How to Find Search Ads of Competitors Effectively in 2026

If you’ve ever tried to keep tabs on your competitors’ search ads, you know it’s a bit like playing digital whack-a-mole. One day, you spot a clever new headline in Google’s search results; the next, it’s vanished, replaced by a fresh offer or a new brand entirely. In 2026, the stakes are even higher: global digital ad spend is projected to hit a staggering , and competition for those top search slots is fierce. For sales and marketing teams, being able to quickly find, analyze, and respond to competitor search ads isn’t just a nice-to-have—it’s mission-critical. But let’s be real: the old-school, manual way of tracking competitor ads is about as fun as watching paint dry (and about as effective, too). With Google’s algorithms getting smarter, ad personalization at an all-time high, and the sheer volume of campaigns exploding, business users need better tools and smarter workflows. That’s why I’m excited to share both the classic methods and the new AI-powered approaches (including what we’ve built at ) to help you find search ads of competitors—faster, deeper, and with a lot less hassle.

What Does It Mean to Find Search Ads of Competitors in 2026?

Let’s break it down: when we talk about “finding search ads of competitors,” we’re talking about systematically uncovering the paid search ads your rivals are running on platforms like Google. This isn’t just about seeing who’s bidding on your favorite keywords—it’s about gathering the full picture:

• Ad copy: Headlines, descriptions, calls-to-action, and value props.
• Creative assets: Images, sitelinks, extensions.
• Landing pages: Where the ad actually sends users (and how those pages convert).
• Keyword targeting: Which queries trigger your competitors’ ads.
• Timing and frequency: When and how often those ads appear.
• Promotions and offers: What deals, discounts, or hooks are they using?

In 2026, this process is foundational for any serious sales or marketing strategy. Why? Because search ads are often the first (and sometimes only) touchpoint between your competitors and your shared audience. Understanding their messaging, creative, and targeting gives you the intel to outmaneuver them—whether you’re refining your own campaigns, launching a new product, or just trying to keep your CAC under control.

Why Finding Search Ads of Competitors Matters for Sales & Marketing Teams

If you’re in sales or marketing, you already know the value of good intel. But let’s put some numbers and use cases behind it. According to , 96% of marketers say paid search is a key channel for lead generation, and the average business now manages .

Here’s how actionable competitor ad insights can drive business outcomes:

In fact, companies that regularly analyze competitor ads report . And in a world where now invest in competitive intelligence, not doing this is like bringing a butter knife to a sword fight.

Traditional Ways to Find Search Ads of Competitors: Manual Search & Google Tools

Before AI and automation, most of us relied on a mix of Google’s own tools and some good old-fashioned detective work. Here’s how the manual process typically works:

1. Google’s Ad Preview and Diagnosis Tool: This tool lets you see what ads are showing for specific keywords, locations, and devices—without racking up fake impressions or clicks.
2. Manual Search: Open an incognito window, clear your cookies, and search for your target keywords. Take screenshots or copy/paste the ads you see.
3. Third-Party Tools: Some marketers use paid platforms or browser extensions, but these can be expensive or limited in scope.

Using Google's Ad Preview and Diagnosis Tool

This is the “official” way to check ads without messing up your own campaign stats. Here’s how to use it:

1. Go to the in your Google Ads account.
2. Enter your target keyword, location, language, and device.
3. Review the search results—ads will appear just as they do for real users, but your impressions/clicks won’t count.

Pro tips:

• Use multiple locations and devices to see regional or mobile-specific ads.
• Double-check in incognito mode to avoid personalization bias.

Limitations:

• You only see a snapshot in time.
• Some ads may be hidden due to budget, schedule, or audience targeting.
• Collecting data at scale is slow and manual.

Manual Search Techniques

If you’re not running your own Google Ads account, you can still do manual searches:

• Open a private/incognito window.
• Clear cookies, cache, and log out of Google.
• Search for your target keywords and record the ads you see.

