Google Ads competitor analysis in five steps
Pull every rival's ads, sort them by staying power and break the copy into parts you can test against.
By ClaudeGPT Si Newsroom, Editorial team
3 min read
Google Ads competitor analysis means collecting the ads your rivals run, working out which ones they keep paying for, and using that to write better ads of your own. The quickest way to get the raw material is seogeoaeo.ai's Competitor Google Ads tool, which you can run in a browser or call from code, and which puts each rival's longest-running ads at the top.
Step 1: List the domains that compete for your clicks
Start with three to five sites. Include the obvious direct competitors, plus any marketplace or reseller that tends to appear above you on your main searches. If you are not sure who belongs on the list, seogeoaeo.ai's Competitor Finder suggests sites that compete with yours in Google.
Step 2: Pull each rival's Google ads
Run each domain through Competitor Google Ads on seogeoaeo.ai. Set the country you sell in, or leave it on every country. A run costs 15 credits and is refunded if the domain has no ads.
If you want this inside your own tooling, the same tool sits behind a REST endpoint:
curl -X POST https://seogeoaeo.ai/api/v1/tools/competitor-google-ads/runs \
-H "Authorization: Bearer $SEOGEOAEO_API_KEY" \
-H "Content-Type: application/json" \
-d '{"input":{"url":"https://www.example.com","market":"us"}}'
It is also exposed over MCP, so an AI coding agent can fetch a competitor's ads mid-task without you leaving the editor.
Step 3: Sort ads by staying power
The report gives every ad's first and last shown dates and its days running, and it lists the longest-running text ads first. Google does not publish clicks or spend, so run length is the best public clue to what works. An advertiser that keeps an ad live for months is unlikely to be losing money on it.
Step 4: Break the copy into parts
For each long-running text ad, record four things in a simple table:
| Part | What to note | Example question |
|---|---|---|
| Offer | Discount, trial, free plan, guarantee | What do they give away to get the click? |
| Proof | Ratings, awards, customer types | How do they make the claim believable? |
| Pain | The problem in the headline | Which frustration do they lead with? |
| Landing page | Where the ad sends people | Is it the home page or a focused page? |
Patterns appear quickly. If every rival leads with the same pain point, your ad can stand out by leading with a different one.
Look at the landing pages as well as the ads. A rival that sends paid clicks to a dedicated page for each offer is usually testing more carefully than one that sends everything to its home page, and the page itself often spells out the pricing, guarantees and proof that the ad only hints at.
Step 5: Check who is paying
The report names every advertiser account behind the ads. Extra accounts often belong to agencies, regional branches or resellers. That tells you whether you are bidding against one company or a small network around it.
What this method leaves out
Public ad data does not include bid keywords, budgets or click-through rates. For the search side, seogeoaeo.ai's Competitor Keywords lists the searches a site ranks for in Google, which often overlap with what it advertises on. If your team needs estimated bid keywords and spend across a big account, a dedicated PPC suite like SpyFu, which markets that kind of data, is the better tool for that part.
You can also cross-check any single advertiser for free in Google's Ads Transparency Center, the public archive the seogeoaeo.ai report is drawn from.
Turn findings into tests
Write two or three new ads per ad group that answer what you learned: a stronger offer, a clearer proof point or a pain your rivals ignore. Run them against your current ads, then repeat the analysis every quarter to see which competitor ads have stopped and which new ones have started.