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Bagel AI vs Aha!

Aha! is a product management suite for roadmaps and ideas portals. Bagel AI, the product brain, reads your sales calls and support tickets and ranks every request by a KPI you pick. After launch, it checks that KPI with the accounts that asked.

Teams that run their product decisions on Bagel AI
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Why switch

Why product leaders pick Bagel AI over Aha!

Aha! holds the roadmap and the ideas portal. Bagel AI is built around these four.

stack-overflow

A model trained on your data

A dedicated model learns your feature names and accounts, and it merges repeat requests into one, for 90% fewer duplicates.

phone-call-forward

Reads every call and ticket you connect

Sales calls, support tickets, chats and threads come in whole from 100+ tools, so a request counts without anyone logging it as an idea.

Specs that reach engineering

Scoped specs with the evidence attached go to Jira, Linear or GitHub, and coding agents read them through Bagel MCP.

money-bag

No seat fees

Plans start at $24K a year with unlimited seats, so sales and CS can work in it at no extra cost.

After launch, Bagel AI goes back to the accounts that asked and checks the KPI the decision was ranked on.

Side by side

Bagel AI and Aha!, row by row

Nine things product leaders check when they compare the two.

Bagel AI goes further
What you needAha!Bagel AI
Where customer signal comes fromPortals, apps, webhooks

Portals, a Chrome extension and email. Ideas Advanced adds CRM and help desk apps, plus webhooks that send tickets for AI to log. Aha! Discovery imports Gong calls one at a time

Calls to CRM notesBagel AI goes further

Sales calls, support tickets, chats, threads and CRM notes from 100+ tools, read in full, with the whole taxonomy built and managed for you

Accounts and revenueAccounts and deals

On Ideas Advanced, Salesforce and HubSpot bring in account data like revenue, plus the opportunities and deals linked to an idea

Accounts and revenue

Every request is tied to the accounts that asked and their revenue

How requests get rankedVotes, revenue, scores

Votes and scorecards with custom equations, plus revenue from voting accounts on Ideas Advanced. Field-based metrics need Roadmaps Enterprise+

Any KPI or formula

Ranked by revenue or any KPI you pick, such as active users, NPS or a formula of your own

What reaches engineeringJira, ADO, GitHub

Two-way sync with Jira, Azure DevOps and GitHub. No Linear sync, though its AI assistant can reach Linear through a connector

Jira, Linear, GitHub

Scoped specs with acceptance criteria and the evidence attached, sent to Jira, Linear or GitHub

AI coding agents (MCP)Records over MCP

An MCP server that reads and updates Aha! records, and Aha! Develop, sold separately, sends features to coding agents

Decisions over MCP

Bagel MCP serves validated product decisions to Claude Code, Cursor and Codex, in 12X fewer tokens than the raw feedback

After launchVoter updates

Voters hear when a feature ships. On Enterprise+, a second scorecard compares expected and delivered value

KPI, by accountBagel AI goes further

Goes back to the accounts that asked and checks the KPI the decision was ranked on

Public feedback portalYes

Public and private ideas portals with voting, unlimited on every Ideas plan

No

No public portal. Bagel AI reads requests from the sales calls, tickets, chats and threads you already have

Security and complianceISO 27001

ISO 27001 and GDPR, with SSO on every plan and a US or EU data region

SOC 2 Type II

SOC 2 Type II, GDPR and CCPA, SSO, and a dedicated model per customer that never trains another customer’s model

Pricing basisPer user

Per user. Roadmaps runs $59 to $149 a month, billed yearly, and Ideas Advanced adds $20

No seat feesBagel AI goes further

From $24K a year, priced by feedback volume, with unlimited seats

Checked against Aha!’s public pages on October 22, 2026.

Where buyers ask more of Aha!

Aha! covers roadmaps and ideas portals in one suite. The differences show up in what each one costs and in what happens after launch.

What buyers run into
Everyone who plans in Aha! needs a paid seat, from $59 a month billed yearly.
What changes with Bagel AI
Plans start at $24K a year with unlimited seats.
What buyers run into
Revenue on ideas needs Ideas Advanced, and it comes from the accounts that voted plus the opportunities linked to an idea.
What changes with Bagel AI
Every request is tied to the accounts that asked and their revenue.
What buyers run into
Linear has no sync, and the request for one has been open since December 2022, marked Future consideration.
What changes with Bagel AI
Scoped specs with the evidence attached go to Jira, Linear or GitHub.
What buyers run into
A G2 reviewer calls the learning curve steep, with a lot of concepts to learn.
What changes with Bagel AI
Bagel AI builds and manages the taxonomy as it reads, so there are no tags to maintain.
What buyers run into
Comparing expected and delivered value takes a second scorecard on Enterprise+.
What changes with Bagel AI
After launch, Bagel AI checks the KPI the decision was ranked on with the accounts that asked.

Follow one request through both tools

Reading what customers say

Aha! collects ideas from portals, email and a Chrome extension. Ideas Advanced adds CRM and help desk apps and ticket webhooks, and Aha! Discovery imports Gong calls one at a time. Bagel AI reads every sales call, support ticket, chat and thread you connect.

100+ integrations

Counting each request once

On Ideas Advanced, Aha!’s AI finds similar ideas so you can merge them in bulk. Bagel AI merges repeat mentions of a request into one and ties it to every account that asked.

90% fewer duplicates

Ranking what to build

Aha! ranks ideas with votes and scorecards, and metrics that read record fields need Enterprise+. Bagel AI ranks every request by revenue or any KPI you pick, and each ranking links to the calls and tickets behind it.

