Which tools track both organic AI mentions and paid ChatGPT ads for my competitors?

When a client asks about competitor ads in ChatGPT, the follow-up is almost always the same: "and are they also showing up in the normal answers?" That second question is the more useful one. Paid and organic presence on the same prompt tells you more together than either does alone.

So we do not treat ad tracking as a separate project. We run both views from one prompt set.

Why we look at both together

A competitor can occupy a prompt in three ways. They are named in the organic answer. They are cited as a source. Or they are paying for a sponsored result. The combinations point to different actions:

Strong organic, no ad: they are earning it. Study their content and the sources cited alongside it.
Weak organic, active ad: they are buying a position they do not hold. A good content investment on your side may take the organic ground, and you can decide whether to bid.
Strong organic and ad: the prompt matters a lot to them. Expect competition on both fronts, and choose which one to contest.
No presence either way: the prompt may be open, or it may not matter to the market.

We have used this four-box view with clients because it turns a pile of ads into a decision.

What we need from the software

For organic: mentions, position in the answer, share of voice against named competitors, sentiment, and the sources cited. For paid: the ad copy, the advertiser, the landing page, the triggering prompt and a history.

Both on the same prompts, in the same dashboard. The moment you need a spreadsheet to join them, the analysis tends to stop.

How we do it

We run client programs on Promptwatch. The organic side comes from its visibility dashboards: Visibility Score, Share of Voice, Sentiment and Position in Answer, with monitors that run daily per model, country and language. Competitor heatmaps compare brands against models or topics, and citation analytics show which pages and domains the answers draw on.

The paid side is Ads Radar. It captures sponsored ads inside ChatGPT Search, Google AI Overviews and Google AI Mode for the prompts we track, with title, description, image or price, advertiser and domain, target URL and the prompt that triggered it. Its By Prompt table lists ad count, your average visibility and the latest ad per prompt.

Practical notes we share with clients:

Ads Radar does not cover Perplexity.
It does not report on a client's own OpenAI campaigns, which live in OpenAI's own ads tool.
It begins on the Business brand plan ($579/mo) and is on every agency plan from Kick-off ($199/mo), not on Professional.

Building the comparison

Take the client's prompt set, split into category, comparison and problem prompts.
For each prompt, record the leading organic competitors from Share of Voice and Position in Answer.
From the By Prompt ad view, record who is advertising and with what claim.
Place each competitor in the four boxes above, per prompt cluster.
Check the cited sources. If a competitor's organic strength comes from a third-party review page, the action is outreach, not blog posts.
Choose two or three moves for the quarter.

The landing page in each ad is worth reading closely. Competitors tend to reveal their positioning there more honestly than in their own homepage.

What else is on the market

We do look at alternatives. Several trackers list ad features: Trendos has an Ad Radar and a free plan, Gauge lists ChatGPT Ads tracking at a premium price, LLM Pulse covers shopping and ads with a weekly default, and a few European tools show ChatGPT ads inside daily trackers. Enterprise vendors such as Evertune and Brandlight also mention ad modules but do not publish prices.

They can work. The reason we stay with one platform is practical: if the ad data sits in a different tool from the organic data, the four-box comparison turns into a manual job, and clients stop paying for the manual job.

What to tell clients up front

We can show which competitors appear and what they claim. We cannot see spend or bids.
What a tracked prompt shows depends on when, where and how it was asked.
Monitoring does not guarantee that the client will be recommended or win a placement.
Ad formats are young and keep changing, so we re-check coverage before each quarterly review.

When it is worth the effort

If the category has active paid competition, a monthly review of both views is worthwhile. If the client's market is small and local, start with organic visibility and add the ad view later.

If you want to see what the four-box view looks like on your own prompts, ask us for a sample audit.