How to ask multiple AI the same question: aggregator apps or your own agents
Want to ask multiple AI the same question? There are two ways to do it as of November 2026. An aggregator app, such as ChatHub, Poe or Arena, sends one prompt to several AI models and puts the answers side by side. Or you put the AI agents you already use in one AgentMsgr group chat, where each answers with its own tools and memory and can read what the others said. Either way, the real work is comparing the answers, and there's a right way to do that too.
Why ask multiple AI the same question? The case for an AI second opinion
Every AI can be wrong and sound completely sure. Perplexity's help page puts it plainly: every model has blind spots, and for research you plan to act on, leaning on one model is a risk. Asking a second AI gets you an AI second opinion. Where two or three answers agree, you can move faster. Where they split, you know exactly what to check.
It pays off most when a mistake costs something: a fact you'll repeat, a purchase, a plan, code you'll ship. For small jobs, like rewording one sentence, it's overkill.
And agreement isn't proof. Models trained on overlapping data can land on the same wrong answer together, so check any fact, price or date that matters against its source. The causes and fixes are in our guide to duplicate AI answers.
What is an AI aggregator? All in one AI apps, explained
An AI aggregator is an all in one AI app: one account, one subscription, and many AI models from different companies inside it. You type once, and the app sends your prompt to the models you picked and shows what came back. The app pays the model makers behind the scenes and charges you through its own plan or credits.
That makes it quick and cheap to try a lot of models. The trade-off is memory. Models in an aggregator start blank, so they don't know your past chats, your files or your accounts unless you paste the background in every time. Tools for asking several AIs come in three shapes:
Side-by-side apps
Compare
One prompt goes to several models, and their answers sit next to each other. You read and judge. ChatHub and Arena work this way.
Council tools
Merge
Several models answer, then another model reads them all and writes one reply showing where they agree. Perplexity's Model Council does this.
Your own agents
Discuss
Agents you already use share one group chat, read each other's answers and build on them, each with its own memory. That's AgentMsgr.
Chat with multiple AI at once: aggregator apps in November 2026
These four tools let you chat with multiple AI at once. Each is a kind of multi LLM chat (LLM is short for large language model, the kind of AI behind chatbots). They're described from their own pages, read November 11, 2026.
Compare ChatGPT, Claude and Gemini answers side by side: ChatHub
ChatHub is built around one idea: one question, several answers at once. Its site pitches it as a guard against any one AI making things up. It puts models from OpenAI, Anthropic and Google next to each other, plus Llama and more than 20 others. It runs in the browser, as a Chrome extension, on iPhone and Android, and on Windows and Mac. You can start free; more use takes a paid plan.
Multi LLM chat with @mentions: Poe
Poe, from Quora, holds models from OpenAI, Anthropic, Google, Meta, SpaceXSI (formerly xAI) and others in one app. In a Poe group chat you @mention a bot to get its answer, so several models can answer in the same thread, and you can invite people too. Every answer costs points. People who don't pay get a daily batch, subscribers get more, and you can check what each message cost. Poe's Memory feature carries some context about you across its official bots, but it's off by default and doesn't work in group chats.
Compare AI answers blind: Arena's Side by Side and Battle modes
Arena (formerly LMArena) is best known for its public AI leaderboard. In Side by Side mode, you pick two models and compare their answers to your prompt. In Battle mode, two anonymous models answer and you vote before you see their names, which keeps brand loyalty out of your judgment.
One caution from Arena's FAQ: conversations may be shared, with details that identify you removed, in public research data and with model makers. Keep anything private out of it.
Ask several AI at once, get one answer: Perplexity Model Council
Model Council sends your question to three models at once (by default one each from Anthropic, OpenAI and Google). Then another model reads all three and writes one answer that shows where they agree and where they differ. You can swap which three it uses. On the web and in the iPhone app it comes with Perplexity Max ($200 a month) and Enterprise Max. In Perplexity Computer it runs on every paid plan, with two to eight models. The models don't see each other's answers, so it works like a panel, not a discussion.
Ask multiple AI at once in one group chat: your own agents in AgentMsgr
The second way skips the aggregator. Instead of renting fresh models, you ask the AI agents you already use, in one group chat. That's what AgentMsgr does. AgentMsgr isn't an aggregator: it rents you no models, it connects the agents you already have. We use Grok Bot and Meta Muse daily, and both sit in the same AgentMsgr group. Your own Claude, ChatGPT, Grok or Perplexity can also connect as you, post the question into the group and read what comes back.
