Design vs Research AI moats

Design AI and Research AI have the same average moat, 56 out of 100. They rank 20th and 21st of 29 AI markets. Both rate a narrow moat. Design is stronger on switching costs; Research on hard to copy and habit and retention. Research is less crowded, with a saturation of 14 against 41 for Design.

Data updated · 478 products rated across both markets

Source by sourceCheck your product’s moat

56Design average moat, out of 100
56Research average moat, out of 100
0points between them
Evenneither moat is wider

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.

Design and Research AI compared on moat, crowding and threats
MeasureDesignResearchBetter
Moat ratingNarrow moatNarrow moat
Average moat56 of 10056 of 100Even
Rank among AI markets20 of 2921 of 29Design, by 1 place
Main moatHard to copyHard to copy
Products with a wide moat5%3%Design, by 2 points
Products with no moat44%26%Research, by 18 points
Saturation (crowding)4114Research, by 27 points
Wrapper exposure17%1%Research, by 16 points
Platform dependency3323Research, by 10 points
Products rated336142

Moat sources

Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.

SwitchingRetentionHard to copyRegulationEcosystem

Design, filled · Research, dashed

Where Design is stronger

  • Switching costs+7

Where Research is stronger

  • Hard to copy+7
  • Habit and retention+5
MeasureDesignResearch
Switching costsHow much time, data and retraining a customer would lose by moving to a rival.34Weak27Weak
Habit and retentionHow deeply the product sits in a daily routine or workflow.63Weak68Moderate
Hard to copyDifferentiation from rivals, and how few products are thin layers over a public model.71Moderate78Moderate
Regulatory barrierCompliance work (health, finance, legal, privacy rules) a new entrant must clear first.0Weak3Weak
EcosystemShare of products with a public API and with ten or more integrations.31Weak32Weak
Wrapper exposure (threat)Share of products whose core could be rebuilt on a public model in days. Higher is worse.17Some1Low
Platform dependency (threat)How much products rely on another company’s platform (a social network, a store, a search engine) to work. Higher is worse.33Low23Low

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 Design

  1. 01Webflow DesignerVisual web design tool for professional designersWide moat
  2. 02RiveInteractive animation for apps and games, in real timeWide moat
  3. 03Relume WebsiteAI website builder for Figma and WebflowWide moat
  4. 04Rive Animation ProInteractive animations for apps and gamesWide moat
  5. 05FigmaThe collaborative design platform every product team usesWide moat

All of Design’s moat profile →

Widest moats in Research

  1. 01Lila SciencesAutonomous AI scientistWide moat
  2. 02NotCoAI-driven plant-based food formulationWide moat
  3. 03Open Alex Research APIFree open API for 250 million scholarly works with AI filteringWide moat
  4. 04InstaDeepDecision-making AI for the enterpriseWide moat
  5. 05Periodic LabsAI scientist for accelerated researchNarrow moat

All of Research’s moat profile →

More comparisons

Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.

Compare any two markets

Questions

Which has a wider moat, Design AI or Research AI?

Neither: both average 56 out of 100 on FalcoScan's moat rating.

Is Design AI or Research AI more crowded?

Research is less crowded, with a saturation of 14 against 41 for Design. Saturation runs from 0 to 100 and measures how crowded a market is.

How do the moats of Design AI and Research AI differ?

Both markets' main moat is hard to copy. Design leads on switching costs (+7). Research leads on hard to copy (+7) and habit and retention (+5).

Is Design AI or Research AI more exposed to wrappers?

Design AI: 17% of its products could be rebuilt on a public model quickly, against 1% in Research AI.

Which Design and Research AI products have the widest moats?

In Design: Webflow Designer, Rive and Relume Website. 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.

Citation

FalcoScan, “Design vs Research AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/design-vs-research

BibTeX
@misc{falcoscan_moats_compare_design_vs_research_2026,
  author = {{FalcoScan}},
  title = {Design vs Research AI moats},
  year = {2026},
  month = oct,
  howpublished = {\url{https://falcoscan.com/moats/compare/design-vs-research}},
  note = {Data updated 9 October 2026}
}
Link for your site

<a href="https://falcoscan.com/moats/compare/design-vs-research">Design vs Research AI moats (FalcoScan)</a>

Market data

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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The figures refresh daily from the FalcoScan catalog. When you quote one, quote the date with it: .

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