Turning AI engines into an acquisition channel: +97% sessions in one quarter
Context
Supporting morning in rolling out a GEO strategy designed to capture the growth of generative engines such as ChatGPT, Perplexity and Gemini. As search habits evolve, the goal was to position the brand as a reference in AI answers on topics related to crypto storage.
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The objective was twofold: maximize morning's presence in answers generated by LLMs, while turning that visibility into qualified traffic to the site. The brand already had strong awareness and a solid SEO foundation, but one that was not well structured for the extraction and citation logic specific to AI engines. The challenge was therefore to build a strategy suited to these new environments, capable of improving visibility, authority and acquisition performance on this emerging channel.
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Solution
Semantic optimizations
- Overhaul of strategic content to structure information so it can be extracted by LLMs: direct answers, clear definitions, factual comparisons.
- Work on entities and topical coverage so that morning's pages are identified as reliable sources by language models.
- Creation of comparative and educational content positioning morning against its competitors on high-intent queries.
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Structured data
- Deployment of enriched Schema.org markup (Product, FAQPage, HowTo, Organization) to make it easier for AI engines to extract information.
- Implementation of optimized metadata enabling LLMs to contextualize and cite morning's pages accurately.
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Quick answers
- Integration of direct answer blocks in strategic pages, formatted to be reused as-is in generative answers.
- Optimization of FAQs and guides to cover the questions most frequently asked of AI assistants about crypto storage.
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Brand awareness improvement
- Strengthening the brand's presence on third-party sources consulted by LLMs (Wikipedia, specialized forums, tech media, Reddit).
- Targeted actions to multiply brand mentions in high-authority content.
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