An AI webinar assistant that answers from your facts
An AI webinar assistant answers the questions attendees type into the chat, while you present or, on an evergreen webinar, while nobody is there at all. The useful kind answers only from facts you wrote and says plainly when it does not know. Here is what one should and should not do, which facts to give it, and how the Webinly assistant works.
What an AI webinar assistant is for
Most chat questions in a sales or training webinar are the same dozen: how much is it, is there a payment plan, when does it start, is there a replay, can I get a refund. Each has one correct answer, and you already know it. An AI webinar assistant gives those answers in writing, under the question, the moment it is asked, so the presenter does not stop mid-sentence to read the chat.
That is a narrow job, on purpose. It is not a co-presenter, and not a general webinar chatbot that will talk about anything. It handles questions with fixed answers and hands the rest back to a person.
In a live webinar it takes the repeat questions off you. In an automated or evergreen webinar nobody is reading the chat, so the AI chat decides whether a question gets answered at all.
What it should do, and what it should not
| When an attendee | A good assistant | A bad assistant |
|---|---|---|
| Asks the price | States the price and payment options you wrote. | Rounds it, or offers a payment plan you never set up. |
| Asks about refunds | Repeats your refund policy as written. | Turns it into a guarantee you do not offer. |
| Asks something outside your facts | Posts your fallback line: it does not know, and says who will answer. | Improvises a confident answer. |
| Wonders who is answering | Is labelled as AI, under a name that is not a person's. | Uses a staff name and lets people think the host is typing. |
| Writes in another language | Answers in that language. | Answers an Arabic question in English. |
| Sends a private note to the host | Stays out of it. | Answers it in the public chat, exposing the question. |
Every entry in the bad column is the assistant saying more than it knows. Silence is not the failure to worry about. Confidence is.
The real risk: a bot that invents answers
A language model writes fluent text whether or not it has the facts. Ask it something it cannot know and it will often produce something plausible rather than admit the gap. In a webinar that is worse than no answer: the answer is public, attendees read it as the host’s word, and it lands on money, because the questions it gets most are price, payment plans and refunds.
A worked example. Your offer is 290 USD, paid once. An attendee asks whether they can pay in instalments, and a guessing bot says three monthly payments are available. You now either honour a plan you never set up, or tell a buyer your own webinar chat was wrong. On an evergreen webinar, that repeats in every session.
The fix is structural, not a cleverer prompt: a closed set of facts, a required answer for everything outside them, a visible AI label, a way to remove a wrong answer, and a test before the audience arrives. Judge any AI chat for webinars on those five. On Webinly, deleting an answer is a live-broadcast control; on a recording, a clear context and a test are what protect you.
What facts to give it
Write the context for a stranger who has to answer questions about your offer with no other information, because that is exactly the assistant’s position.
- The offer
Its name, what is included, who it is for and who it is not for.
- Price and payment
Every price with its currency, any payment plan, and any webinar-only price with what ends it.
- Start, access and replay
When it starts, how people get in, and whether there is a replay and for how long.
- Refund policy
In your exact words. It is the answer you least want paraphrased.
- Where things are
The checkout, the handout, a contact email. A link you include, written in full with https://, can be given back in an answer.
- What it must not do
For example: no individual business advice.
One fact per line, in the words attendees use, with no adjectives. For evergreen webinars write rules, not dates: “starts the first Monday after you join” stays true in every session. And never keep two versions of one fact, such as an old price and a new one.
An example context, for a made-up offer
- Offer: Launch Sprint, a 6 week group program for freelance designers.
- Price: 490 USD once, or 3 monthly payments of 180 USD.
- Start: the first Monday after you join. Live group call every Thursday.
- Refunds: full refund within 14 days of joining. Email hello@example.com.
- Replay: available for 3 days after the webinar.
- Do not give individual business advice. Say the host will reply by email.
Write the fallback line for your format
The fallback line is what the assistant posts when a question falls outside your facts. It is the sentence that replaces a guess, and it is a promise, so it should only promise what someone will do. Live, pointing to the host works. On a recording, the host is not in the room, so point to a channel a person reads.
- For a live webinar
“Good question. I do not have that one, so the host will answer it in the Q&A at the end.”
- For a recording or a replay
“I do not have the answer to that. Email hello@example.com and a person will reply within one working day.”
Webinly’s default is “I’m not sure. The host will follow up.” Fine for live sessions; replace it on recordings. A live webinar has one fallback line for the broadcast and its replay, so if people will watch the replay, switch it to the email version in the webinar’s Settings tab once the broadcast ends.
How the AI answers attendee questions in Webinly
The assistant is a setting on each webinar, off until you switch it on. Once it is on:
- Three fields, set per webinar
Brand and product context (up to 4,000 characters, at least 30 to switch it on), a bot username (AI Assistant by default) and the “I don't know” fallback line. Set them in the wizard's Live room step for a live webinar or Engagement step for a recorded one, or later in the webinar's Settings tab.
