AI SEO: be the brand AI recommends.

A complete AI SEO scope covers six workstreams: per-bot crawler access so AI fetchers can read your site, answer-first rewriting of your money pages, entity consistency across your off-site profiles, original data publishing, third-party mention and listicle placement, and citation-share measurement across every major engine. The last three are the ones most commonly missing from a proposal, and they are where citations are actually won.

Generative Engine Optimization (GEO) is the practice of getting your brand cited inside AI-generated answers, in ChatGPT, Claude, Perplexity, Google AI Mode, Gemini, and AI Overviews, instead of only ranking as a blue link. It combines entity building, answer-first content, original research, and multi-source citations so AI engines trust and recommend you.

Nothing reliable. The labels are used interchangeably across the industry and no standard separates them. Judge the scope in the proposal rather than the noun on the homepage: whether third-party mentions, original data, and a fixed measurement prompt set are in scope is the test that actually distinguishes vendors.

Traditional SEO optimizes a page to rank in a list of links. GEO optimizes your whole entity to be cited inside a synthesized answer. SEO is measured by rankings and clicks; GEO is measured by AI-citation share, how often, and how favorably, AI engines reference your brand when someone asks a relevant question.

Because the shift already happened. AI Overviews appeared on about 13% of Google queries in March 2025 (Semrush) and roughly 25% by Q1 2026 (Conductor), Google’s AI Mode passed 100 million monthly users in early 2026, and the large majority of AI-answered queries end without a click. Buyers ask an assistant for a recommendation instead of scrolling results. If AI engines don’t know or trust your brand, you’re invisible at the exact moment of decision.

Not on its own. Controlled studies in 2026 found schema has little direct effect on AI citations. We implement schema for rich results and entity hygiene, but the real levers are answer-first content, a strong brand entity, and citations across the sources each engine trusts.

We agree a fixed panel of your priority buyer prompts, then re-run that same panel on a schedule across five engines and track your citation share over time, plus brand-entity presence and qualified leads. One-off screenshots don’t survive scrutiny; repetition is what makes the number real. The metric is citations and influence in AI answers, not raw organic clicks.

Any company whose buyers research with AI assistants, especially software, apps, and B2B services in competitive categories. If prospects ask ChatGPT or Perplexity “what’s the best tool/agency/option for X,” GEO determines whether you’re in the answer.