Your Buyers Ask AI First. We Make Sure It Recommends You.

GEO is the practice of structuring your brand's digital footprint so generative answer engines — ChatGPT Search, Perplexity, Google AI Overviews, and Copilot — cite you directly inside a synthesized answer. Traditional SEO chases a ranked list of blue links through keywords and backlinks. GEO optimizes for vector relevance, entity salience, and information gain, so an AI model picks your brand as a source when it composes the answer — not only when someone happens to click through.

It depends how much unstructured content and entity ambiguity exists before we start. Early technical fixes — schema consolidation, knowledge-graph disambiguation, information-gain restructuring — usually show up in evaluation crawls within the first few weeks. Durable citation share, where an engine keeps choosing your brand across repeated, varied queries, is a compounding result we track and report on an ongoing basis rather than promise by a fixed date.

No honest GEO partner can promise a specific citation — none of us control OpenAI's, Perplexity's, Google's, or Microsoft's model weights or retrieval systems. What we do control, and what we're accountable for, is the structural quality of your entity: clean knowledge-graph representation, disambiguated authorship, well-scoped topical authority, and content with genuine information gain instead of repackaged summary.

Regulated and technical verticals often see the biggest GEO gains, because generative engines lean hard on clear expertise signals when a query has real-world consequences — financing terms, compliance thresholds, technical specs. The work leans more on entity disambiguation and citation-worthy primary data than on sheer content volume.

Rank tracking checks where a URL sits on a results page for a fixed keyword list. Vector Drift Monitoring re-runs a live panel of real prompts against the major generative engines on a recurring basis and tracks whether you're still being retrieved and cited as models update and competitors publish — because a citation you earned this quarter isn't guaranteed to survive the next one.

It starts with an audit of what generative engines say about your brand when asked directly — hallucinated facts, outdated leadership info, conflated competitors. We then correct the underlying sources models draw from — structured data, authoritative bios, disambiguated entity pages — and keep monitoring, rather than prompt-engineering around a symptom that resurfaces at the next model update.