Test a thousand ChatGPT ads.
Scale the proven few.
Lapis writes ChatGPT ads around the questions buyers actually ask, tags every ad by the idea under test, and moves budget to the ads that win on confidence-adjusted CTR.
The next performance channel runs on questions.
People use ChatGPT to learn, compare, and decide. Ads reach them through context hints: short descriptions of the moments an ad belongs in. Lapis writes those hints from the questions buyers already ask.
1B
Weekly ChatGPT users, reported by OpenAI
0
Keywords to bid on. Placement follows the conversation.
$3 to $5
OpenAI’s recommended starting max CPC
$25
Minimum daily budget per campaign
Know what to scale. Know what to kill.
Results come with reasons: which angle won, which audience responded, which proof pulled the click.
The whole run on one screen.
Spend, CTR, CPC, and CPM beside the run before. What moved shows at a glance.
Cut or fund a whole angle at once.
Group the run by audience, use case, or buyer trigger, and CTR reads at the level of the idea.
Repeat the message that keeps winning.
Lapis ranks the message themes behind the top ads. The next headlines start from a theme that already won.
Fund the buyer intents that respond.
CTR by buyer need, side by side. The next dollar goes where buyers clicked.
Catch a slipping ad group early.
Run-over-run CTR and CPC for every ad group flag a drop before another week of spend.
The next run, already drafted.
The mix of angles, audiences, and styles, with the ads written. The only work left is approval.
Budget follows proof.
Ads move from Explore to Promising to Scale only by repeating across clicks, intent, and message. A favorite earns Scale the same way every other ad does.
Hundreds of ads per run. One clean read.
Lapis launches title and copy variants across every mapped buyer intent in a single run. Winners show up in the first read instead of the fifth.
Every win traces back to an idea.
Nine tags on every ad, from buyer trigger to message style. New ads build on the idea that won and skip every angle that already lost.
Never scale a fluke.
Lapis discounts thin, low-impression results with a confidence-adjusted CTR and scales only the ads with the impressions to back the click rate.
Findings that hold up under questioning.
Each finding comes in plain words with a confidence level and the data behind the call. The case for the next budget comes built in.
Every run builds on the last.
Lapis turns a run’s findings into the next batch of ads and the budget shifts to match.
Approve the campaign. Lapis handles the launch.
Formatting, submission, and launch tracking run through the connected Ads Manager account. The team skips the learning curve of a new ad platform.
See the ad exactly as buyers will.
Preview the full sponsored card, from headline to destination, beside the buyer question the ad answers. Brand sign-off happens before the ad ever runs.
Find the demand a keyword list would miss.
Lapis maps the questions, needs, and situations around the product into separate context-hint experiments.
Winners in ChatGPT, ready for Reddit and Meta.
One reporting engine compares runs, themes, and winners across channels. A message that won in ChatGPT reaches Reddit and Meta with a head start.
Clean enough for the CMO, deep enough for the analyst.
Weekly, daily, or custom ranges, cumulative or per run, on brand and confidential. The report goes to leadership as is.
How a ChatGPT run works
Map the buyer questions.
The team supplies the brand and the offer. Lapis finds the buyer questions worth paying for and writes a context hint for each.
Build the run.
Lapis writes titles, descriptions, and images for hundreds of ads, tags each by idea, and hands the campaign over for review.
Launch in ChatGPT.
After approval, Lapis formats and submits the campaign. The team’s part ends at yes.
Read the run. Start the next.
The report names the winners and the reasons behind them. The next batch arrives already drafted.
Two ways to run Lapis.
Self-serve
Create ads for Google, Meta, and LinkedIn in the app. ChatGPT campaigns run on a managed plan.
$99
/mo- 25 credits / month
- Google, Meta, and LinkedIn
- 20 competitors + Brand Radar
- Performance forecasting
- Google Ads strategy
- Audiences + product catalog
- Content calendar + scheduling
- All templates + custom references
- 100+ languages
Managed
Lapis agents and a dedicated strategist run every campaign inside customer-set budget and approval guardrails.
Custom
Managed Meta, Google, Reddit, and LinkedIn campaigns
- 100+ traditional-channel ads
- Ad creative and campaign strategy
- Autonomous deployment and optimization
- Keyword, audience, and creative strategy
- Cross-channel experiment design
- Explore, Promising, and Scale lifecycle
- Automated budget allocation within guardrails
- RapidDomain keyword- and ad-matched landing pages
- Post-click tracking and page-level reporting
- Dedicated ad strategist
- Daily reporting and analysis
Custom
Managed ChatGPT and third-party LLM campaigns, including open-source chatbots
- 1,000+ ChatGPT ads
- Third-party LLMs, including open-source chatbots
- Brand and offer setup
- Buyer-intent experiment design
- Tagged creative at scale
- Platform-ready campaign structure
- Autonomous campaign deployment and iteration
- Confidence-adjusted reporting
- Message and theme analysis
- Autonomous next-run generation
- Optional accept, reject, or regenerate controls
- RapidDomain prompt-matched landing pages
- Dedicated ad strategist
Frequently asked questions
See what one run finds.
Book a walkthrough of the experiment design, the report, and the way each run feeds the next.