AEO is how you show up in ChatGPT, Perplexity, and Claude. GEO is how you show up in Google's AI Overviews. Different surfaces, same playbook — and most agencies haven't built the muscle for either.
Half of all searches now end inside an AI-generated answer. Most brands aren't being cited there — not because their content is weak, but because the underlying signals AI engines actually trust haven't been built yet.
Most brands have no coherent entity profile. Schema is incomplete or wrong. Knowledge Graph entries have gaps. Wikidata is silent. ChatGPT and Perplexity build their understanding of a brand from these sources — and yours might be a stranger to them.
AI engines pull short, definitive answers from long-form pages. If your content isn't structured for extraction — clear answer blocks, scannable headers, structured FAQs, comparison tables — it gets skipped. Even when your content is the best available answer, the AI can't find the answer inside it.
LLMs cite a small, stable set of source types. Reddit threads, Wikipedia, established publications, Pinterest for visual queries. If your brand isn't being mentioned in those signal sources, you're not in the citation pool — regardless of how well you rank on Google.
~40% of this work makes your classic SEO better as a side effect. The other 60% is genuinely new — entity, extraction, citation seeding, AI tracking. Most agencies haven't built the muscle yet.
AEO/GEO is a 6–12 month compounding game — the same as classic SEO, just on a different surface. Citations don't appear on day three. They appear when entity, extraction, and signal work compound.
Where do AI engines currently surface you? Where do they surface competitors instead? We map your visibility across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Entity coherence audit — what does Knowledge Graph think you are? Schema coverage audit. By end of week one, you have a complete citation map.
Schema deployment. Wikidata correction. Knowledge Graph alignment. Existing pages restructured for extraction — answer blocks, FAQ schemas, comparison tables. First content commissioned around the high-intent prompts your buyers are actually asking AI. Bi-weekly call from week two onward.
Reddit presence built in target communities. Pinterest visual citations where the category supports it. Strategic publication mentions. Authority signals compound. By the end of month three, you should see your first AI citations on long-tail prompts — early, but real.
Citation rate compounds. New prompts surface you. Bi-weekly cadence becomes monthly. By month six, brand-adjacent prompts surface you across multiple AI surfaces. By month twelve, you're a citation default in your category — and competitors who started this work after you have to fight uphill to displace you.
AI citation is genuinely new. Most agencies showing AEO "case studies" are showing SEO results rebranded — we won't fake it. What we will do: be specific about what compounds, when, and what's outside any agency's control.
AEO tooling is younger than SEO tooling. Some of these are platforms, some are APIs, some are workflows we built ourselves. All of them touch your account every week.
AEO/GEO is a young discipline. The honest fit list is shorter and stricter than for classic SEO — but that's where the compounding wins live.
AEO/GEO is new enough that most prospects walk in confused. These are the answers we give in audit calls — laid out so you don't have to ask.
AEO — Answer Engine Optimization — is how you show up inside chat assistants: ChatGPT, Perplexity, Claude. GEO — Generative Engine Optimization — is how you show up inside Google's AI Overviews and similar generative search surfaces.
Different surfaces, mostly the same playbook. Most practitioners use the terms interchangeably; we don't bother arguing about the labels. The work is what matters.
No, but the overlap is real. Roughly 40% of AEO/GEO work — schema markup, entity architecture, content quality — also helps classic SEO. That part isn't new.
The other 60% is genuinely different: structuring content for extraction (not just ranking), seeding citation sources LLMs trust (Reddit, Wikipedia, Pinterest for visual queries), tracking AI mentions across surfaces. That work doesn't exist in classic SEO.
No. The opposite. Schema improvements help both. Content restructured for extraction tends to perform better in classic search too — clear answer blocks reduce bounce rates and increase dwell time, which Google rewards.
You compound — you don't trade off.
Weekly tracking across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. We log specific prompts your buyers might ask, run them at regular intervals, and capture which prompts surface your brand, which surface competitors, and which surface nobody.
You'll see the citation map move month over month. Where it's not moving, we adjust. Live dashboard, no quarterly reports.
Because the discipline is young enough that anyone showing one is either (a) showing classic SEO results rebranded, or (b) showing month-three early wins they're hoping you don't probe.
We won't fake it. We have working frameworks, working processes, and the SEO/AEO overlap means our SEO case studies — like the +217% revenue suitcase brand — already include AEO citation work as a contributing factor. Real AEO case studies with isolated impact: building them now, ready in 2026.
Together, ideally. Most clients run them as one engagement because the foundation work overlaps and the cost of running them separately is higher than running them in parallel.
If you must pick one to start: SEO first, AEO second. Not because AEO matters less — but because SEO foundations make AEO work easier. You build the entity layer once, and both disciplines use it.
Voice search collapsed into AI assistant queries. "Hey Google, where's the closest coffee shop" became "ChatGPT, where should I get coffee in this neighborhood." The optimization for both is now the same work.
If you're optimized for AEO, you're optimized for voice as a side effect. We don't sell voice search separately because there's no separate work to sell.
No. Anyone who does is misleading you. AI citation depends on factors no agency controls — model training cycles, retrieval changes, query routing, source availability at the moment a user prompts.
What we promise is the work that compounds: entity coherence, extractable content, citation source presence, weekly tracking. The outcome follows. We've never had a client invest 12 months in this work and see no movement — but we won't put a date on it.
A free 30-minute AEO audit. We map where AI engines currently surface your brand vs your top competitors, identify the highest-leverage gap to fix first, and give you the citation map to keep. No pitch deck. No "discovery call."
Classic search rankings — the foundation 40% of AEO work also builds.
Explore → 03Google Ads & Meta Ads optimized for revenue, not vanity columns.
Explore → 04Storefronts, listings, and PPC for the world's least forgiving marketplace.
Explore → 05Pinterest & Reddit — the citation signal layer that powers AEO compounding.
Explore →