ChatGPT Ads: A Field Guide for Brands & Growth Teams
Nine hundred million people ask ChatGPT every week — and OpenAI just opened that conversation to brands. Public research, market forecasts and Nexad's frontline campaign data, in one working field guide.

Five numbers that set the stage
- 900M
- ChatGPT weekly active users
- ≈10×
- CTR vs an ordinary chatbot inventory
- +54%
- AI-referred retail conversion uplift (Adobe)
- ≈$1.6
- Blended CPC across five verticals
- $2.5B
- OpenAI 2026 ad-revenue projection
From “should we test this?” to a launch you can run
Where the channel actually is
Scale, site ranking, where you can buy today, and how ChatGPT sits next to Google AI Overviews and Amazon — the consideration window old channels miss.
What the numbers say
First-party CTR and CPC benchmarks across five verticals, a proprietary ChatGPT-vs-chatbot comparison (≈10× CTR), and the first cross-channel conversion reads.
How to actually run it
Playbooks for four high-fit verticals, a day-by-day managed launch, the creative-review traps to avoid, and how to wire server-side measurement.
“ChatGPT advertising is still early — competition and testing costs are lower than they will be once it matures. Now is a sensible time to stand up accounts, measurement and benchmarks on a controlled budget.”
— From the executive summary
Eleven sections, fully sourced and dated
Every figure is fact-checked, dated, and marked external or first-party. The operating conclusions come from campaigns Nexad has run with real budgets since the pilot opened on February 9, 2026.
- 01The platform moment
- 02Users & intent
- 03Where it sits next to Google & Amazon
- 04Benchmarks & first-hand reads
- 05A proprietary comparison
- 06Independent corroboration
- 07Playbooks for four high-fit verticals
- 08A managed launch
- 09Creative, review & targeting
- 10Measurement, attribution & build-vs-buy
- 11From test to scale
Written for
Read the full field guide
Thirty-one pages on how ChatGPT advertising actually works — and how to test it on a controlled budget before bids mature.

