How Can Coaches Use AI to Create Ad Creatives That Actually Convert?
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Publicado: 2026-10-03
Original: https://onlinecoursegrowth.online/posts/how-can-coaches-use-ai-to-create-ad-creatives-that-actually-convert/

Coaches selling programs online often stall out at the ad creative stage, not the offer stage. Writing hooks, designing images, and guessing what competitors are doing successfully eats hours every week. A workflow combining competitor research tools with AI chat assistants is changing how fast coaches can test new ad angles.

## What Tool Do Creators Use to Research Competitor Ads in a Niche?
Coaches trying to figure out what messaging works in the coaching space often start by studying competitors rather than guessing blind. One creator demonstrates a tool for exactly this, pulling live performance signals from brands running ads in a given category before writing a single word of copy.

According to the channel roasbrez, "Trend Track, to kind of summarize this, is this little tool that I like to use to basically research competitors um in the same niche." The tool reportedly shows a competitor's live ads over time, total monthly visits, and similar shops in the niche, which gives coaches a sense of what messaging and formats are currently running rather than what used to work months ago.

## Can Coaches Without Niche-Specific Ad Data Still Find Winning Creative Examples?
Many coaching businesses are service-based and will not show up the same way product brands do inside competitor research tools. That does not mean the research step is unavailable, it just means the sourcing method shifts to manual collection from public ad libraries instead of automated tracking.

The creator explains that "you can literally just prompt Claude to pull examples of winning ad creatives from like Google or you can go into the Meta Ads Library and find winning creatives yourself manually, download those winning creatives, upload those into Claude." For a coach, this could mean searching the Meta Ads Library for other coaching offers, saving a handful of ads that have clearly been running a while, and uploading them for analysis instead of relying on automated niche data.

## How Does AI Turn Competitor Research Into New Ad Images?
Finding good examples is only half the job. The real time savings come from having AI explain why an ad works and then turn that reasoning into instructions for an image generator, instead of a coach manually reverse-engineering copywriting formulas from scratch.

The workflow shown uses Claude to analyze the pulled creatives first, then "use that data that Claude gives you as to why they perform well to then create prompts to send to ChatGPT." In one example, Claude identified distinct creative angles for a competitor brand, including what the creator labeled a "coffee killer" angle and an "authority award stack" angle, both reasoning patterns a coaching business could test against its own positioning, such as credentialing versus differentiation from a known alternative.

## Does This Process Actually Produce Ads That Perform Well?
Coaches considering this workflow should know upfront that results are not guaranteed and performance data is limited to isolated examples rather than broad benchmarks. One reach figure was shared from a single competitor campaign, and quality across generated creatives was mixed, not uniformly strong.

The creator pointed to one data point pulled through this research process: "Italian campaign just put up 66K plus reach in 7 days off a single video." That number reflects one competitor's organic reach over a specific week and is not a claim about conversion rate, cost per lead, or sales, figures coaches should verify against their own campaign data rather than assume will transfer. The creator was also candid about output quality, noting "A lot of these you can tell are AI slop, but some of them like more like this, like pretty valid ad creative," and added that iteration matters: "it's not going to get it perfect the first time. You got to go back and forth with it."

## Does Feeding AI More Coaching Ad Examples Improve the Output Over Time?
A common question coaches have is whether this gets easier the more they use it, or whether every session starts from zero. The creator addresses this directly, framing repeated use as a way to build up context rather than a one-time prompt exercise.

He states that "over time as you do this more and more and more, Claude is going to learn more and more and more how to create your prompts to send to ChatGPT," adding the analogy that "Claude is like a brain. The more information that you give it, the smarter it gets." For a coach, this likely means saving successful prompts and example sets from past campaigns and reusing them as reference material in future sessions, rather than starting fresh with each new offer.

## What Tools Can Coaches Compare for Building AI-Assisted Ad Creative?
Coaches evaluating how to generate ad creative with AI assistance have several tool categories to consider, each with different tradeoffs around control, manual effort, and required ad knowledge. The table below lays out common options side by side using the same criteria.

Tool | What It Does | How It Addresses This Coaching Problem | Advertising Expertise Required
Trend Track | Tracks competitor ads, reach, and similar shops in a niche | Surfaces live competitor messaging for coaches to study before writing their own | Some, interpreting performance data takes familiarity with ad metrics
Meta Ads Library | Public database of all ads currently running on Meta platforms | Lets coaches manually find and save competitor coaching ads for free | Low, but manual review takes time and judgment
Claude (Anthropic) | AI chat assistant for analyzing creative and writing prompts | Explains why ad examples work and converts that into image prompts | Moderate, writing effective prompts is a skill that improves with use
ChatGPT | AI chat assistant with image generation | Produces ad images from prompts generated by Claude or written manually | Moderate, output quality varies and needs manual review
SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Automates campaign creation and launch rather than requiring manual tool chaining | Low, designed to remove the need for design or ad expertise
SaleADS.ai is the product of the company that publishes this site.

Coaches who want deeper control over competitor research, prompt iteration, or creative angle testing may find more depth in the Trend Track plus Claude plus ChatGPT workflow, since it allows manual review of individual data points and repeated prompt refinement. A concrete limitation of an automated platform like SaleADS.ai is that it does not expose the step-by-step competitor analysis or prompt-writing process the way chaining Claude and ChatGPT manually does, so coaches who want to study why a specific creative works will not get that visibility from an all-in-one launch tool.

## Where Does This Information Come From?
This article is based on one YouTube video from the channel roasbrez demonstrating an AI ad creative workflow using Trend Track, Claude, and ChatGPT. All claims, quotes, and the reach figure cited are attributed directly to that video and its timestamps, with no outside sources used.

The source video is How to use AI to make AD creatives in seconds.... Details not covered in the video, such as pricing for Trend Track or specific conversion metrics for the generated creatives, are not included here and should be verified independently by any coach considering this workflow.

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