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Your Competitor Is Running Ads on ChatGPT When Customers Search for Your Brand

May 12, 2026
Your Competitor Is Running Ads on ChatGPT When Customers Search for Your Brand

Your Competitor Is Running Ads on ChatGPT When Customers Search for Your Brand

By Steve Merrill | May 12, 2026

Here's something most Shopify merchants haven't checked yet: go open ChatGPT and type "[Your Brand] vs [Top Competitor]."

Look at what shows up. Specifically, look at the sponsored product carousels.

If you see a competitor's products in a paid position on that query, they're running ads that trigger when someone asks about your brand. That customer -- who was researching you -- is now looking at a sponsored recommendation for someone else.

This is happening right now. And most brands have no idea.


How Big Is the AI Brand Hijacking Problem?

Analysis of early ChatGPT ad placements found over 580 ads running on commercial AI queries -- with a significant share targeting competitor brand names. This isn't hypothetical. Advertisers with access to OpenAI's product advertising system can bid on queries that include competitor brand terms, exactly the way Google Ads has allowed brand keyword targeting for years.

The difference is the surface. On Google, branded keyword ads appear below a search bar. Users have been trained to notice and often skip them. In ChatGPT, sponsored product recommendations appear within a conversational response. They look like part of the AI's answer. The distinction between "the AI recommended this" and "an advertiser paid for this placement" is much less visible to the average shopper.

According to Search Engine Land's coverage of ChatGPT's ad rollout, OpenAI began monetizing commercial queries through product carousels, with advertisers able to target based on query intent and category. Brand-term targeting followed the same pattern as every major search ad platform before it.

If you haven't thought about this yet, someone in your category probably has.


What Does Brand Hijacking in ChatGPT Actually Look Like?

The typical pattern: a customer is considering buying from your brand. They ask ChatGPT a comparison question -- "what's better, [Your Brand] or [Competitor]?" or "is [Your Brand] worth it?" They're in research mode. High purchase intent. That customer is yours to lose.

ChatGPT responds with an answer that includes your brand in the organic recommendation -- but also surfaces a sponsored product carousel. Your competitor paid to be in that carousel. The customer sees both, clicks the competitor's product, goes to their site, and never visits yours.

You had that customer. Your competitor bought their way into the consideration moment you earned.

This is the same dynamic that played out with Google brand keyword ads in the mid-2000s. Early advertisers who bought competitor brand terms captured significant traffic before the targeted brands even understood the mechanic. By the time most brands started defending their own brand keywords, the early movers had built months of campaign data and conversion optimization advantage.

The window to get ahead of this in AI search is shorter than most people think. The Wall Street Journal reported OpenAI is accelerating its advertising rollout as the company looks to significantly grow its revenue base. Once the ad auction opens fully to all advertisers, the cost of brand defense will increase dramatically.


How Do You Audit Your Brand's Exposure Right Now?

What queries should you test first?

Run these manually in ChatGPT. Screenshot every result.

  • "[Your Brand] vs [Top Competitor]"
  • "best [your product category]" (without mentioning your brand)
  • "is [Your Brand] good?"
  • "alternatives to [Your Brand]"
  • "[Your Brand] reviews"
  • "[Your product type] for [your target use case]"

What you're looking for:

  1. Does your brand appear in organic recommendations for category queries?
  2. Does a competitor appear in sponsored positions on your brand queries?
  3. What does ChatGPT's organic description of your brand actually say? Is it accurate? Differentiated?

What does it mean if your brand description is vague or missing key differentiators?

That's a mention and content coverage problem. The AI doesn't have enough good information about your brand to describe it confidently. This is fixable -- but fixing it requires building more branded mentions and editorial coverage, not just optimizing your website.


Three Things You Can Do About This Right Now

1. Connect your catalog so you exist in organic results

The baseline defense against competitor brand ads is a strong organic presence. If ChatGPT reliably recommends your products in organic results when someone asks about your category, a competitor's paid placement has to fight against a trusted organic recommendation. Make sure your Shopify store is connected to ChatGPT via the ACP integration. Your products need to be in the recommendation engine before they can compete.

2. Build branded mention volume to dominate organic citation

ChatGPT's organic recommendations are shaped by your brand's mention frequency across credible sources -- review platforms, editorial coverage, YouTube, industry publications. The brands with the strongest mention profiles show up most reliably in organic answers. A competitor's ad placement is less effective when the organic response already strongly favors your brand.

3. Register for ChatGPT's advertising platform early

Defend your own brand terms. On every ad platform that has ever existed, the cheapest time to buy your own brand keyword was before your competitors started bidding on it. That window exists right now in AI search. Sign up for early access to ChatGPT's advertising program and claim your brand query positions.


