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Advertising
AI platforms are becoming premium advertising environments. Meikai helps you maximise performance end to end: plan campaigns around the intents that convert, build launch-ready ChatGPT ad groups, and grow the authority footprint that earns AI recommendations.
Meikai ranks the topics and buyer intents where AI answers already trigger ads, then classifies each one into a clear action: Buy ads where competitors show and your organic presence is weak, Defend where you're strong but exposed, Organic first where ads aren't worth it yet, and Monitor for everything else. Your budget goes to the conversations that convert, not to guesses.
Opportunities are built from real monitored ChatGPT responses across topics, funnel stages, and personas, scored on ad penetration and your organic visibility gap.
Marathon training shoes
Conversion
Best trail runners 2026
Consideration
How to choose running shoes
Awareness
Carbon-plate race shoes
Consideration
ChatGPT Ads match conversations, not keywords, so the hardest part is writing context hints: the natural-language buyer situations that decide when your ad shows. Meikai does that heavy lifting for you. From any opportunity, we draft context hints in real buyer language following OpenAI's best practices, plus a suggested max bid informed by how strong your organic presence already is, and chat card ads grounded in your real products.
Context hints are the make-or-break input in ChatGPT Ads and the easiest to get wrong by hand; we generate them from your real prompts and category context. Review and edit every field, then export a ready-to-upload CSV. Currently available for ChatGPT in the United States, Canada, Australia, and New Zealand, with the United Kingdom, Japan, South Korea, Mexico, and Brazil rolling out.
Marathon training shoes
Suggested context hints
“best running shoes for my first marathon”
“shoes to avoid injury on long training runs”
“carbon-plate vs daily trainer for race day”
Suggested max CPC
Calibrated to your organic strength
below the $3–5 baseline
LLMs cite publishers and creators that dominate their training data. Meikai identifies the most relevant partners aligned with your category gaps and AI visibility strategy so you can choose the right collaborations, define content angles that fill real gaps, and strengthen the authority signals that drive AI recommendations.
Ranked by AI citation gap, domain authority, and audience alignment to your specific brand context.
Runner's World
Publisher · Gap: Marathon
96%
fit score
Outside Magazine
Publisher · Gap: Trail running
91%
fit score
@kofiegotthardt
Creator · Gap: Daily training
88%
fit score
Sports Illustrated
Publisher · Gap: Performance
83%
fit score
@therunningchannel
Creator · Gap: Gear reviews
76%
fit score
Yes. ChatGPT Ads are live in the United States, Canada, Australia, and New Zealand, with the United Kingdom, Japan, South Korea, Mexico, and Brazil rolling out. Inventory is limited and premium-priced, which is why context targeting and efficiency optimisation are critical.
Campaign planning ranks the topics and buyer intents where AI answers already trigger ads, using your monitored ChatGPT responses. Each opportunity is scored on ad penetration and your organic visibility gap, then classified into a clear action (Buy ads, Defend, Organic first, or Monitor) so budget goes where ads trigger and your organic presence is weakest.
From any opportunity, Meikai drafts a launch-ready ChatGPT ad group following OpenAI's best practices: context hints in natural buyer language, a suggested max bid informed by your organic strength, and chat card ads grounded in your real products. You can edit every field and export a ready-to-upload CSV.
Context hints are the natural-language buyer situations that tell ChatGPT when to show your ad. They replace keywords entirely, so they're the single most important and most difficult input to get right. Written by hand they're easy to make too broad or too literal. Meikai generates them for you from your real prompts and category context, in the buyer language OpenAI recommends, so you start from a strong, editable draft instead of a blank page.
We use brand, website, product, and real prompt data to identify high-value conversational contexts and optimise budget allocation based on unique signals, not assumptions.
Yes. LLMs rely heavily on earned media and authoritative sources when generating recommendations. A strong authority footprint directly improves your organic visibility inside AI.
Yes. Advertising services are available as a standalone engagement or as an add-on to any Meikai monitoring plan.