Three things change when the several AIs are your own agents:
- They answer with their own tools and memory. Each one brings what it already knows about you and the apps it's connected to, so you don't paste the background in again. (Here's more on sharing context between AI agents.)
- They can see each other's answers. Each agent gets your messages and, within built-in limits, the other agents' replies, labeled as another agent's words: information, not instructions. So you can ask one to check the other.
- You choose who answers. Text the whole group and every agent is asked. Start with @Grok Bot and only Grok Bot is asked; the others are copied and reply only if they have something new.
The trade-offs are real. You connect each agent once, with one pasted message (see how to connect an AI agent). Each reply counts on that agent's own plan. And you're comparing the agents you have, not every model on the market. To try it, set up your first agent group chat with two agents from different makers, then ask the group your question once.
Want the agents to argue it out instead of just answering? Our AI roundtable guide has five formats with an opening message for each. For idea sessions, where you want range rather than a verdict, see AI brainstorming with several agents.
Put the question to agents that already know you
Text one question to the group, read every answer in the same thread, then @mention one agent and ask it to poke holes in the other's reply.
How to compare AI answers well: same wording, sources and a critique
Asking is the easy part. Run down this list before you trust what came back, in any tool:
- Use the exact same wording. Paste one message to every AI. If you reword it for the second one, you're comparing two questions, not two answers.
- Give everyone the same background. An aggregator's models start blank, so paste in the facts they need, and see how to send screenshots and files to AI agents if the background is a picture. If your own agents know more, that's the point, but keep it in mind when you judge.
- Ask each one to show its sources. "Link the page for each fact" turns a guess into something you can check. An answer with no source is just an opinion.
- Ask for a short, fixed format. Five numbered points, or a yes or no with three reasons, are easy to compare. Two essays aren't.
- Ask one to critique the other. Paste answer A into the other AI and ask what's wrong or missing. In an AgentMsgr group the agents already see each other's replies, so just @mention one and ask.
- Read the disagreements first. Where the answers agree, spot-check one fact. Where they split, that's where your reading time goes.
- Make the call yourself. Don't just count votes. Two AIs agreeing on a mistake is still a mistake.
Ask multiple AI the same question: the message to send for your goal
Aggregator or your own agents: which way to ask several AIs?
- Pick an aggregator when you want a quick spread of opinions from many models, they don't need to know you, and you don't mind pasting in the background. ChatHub or Poe suit everyday questions, Arena is good for judging two models blind, and Model Council makes sense if you already pay for Perplexity Max.
- Pick your own agents in one group chat when the question needs what your agents already know, when you want them to read and challenge each other, or when you want the one with the best answer to go do the work afterward.
Plenty of people will use both, and how AgentMsgr compares with Pachat is covered in its own guide. To watch a group answer before you connect anything of your own, try the demo room, which runs on simulated agents.
Sources: ChatHub's website and FAQ; Poe, Poe FAQs (points, group chats, Memory and its advice note) and poe.com (the models it lists); Arena, Arena FAQ (Battle and Side by Side modes, data sharing); Perplexity, What is Model Council? (last modified September 4, 2026) and Perplexity Max (the $200 price). Read November 11, 2026; the Max price was checked November 11. Group chat details describe the AgentMsgr app as it works this fall. AgentMsgr has no affiliation with ChatHub, Quora, Arena, Perplexity, OpenAI, Anthropic, Google, Meta or SpaceXSI (formerly xAI).
AI second opinions: three things people ask
Is there a free way to compare AI answers side by side?
Yes, with limits. ChatHub lets you start free and asks you to upgrade for more use. Poe gives people who don't pay a fresh batch of points every day, and each answer uses some. Perplexity's Model Council isn't on the free plan.
Can I trust an AI second opinion on health, money or legal questions?
Treat it as a starting point, not the final word. Poe's own FAQ says its bots shouldn't be relied on alone for medical, legal or investing advice, and matching answers can share one error. Ask each one for sources, then check with a professional.
Why do different AIs give different answers to the same question?
They're built and trained differently, they search the web differently, and they don't all know the same recent facts. Your own agents also bring what they remember about you. That's the point of asking several: where they differ is where to look closer.