- Questions, by their shape
A message counts as a question when it ends with a question mark, including the Arabic ؟, or opens with an English question word such as how, what, can or is. “Great session” gets no reply.
- Only from your context, in their language
It is instructed to answer from your brand context and nothing else, never the open web, in under 60 words, and to post your fallback line for anything outside it. It is also instructed to reply in the language the question was written in and to translate the fallback to match.
- Threaded and labelled
The answer appears under its question with an AI badge, one answer per question. While it writes, the asker sees that the AI assistant is typing. Links written in full, starting with https://, are clickable.
- Live, recorded, evergreen and replay
It runs in the same webinar chat for live broadcasts, scheduled and evergreen recordings, and replays, and fires as soon as the question is posted.
- It stays out of what is not public
A private message to the host team never gets an AI answer, since answers go to the whole room. During a live broadcast with “Approve every message before it shows” on, it answers a question only once you or a co-host approve it. On the replay that switch holds nothing, so it answers straight away. With chat off, it is quiet.
- It fails toward honesty
If the call to the AI service fails, it posts your fallback line instead of nothing. During a live broadcast, you (from the control room) or a co-host can delete an AI answer, and it goes for every attendee.
Every answer is saved in the webinar’s chat history under the bot username. The assistant is on the Pro and Scale plans; Starter, the automated-only plan, shows an upgrade note instead. See pricing.
What it does not do
It does not watch your video or read the room. Each answer is built from one question plus your written context, not the rest of the chat. A bonus you announce on camera that is not in the context, it cannot confirm.
It does not take action. No refunds, no discount codes, no looking up an order. It knows the asker’s display name and nothing else about them.
It does not reply in private, and it skips most comments. “I want the payment plan” gets nothing; “is there a payment plan?” gets an answer, posted publicly under the question. The check reads how a message starts and ends, not what it means, so a comment that opens like a question, such as “What a great session!”, can still get your fallback line.
It is not a guarantee. It follows an instruction to stay inside your facts. Clear context gives dependable answers; a context that contradicts itself gives confused ones. Test it before an audience does. During a live broadcast, delete a wrong answer the moment you see it. On a recording there is no delete, so a wrong answer stays in that webinar’s chat; fix the context so the next person who asks gets it right.
Set it up in five steps
- 1. Write the context
One fact per line, from the checklist above. Read it as a stranger and delete anything that could be read two ways.
- 2. Write the fallback for the format
A person for a live webinar, a monitored email address for a recording. A live webinar's replay posts the same line as the broadcast, so change it once the broadcast ends.
- 3. Name the bot honestly
“Webinar assistant” or your brand plus “assistant”. A person's name next to an AI badge reads as a trick.
- 4. Test it as an attendee
Make a separate test webinar with the same context and register for it with a spare address, because test questions stay in a webinar's chat and on a recording you cannot delete them. Ask ten questions, each ending with a question mark: five your context answers, five it does not, in each language your audience uses. The chat opens once you go live on a live webinar, or once the session you registered for starts on a recording. The second five should all get the fallback line. Then delete the test webinar. A first plan allows one webinar in its first 14 days, so there, run and delete the test before you create the real one.
- 5. Tighten it after each session
Open the webinar's Analytics tab, choose Open chat history, and search for your fallback line and for its translation in each language your audience uses. Most hits are facts your context is missing.
Common questions
- Will an AI webinar assistant make up answers?
- It can, if it is allowed to. Webinly's is instructed to answer only from the brand context you write and to post your fallback line for anything outside it. Answers are only as clear as your context, so test it with real questions first.
- Is there AI chat for evergreen and automated webinars?
- On the Pro and Scale plans, yes. It runs in the same chat for live broadcasts, scheduled and evergreen recordings, and replays. On a recording it is often the only thing in the room that can answer, so its fallback line should point to an email address, not to a host who is not there.
- Can attendees tell the answers come from AI?
- Yes. Every AI answer carries an AI badge and posts under the bot username you set, AI Assistant by default.
- What languages does it answer in?
- It is instructed to answer in the language the question was written in, with your fallback line translated to match. It spots a question by its question mark, the Arabic ؟ included, or by an opening English question word such as how, what, can or is.
- Which Webinly plans include the AI chat assistant?
- Pro and Scale. Starter, the automated-only plan, does not. It is switched on per webinar, so you can use it on one webinar and not another.
Let the chat answer from your facts
Write the facts once, choose a fallback line, and let the assistant take the repeat questions in your live and evergreen webinars.
Your card is saved when you pick a plan. On a first plan the first charge is 14 days later, with one webinar and 50 registrations in between. Cancel any time from the billing page.
Related reading
- Automated webinars: how they work: scheduling, the chat simulator and timed offers around the assistant on a recording.
- Live webinars: running the room yourself, with chat, polls and offers.
- In-webinar offers and checkout: where most price questions lead.
- Live vs automated vs evergreen webinars: the format decides what your fallback line should say.
Last updated 2026-09-27. What the assistant answers, what it posts and where it runs were read from the product source on that date. Something out of date? Email us.