The Scenario
You are a market research analyst and the product team handed you 30 product category keywords in an Excel workbook this morning. They want to know the top three most relevant companies or documents for each keyword — structured, sourced, and ready to drop into the quarterly landscape report. The report goes to the VP of Product on Friday.
The bad version:
- Type the first keyword into a search engine, find the top three relevant results, note the title and URL, paste them into columns B, C, and D.
- Open each result to verify it is actually relevant rather than an ad or a directory listing.
- Move to keyword two, repeat. Thirty keywords, three results each, two tabs per result: somewhere around 200 browser actions.
The VP does not need a list of tabs you visited. She needs a clean landscape table. The gap between what the team asked for and how long it actually takes to do manually is the part nobody planned for.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the keyword list, and through its built-in Parallel integration it runs a semantic search for each keyword and writes the structured results — titles and source URLs — back into the workbook.
For every keyword in column A of this workbook, run a Parallel semantic search and write the title of the top result into column B and its URL into column C, the second result title into column D and URL into column E, and the third result title into column F and URL into column G.
What You Get
- Columns B and C filled with the top result title and source URL for each keyword.
- Columns D and E with the second result title and URL.
- Columns F and G with the third result title and URL.
- Rows where Parallel returned fewer than three results show what was found and leave the remaining columns blank, so you can see the coverage gaps.
What If the Data Is Not Quite Ready
Some keywords in column A are too broad to return useful results — you want to qualify them first
For every keyword in column A, check whether the keyword is too broad to return focused results (e.g., a single generic word like "software" or "platform"). Write Broad in column H for those rows and run the Parallel semantic search only on the specific keywords. For all non-broad keywords, write the top three result titles and URLs into columns B through G.
You want to filter out results from directories, aggregator sites, or paid listings
For every keyword in column A, run a Parallel semantic search and retrieve the top five results. From those five, exclude any result whose URL domain includes common aggregator patterns (g2.com, capterra.com, clutch.co, trustpilot.com, yelp.com). Write the top three remaining results — title and URL — into columns B through G.
Keywords are multi-language and you want to run searches in both English and French
For every keyword in column A, run two Parallel semantic searches — one in English and one in French. Write the top English result title and URL into columns B and C, and the top French result title and URL into columns D and E. Leave columns blank if Parallel returns no result in a given language.
You want semantic search plus competitive tagging plus source reliability scoring in one shot
For every keyword in column A, run a Parallel semantic search and write the top three result titles and URLs into columns B through G. Then, for each result, tag whether the source is a Vendor, Analyst, Media, or Academic source and write those tags into columns H, I, and J. Finally, count how many results per keyword came from Analyst or Academic sources and write that count into column K.
The pattern: search, filter, tag, and summarize in one prompt — so the landscape table is analysis-ready, not just populated.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of search keywords or research topics, then ask it to run Parallel semantic searches and write the top results back into the workbook. You can also look at how to run Parallel task groups or return to the Parallel overview.