When you can’t afford to spend per week on a guide evaluation otherwise you doubt you’ve gotten sufficient expertise to do it nicely, your subsequent most suitable choice is a big language mannequin (LLM) like ChatGPT, Claude, or Gemini. All it is advisable know is the place to search for PPC information and a very good immediate—that is what I’m going that will help you with.

Listed below are just a few examples from a completed venture I’ve already created utilizing this technique.

The primary instance is an government abstract, offering a quick overview of the evaluation.

And right here, ChatGPT performs key phrase overlap and key phrase hole analyses. You may also obtain the whole ends in CSV format.

My PPC evaluation plan combines Ahrefs and ChatGPT to offer you a full image view of your opponents’ promoting technique in Google Adverts, and aid you rapidly enhance your personal.

With Ahrefs, you’ll see precisely which key phrases your opponents are bidding on, the nations they’re focusing on, and what advertisements and touchdown pages they use—one thing you possibly can’t do with Google Key phrase Planner.

You’ll additionally obtain estimated each day, weekly, and month-to-month advert spending to gauge their aggressiveness and spot patterns.

Then, ChatGPT steps in to establish key phrase gaps (key phrases they bid on however you don’t), pull out key insights from the information, and counsel simple wins you possibly can act on quick. After the evaluation, you possibly can even ask it to construct out a full PPC motion plan, together with suggestions for touchdown pages and higher advert copy to spice up your efficiency.

Let’s get began!

On this step, we’ll determine what to incorporate within the aggressive evaluation, collect information about your opponents’ paid visitors, and discover notable tendencies of their spending habits.

First, make a listing of your opponents’ websites. To be sure you’re not lacking out on any, you possibly can examine the Natural opponents report in Website Audit. Chances are high that the websites that need to outrank additionally, you will bid on the identical key phrases in Google Adverts.

Now, plug in your competitor domains together with yours into Batch Evaluation. Export the outcomes.

To grasp how your opponents use their Google Adverts budgets, examine the Paid search tab within the Overview report. Search for any spending patterns or methods that stand out. I like to recommend doing this step manually slightly than counting on AI, since people are naturally good at recognizing patterns, and AI typically struggles with studying information from photographs with graphs.

For instance, taking a look at this information on common natural visitors spend from Monday, we see their present estimated spend is about $243k—round 5 occasions decrease than their peak spend in August 2024. Final 12 months, their month-to-month spend by no means dropped beneath $110k, with clear spikes towards the top of the 12 months. Based mostly on this, you possibly can count on them to extend their bids considerably from August to December 2025.

You’ll be able to jot down your observations as you go and ask ChatGPT so as to add them to the report later.

On this step, we’ll take a look at which key phrases your opponents are bidding on, what their advert copy appears like, and which touchdown pages they’re utilizing.

To get all this information, go to the Paid key phrases report in Website Explorer and Export your complete Paid key phrases and Adverts stories.

Repeat for every competitor and every nation you need to compete in.

When you’re already working search advertisements, this step will aid you see the way you stack up in opposition to your opponents.

To assemble the information, you should use the identical Ahrefs stories you used in your opponents, export your key phrase checklist from Google Adverts, or use another checklist you’d like to match.

On this step, we’ll get opponents’ PPC touchdown pages prepared for AI evaluation. From expertise, AI does an incredible job of determining the technique behind a touchdown web page for those who give it an simply “digestible” file, equivalent to a PDF.

First, we have to establish the correct pages. Many firms ship paid visitors to plain pages like their homepage or product tour, however essentially the most revealing insights normally come from touchdown pages created particularly for PPC.

To seek out these, examine the Paid pages report in Website Explorer and search for clues within the URLs—phrases like “lp,” “touchdown,” random strings of letters and numbers, or URLs with UTM tags typically level to PPC-focused pages.

Go to these URLs and save them as PDFs (in Chrome or Firefox, go to File > Print and select Save as PDF because the vacation spot). You don’t want to incorporate each web page—simply select a stable pattern that provides you a transparent image.

Whenever you’re engaged on one thing complicated like PPC aggressive evaluation, establishing a venture in ChatGPT or Claude provides you and your AI assistant a shared, organized workspace. Utilizing the identical set of supply recordsdata all through helps maintain all the pieces constant. So, if you reference a file in chat, the AI is aware of precisely the place to get the context or the place to make updates.

That is the ultimate step of the evaluation. From right here, AI will take over and generate the report for you. All it is advisable do is ready up a venture, add the recordsdata you’ve gathered, and paste the immediate from this file into the chat window. Make sure that to make use of essentially the most superior mannequin obtainable to you (for me, that’s o3).

Because the immediate is sort of lengthy, I’ll present it in this file.

Be at liberty to ask your LLM any follow-up questions after the evaluation is finished.

On the time of writing, the venture function isn’t supported in Gemini, but when that’s your favourite LLM, strive importing the file within the chat window or making a Gem.

Analyzing your opponents’ Google Adverts methods is easy with a device like Ahrefs. In my expertise, different PPC promoting platforms don’t provide the identical stage of perception.

For social media advertisements, you should use the official advert libraries from Meta, TikTok, X, and LinkedIn (you’ll have to lookup each model individually). Relying on the platform, you’ll be capable to see issues just like the advert inventive, totally different variations of the advert, attain (for EU audiences), focusing on particulars, and when the advertisements ran.

Advert libraries received’t provide a lot competitor information, however you possibly can nonetheless use AI to seek out patterns amongst advert creatives. Once more, the trick is to save lots of any net web page displaying competitor advertisements in PDF format and provides it to an LLM asking issues like:

• What do these advertisements promote?
• Group each advert by dominant visible theme (human faces, product UI, icon‑solely, illustration, and many others.).
• Record the focus of every inventive (face, emblem, textual content‑first, CTA button) and rank them by prevalence.
• Extract each headline and overlay textual content. Cluster them by copy angle (profit, worry of lacking out, time financial savings, social proof). Which angle is dominant?
• Establish recurring design motifs.

For different show networks, instruments like AdBeat or AdClarity could be useful. For instance, AdBeat provides you a fast overview of your competitor’s PPC exercise—displaying you the varieties of advertisements they run most frequently, which publishers they work with, and even letting you view their advert creatives.

Remaining ideas

As a result of LLMs can rerun analyses in seconds, you’ve gotten the liberty to experiment wildly. Wish to check if competitor headlines utilizing emotional triggers outperform product-focused copy? Simply ask. Curious how seasonality impacts their key phrase technique? Rerun your evaluation with a recent immediate. 

So go forward: throw unconventional concepts on the mannequin, iterate quickly, and uncover alternatives you’d by no means uncover slogging by way of spreadsheets manually.

Obtained questions or feedback? Discover me on LinkedIn.