Compare X competitor mentions and keywords in Google Sheets
Use EmbedSocial's X competitor comparison agent to get a full picture of how your brand stacks up against a competitor on X: beyond just hashtags.
One connection. Runs on your live EmbedSocial data.
What does it do?
Connect EmbedSocial with Claude or ChatGPT and Google Drive to create an agent that pulls X posts tracked by hashtag, mention, and keyword for two competing brands and compares them side by side. The agent calculates share of voice, sentiment, and recurring themes across all three tracking types, then exports the comparison into a spreadsheet.
Useful for
- Getting a complete competitor view: X allows tracking hashtags, mentions, and keywords for brands you don't own, unlike YouTube;
- Benchmarking sentiment by brand: compare positive, negative, and neutral sentiment side by side;
- Spotting conversation differences: see what themes come up around each brand across all tracked terms.
How to set up
- 1
Create your EmbedSocial account
Sign up for a free EmbedSocial trial to connect your X tracking and turn on the MCP.
Start free trial - 2
Create a widget tracking both brands
Add hashtags, mentions, and keywords for each brand you want to compare.
- 3
Let the widget collect posts
Give it a few days to pull public X posts matching either brand's tracked terms.
- 4
Connect Google Drive in your AI tool
Make sure your AI environment can create or update a spreadsheet.
- 5
Set up the EmbedSocial MCP in Claude or ChatGPT
Paste the MCP URL into your AI tool and authorize access with your EmbedSocial account.
- 6
Run the prompt
Ask your AI tool to compare the two brands and export the results into Google Sheets.
Note: Depending on the connectors you are using, you may be prompted to authenticate your platform connections by logging into your accounts.
Real-world use case
Imagine you want a full competitive read on X: not just hashtag volume, but who's actually being talked about and how people feel about it. Instead of tracking three separate signals manually, you ask Claude or ChatGPT:
Using the EmbedSocial MCP, pull X posts from [widget] tracking hashtags, mentions, and keywords for [brand one] and [brand two]. Calculate share of voice, sentiment breakdown, and main conversation themes for each brand across all tracked terms. Export the results into Google Sheets with a raw data tab and a summary comparison.
Your AI tool pulls the tracked posts across all three signal types, calculates the comparison, and creates a spreadsheet ready to share internally or with a client.
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