Get quoted by name in ChatGPT, Perplexity, and Google AI Overviews.

What changed

Until 2024, search marketing was Google’s game. The buyer typed a query, picked a result, clicked through. SEO was the practice of being the result they picked. In 2025 and 2026 that buyer increasingly types the same query into ChatGPT, Perplexity, or Google’s own AI Overview — and reads an answer the engine wrote, citing sources the engine chose. By Gartner’s call, that flow takes 25%+ of all query volume by end of 2026. Forrester says 73% of B2B buyers already use it before they talk to sales. The buyer never sees your homepage. They see what the AI said about you.

What GEO actually is

Generative Engine Optimization is the discipline of making AI answer engines quote you correctly — by name — for the queries your buyer asks. It overlaps with traditional SEO but the levers are different:

• Schema.org markup that AI engines parse. Organization, Product, FAQPage, Review, BreadcrumbList. We audit what your CMS actually emits, fix the gaps, and validate against the engines’ published guidelines.
• EEAT signals (Experience, Expertise, Authoritativeness, Trust). Author bylines, credentials, citations to and from authoritative sources, structured About + Contact metadata, and a verifiable corporate footprint.
• Reddit and community presence. Reddit signed training-data deals with Google and OpenAI in 2024. Brands that participate authentically in relevant subreddits show up in AI answers. Brands that don’t, don’t. We build the presence without violating community norms.
• Citation engineering. Get cited in industry-trade publications, Wikipedia (when defensible), peer-review boards, .edu and .gov resources. AI engines weight these heavily.
• Content depth and structure. AI engines reward long-form, well-structured, expert-written content with clear headings, citations, and direct answers to common questions.

How we deliver

The free 30-day AI Visibility Audit is the entry point. After the audit, retainer engagements run on a 90-day cycle: month 1 is the visible-fix sprint (schema, EEAT, technical), month 2 is the citation + community sprint, month 3 is the content + Reddit + measurement sprint. Each cycle ends with a re-run of the audit so you see the delta in measurable terms — not just adjectives.

The continuous loop — why this isn’t a one-time project

AI engines retrain. Their training cutoffs move. Your competitors publish. Your reputation surface drifts. A one-time GEO sprint loses signal within a quarter. Our retainer keeps the audit running monthly via AiT Pulse, so you don’t guess at whether your visibility is improving — you watch it on a dashboard.

Proven results