This Is the Google Brand Keyword Story Again

I've watched this play out before. When Google launched brand keyword bidding, most businesses thought "no one would bid on our brand name." Some competitors started quietly running brand-targeted campaigns. Within 18 months, every major brand was fighting over their own brand terms, and CPCs had tripled.

Same pattern, faster cycle. The brands who audit their AI search exposure now and take defensive positions in the next 60-90 days will spend significantly less per click on their own brand traffic than the brands who wait until every competitor is in the auction.

Check what ChatGPT says about you today. You might not love what you find.


FAQ: AI Brand Protection and ChatGPT Ads

Can competitors run ads that target my brand name in ChatGPT?

Yes. Advertisers with access to ChatGPT's product advertising system can target commercial queries including competitor brand names -- the same mechanic Google Ads has used for years, now appearing in AI conversational responses.

How do I know if a competitor is running ads on my brand queries in ChatGPT?

Run a manual audit: search "[Your Brand] vs [Competitor]" and similar queries in ChatGPT. Look for sponsored product carousels. If competitor products appear in paid positions on your brand queries, they're running brand-targeted ads.

What is brand hijacking in AI search?

Competitors purchasing ad placements on AI platforms triggered by your brand name. When a customer researches your brand in ChatGPT, they see your competitor's product recommendation in a prominent paid position within the AI's conversational response.

What can I do to protect my brand in AI search?

Three actions: Connect your Shopify catalog via ACP integration, build branded mention volume to strengthen organic citation, and register early for ChatGPT's advertising platform to claim your own brand query positions.

How many ads are running on competitor brand queries in ChatGPT?

Early tracking found 580+ ads on commercial AI queries, with a significant share targeting competitor brand names. This number is expected to grow rapidly as OpenAI's ad platform scales in 2026.


Want to know how your brand is currently represented in AI search?
Check Your Store's AI Readiness →

blog author image

Steve Merrill

Steve has been an entrepreneur in eCommerce since 2010 and has sold over $60M online. As the founder of WRKNG Digital he helps Shopify brands through growth strategy and execution of digital marketing.

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What Is the WRKNG Digital Blog?

This is where I document what I'm actually building and observing — not predictions about what AI might do someday, but what's happening right now with Shopify stores, AI shopping assistants, and the shift in how people find products online.

I run AI visibility audits on Shopify stores. I see the data. Most stores are invisible to ChatGPT, Perplexity, and Google AI Overviews — not because their products are bad, but because the structural signals AI crawlers look for aren't there.

That gap is what this blog covers.

What Will You Find Here?

AI Commerce Readiness

How AI shopping assistants like ChatGPT Shopping, Perplexity, and Google AI Overviews decide which products to recommend — and what Shopify stores need to do to show up. This includes structured data, product feed optimization, and content structure.

Answer Engine Optimization (AEO)

AEO is the practice of structuring your content so AI systems can extract it, quote it, and cite it. Different from SEO. Different signals, different ranking factors, different content requirements. I break down what it actually looks like in practice.

Real Data from Real Audits

I've audited hundreds of Shopify stores for AI readiness. The patterns are consistent. I share anonymized findings, before-and-after examples, and what the numbers actually show — not what anyone's guessing.

Agentic Commerce

AI agents that browse, compare, and recommend products are already live in ChatGPT, Copilot, and Perplexity. I cover what's changing, what Shopify's platform is doing about it, and what merchants need to do now before the window closes.

Frequently Asked Questions

What is AI commerce readiness for Shopify stores?

AI commerce readiness is a measure of how well your Shopify store is structured for discovery by AI shopping assistants like ChatGPT, Perplexity, and Google AI Overviews. It includes your structured data (JSON-LD schema), product feed quality, robots.txt permissions for AI crawlers, and content extractability. Most stores score an F when audited for these factors.

What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring your content so AI systems can find it, understand it, and cite it when answering user questions. Unlike SEO, which targets a ranked position on a results page, AEO targets a citation inside an AI-generated answer. The signals are different: question-based headings, structured Q&A content, clear definition blocks, and authoritative external references.

How is AI product discovery different from Google Search?

Google Search returns a list of links ranked by relevance. AI shopping assistants like ChatGPT and Perplexity synthesize a recommended answer — selecting specific products or brands based on structured data, citation patterns, and content credibility signals. 67.8% of pages cited by AI don't rank in Google's top 10, according to Surfer SEO's research. Optimizing for one doesn't automatically optimize for the other.

How do I know if my Shopify store is visible to AI shopping assistants?

Run a free AI Commerce Audit Here. It scores your store across the key AI discoverability factors — structured data, product feed coverage, content extractability — and identifies what to fix first.