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How to Use Semrush for Paid Search

Updated on:
June 5, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to research competitors and build paid search campaigns with Semrush.

Quick summary

Semrush's paid search tools let you analyze competitor ad strategies, uncover high-performing PPC keywords, and build optimized keyword lists for your own campaigns. This workflow covers everything from Advertising Research to Position Tracking so you can launch data-driven paid campaigns faster.


Steps

  1. Navigate to Advertising > Advertising Research in the left sidebar.
  2. Enter a competitor's domain in the search field.
  3. Go to the Ads Copies tab to view competitor ad creatives.
  4. Review the competitor's Paid Keywords and Ad copy to identify targeting opportunities.
  5. Click on Keywords below the ads to expand all trigger keywords.
  6. View all keywords along with related data such as position, CPC, and trend.
  7. Export the keywords for use in your own campaigns.
  8. Head over to PPC Keywords in the left sidebar.
  9. Enter your website domain and click Set up.
  10. Clean your keyword list by removing negative keywords and grouping them, then upload your keyword list.
  11. Start configuring your ad campaign using the organized keyword data.
  12. Go to the Position Tracking tool from the sidebar.
  13. Add your website and target keywords, set up email reports, and launch your campaign.

📌 Why this matters

Semrush's paid search toolkit gives digital marketers a competitive edge by surfacing exactly which keywords rivals are bidding on, what ad copy they are running, and how their positions shift over time. Understanding competitor PPC strategies allows teams to allocate ad budget more efficiently and craft higher-converting ad copy from the start. The built-in PPC Keywords tool streamlines keyword organization, negative keyword removal, and list uploads so campaigns go live faster. For any team managing Google Ads or paid search, Semrush eliminates guesswork and replaces it with actionable, data-driven decisions.
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