CONNECT TIKTOK ORGANIC TO MUSE
Set up TikTok Organic reporting in Muse
Adzviser retrieves the source data through its MCP reporting tools. Muse uses those results to answer your questions. Connect the source in Adzviser, then authorize Muse to use that connection.
Connect TikTok Organic in Adzviser
In Adzviser, sign in to TikTok Organic and allow Adzviser to read its reporting data. Add the source to the workspace you want to use in Muse.
Open Adzviser setup →Authorize Adzviser in Muse
Open Muse.ai and send: “Can you connect to custom Adzviser MCP at https://mcp.adzviser.com/http?” Select Connect on the Adzviser card, sign in to Adzviser, and select Complete Authorization via MCP. Return to Muse.
https://mcp.adzviser.com/httpVerify the first result
Ask Muse to list your Adzviser workspaces and their sources. Choose the workspace and confirm the profile. Request a small report for a known period before expanding the analysis.
The Adzviser reporting connection is read-only. It can retrieve data for analysis; it cannot edit source records or campaigns.
A USEFUL FIRST TIKTOK ORGANIC REPORT
Compare response across a defined group of videos
Build a report you can check
Select videos published in the last 30 days and request video ID, caption, publication date, duration, views, likes, comments and shares. Treat publication dates as a way to define the cohort, not proof that every view occurred during those dates. Ask Muse to identify videos with stronger commenting or sharing relative to their view counts.
Account for video age and the available measurements
An older video has had more time to accumulate activity. Compare similarly aged videos or explicitly state the limitation. Video duration is the length of the video, not watch time or average viewer retention. The current catalog does not provide enough evidence to infer completion rate from views and duration.
Plan a test around a concrete response
Ask Muse to compare captions and topics for the videos with stronger share or comment activity. Choose one new idea and the response metric you want to test. Keep current profile followers separate from follower growth over time unless you have historical snapshots.
Metrics for this report: Video views; Video likes; Video comments; Video shares; Video duration (seconds).
Relevant breakdowns: Video ID; Video caption; Video create date.
These are starting fields, not a promise that every combination belongs in one report. Use separate requests for different reporting levels and check the full field catalog for additional coverage.
COPY INTO MUSE
Run your first TikTok Organic analysis
Paste this after connecting. Change the period or research subject to match your question, and let Muse confirm the selection before retrieving results.
Use Adzviser to analyze TikTok Organic. List my workspaces and ask which connected profile to use. Select videos published in the last 30 days and request video ID, caption, publication date, duration, views, likes, comments and shares. Treat publication dates as a way to define the cohort, not proof that every view occurred during those dates. Ask Muse to identify videos with stronger commenting or sharing relative to their view counts. Use these metrics in compatible reports: Video views, Video likes, Video comments, Video shares, Video duration (seconds). Relevant breakdowns: Video ID, Video caption, Video create date. Check field compatibility and use separate tables for different reporting levels. State the actual reporting dates or observation window. Show the supporting rows, then give a short conclusion and one next investigation. Label missing data and separate observed changes from possible explanations.
