How to Make Money With Poe AI: Quora’s Chatbot Aggregator

Poe has just released another revenue model that gives users with zero-coding experience a new way to earn.

After first teasing the function back in October, Quora’s chatbot aggregator Poe has finally launched its new ‘price-per-message’ revenue model, which lets creators profit every time a user messages their custom chatbot.

This recent release is the latest iteration of Quora’s creator monetization program, which lets creators earn through several channels, including by paying them up to $20 for each new subscriber they attract to the app.

And the best part? Users can create prompt bots with Poe with zero coding experience, making it easier than ever for regular people to cash in from artificial intelligence. If you’re interested in making money on Poe, read on to learn more about the platform’s new revenue models, and to find out how to make a chatbot on the app in simple steps.

What is Poe?

Poe is an AI chatbot aggregator platform launched by the popular online knowledge platform, Quora. Aside from letting users access leading chatbots like OpenAI’s ChatGPT, Google’s Gemini, Anthropic’s Claude, and its own bot Assistant, the app also lets users create their own custom chatbots.

This capability isn’t reserved for expert programmers either. Users with no coding experience can bring a chatbot to life with the platform, all they need to do is provide Poe with a series of simple prompts or instructions.

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Poe Introduces a New Way For Creators to Make Money

This week, Poe launched price-per-message – a new way for model developers and bot creators to profit from the platform. The new function, which marks the app’s next step in its AI chatbot economy, allows creators to name their per message price, before gaining passively every time a user messages them.

Poe’s new price per message feature runs on a point system that’s determined by the users subscription model, but creators will be paid in dollars, Quora CEO Adam D’Angelo explained on social media site X. In addition to the new revenue model, Poe also released a new analytics dashboard that updates daily and tracks average earnings across paywalls, subscriptions, and messages, to give creators greater insights into their earning potential.

According to D’Angelo, these updates represent the next phase of Quora’s creator monetization program and a major step forward in their goal of “enabling a thriving economy with a wide diversity of AI products”. But this isn’t the first money-making strategy native to the platform.

“Our goal is to enable a thriving ecosystem of model developers and bot creators who build on top of models, and covering these operational costs is a key part of that.” – Quora CEO Adam D’Angelo on X

Last October, Poe began paying chatbot creators who made prompt bots on the app, as well as developers who made server bots that integrate with the platform itself. By compensating them every time they encouraged a user to upgrade to Quora’s paid service, the trailblazing model opened up a new way for creators to profit from bot-creation. Poe’s latest release expands the platform’s revenue-making potential for seasoned coders and first-time creators alike.

For individuals interested in cashing in on Poe’s news revenue model, we explain how this can be done, in simple terms, next.

How to Make Money With Poe

As it currently stands, there are two main ways to make money on Poe. By getting a share of profit when your bot leads to a new Poe subscription, or by setting a ‘per-message fee’ on your chatbot creation

Both of these paths depend on users creating either prompt bots – chatbots built over the top of other bots using simple instructions – or server bots – chatbots that require more specialist know-how to create. Unless you’re a computer programmer, we’d recommend creating a prompt bot, as the process is simple and doesn’t require you to fuss about with lines of code.

Here’s how to create a prompt bot on Poe in six simple steps:

  1. Open Poe and sign up for an account using your name, email address, and telephone number.
  2. Come up with a unique idea for your bot (tip: the more the niche its concept is, the more likely it is to do well) before coming up with a name, entering a description, and uploading a picture for your bot.
  3. Enter prompts describing the primary purpose of your bot. These instructions should explain how the chatbot should act, and how it should respond to user-generated queries. By as specific as possible during this step.
  4. Provide your chatbot with a knowledge base, to give the bot as much additional context in how it should answer queries. This input could involve one or more knowledge sources, and could be in the form of articles, documents, or anything else that will help your bot to give informed answers. While this step is optional, we highly recommend it as the knowledge base will act as the brains behind your chatbot.
  5. Once you’re happy with your prompt instructions, it’s time to create your bot. Publishing your bot will open it up to public use, and will enable you to start sharing it with friends and other Quora users.
  6. After your bot is live, we recommend testing it by asking it a series of sample questions. Aside from the obvious prompts, try and come up with more targeted questions to test its capabilities. If it doesn’t meet your standards, go back to step three and edit its foundational instructions.

While Poe’s revenue model is unique, the platform isn’t the only way users can profit by making their own chatbot. If you’ve caught the bot-creating bug, you can also check out our guide on how to make money using OpenAI’s GPT store.

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Written by:
Isobel O'Sullivan (BSc) is a senior writer at with over four years of experience covering business and technology news. Since studying Digital Anthropology at University College London (UCL), she’s been a regular contributor to Market Finance’s blog and has also worked as a freelance tech researcher. Isobel’s always up to date with the topics in employment and data security and has a specialist focus on POS and VoIP systems.
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