The proof, not the claim

Omentoo vs vanilla LLM, side by side.

Same model. Same input. Different contract with the model. The gap is the moat — and it's easier to show than to argue.

Try your own feedback

Same input, run two ways: Omentoo's structured pipeline and a vanilla "summarize this" LLM call. Same model. See the gap.

0 / 20,000 chars
Showing the canonical example. Paste your own above to see the comparison on your input.
Omentoo

Structured output via zod schema. Same model, different contract.

  • Honest counts
  • Real quotes
  • P1–P5 priorities
Headline

SSO is a hard blocker for Team-plan revenue and two churns confirm it, while CSV import failures and missing Linear integration are creating active friction across trial and paying users.

16 signals · strong

Top theme

Missing Bulk Actions and Navigation Gaps

high×4
where do i bulk-delete contacts
Top recommendation
P1Ship this weekM efforthigh confidence

Fix the CSV import file-size cap — raise the 5MB limit or add chunked upload support to unblock Maria and prevent churn

Maria is on $89/mo and actively considering returning to HubSpot after three failed attempts. kev_sales hit this twice in a week. This is a retention-risk bug, not a feature request.

+6 more themes, +4 more recommendations, and a watchlist not shown above.

Vanilla LLM

Same model, same input. Single "summarize this" prompt. This is what 95% of AI feedback tools ship.

  • No counts
  • No real quotes
  • No priorities
## Feedback Summary ### 🔴 Blockers Costing You Revenue Right Now **SSO is a hard gate for upmarket deals.** Two separate signals — Acme Co (evaluating a Team plan) and Liam (already churned) — cite SSO as a non-negotiable. Liam explicitly said he'd come back if you ship it. If you're targeting teams with SOC2 requirements, this isn't a roadmap item, it's a prerequisite. **CSV import is broken for larger files.** Maria (paying, $89/mo, churn risk) and @kev_sales (Discord) both hit failures independently. Maria has 12,000 contacts stuck and is looking at HubSpot. This is an active retention issue, not a feature request. ### 🟡 High-Demand Features With Clear Signal **Linear integration** has unusually consistent demand across totally separate channels: Acme Co asked on a sales call, @sara.builds and two @bryan_indie mentions came from Discord, and — most urgently — Yumi is a trial user who said "if you have it I'll buy today." There's also a 404ing docs page implying this was planned or teased. That broken page is actively blocking a conversion. Fix or redirect it immediately, and treat the integration itself as high priority. **Mobile / PWA** came up from @helena_pm, an App Store reviewer (who docked 2 stars specifically for this), and likely represents a broader silent cohort. The ask is modest — a PWA would satisfy multiple people — and one user said they'd upgrade to 5 stars for it. **Audit logs** were requested by Acme Co alongside SSO. These tend to travel together for compliance-conscious buyers, so they're probably part of the same enterprise readiness package. ### 🟠 Onboarding & UX Friction **The product assumes a team; solo users feel excluded.** Devesh churned explicitly because the workspace setup pressured him to invite teammates he doesn't have, and per-seat pricing felt punishing. This is a positioning and UX issue as much as a pricing one — if you want to serve indie founders, the onboarding flow needs a "just me" path. **Basic navigation is failing trial users.** "How do I export a report?" and "where do I bulk-delete contacts?" (three users in one week) and "is there an API?" are all findability problems. These users aren't asking for new features — they're lost. A better in-app UI, clearer empty states, or a tightened help doc structure would reduce this load without any engineering work. **Notion overlap is causing uninformed signups and quick refunds.** Tomás refunded after four days because the product overlaps with Notion AI and lacks two-way Notion sync. He wasn't unhappy — he just didn't have enough information before buying. Clearer positioning on the landing page ("how we're different from Notion AI") could filter this out and improve conversion quality. ### 🟢 What's Working The core product is genuinely resonating. @vc_alex's tweet about catching a churn pattern in their support inbox is exactly the kind of word-of-mouth you want. The dashboard speed improvement landed well. Liam — who *churned* — still called the synthesis "actually better" than the competitor he switched to. Priya signed up with a real, motivated use case (200+ feature requests in a Notion doc). The retention risk here isn't product quality; it's missing infrastructure and rough edges blocking otherwise-happy users. --- ### Suggested Priority Order | Priority | Item | Why | |---|---|---| | 🔴 Immediate | Fix CSV import for files >5MB | Paying customer at churn risk | | 🔴 Immediate | Fix/redirect the Linear 404 doc | Blocking a trial conversion today | | 🔴 Short-term | SSO | Hard gate on enterprise deals; churned a customer | | 🟡 Short-term | Linear integration | Multi-channel demand, direct conversion signal | | 🟡 Short-term | Solo/single-user onboarding path | Pricing and UX misfit driving churn | | 🟠 Medium | PWA / mobile | App Store rating + multiple requests | | 🟠 Medium | Audit logs | Pairs with SSO for compliance buyers | | 🟠 Medium | Navigation & help docs | Reducing repetitive support load | | ⚪ Ongoing | Notion positioning on marketing site | Filtering low-fit signups |

Prose. To find the count of mentions for a theme, you have to read it. To find a quote, you have to trust the model didn't paraphrase. To prioritize, you have to do the work yourself.

What this comparison is actually showing

  1. The model is identical. Both calls use anthropic/claude-sonnet-4-6. If you swapped to GPT-5 or Gemini, the gap would still be there.
  2. Omentoo's output is enforced by a zod schema — themes must have integer mention counts, quotes must be strings pulled from the input, recommendations must have a P1-P5 priority + effort + confidence. The model can't hedge with "several users mentioned…" because the schema requires a number.
  3. The vanilla side gets free prose. Useful for skimming. Useless for: deciding what to ship this week, tracking mention counts over time, pulling a quote into a roadmap doc, spotting weak signals you want to watch.
  4. This is what defends against the next AI tool. Switching models is one config change for Omentoo. Throwing away the schema and re-doing prompting is what a competitor has to do to catch up.

Try it on your real customer feedback.

Free demo, no signup. Paste up to 20K characters.

Try Omentoo