A GEO Agency for Brands That Want to Be the Answer AI Gives
Your buyers are already asking ChatGPT, Perplexity, and Google’s AI Overviews which company to choose. Those tools answer with a handful of names — and if yours isn’t one of them, you’ve lost the deal before any click, any ad, any ranking had a chance. Generative Engine Optimization is the discipline of earning your place in those answers. Most agencies haven’t caught up to it. We build for it now.
What GEO actually is — a plain explanation
Generative Engine Optimization (GEO) is the practice of making your brand visible inside AI-generated responses. When someone asks an AI assistant “best ecommerce platforms for small business” or “which agency should I hire for X,” the model composes an answer from what it has learned and what it retrieves in real time — and it cites or recommends specific companies.
GEO works on the factors that decide who gets named: whether your expertise is published in places AI systems retrieve from, whether your content is structured so machines can parse and quote it, whether your brand is consistently associated with your category across the open web, and whether independent sources corroborate what you claim. Traditional SEO earns you a position on a results page. GEO earns you a mention in the answer itself — increasingly, the only thing many buyers ever read.
Why this can’t wait for “best practices” to settle
Search behaviour is migrating from links to answers, and AI systems have a conservatism built in: they repeatedly cite sources and brands they already trust. Which means visibility here compounds — the brands that establish authority in AI answers early become the reference points later entrants have to displace. Waiting until GEO is a mature, commoditised service means starting from behind, in a channel where being early is most of the advantage. Meanwhile, competition for this expertise is almost nonexistent today. That’s precisely the moment to move.
How IML approaches GEO — as a layer of the system, not a gimmick
GEO fits naturally into our trust layer, and that’s not a coincidence: AI systems are, at bottom, trust machines. They recommend entities the web consistently vouches for. Our GEO work includes an AI-visibility audit — what do the major assistants currently say when buyers ask about your category, and where do you appear or not appear; entity and brand-consistency work so machines unambiguously understand who you are and what you do; content engineered for retrieval and citation — structured, factual, quotable, genuinely authoritative; and third-party presence-building in the sources AI systems draw on.
And because we build connected systems, GEO doesn’t float alone. Being cited by an AI is demand; what happens when that buyer lands on your site is conversion. We wire both — the same systems discipline that, in our demand-and-qualification rebuild for EngineRoom, produced a 4.8x return on ad spend with 92% of lead qualification automated (their tracked results, used with permission).
Honest expectations
GEO is an emerging discipline. Measurement is younger than in paid or SEO, and anyone guaranteeing “top of ChatGPT in 30 days” is selling you a story. What we commit to: rigorous baseline tracking of your AI visibility, systematic work on the factors that demonstrably influence it, and honest reporting on movement. Early channels reward the disciplined, not the loud.
The citation game has new referees
When ChatGPT, Perplexity, or Google’s AI Overviews answer a buyer’s question, they cite a handful of sources — and those citations are the new page one. GEO (Generative Engine Optimisation) is the discipline of becoming the source engines quote: content structured as extractable answers, entity clarity so machines know exactly who you are, schema that removes ambiguity, and authority signals that make you safe to cite.
It’s early — which is the opportunity. Most Indian businesses haven’t started; the ones that structure themselves now become the default citations their whole category inherits later.
How we make you quotable
Our GEO work runs in layers. Entity foundation: consistent identity across your site, profiles, and the knowledge graph. Answer architecture: pages restructured so every buying question gets a direct, liftable answer with depth beneath it. Technical clarity: schema, clean headings, and crawl access for AI agents. Authority: citations and mentions that teach engines you’re credible. Then measurement — tracking your visibility in AI answers the way we track rankings, because what gets measured gets defended.
Closing CTA
Want to know what AI assistants say about your category right now — and whether you’re in the answer? Book a free Growth Strategy call and we’ll include an AI-visibility teardown. If it doesn’t surface a constraint worth fixing, you keep the teardown and owe nothing.
Book Your Growth Strategy Call →
Straight answers
Is GEO replacing SEO?
No — it’s growing beside it. Classic search still drives most commercial clicks; AI answers are taking a rising share of research queries. Structured right, one content system feeds both surfaces.
How do you measure GEO results?
Visibility audits across the major AI engines for your buying questions, plus referral and brand-search lift. The measurement stack is young; ours is honest about what it can and can’t attribute.
Does GEO work for local businesses?
Increasingly — AI assistants answer “best X in city” questions constantly, and they source from reviews, profiles, and structured local content. Local GEO overlaps heavily with strong local SEO.
How long before AI engines cite us?
Weeks for low-competition questions, months for contested ones. Early-mover advantage is real: engines form source habits, and habits are sticky.