Best practices:

• Rotate IP addresses or use VPNs to simulate different locations.
• Repeat searches at different times of day to catch rotating ads.

Drawbacks:

• Results are influenced by your browsing history, location, and device.
• It’s tedious, error-prone, and tough to scale for more than a handful of keywords.

Thunderbit: The Fastest Way to Find Search Ads of Competitors in 2026

Here’s where things get fun (and a lot more efficient). is an AI-powered web scraper Chrome Extension designed for business users—no coding, no templates, just results. Instead of slogging through manual searches, Thunderbit lets you:

• Scrape Google Ads results pages in bulk: Paste a list of keywords, and Thunderbit will visit each, extract every ad, and structure the data instantly.
• AI Suggest Fields: The AI reads the page and recommends which fields to extract—headlines, descriptions, URLs, sitelinks, and more.
• Subpage Scraping: Want to see what’s on the landing page behind each ad? Thunderbit can follow those links and enrich your dataset with creative assets, CTAs, and conversion flows.
• Scheduled Scraping: Set up recurring jobs to monitor competitor ads over time—spotting changes, new offers, or shifts in messaging.
• Instant Export: Send your data straight to Excel, Google Sheets, Notion, or Airtable—free and unlimited.

Thunderbit’s interface is designed for business users. If you can use a spreadsheet, you can use Thunderbit. And with , you can scrape up to 50 pages at once—perfect for large-scale competitive analysis.

Step-by-Step: How to Use Thunderbit to Find Search Ads of Competitors

Ready to ditch the manual grind? Here’s how you can use Thunderbit to find and analyze competitor search ads in just a few clicks.

1. Setting Up Thunderbit for Google Ads Scraping

• Install the .
• Choose your scraping mode: For Google Ads, browser scraping works great if you’re logged in or want to simulate your own search environment. For large-scale jobs, cloud scraping is faster and can handle up to 50 searches at once.
• Prepare your keyword list: Paste the keywords you want to monitor (e.g., “best CRM software,” “project management tool,” etc.).

2. Using AI Suggest Fields to Identify Key Ad Elements

• Open Thunderbit on a Google search results page.
• Click “AI Suggest Fields.” Thunderbit’s AI will scan the page and recommend columns like “Ad Headline,” “Description,” “Display URL,” “Final URL,” “Sitelinks,” and more.
• Customize as needed: Rename columns, adjust data types, or add custom instructions (e.g., “Extract only ads mentioning ‘free trial’”).

3. Scraping and Exporting Competitor Ads Data

• Click “Scrape.” Thunderbit will extract all visible ads for your keywords—across multiple pages if needed.
• Monitor progress: For big jobs, Thunderbit shows a live table as ads are collected.
• Export your data: Send results directly to Excel, Google Sheets, Airtable, Notion, CSV, or JSON. No limits, no extra fees.

You now have a structured dataset of competitor search ads—ready for analysis, reporting, or sharing with your team.

Manual vs. Automated: Why Thunderbit Outperforms Traditional Ad Discovery

Let’s get real: manual ad tracking is slow, inconsistent, and tough to scale. Here’s how Thunderbit stacks up:

Thunderbit’s AI not only finds the ads, but also structures, labels, and even translates or categorizes them on the fly—no separate tools needed. For busy sales and marketing teams, this saves hours of manual work and ensures you never miss a competitor’s move.

Advanced Competitor Analysis: Leveraging Thunderbit's Subpage Scraping

Finding the ad is just the start. The real gold is often buried in the landing page—where your competitors reveal their offers, pricing, CTAs, and conversion strategies. Thunderbit’s Subpage Scraping feature lets you:

• Visit each ad’s landing page automatically: Thunderbit follows every “Final URL” and scrapes additional data—headline, offer, form fields, testimonials, etc.
• Enrich your analysis: Add columns for “Landing Page Headline,” “Offer Type,” “Primary CTA,” and more.
• Spot conversion tactics: See how competitors structure their pages, what pain points they address, and how they nudge users to convert.

