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Your marketing on autopilot, run from your own AI. Research the ads winning in your market, create finished ads in your brand, publish to 10 channels and run paid campaigns on 11 ad platforms. 830+ tools over MCP.

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Website, pricing, platforms and company facts side by side.
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| Website | hermoso.ai | open-gpt.app |
| Pricing | — | |
| Company | Startup from Canada | — |
| Listed in | — |
In their own words, as submitted to SaaSHub.


Hermoso is a marketing team you run from your own AI. Connect it to Claude, ChatGPT, Codex, Cursor or any MCP client (or use the web studio), plug in your brand once, and say what you want done. Research: the ads already winning in your market, from the Meta, Google, LinkedIn and TikTok ad...
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As answered by people managing Hermoso and https://open-gpt.app/.
Hermoso's answer
Founders, small e-commerce and DTC brands, marketers and agencies who want their marketing to keep running without hiring a full team.
It fits especially well for people who already work inside an AI assistant like Claude or ChatGPT and want that assistant to handle the research, content, posting and ads for them. Agencies can run several brands from one account and share each brand with clients or teammates.
Hermoso's answer
Hermoso's answer
Hermoso is marketing on autopilot, run from inside the AI you already use. Connect it to Claude, ChatGPT, Cursor or any MCP client (or use the web app, CLI or API) and one agent can research the ads already winning in your market, make on-brand image and video ads, post and schedule them to your own channels, build and run paid campaigns on Meta, Google, TikTok, LinkedIn and more, and read the results back.
Most tools do one of those steps. Hermoso does all of them, and each one also works on its own.
Hermoso's answer
Hermoso's answer
Hermoso started as a small tool for one job: find the ads a competitor has been running the longest, because the ads that keep running are the ones that work, and use them as inspiration.
Making the ads was the obvious next step, then posting them, then running the paid campaigns and reading the results. Once AI assistants could use tools, it made sense to put all of it behind one connector, so the assistant you already talk to can run your marketing from research to results.
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