The Scenario
You are a community manager. Over the past month you ran 12 live webinars, each recorded by a Recall.ai bot. The chat Q&A from each session is full of product questions, feature requests, and testimonials you want to repurpose for content.
You have the 12 bot IDs in column A of a Google Sheet. You need the full chat log — sender, message text, timestamp — for every session, in one table you can search and tag.
The bad version of the next morning:
- You open Recall.ai recording 1
- You find the chat log section, select all, copy
- Switch to the sheet, paste into a cell — it comes in as one long block with no column separation
- You try to parse sender from message manually
- By recording 4 the formatting is inconsistent across sessions because different platforms log chat differently
- You give up and save a screenshot of each chat instead.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the bot IDs and fetches the in-meeting chat messages from Recall.ai for each recording.
Open the SheetXAI sidebar and type:
For each bot ID in column A, fetch all chat messages from the Recall.ai recording and write sender, message text, and timestamp into columns B, C, and D. Add one row per message, repeating the bot ID in column A.
SheetXAI calls the Recall.ai chat messages endpoint for each bot ID and writes a normalized message-by-message table. A 12-session webinar series with 50 messages per session gives you 600 rows, structured and ready to search.
What You Get
A message-by-message chat archive:
- Column A — bot ID (repeated per message for filtering by session)
- Column B — sender name
- Column C — message text
- Column D — timestamp
Every session's chat is in the same table with the same structure, regardless of whether the underlying platform was Zoom, Google Meet, or Teams. You can filter by session, sort by sender, or search for a keyword across all 12 sessions in one sheet view.
Want a session title alongside the bot ID so you can filter by event name? Add to the prompt: "Also fetch the meeting title for each bot ID and write it into column E for each message row." SheetXAI pulls it from the metadata endpoint.
What If the Data Is Not Quite Ready
Chat logs from live sessions are noisy. SheetXAI handles cleanup and extraction in the same prompt.
When you only want questions, not general chat
The chat logs contain a mix of greetings, reactions, and actual questions. You only want the questions for content repurposing.
For each bot ID in column A, fetch all chat messages from the Recall.ai recording. Write only messages that appear to be questions (ending with "?" or starting with "How," "What," "Why," "When," "Can," "Is," "Does," "Will") into columns B, C, and D with sender, text, and timestamp.
When you want messages grouped by sender for attribution
You are building a speaker attribution table, not a chronological log.
For each bot ID in column A, fetch all chat messages. Group messages by sender and write one section per sender into the sheet with their name, the bot ID, and all their messages listed below. Separate each sender's block with a blank row.
When some sessions had very low chat activity and should be skipped
A few of the 12 sessions had under 5 messages — not worth including in the analysis.
For each bot ID in column A, fetch the Recall.ai chat messages. If the total message count for that session is fewer than 5, write "SKIPPED — low activity" in column B and move to the next bot ID. Otherwise write the full message table.
When you want the archive plus a content brief derived from the top questions
You want the raw chat logs and a content team brief in one shot.
For each bot ID in column A, fetch all chat messages from the Recall.ai recording and write sender, text, and timestamp into columns B, C, and D. Then look across all messages in that session and write a three-bullet content brief in column E for the first row of each session's block, listing the top 3 questions that came up most frequently or got the most engagement.
The pattern: pull the raw chat data and layer the editorial judgment on top of it in the same prompt.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with Recall.ai bot IDs, then ask it to pull the chat logs. The Recall.ai integration is included in every SheetXAI plan. For transcript-level analysis, see how to pull full transcripts for thematic analysis or the Recall.ai in Google Sheets overview.