Three acronyms. One visibility program.
AEO, AIO, and GEO are three layers of the same job: making sure AI systems can read you, trust you, and name you when your customer asks - across AI Overviews, ChatGPT, Gemini, and Perplexity.
Three acronyms, one job.
Most of the industry uses these three acronyms interchangeably, and they do overlap heavily - one agency's GEO package is another's AEO package. We use them to name three distinguishable jobs so you can see what you're actually buying. AEO - answer engine optimization - is being the answer: pages built so an assistant, a featured snippet, or a voice result can lift your response cleanly. AIO - AI optimization - is the machine-readable layer underneath: schema, entities, large language model instructions, crawler access, and business facts that stay consistent everywhere a model might check. GEO - generative engine optimization - is the authority layer: earning the third-party citations and mentions generative engines draw on when they decide whose name to say.
They aren't three retainers. They're one program, because doing one without the others leaves you invisible in a different way each time. Perfect answer content that models can't parse never gets quoted. Flawless schema with nothing worth citing gets read and ignored. Strong authority with no extractable answers gets summarized around you. We run all three together, measured against the prompts your actual customers type.
Answer engines, AI systems, generative search. All three covered.
AEO makes you the answer. AIO makes you readable. GEO makes you the cited source. You need all three.
How we run it.
What clients see.
Sessions referred by AI assistants.
Calls and forms traced back to AI.
AI-sourced sales, not mentions.
ChatGPT, Gemini, Perplexity, and Copilot referrals.
These describe the kind of outcomes our approach is built to deliver - not a guarantee or prediction of results. Performance varies by business, market, and execution.
Questions, answered.
Honestly, less than the marketing suggests - there's no agreed industry standard, and most agencies use the three terms interchangeably. Here's how we split them: AEO - answer engine optimization - is content built to be the answer, so it can be lifted into a snippet, a voice result, or an assistant reply. AIO - AI optimization - is the machine-readable layer: schema, entities, large language model instructions, and crawler access that let AI systems parse and verify your business. GEO - generative engine optimization - is the authority layer: earning the third-party citations generative engines draw on when they decide whose name to say. Judge any AI search pitch on the scope of work, not the acronym on the invoice.
You need all three eventually, but they don't start at once. AIO comes first because it's foundational and fastest - schema and crawler access ship in weeks. AEO follows on your priority pages. GEO is the long game, since citations and authority compound over months. We sequence them so early work keeps paying while the slower layer builds.
It overlaps heavily and doesn't replace it. AI engines are built on search infrastructure - they crawl the same web and lean on the same authority signals, so strong SEO is the entry ticket. What changes is the target: SEO wins a ranked link, AEO wins the answer, GEO wins the citation. We run them together because they reinforce each other.
You can't control it, and anyone promising otherwise is selling something. You can strongly influence it through the signals retrieval systems actually use: extractable answers, verified structured data, consistent entity facts, and credible third-party citations. That's the whole program.
The optimization work covers Google's AI Overviews and AI Mode, ChatGPT, Gemini, Perplexity, and Microsoft Copilot - they draw on the same signals, so the work is one program rather than five. On reporting, ChatGPT, Perplexity, Copilot, and Gemini pass a referrer, so their traffic is measurable by name. AI Overviews clicks arrive labelled as ordinary Google organic, so that portion shows up inside your search numbers rather than as its own line.
In your analytics, the same way we measure every other channel. AI assistants pass a referrer when someone clicks through, so we split AI-driven sessions out as their own source, then follow those visitors through call tracking and conversion attribution to the calls, forms, and closed revenue they actually produced. You get AI-driven traffic, leads, and sales sitting in the same report as paid and organic - not a screenshot of a chatbot saying something nice about you.