bagel.ai valid
Bagel AI
Bagel AI is the product brain for hyper-growth, SME and enterprise companies. It turns customer feedback from sales calls, support tickets, chats and threads, together with business data like usage and revenue, into quantified, prioritized product decisions at over 95% accuracy, using 12X fewer tokens than the raw data. Product teams work from those decisions directly, and AI coding agents like Claude Code, Cursor and Codex get them through the Bagel AI MCP server. Bagel AI trains a dedicated mo
For agents: Bagel AI, a product brain turning customer feedback and usage data into prioritized product decisions; offers an MCP server for AI coding agents, pricing from $
product managementcustomer feedbackmcp serverproduct decisionsai coding agents
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://bagel.ai/llms.txt
- Sections
- 6
- Links
- 114
- Size
- 27497 bytes
- Registered
- 2020-08-08
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Business software · AI agents and MCP
- For agents
- Transactional: buying or booking an agent could carry out
- Inferred actions
- Read documentation Buy products Support / contact About these labels
- Audience
- business · agents can: read docs, buy, contact support · en
- First seen
- 2026-10-26T02:09:06.813Z
- Last checked
- 2026-10-26T02:09:08.790Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T02:09:06.817Z. Cached copy · Source on bagel.ai
# Bagel AI
> Bagel AI is the product brain for hyper-growth, SME and enterprise companies. It turns customer feedback from sales calls, support tickets, chats and threads, together with business data like usage and revenue, into quantified, prioritized product decisions at over 95% accuracy, using 12X fewer tokens than the raw data. Product teams work from those decisions directly, and AI coding agents like Claude Code, Cursor and Codex get them through the Bagel AI MCP server. Bagel AI trains a dedicated model for each customer, connects to 100+ tools and is SOC 2 Type II certified.
> Start here:
- [What is a product brain?](https://bagel.ai/product-brain/): what a product brain is, how it works and who uses it
- [AI for product managers](https://bagel.ai/ai-for-product-managers/): how PMs use AI today and how Bagel AI ranks requests by their KPIs and checks what shipped
- [Enterprise](https://bagel.ai/enterprise/): security, SSO, audit trail and the Enterprise plan
- [Pricing](https://bagel.ai/pricing/): plans start at $24K a year with no per-seat fees
- [Platform overview](https://bagel.ai/platform-overview/): how the product brain works
- [Bagel AI MCP server](https://bagel.ai/platform-overview/bagel-mcp/): validated product decisions for AI coding agents
- [Data Room](https://bagel.ai/data-room/): research, build vs buy math and customer stories
- [Bagel AI vs Productboard](https://bagel.ai/compare/productboard-alternative/): how each one ranks what to build and what it costs, whether you replace Productboard or run both
- [Bagel AI vs Enterpret](https://bagel.ai/compare/enterpret-alternative/): how each one ranks customer requests and what it costs, side by side
- [Bagel AI vs Unwrap](https://bagel.ai/compare/unwrap-ai-alternative-why-product-teams-switch-to-bagel-ai/): how each one ranks requests, what reaches engineering and what it costs, side by side
- [Bagel AI vs unitQ](https://bagel.ai/compare/unitq-alternative-why-product-teams-switch-to-bagel-ai/): how each one handles product requests and what it costs, now that unitQ leads with support QA
- [Bagel AI vs Aha!](https://bagel.ai/compare/aha-alternative/): how each one ranks requests, and what Aha! costs as more people plan in it
- [Bagel AI vs UserVoice](https://bagel.ai/compare/uservoice-alternative-why-product-teams-switch-to-bagel-ai/): how each one collects and ranks feature requests, and what happens after launch
- [Bagel AI vs Canny](https://bagel.ai/compare/canny-alternative/): how each one ranks requests and what reaches engineering, side by side
- [Bagel AI vs Pendo Listen](https://bagel.ai/compare/pendo-listen-alternative/): how each one ranks requests and hands them to engineering, and how each is priced
- [Bagel AI vs Miro Insights](https://bagel.ai/compare/reforge-insights-alternative/): where Reforge Insights is heading inside Miro, and how each one ranks requests
- [All comparisons](https://bagel.ai/compare/): Bagel AI next to Productboard, Enterp
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=bagel.ai · GET /v1/domain/bagel.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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