Recommend
ChatGPT plugin by Recommend, Inc. · Your commercial data, in chat
Data updated · Last checked
In directory search?1 common search we check every hour show Recommend. Position now, the last 7 days and the #1 result.
| Search | Position | Last 7 days |
|---|---|---|
| marketing data | #31 |
Listing check?What to fix in the listing and how much each item adds to the listing score (55/100; category leaders average 66).
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0 / 30Put a search term in the name Search rank?Directory search ranks name matches first: 53% of top-3 results have the search term in the name. Searches for a brand name itself are not tracked.The name has none of the tracked search terms.8 of 20 category leaders do this
In ChatGPT conversations?How often ChatGPT mentions Recommend when people ask common Productivity questions.
About Recommend
Recommend comes up for “marketing data” at #31 of 33, outside the top 10, and Manifold marketing data is #1.
Bring your marketing, sales and commercial data into ChatGPT with Recommend. Recommend is the autopilot for commercial work. It connects to a company's commercial data and runs marketing, sales and commercial operations work end to end.From the plugin’s directory listing
Try asking
Competitors?Plugins that show up in the same tracked searches as Recommend.
No competitors yet.
In the directory
- Featured page
- Not on it
- Category page
- Search only
- Same job
- 954 marketing & ads plugins
- Listed since
- Oct 27, 2026
Recent changes
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What does Recommend do?
Your commercial data, in chat. Bring your marketing, sales and commercial data into ChatGPT with Recommend. Recommend is the autopilot for commercial work. It connects to a company's commercial data and runs marketing, sales and commercial operations work end to end.
How do I use Recommend in ChatGPT?
Install it from the ChatGPT plugin directory, then mention @Recommend in a chat. Its listing suggests asking “Which of our tracked products are people talking about most right now, and which of them are in season?”, “What is being written about this topic, where does the coverage stop, and which questions still have no good answer online?” or “For this Predict Flow brand, which requirements did the research actually reach, and which were left as gaps?”