Are Your Competitors Already in Your Buyers’ ChatGPT Answers?
A business owner types into ChatGPT: “Our IT provider takes days to reply and we just failed a cyber-insurance review. Who else should we be looking at?” ChatGPT answers — and underneath the answer, there may be a sponsored card for one of your competitors.
That’s where ChatGPT advertising sits in 2026. By spring, more than 600 advertisers were running placements against the high-intent questions that used to belong to Google. If a rival MSP has bought the conversation your buyer is having, they’re reaching that buyer at the moment of decision. Unless you go looking, you won’t know.
No ad library, no shortcut
Google gives you Auction Insights. Meta has a public Ad Library showing every ad a competitor runs. ChatGPT has neither. OpenAI doesn’t publish an ad library, and there’s no searchable record of who’s advertising against which questions. The only reliable way to find out whether a competitor is bidding on your category is to run the questions yourself and record what comes back. It’s manual and tedious, and almost nobody is doing it.
What a competitor’s ad tells you
When a sponsored card appears, four things are worth recording every time. The ad title shows how they’re positioning. The description (usually around 19 words) carries the pitch. The final URL gives away the strategy — a plain homepage suggests a casual test, a dedicated “managed IT pricing” or comparison page suggests they’re serious. And impression share tells you how often their ad shows on a given question across many runs.
Impression share matters most. Spotting a competitor once is noise. Seeing them in 12 of 25 runs of the same question — a 48% impression share — means they own it.
How to audit it yourself
Start with how your buyers talk. People don’t query ChatGPT in keywords; they write full sentences with the context and frustration included. For an MSP, 30 to 50 questions should cover how IT buyers actually phrase things:
- Comparisons: “best managed IT provider for a law firm”, “[Competitor A] vs [Competitor B]”
- Recommendations: “we’re a 50-person firm and our IT is a mess, what should we look for in an MSP?”
- Switching: “alternatives to [incumbent provider]”, “how do I tell if my MSP is overcharging me?”
- Fit: “managed IT for accounting firms”, “IT support for a business with remote staff”
- Pricing: “what should I pay for managed IT?”
- Security triggers: “do we need someone monitoring our systems overnight?”, “we’ve been phished, who can help?”
Pull these from the questions that already convert in Google Ads, your best organic keywords, and the language you hear on sales calls and in support tickets. If a competitor is bidding on a question you never mapped, you won’t see them.
Run each question many times, not once. ChatGPT’s ad auction doesn’t serve the same advertiser to everyone — different sessions surface different ads depending on bid, relevance and rotation. Plan for 20 to 30 runs per question across a few days, clearing cookies between batches and spreading them across mornings, afternoons and evenings. Fire all 30 off in ten minutes from one session and you’ve sampled a single thin slice of the auction.
Watch location. Ads currently show to Free and Go users in a growing list of markets — the US, Australia, New Zealand and Canada among the first — and OpenAI has added geo-targeting. Monitor from the markets you sell in, and run a separate set for each, because the competitive picture shifts by country.
Log the same four fields every time, tagged with the question, date and time, and session details (Free or Go, location). Build the sheet so you can pivot impression share by question, by competitor and by week. Copy and landing pages move fast — a competitor might test three or four headlines against one question in a week — so capturing only the title misses most of the picture.
Then set a cadence. A one-off check catches whoever won the auction the day you ran it and misses the rotation across the rest of the week. At a minimum: daily runs on your top five to ten money questions, weekly runs across the full list, and a monthly pull to see who’s gaining or losing ground. Purpose-built monitoring tools are starting to appear, but you can get a real read today with nothing more than the method above.
A bonus: recon for your organic strategy
While you’re running the questions, note who ChatGPT names inside the answer itself — not the sponsored card, the recommendation. That shows which providers have earned the model’s trust without paying, and it’s the raw material for your own AI visibility strategy. The same audit that shows who’s outbidding you also shows who’s out-ranking you.
Where we come in
Running 30 to 50 questions, 20-plus times each, across every market you sell in, on a daily and weekly rhythm, is hours of screenshotting and spreadsheet work most MSP marketing teams can’t spare. We run ChatGPT ad monitoring as a managed audit for IT providers: mapping the questions your buyers ask, tracking who’s bidding against you and how that share moves, and flagging the moment a competitor moves in on a question that matters.
Request a competitor ChatGPT ad audit →
Keep reading
- For the full picture, start with ChatGPT Ads Are Here: What MSPs Need to Know.
