I started Lindy GEO in 2023 because I could see the window closing. Every brand in the world was still pouring money into ranking on Google while the actual discovery layer — the place where purchase decisions were starting to happen — was shifting underneath them to ChatGPT, Perplexity, Gemini. And no one had built the playbook for how to win there.

Every time a model generates a response, it's running retrieval-augmented generation against an index of sources it's been taught to trust. The question isn't whether your website ranks. It's whether your brand has sufficient entity salience across the surfaces these systems actually weight — Reddit, earned editorial, high-authority forums, structured knowledge graphs — to clear the retrieval threshold for the queries that matter. We call this the search factor. In the near term, our work is surgical: mapping the specific queries your buyers are asking AI, identifying which sources the model is pulling from for those queries, and engineering your presence into those surfaces through earned media, community-native placements, and PR strategy designed for the RAG pipeline, not the SERP.

The longer-term work is where we diverge from everyone else in the space. We operate on the training data layer. Every foundation model is periodically retrained on a filtered crawl of the open web. The sources that make it through that filter — the ones deemed authoritative, original, and high-signal enough to survive deduplication and quality scoring — become part of the model's parametric knowledge. Not retrieved at inference time. Baked in. We use our proprietary techniques to position the brands we represent as primary sources at that layer, so that when the next training run happens, our clients aren't just being cited — they're part of how the model understands the category. That's a different kind of moat.

Lindy GEO was founded in 2023, before most agencies knew this discipline had a name. We built the measurement frameworks: Model Share of Voice, citation attribution mapping, retrieval surface auditing while the industry was still debating whether AI search was real. We published the research. We defined the taxonomy. We're not adapting SEO for a new channel. We're building the discipline that replaces it.