Written to rank on Google. Built to get cited by AI.
SEO gets you found. GEO gets you cited by the AI tools your buyers are already using instead of search bars.
Overview
Search changed. People still Google things, but they also ask ChatGPT, Perplexity, and every other AI assistant directly, and those tools answer using a much smaller set of sources than a traditional search results page. Getting found today means showing up in both places: ranking on Google and getting referenced by the AI engines that are quietly becoming the new front door to the internet.
We do both. SEO gets you found. GEO, Generative Engine Optimization, gets you cited, quoted, and recommended by the AI tools your prospects are already using instead of search bars. We handle the technical foundation, the keyword strategy, and the actual writing, so nothing gets lost in the handoff between what to write about and whether it reads like it was written by a person who actually knows the subject.
What’s included
Our process
We start with keyword research, cross-checked across multiple tools so we’re not locking a strategy into one algorithm’s opinion of what matters. Once keywords are verified, we build a content strategy and brief every piece individually, so each page has a specific job: rank for a term, answer a question, get cited by an AI engine, or all three.
On the technical side, we handle meta, schema markup, and site structure so the content is actually readable by crawlers and AI models, not just humans. Then we write, with strategy behind every page, but also with personality, because content built purely for algorithms reads like it, and both Google and AI engines increasingly reward the opposite.
Who this is for
B2B companies, service providers, and founders who need to be found: by people searching Google and by the AI tools now answering those searches on their behalf. Especially useful for anyone whose buyers research extensively before reaching out.
FAQ
SEO optimizes content to rank in traditional search results. GEO optimizes content to be understood, trusted, and cited by AI engines like ChatGPT and Perplexity when they generate answers directly. The two overlap but aren’t identical: GEO leans more heavily on clear structure, verifiable claims, and content that’s easy for a model to extract and quote.
Consistently, by publishing well-structured, factually solid content around the specific questions your buyers are asking, formatted in a way AI models can parse cleanly: clear headers, direct answers, and schema markup that supports it.
There’s no universal number. What matters more is consistency and whether each piece is targeting a verified, relevant keyword rather than publishing volume for its own sake.
Schema markup is structured code that tells search engines and AI models exactly what your content is about. It’s increasingly important for GEO specifically, since AI engines rely on it to extract accurate information.
Typically a few months for early movement, longer for competitive terms. GEO visibility can sometimes shift faster since AI engines update their sourcing more frequently than search rankings.
It should, ideally. Technical SEO without strong content underperforms, and good content without technical SEO often never gets found in the first place. The two need to be built together, not handed off between teams.