Reddit is filled with marketers complaining that AI tools are too generic, too vague, or too “copy-only” when it comes to paid ads.

So instead of arguing theory, we put three of the most popular AI tools: ChatGPT, Claude, and Gemini, through five real PPC tests based on tasks advertisers do every week: writing ad copy, reporting, analyzing seasonality, running an audit, and doing a KPI comparison.

Here’s what worked, what failed, and where Optmyzr fills the gap.

Overall performance summary

Test 1 → AI ad copy generators for Google Ads: ChatGPT vs Claude vs Gemini

Use case goal: Can an AI tool generate RSA ad copy that’s compliant, engaging, and ready to launch without spending hours tweaking headlines/descriptions?

We didn’t want to feed the AI tools a fluffy “write some ads” prompt. So we gave them the kind of brief a PPC copywriter would actually get from a SaaS client.

This is important because, as Amy Hebdon pointed out in our recent PPC Town Hall, our industry doesn’t usually create proper briefs for ad copy. That’s a big miss; without a brief, we don’t really know what to write or how to make ads connect to strategy.

A good brief gives clarity, constraints, and direction. It’s not just for AI, it’s what human copywriters need too.

Claude gave good angles but made risky claims

Claude did a decent job of sounding like a marketer. Its headlines tackled pain points head-on: “Stop Project Chaos Today,” “Ditch the Tool Juggling,” “No More Missed Deadlines.” Solid, straightforward stuff that speaks to frustrated project managers.

It also grouped its variations logically, and the structure made sense for A/B testing.

But here’s the problem: Claude tends to make things up at times. It confidently claimed “1,000+ teams” were already using WorkSync and promised “40% fewer delays.” We never gave it those numbers.

That kind of creativity is fine in a brainstorm doc. In live PPC ads, it’s a compliance risk waiting to happen.

ChatGPT sounded too formulaic at times

ChatGPT played it safe with headlines like “Manage Tasks in One Place” and “Simple Project Tracking” - technically correct, but bland.

Where ChatGPT stood out was in structure. It delivered five clear creative angles: efficiency, simplicity, collaboration, reliability, and the free trial offer.

Each is tied back to a real buyer pain point. It even suggested a smart A/B testing setup.

It got the rational benefits right (automation, faster setup, cost savings), but didn’t lean into the emotional relief FlowSync promises. Things like: fewer late nights, fewer fire drills, less chaos.

That’s what makes ads stick, and ChatGPT just didn’t go there.

Gemini played it safe but lacked creativity

Gemini sat somewhere in between: not reckless like Claude, not rigid like ChatGPT, but missing the spark. Many headlines felt generic - “The Right Tool for Your Team,” “Better Project Management,” “Simplify Your Workflows.”

A few lines did hit closer to the mark, like “A project management tool non-technical teams will actually use.”

Unfortunately, those moments were the exception rather than the rule.

Why Optmyzr takes this further (for RSAs)

AI tools can help with generating RSA copy ideas quickly, but they don’t help you manage those ads once they’re live in Google Ads. That’s where Optmyzr’s Ad Text Optimization tool steps in.

With this tool, you can:

• Edit RSA assets safely: Change any headline or description, save it, and track it as “modified.” Nothing goes live in Google Ads until you give the green light.
• Use AI as a helper: Get smart AI-powered suggestions for headlines, descriptions, or even full drafts, but always with the option to review before applying.
• Focus on what needs fixing – Filter by Ad Strength so you can improve weaker RSAs while leaving the stronger ones untouched.
• Bulk edits without errors: Use Find & Replace to update copy across multiple RSAs, whether it’s updating outdated promos or replacing legacy terms.
• Work at scale: Spell check across languages, CSV workflows for client approvals, and even full-ad views where you can edit multiple assets at once.

Test 2 → AI PPC Reporting: Can ChatGPT, Claude, or Gemini build reports for CMOs?

Use case goal: Can AI tools build a goal-focused, ready-to-send report with summaries and insights?

ChatGPT initiated with a 2-step plan

ChatGPT delivered a basic 2-page report covering the executive summary and MoM comparison.

Next, we ran a similar test by uploading charts from a Google Ads account. The result was a 9-page report, with each page dedicated to explaining specific insights, such as:

If you’re after a straightforward report with clear explanations, ChatGPT does the job well.

Don’t expect flashy visuals; instead, you’ll get concise insights with all the essentials covered. The output could be improved, though; with more specific prompts, you might coax a bit more design flair out of GPT.

Claude came up with a good analysis

We first fed Claude the Google Ads chart data I’d extracted, and I was pleasantly surprised. The initial report looked polished and professional.

As shown in the screenshot below, Claude often produces a plain document-style report.

Other times, it goes a step further and builds an interactive prototype, like this:

The advantage of these prototypes is that you can either download the code to implement elsewhere or publish the artifacts and open them directly during presentations.

You can check the one we built here: Claude Reporting Artifact V1

We further prompted it with:

As we mentioned, the report was meant for a busy CMO, but Claude made it a little too concise. That’s a common limitation with AI tools: they often miss the balance.

So, we asked it to dive into the details after presenting the big picture.

Here’s what it produced:

You can check out the full Claude Artifact V2 here!

