GEA Agency

We design advertising formats integrated into AI-generated responses. The work involves identifying long-tail queries, prompt patterns and moments of exposure within the user journey. Messages are structured to fit within generated responses with semantic continuity in mind. We analyse pick-up rates, position within the response and interactions to optimise delivery and maximise demand capture.

AI Overviews are changing the hierarchy of results by introducing enriched generative blocks. We adapt your campaigns to these environments by working on assets, extensions and semantic alignment. Optimisation is based on the alignment between informational queries, authority signals and formats. We analyse insertion zones, visibility rates and interactions to position your ads effectively within these spaces.

Targeting here relies on a precise reading of intent and delivery environments. We cross-reference query data, semantic signals and interaction history to adjust your campaigns. Bids, messages and formats evolve in line with the actual context of exposure. This approach reduces budget waste, improves ad relevance and better captures users at key moments in their journey.

We structure your presence within AI-generated responses that include sponsored placements. This involves identifying eligible queries, available formats and integration conditions. Content is adapted to meet the readability and relevance criteria of AI engines. We also track cited sources, frequency of appearance and integration depth to strengthen your visibility.

Advertising content must fit into generated responses without breaking the reading experience. We work on the structure of your messages, information density and semantic signals. The objective is to produce content that AI engines can use directly. We test different wording variations, analyse their pick-up rate and refine content to improve its integration and performance.

We put in place carefully considered tracking. This covers impression tracking within responses, interactions and associated conversions. Data is cross-referenced with SEO and PPC performance to provide a complete picture. We analyse sources, journeys and touchpoints to identify the most effective approaches and continuously adjust your strategies.

We continuously test formats and response structures. Tests cover wording, length, information hierarchy and integrated signals. Each variant is analysed for its pick-up rate, impact on interaction and conversion. This allows you to identify the most effective formats and progressively improve the performance of your AI campaigns.

We identify conversational queries that trigger generated responses (e.g. comparisons, recommendations, solution choices). We analyse cited sources, response structure and integrated formats. Content is then optimised to meet pick-up criteria (structured blocks, direct answers, named entities, etc.). In parallel, we run campaigns targeting these queries to capture demand. Management is based on tracking mentions, indirect clicks and associated conversions.