded, with a saturation of 14 against 47 for Productivity. Saturation runs from 0 to 100 and measures how crowded a market is. Productivity is better protected but more crowded; Research is more open but easier to copy.
How do the moats of Productivity AI and Research AI differ?
Productivity's main moat is habit and retention and Research's is hard to copy. Productivity leads on switching costs (+21), habit and retention (+10) and ecosystem (+10). Research leads on hard to copy (+23).
Is Productivity AI or Research AI more exposed to wrappers?
Productivity AI: 46% of its products could be rebuilt on a public model quickly, against 1% in Research AI.
Which Productivity and Research AI products have the widest moats?
In Productivity: DeepL, Glean and Google NotebookLM. In Research: Lila Sciences, NotCo and Open Alex Research API. Exact moat scores for every product are on FalcoScan's paid plans.
Cite and share
Quote a figure, link to the comparison or take the data for every market.
FalcoScan, “Productivity vs Research AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/productivity-vs-research
@misc{falcoscan_moats_compare_productivity_vs_research_2026,
author = {{FalcoScan}},
title = {Productivity vs Research AI moats},
year = {2026},
month = oct,
howpublished = {\url{https://falcoscan.com/moats/compare/productivity-vs-research}},
note = {Data updated 9 October 2026}
}<a href="https://falcoscan.com/moats/compare/productivity-vs-research">Productivity vs Research AI moats (FalcoScan)</a>
Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.
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