The Scenario
A new phrase showed up in three discovery calls this week: prospects keep mentioning they are evaluating "AI agents" for their operations team. Your demand-gen manager wants to know which companies are actively posting about this on LinkedIn right now. You need a list by end of day.
The bad version:
- Search LinkedIn manually for each keyword, scroll through the results, and copy company name, post date, and a text snippet into the workbook row by row
- Notice that LinkedIn search results are personalized and your network is filtering the output
- Try adding a second keyword and realize you now have two separate result sets you need to deduplicate
Manual LinkedIn keyword research at any scale is a sampling exercise with unknown bias.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads your keyword list and calls Crustdata's LinkedIn post search endpoint, writing the results into a structured output worksheet.
Use Crustdata to search LinkedIn for posts matching 'AI agents' and 'workflow automation' posted in the last 14 days and build a worksheet called Signal Posts with company name, post date, and engagement score — deduplicate rows where the same company appeared for multiple keywords
What You Get
- A Signal Posts worksheet with one row per unique company-post combination
- Columns: matched keyword, company name, post date, first 200 characters of the post, engagement score
- Deduplication applied so a company posting about both keywords appears once with both keywords noted
- Row count per keyword at the bottom of the worksheet
What If the Data Is Not Quite Ready
Your keyword list has duplicates and near-duplicates
Before searching Crustdata, deduplicate the keyword list and remove keywords that are substrings of other keywords, then run the LinkedIn post search for the cleaned set and write results to Signal Posts
You want to filter results to companies above a certain follower count
Use Crustdata to search LinkedIn posts for each keyword over the past 14 days — write results to Signal Posts only for companies with more than 5,000 followers, and note how many results were filtered out
You need to separate results by industry to route them to different sales teams
Search Crustdata for LinkedIn posts matching your keywords from the past 14 days — write results into Signal Posts with a Company Industry column populated from Crustdata's company data. Then create separate worksheets for SaaS, FinTech, and Other industries.
One prompt to search, enrich, score, and deliver a prioritized outreach list
Search Crustdata for LinkedIn posts matching the keywords in your list posted in the past 14 days. For each company in the results, also fetch their headcount and last funding stage. Write all results into Signal Posts with Keyword, Company, Post Date, Headcount, Funding Stage, and a Priority column where companies with over 100 employees and Series A or later get "High" and everything else gets "Research".
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook with your keyword list, then ask it to search LinkedIn via Crustdata and populate a Signal Posts worksheet with matched companies. You can then ask it to enrich those companies with headcount and funding data to score the list.