Get Found — and Cited — by AI Search

Classic SEO gets your page ranked in a list of blue links a human clicks through. GEO (Generative Engine Optimization) gets your content quoted, summarized, or cited directly inside an AI-generated answer — ChatGPT, Perplexity, Claude, or a Google AI Overview. The technical foundation overlaps heavily (speed, structured data, clear writing); GEO adds a layer that makes content retrievable and citable by a language model rather than just crawlable by a search index.

No — and nobody who tells you otherwise is being straight with you. No vendor controls what a generative model chooses to cite in a given answer. What we can do is make your site maximally retrievable, verifiably accurate, and structurally easy to quote: clean markdown twins, a real identity graph, an llms.txt index, and crawler access that does not accidentally block the engines you want reading you. Then we measure whether citations show up over time instead of promising a number we cannot control.

llms.txt is an advisory community standard (see llmstxt.org) — a plain-text index at the root of a site pointing assistants at your most important pages. It costs almost nothing to publish, some AI assistants and retrieval pipelines already check for it, and the agent-conformance scanners we use for the "Verify" step in our process look for it directly. It is not a guarantee of anything, but it is a near-zero-cost signal we see no reason to skip.

That is a real option, and for some businesses it is the right one — but understand the trade. Blocking bots like GPTBot or ClaudeBot outright removes you from the AI-generated answers your prospects are reading, not just from AI training sets. A signal-first robots.txt using Content Signals and the emerging AI-preference headers lets you separate the two: allow retrieval for answering questions, decline use for model training. We help you pick the policy that matches your actual risk tolerance, not a default.

The technical implementation — crawl policy, markdown layer, schema, llms.txt — typically ships within a couple of weeks of the audit. Whether and how often you get cited in generative answers depends on factors outside anyone’s control, including how often the underlying models refresh their retrieval indexes. We treat it like SEO always has been: measurable within a quarter, compounding over a year.

We start with a flat-fee AI-readiness audit, then scope the implementation work as a fixed quote based on what your site actually needs. Ongoing maintenance and standards-tracking bills at our standard $150/hour engineering rate. No retainer required to get started.