Ranks by any KPI

Handing it to engineering

Aha! syncs two ways with Jira, Azure DevOps and GitHub, and Aha! Develop sends features to coding agents. Bagel AI sends scoped specs to Jira, Linear or GitHub, and Bagel MCP serves the validated decision in 12X fewer tokens.

12X fewer tokens

Checking it after launch

Aha! updates voters when a feature ships, and on Enterprise+ a second scorecard compares expected and delivered value. Bagel AI goes back to the accounts that asked and checks the KPI the decision was ranked on.

Checks the KPI

See how Bagel AI ranks requests by your KPI

In a 30-minute demo, you’ll see the calls and tickets behind every ranking.

Pricing

Aha! Roadmaps is priced per user, from $59 a month billed yearly

Aha! Roadmaps runs $59 to $149 per user a month, billed yearly, and linking ideas to Salesforce or HubSpot revenue takes Ideas Advanced. Move the slider to see what Aha! costs as more people plan in it. Bagel AI plans start at $24K a year with unlimited seats.

Aha!

$14,160a year

$59 per user a month on Roadmaps Premium, billed yearly

20 paid seats

  • Ideas Advanced, which adds Salesforce and HubSpot revenue to ideas, costs $20 more per user a month
  • Read-only users are free on the Enterprise plans, from $99 per user a month, billed yearly
  • A free 30-day trial

Checked October 22, 2026

Bagel AI

$24Ka year to start

One price for the whole company, set by feedback volume

20 people and everyone else, all included

  • Unlimited seats on every plan
  • Connecting more tools costs nothing extra
  • A paid 30-day pilot on your own data, credited to your first year

See Bagel AI pricing

With 20 people planning in Aha!, Roadmaps Premium comes to $14,160 a year. Bagel AI’s price stays the same as you add people, because it follows feedback volume.

Fit check

When Aha! is the better pick

Aha! is a good tool, and some buyers are better off with it.

Stay with Aha! if

  • You plan roadmaps and releases in Aha! and want ideas in the same suite.
  • Customers expect a branded portal where they post ideas and vote.
  • Only a handful of people need seats, so per-user pricing stays under $24K a year.

Pick Bagel AI if

  • Most requests come up on sales calls and support tickets, and you want every call read without importing each one by hand.
  • Engineering works in Linear.
  • Leadership asks whether last quarter’s bets moved the number for the accounts that asked.
  • Sales and CS need edit access without a seat each.
Getting started

Moving from Aha! to Bagel AI

Connect the call, ticket and CRM tools you already use. Bagel AI builds and manages the taxonomy for you, with a model trained on your own data.

What Bagel AI reads

GongSales calls
ZendeskSupport tickets
SalesforceAccounts and revenue
SlackChats and threads
Bagel AI

Bagel AI

The product brain

A model dedicated to youRanked by your KPI

Where decisions go

JiraScoped specs
LinearScoped specs
GitHubScoped specs
Claude Code, Cursor, CodexDecisions over Bagel MCP

Bagel AI reads each source in full, and decisions land in Jira, Linear or GitHub with the evidence attached.

1

Connect your sources

Your call recorder, help desk, CRM and chat tools.

2

Pick the KPI to rank by

Revenue, active users, NPS or a formula of your own. Every ranking shows the calls and tickets behind it.

3

Run a 30-day pilot

A paid pilot on your own data, with setup and training included. If you continue, its cost comes off your first year.

Product teams at Gong and Tipalti on Bagel AI

“Every SaaS company hits a point where feedback piles up but decisions stall. Bagel AI turns that mess into clear, revenue-focusedclear, revenue-focused priorities.”

Moran Perleman
Moran Perelman
GM & Head of Product Ops and Analytics, Gong

“Completes the long-time missing part between revenue, product and the customer. It is a product market fit pulseproduct market fit pulse on autopilot”

Leeor Tipalti
Leore Jacobs
VP Product Operations, Tipalti

Questions about Bagel AI and Aha!

It depends on why you’re leaving. If requests come from sales calls and support tickets, and you want them ranked by a KPI and checked after launch, Bagel AI fits. If you need a full roadmap suite with ideas portals in one place, Aha! may stay the better pick.

Aha! charges per user. Roadmaps runs $59 to $149 a month per user on annual billing, and read-only users are free on the Enterprise plans. Ideas Advanced, which links ideas to Salesforce or HubSpot revenue, adds $20 per user, or $25 on monthly billing. Bagel AI plans start at $24K a year on a 12-month contract, priced by feedback volume, with unlimited seats.

No. A request for a Linear sync has been open on Aha!’s ideas portal since December 2022, and it’s marked Future consideration. Since August 2026, Aha!’s AI assistant can reach Linear through an MCP connector. Bagel AI sends scoped specs to Linear, Jira or GitHub.

Yes. Aha!’s MCP server, live since May 2026, lets Claude, ChatGPT and Cursor read and update Aha! records, and Aha! Develop sends features to coding agents. Bagel MCP serves validated decisions to Claude Code, Cursor, Codex and other MCP clients, with the scope and evidence attached. In our build-or-buy benchmark, that took 12.3M raw tokens down to 904K.

Revenue or any KPI you pick, such as active users, NPS, churn risk or a formula of your own. Each ranked request links to the calls and tickets behind it. Aha! scores ideas with votes and scorecards, including custom equations.

Bagel AI is SOC 2 Type II certified and covers GDPR and CCPA. Each customer gets a dedicated model, so your data never trains another customer’s model. The report and DPA are in the Trust Center.

Ask your AI to compare Bagel AI and Aha!

See a ranked request turn into a spec

Bring the number you're measured on to a 30-minute demo.

SOC 2 Type IIGDPR

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