Aggressive Pay Per Click on (PPC) analytics is about seeing what your rivals do with paid promoting on platforms like Google Advertisements. It helps you uncover which key phrases you might be spending cash on, what your advertisements and touchdown pages look, and the way a lot funds you might be engaged on.
If you cannot afford to spend every week on handbook evaluation, or for those who suspect you’ve got sufficient expertise to do it effectively, the subsequent best choice is large-scale language fashions (LLMs) equivalent to ChatGpt, Claude, and Gemini. All you should know is the place to search for PPC information and good prompts. That is what I am attempting that will help you.
Beneath are some examples of accomplished tasks which have already been created utilizing this methodology:
The primary instance is an govt abstract, which supplies a short overview of the evaluation.
And right here, ChatGPT performs key phrase overlap and key phrase hole evaluation. It’s also possible to obtain the total leads to CSV format.
In my PPC evaluation plan, we mix ahrefs and chatgpt to supply a whole view of the promoting methods of our rivals Google Ads, and help you improve yourself quickly.
AHREFS lets you see exactly what keywords your competitors are bidding on, what countries are targeting them, and what ads and landing pages they use. This is something Google Keyword Planner can’t do.
They also receive daily, weekly and monthly ad spending to measure aggression and spot patterns.
Next, we suggest that ChATGPT identifies keyword gaps (keywords that you bid but don’t), extract key insights from the data, and act easily. After analysis, you can also request that you build a complete PPC action plan, including landing page recommendations and better ad copying to improve performance.
Let’s get started!
This step will decide what to incorporate in your aggressive evaluation, accumulate information in your competitor’s paid visitors, and discover distinguished developments in your spending habits.
First, create a listing of competitor websites. To be sure to have not missed it, you’ll be able to try studies from natural rivals. Site audit. It is also possible that sites you would like to bid over the same keywords in Google Ads.
Next, connect your competitor’s domains to Batch Analysis. Export the results.
To understand how your competitors use Google Ads budgets, check the Paid Search tab in the Summary Report. Find out what spending patterns and strategies stand out. Humans are good at recognizing patterns naturally and AI can have a hard time reading data from images in graphs, so it is best to do this step manually rather than relying on AI.
For example, looking at this data on average organic traffic spending since Monday, we can see that the current estimated spending is around $243,000, five times lower than the peak spending in August 2024. Last year, monthly spending never fell below $110K and there were clear spikes at the end of the year. Based on this, we can expect a significant increase in bids from August to December 2025.
You can write down your observations as you go and ask to add ChatGpt to the report later.
On this step, you will notice which key phrases your rivals are bidding on, what advert copy appears like, and which touchdown pages are utilizing.
To get all this information, go to the Paid Key phrases Report in Web site Explorer and export your complete Paid Key phrases and Advertisements report.
Repeat for every nation you need to compete along with your rivals.
In case you are already operating search advertisements, this step will make it easier to see how they stack up along with your rivals.
To gather information, you need to use the identical AHREFS report you used on your rivals, export key phrase lists from Google Advertisements, or use different lists you need to examine.
This step will put together your competitor’s PPC touchdown pages for AI evaluation. From expertise, AI does an excellent job of determining the methods behind the touchdown web page in terms of offering straightforward “digestible” information, equivalent to PDFs.
First, you should determine the suitable web page. Whereas many firms ship paid visitors to plain pages equivalent to homepages and product excursions, the obvious insights normally come from touchdown pages created particularly for PPCs.
To search out these, test the paid web page report in Web site Explorer and search for URL clues. Therms, like “LP”, “touchdown”, random strings of letters and numbers, or URLs with UTM tags, typically confer with PPC-centric pages.
Go to those URLs and save as PDF (in Chrome or Firefox, go to File > Print and select Save as PDF as vacation spot). It isn’t essential to incorporate all pages. Select a stable pattern that gives clear photographs.
If you’re engaged on one thing complicated like aggressive evaluation in PPC, establishing a mission with ChatGPT or Claude will present you and your AI assistants with a shared, organized workspace. Utilizing the identical set of supply information will guarantee every little thing is constant. So whenever you browse information in chat, AI is aware of precisely the place to get the context or create the replace.
That is the ultimate step within the evaluation. From right here, AI will take over and generate the report. All you should do is about up your mission, add the collected information, and paste the immediate from this file into the chat window. Ensure to make use of the state-of-the-art fashions obtainable (for me, it is O3).
The immediate is sort of lengthy so I’ll present it This file.
As soon as the evaluation is full, if in case you have any follow-up questions, please be at liberty to contact LLM.
On the time of writing, the mission function is just not supported in Gemini, but when it’s your favourite LLM, attempt importing the file to the chat window or making a gem.
Analyzing your competitor’s Google Advertisements methods is straightforward utilizing instruments like AHREFS. In my expertise, no different PPC advert platforms supply the identical stage of perception.
For social media advertisements, you need to use the official advert library Meta, Tiktok, xand LinkedIn (it is best to search all manufacturers individually). Relying in your platform, you’ll be able to see advert creatives, totally different variations of the advert, attain (for EU audiences), goal particulars, and issues like when the advert was run.
The AD library doesn’t present information from many rivals, however you need to use AI to seek out patterns amongst AD Creatives. Once more, save an internet web page that shows rivals’ advertisements in PDF format and move them to LLM who asks:
- What do these advertisements promote?
- Group all advertisements by dominant visible themes (human faces, product UI, icons, illustrations, and so on.).
- Record the main focus of every inventive (face, brand, textual content first, CTA button) and rank it by prevalence.
- Extract all headings and overlay textual content. Cluster them by copy angles (advantages, missed worry, time financial savings, social proof). Which angle dominates?
- Establish repetitive design motifs.
For different show networks, instruments like AdBeat and AdClarity may be helpful. For instance, Adbeat supplies a fast overview of your competitor’s PPC actions. This permits them to see the varieties of advertisements they run most regularly, what publishers work collectively, and even the advert creatives.
Closing Ideas
LLM lets you rerun your evaluation in seconds, permitting you to experiment freely. Wish to use emotional triggers to check whether or not competitor headlines outweigh product-centric copies? Please pay attention. Are you interested by how seasonality impacts key phrase methods? Rerun the evaluation at a recent immediate.
So go forward: throw unconventional concepts into the mannequin, rapidly iterate, and uncover alternatives that do not let the spreadsheet manually throw.
Do you’ve got any questions or feedback? Discover me LinkedIn.