Building a Comprehensive Competitor Ad Report

Here’s how to combine your main ad data with subpage insights:

1. Scrape search ads for your target keywords.
2. Enable Subpage Scraping in Thunderbit to visit each ad’s landing page.
3. Extract key elements: Offers, CTAs, pricing, testimonials, trust signals.
4. Export and merge: Combine your ad and landing page data in one spreadsheet or dashboard.
5. Analyze for patterns: Which offers appear most? What CTAs are working? Where are competitors investing in creative or copy?

This 360-degree view helps you benchmark your own campaigns, spot market gaps, and respond to competitor moves in real time.

Optimizing Your Own Search Ads with Thunderbit Insights

Collecting competitor ads is only half the battle—the real value comes from turning that data into action. Here’s how to use Thunderbit’s insights to optimize your own campaigns:

• Benchmark your messaging: Compare your headlines, descriptions, and CTAs against the competition. Are you missing key value props? Is your offer unique?
• Identify keyword gaps: See which queries your competitors are targeting that you’re not—and vice versa.
• Refine your landing pages: Study competitor conversion flows, trust signals, and offer structures. Test new ideas in your own pages.
• A/B test creative: Use competitor ad copy as inspiration for your own split tests. See what resonates with your audience.
• Monitor changes: Set up scheduled scrapes to track how competitor ads evolve over time—spotting new launches, promotions, or shifts in strategy.

For example, if you notice a competitor suddenly pushing a “limited-time discount” in their ads, you can quickly respond with your own offer—or double down on a different value prop.

Conclusion & Key Takeaways: Winning the Search Ads Battle in 2025

Let’s recap the big wins:

• Finding search ads of competitors is essential for sales and marketing teams in 2025—helping you benchmark, optimize, and outmaneuver the competition.
• Manual methods still work for small-scale, one-off checks—but they’re slow, error-prone, and hard to scale.
• Thunderbit’s AI-powered web scraper makes it easy to extract, structure, and analyze competitor search ads—across dozens or hundreds of keywords, with just a few clicks.
• Subpage Scraping unlocks deeper insights, letting you analyze landing pages, offers, and conversion tactics for a true 360-degree view.
• Actionable data beats raw data: Use Thunderbit’s exports to refine your own ad copy, landing pages, and campaign strategy—closing the loop from intel to execution.

If you’re ready to level up your PPC game and leave manual ad tracking in the dust, and give it a spin. Your future self (and your marketing team) will thank you.

For more tips, deep dives, and AI-powered marketing guides, check out the .

FAQs

1. What exactly does “finding search ads of competitors” mean in 2025?
It means systematically uncovering and analyzing the paid search ads your competitors are running—looking at their ad copy, creative, landing pages, and keyword targeting to inform your own strategy.

2. Why is manual ad tracking less effective today?
Manual tracking is slow, influenced by personalization, and hard to scale. With more ads, more targeting options, and frequent changes, it’s easy to miss key competitor moves or waste hours on repetitive work.

3. How does Thunderbit help automate competitor ad discovery?
Thunderbit uses AI to read Google Ads results pages, extract all ad elements, and structure the data for analysis. It supports bulk scraping, subpage visits, scheduled monitoring, and instant export to your favorite tools.

4. Can Thunderbit scrape landing pages behind competitor ads?
Yes! With Subpage Scraping, Thunderbit can visit each ad’s landing page, extract additional creative and conversion elements, and enrich your competitor analysis reports.

5. What’s the best way to use competitor ad data to improve my own campaigns?
Benchmark your messaging, identify keyword gaps, study landing page tactics, and set up A/B tests inspired by what’s working for competitors. Use Thunderbit’s structured exports to make data-driven decisions and keep your campaigns ahead of the curve.

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