The paid side of AI search: sponsored placements inside AI answer engines like Google AI Mode and ChatGPT, currently limited pilots expanding through 2026, run as a measured program once you have access. GEO earns the citation for free; GEM pays for the placement.
Generative Engine Marketing is paid advertising inside generative AI engines. As Google's AI Mode rolls out 'Sponsored' placements and OpenAI tests a self-serve Ads Manager in ChatGPT (in beta, 2026), GEM is how you buy, target, and measure that emerging inventory. It is the paid counterpart to GEO's organic citations, run with the same discipline as paid search: lead quality, efficient spend, and clean attribution. (This paid layer is also called GEA, Generative Engine Advertising; the terminology is still emerging and not fully standardized. We run it as one program.)
Generative Engine Marketing (GEM) is the paid side of AI search: buying clearly-labeled sponsored placements inside AI answer engines so your brand appears when someone asks the assistant a buying question. It is the paid counterpart to GEO's organic citations, the same split as paid search versus SEO.
The paid layer is still early and the terminology is emerging: Google is testing and expanding clearly-labeled 'Sponsored' ads in AI Overviews and AI Mode, and OpenAI has begun testing clearly-labeled ads in ChatGPT that appear separate from its answers.
You supply targeting, budget, and creative, or a product feed, and the engine serves a clearly-labeled sponsored result alongside its answer. OpenAI's Ads Manager (in beta; access limited to approved advertisers via sign-up and onboarding review) runs product-feed campaigns for ChatGPT ads: the catalog you already send Google Shopping can often be used with little change, though products must conform to and pass validation against OpenAI's own feed spec before campaigns run.
ChatGPT ads are a separate OpenAI ads product, functionally comparable to Google's product listing ads but not the same.
Ecommerce brands running AI shopping ads, lead-generation and local businesses driving calls and form fills from AI answers, and any team already buying Google or Meta ads that wants the new AI-answer inventory bought and measured with the same discipline.
A retailer reformats its Shopping catalog to the ChatGPT feed spec and runs product-feed ads; when a shopper asks the assistant to compare options, its products can surface as sponsored results, driving catalog clicks and tracked sales.
See if Generative Engine Marketing (GEM) is the right move for your team.
Request a free quoteIllustrative example, styled to show the kind of output we deliver.
How we get brands named and cited inside AI answers, not just ranked in blue links.
Result Started getting named and cited in AI answers for several category queries within a quarter.
Result Picked up AI Overview citations on bottom-funnel queries and measurable assisted conversions.
Examples are anonymized to honor client NDAs and edited to illustrate typical scope, outcomes vary by market, budget, and starting point.
GEM produces results by treating AI-answer placements as a real paid-media channel, not a novelty: we apply for early access wherever an engine offers an ad program (today, ChatGPT shopping remains organic-only), feed it a validated product catalog or targeting, then, where inventory is buyable today, serve clearly-labeled sponsored results against buying-intent queries and manage that spend against competitive cost-per-click (CPC) or cost-per-thousand-impressions (CPM) targets, tracking post-click conversions through UTMs and analytics integrations and, where the platform supports it, the engine's own pixel or conversions API. Some AI-answer ad surfaces do not yet expose CPA-style buying controls directly; where unavailable, we manage to CPC/CPM and post-click conversion efficiency. The mechanism is the same demand capture as paid search, moved to the surface where buyers are now asking the question.
GEM works because generative engines are collapsing research and shortlisting into a single answer, so the labeled placement inside that answer captures intent at the exact moment a buyer is deciding, the same reason paid search outperformed banner advertising. Treating it as measured performance media, gated access, a validated feed, intent targeting, efficient cost-per-click, and incrementality-based attribution, beats the naive 'spray budget at a shiny new channel' approach because it only scales spend behind placements that prove out against a competitive CPC and real post-click conversions. And because the inventory is early and uneven across engines, disciplined buyers who instrument it now build account history and learning that can compound if and as these surfaces expand through 2026.
GEM is the PAID side of AI search: buying sponsored placements inside generative engines like ChatGPT and Google's AI Mode. GEO (Generative Engine Optimization) is the ORGANIC side: structuring your content so those engines quote and cite you for free. Same real estate, the AI answer, reached two ways. It mirrors paid search (ads) versus SEO (organic). Some in the field call the paid side GEA (Generative Engine Advertising); the discipline is the same. Most brands run GEM and GEO together, and we coordinate them.
As of 2026 this is early and still rolling out: OpenAI is testing its Ads Manager (beta; approved advertisers via sign-up and onboarding review) that serves ChatGPT ads, with sponsored results shown separate from (not inside) the answer, and Google's 'Sponsored' ads are broadly available in AI Overviews (incl. the US) while AI Mode ad placements are still in testing. Perplexity tested ads through 2024-2025 and then pulled them, and Anthropic's Claude is staying ad-free. We manage the inventory that is live and move as new surfaces open.
Like performance media, not brand impressions. We track AI-ad spend to clicks, leads, and pipeline, which engine, which placement, and what each dollar returned, and coordinate it with your Google, Meta, and Microsoft budgets as one funnel rather than a siloed experiment.
It is the same paid discipline extended to a new surface. As buyers move research into AI assistants, ad inventory is opening inside those answers. GEM is how you buy it deliberately and measure it, coordinated with your existing paid channels. If you want the organic side, being cited without paying, that is GEO, and we run both together.