It was significantly better in terms of visuals and understanding.

Now for the MoM comparison, here’s the report it came up with, consisting of 9 different sections neatly presented:

You can check the full artifact here: Claude MoM comparison report

The bottom line? When it comes to visually compelling reports, Claude still has the edge over ChatGPT.

Gemini gave a fairly mediocre response initially

When we fed the MoM comparison data to Gemini and asked it to create a report for a busy CMO, there were quite a few assumptions and inconsistencies.

In the first attempt, Gemini fell short on several fronts:

• Inaccurate data representation: e.g., a nonsensical ‘100% decline’ claim.
• Lack of revenue clarity: no clear view of the pipeline or revenue loss to guide budget decisions.
• Absence of actionable recommendations: no concrete recommendations to address the gaps.

When asked to create visuals, Gemini (2.5 Flash) built a code-based dashboard. It lagged endlessly, and the data it showed was inaccurate.

However, upgrading from Gemini (2.5 Flash) to Gemini (2.5 Pro) delivered far better results.

Here’s what Gemini (2.5 Pro) got right:

• Accurate data interpretation with correct numbers and analysis.
• Flagged key issues like tracking gaps, mobile exclusions, and budget pacing.

Where it fell short:

• Shallow demographic analysis with no guidance on business strategy.
• Couldn’t generate charts; instead, produced a limited dashboard (see below).

In conclusion, Gemini delivered a solid, safe executive report that identified problems and suggested next steps. However, it lacked the strategic depth and growth vision a CMO needs for major budget decisions.

Optmyzr helps you build reports you can talk to

With Optmyzr, you don’t have to jump through hoops, extract sheets, switch modes, or double-check data accuracy. You can generate reports with a simple prompt or start with pre-built templates.

If you’re using AI, you can jump right in with pre-built prompts. Prefer a custom setup? Just describe what you want in your report, and we’ll build it for you.

The real differentiator? Once your report is ready, Optmyzr’s built-in AI (Sidekick) lets you talk to it. It takes away the hassle of digging into charts or slides.

Simply ask it to summarize the key points, highlight areas that are performing well, and those that need improvement.

If I were a busy CMO, I know I’d prefer a report I can actually have a conversation with, not just one I have to read.🫡

Once the report’s ready, Optmyzr even helps with the last mile: drafting the emails for your scheduled report deliveries, so you don’t spend extra time packaging the story for your CMO or client.

Instead of wrestling with widgets or hoping an AI deck lands right, Optmyzr gives you a reporting workflow that’s both smart and repeatable.

Test 3 → AI Seasonality Analysis in PPC: Forecasting Demand with GPT, Claude, Gemini

Use case goal: How can PPC marketers use AI tools for seasonality analysis to forecast demand, optimize budgets, and improve ROAS during peak and slow periods?

ChatGPT came up with a neat plan..

We started the test with ChatGPT 5 (instant), and it devised a plan for the seasonality analysis:

It began with a time series decomposition and explained the results clearly, even for someone not deep into statistics.

The output included the following chart with clear explanations:

Similarly, we were presented with day-of-week patterns and monthly/quarterly trends:

Overall, the charts were clear and easy to interpret, and the accompanying text made the data even more accessible.

If you’d like a deeper dive into how to run seasonality analysis with ChatGPT, here’s an article that can help!

Claude was a bit overwhelmed with the data at first

Claude’s response wasn’t as instant due to our large dataset (over 900 days), taking some time to process.

Once it finished, though, it produced a comprehensive document.

Unlike ChatGPT, it didn’t include charts by default, but with a couple of extra prompts, you can easily generate them. The analysis itself was detailed, useful, and, most importantly, explained in a way anyone could follow.

It even went a step further by predicting performance for Q4 2025 and Q1 2026, which was pretty impressive:

Next came a strategic plan of action, followed by a checklist with weekly tasks.

Overall, Claude delivered a solid analysis, but in my view, ChatGPT did a better job with this dataset. A smart workflow might be to extract insights with ChatGPT, then use Claude to turn those findings into an action plan or checklist.

Gemini also did a great job

Lastly, Gemini (2.5 Pro) also delivered strong results.

It generated a variety of charts, including conversion forecasts, anomaly detection, quarterly cost-per-conversion patterns, and monthly trends.

Interestingly, using the same prompt, Gemini also produced additional visuals like day-of-week cost-per-conversion analysis and conversions with anomalies.

The generated charts were also clear and easy to interpret, as you can see below:

A small but useful detail: Gemini also lets you instantly download the charts (look at the icon in the corner), something GPT doesn’t offer.

Overall, Gemini came out on top for generating clear, reliable seasonality analysis charts. GPT does have an edge in providing detailed explanations, but with a couple of extra prompts, Gemini can break down the insights just as effectively.

Want to skip the hassle of writing endless prompts just to run a seasonality analysis?

We built a seasonality analysis tool using Lovable that makes it super simple. Just upload your CSV file, no mega prompts, no back-and-forth, and you’ll get a clear, detailed analysis.

Upload your data and get a clear seasonality analysis instantly. Need a quick summary? Just hit Explain in plain English for an easy breakdown.