What is Generative Engine
Advertising (GEA)?

The way people search for information is undergoing its biggest transformation since the launch of Google. Instead of typing keywords and browsing through a list of blue links, consumers are increasingly asking AI assistants for direct answers. ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot synthesize information from across the web and deliver comprehensive responses in natural language.

This shift has profound implications for advertising. Traditional search ads depend on clicks — a user sees a sponsored link, clicks it, and lands on an advertiser's page. But AI-generated answers don't produce clicks in the same way. The AI reads, summarizes, and cites web content on behalf of the user, often eliminating the need to visit the source website entirely.

Generative Engine Advertising exists to solve this problem. Rather than trying to retrofit old ad formats into a new paradigm, GEA creates a native advertising channel purpose-built for AI search.

To understand GEA, it helps to compare it with the advertising models it complements:

While SEO and SEM operate in the world of links and clicks, GEA operates in the world of mentions and citations. The metric shifts from "Did the user click?" to "Was the brand mentioned, cited, or recommended in the AI's answer?"

GEA follows a model similar to programmatic advertising, adapted for the AI search ecosystem. The infrastructure involves three key components:

The Demand Side (DSP for AI Search)

Advertisers — brands and agencies — use a demand-side platform to define their campaigns. Instead of bidding on keywords (as in Google Ads), they bid on prompts, topics, and conversational contexts. For example, a running shoe brand might target AI conversations about "best running shoes for marathon training" or "trail running gear recommendations."

The Supply Side (SSP for Publishers)

Publishers, content creators, and media owners provide the high-quality content that AI engines cite in their responses. Through a supply-side platform, publishers can monetize their content when it is referenced in AI-generated answers that include sponsored placements. This creates a new revenue stream for the open web.

The Matching Engine

The GEA platform matches advertiser bids with relevant AI conversations and publisher content in real time. When an AI assistant generates a response to a user's query, the platform identifies opportunities to include sponsored recommendations that are contextually relevant, useful, and clearly identifiable as sponsored content.

Prompt-Based Targeting

One of the most significant innovations in GEA is prompt-based targeting. Instead of targeting keywords, advertisers target the intent and context of AI conversations. A single user prompt like "Help me plan a sustainable holiday in Portugal" can trigger multiple relevant sponsorship opportunities — from eco-hotels to transportation to local experiences — all within the AI's comprehensive answer.

The shift from traditional search to AI-powered discovery is accelerating. According to industry estimates, AI-assisted search queries are growing rapidly, with platforms like ChatGPT and Perplexity handling hundreds of millions of queries per month. Google's own AI Overviews now appear for a significant and growing share of searches.

This shift creates an urgent challenge for the advertising industry:

• For brands: Traditional search ads are losing effectiveness as users get answers directly from AI, without clicking through to websites. Brands that don't adapt risk becoming invisible in the AI-mediated discovery layer.
• For publishers: AI engines consume publisher content to generate answers but send less traffic back to source websites. Display ad revenue declines as page views drop. Publishers need a new monetization model for the content that fuels AI responses.
• For agencies: Media buying strategies built around keywords and clicks need to evolve. Agencies that master GEA early will offer their clients a decisive competitive advantage in a rapidly shifting landscape.

GEA is not a future concept — it is happening now. The brands and publishers that move first will define the rules of engagement in AI search.

Brands and Advertisers

GEA gives brands a way to ensure they are mentioned, cited, and recommended when AI assistants answer questions relevant to their products or services. Instead of hoping their website appears in a list of links, brands can actively secure placement in the AI's synthesized answer — the first thing the user sees.

Agencies

For media agencies, GEA represents a new channel to add to their clients' media mix. Early expertise in GEA campaign planning, prompt-based targeting, and AI mention analytics positions agencies as leaders in the next generation of digital advertising.

Publishers and Creators

GEA creates a direct monetization path for publishers whose content is cited by AI engines. Instead of losing traffic (and revenue) to AI-generated answers, publishers earn advertising revenue when their content contributes to sponsored AI responses. This makes GEA a critical tool for sustaining the open web.

Smalk AI is the first platform purpose-built for Generative Engine Advertising. Our platform combines both sides of the GEA marketplace:

By operating both the demand and supply sides, Smalk AI creates an efficient marketplace that benefits all participants: brands get visibility in AI search, publishers get fairly compensated, and users get high-quality, relevant recommendations.