Four different agencies can pitch you four different acronyms and describe the same work. One sells Generative Engine Optimization. One sells Answer Engine Optimization. One sells AI SEO or AIO. One has started saying LLM SEO because it sounds more technical. A business owner trying to compare proposals is left wondering whether these are four services, two services, or one service with four price tags.
The short version is that they are one discipline. The long version is worth reading because the vocabulary is being used, deliberately in some cases, to make a fairly understandable practice sound more mysterious than it is.
Generative Engine Optimization Is the Academic Name for the Same Thing
The term GEO came out of a 2023 research paper from Princeton and a few partner universities that studied which content characteristics made a page more likely to be cited by AI-generated search results. The researchers found that adding statistics, quoting credible sources, using clear and authoritative language, and structuring content so it could be lifted cleanly all measurably increased citation rates.
That paper gave the industry a name and a starting playbook. “Generative engine” simply means any search tool that writes an answer rather than listing links, which covers ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, and Copilot.
GEO as a term skews toward content strategy. Agencies that lead with it tend to focus on how pages are written and formatted. That is a real and important part of the work, and it is also only about a third of it.
Answer Engine Optimization Came From the Voice Search Era
AEO predates the current AI wave. The phrase showed up around 2017 and 2018 when SEO practitioners were trying to win featured snippets and voice assistant answers on Alexa, Siri, and Google Assistant. The tactics were about structuring content as direct question-and-answer pairs, marking up FAQs with schema, and writing the kind of concise definitions a voice assistant could read aloud.
When ChatGPT arrived, the AEO crowd pointed out that they had been optimizing for answers all along, and the label got a second life. That history is why AEO-flavored proposals tend to emphasize FAQ pages, schema markup, and snippet-style formatting.
Those tactics still work. AI engines love a clearly marked question followed by a clean, complete answer. But AEO on its own underweights the entity and citation side of the problem, which is where a lot of the recommendation decisions actually get made.
AI SEO and AIO Are the Plain-Language Umbrella Terms
“AI SEO” is what business owners actually type into Google, which is why it has become the catch-all. AIO (AI Optimization) is the shorter industry version. Both are broad enough to cover content, technical, entity, and citation work together, and that breadth is the point.
Our team uses AI Search Optimization (AIO/GEO) as one combined label because separating them creates a false choice. Nobody needs to decide between optimizing content for generative engines and optimizing their business entity for AI retrieval. They need both, and they need them coordinated with the traditional SEO that still feeds Google’s AI features.
LLM SEO is the newest variant and means the same thing again, with a nod to the fact that the engines in question are large language models. Expect it to show up in more proposals over the next year as the other terms get crowded.
The Three Layers of Work Every One of These Terms Describes
Strip away the branding and the actual practice breaks into three layers. A proposal using any of the acronyms above should address all three, and the ones that only cover one are the ones to be cautious about.
The first layer is the entity. AI models need to know, with confidence, what your business is, where it operates, what it offers, and who is behind it. That means consistent naming and details across your site, Google Business Profile, LinkedIn, directories, and press, plus Organization and LocalBusiness schema that states it in machine-readable form. This is the layer AEO-only proposals tend to skip.
The second layer is content. Pages need to open with direct answers, use headers phrased the way people ask questions, include concrete specifics a model can cite, and cover the topic thoroughly enough that the engine treats the site as an authority. This is the layer the GEO research focused on and the one most proposals cover well.
The third layer is corroboration. For any “best,” “top,” or “who should I hire” question, AI engines lean on third-party sources. Review platforms, comparison articles, local news, industry directories, and community organizations all count. Earning a presence there is the AI-era version of link building, and it is the layer that separates businesses that get recommended from businesses that merely get described. Our AI Search Optimization (AIO/GEO) programs treat all three as one scope of work rather than three products.
Optimizing for ChatGPT Specifically Compared to the Other Engines
Chat GPT gets asked about more than any other engine, so it deserves its own note. When ChatGPT answers a commercial question it usually runs a live search, reads several pages, and synthesizes. The pages it reads are chosen by a combination of Bing’s index and OpenAI’s own relevance judgments, which means Bing rankings and Bing Places matter more for Chat GPT optimization than most people realize.
ChatGPT also weights sources it considers reliable for a category. For local services that tends to be review platforms and established directories. For professional services it leans toward bar associations, industry bodies, and published articles. For products it favors comparison sites and retailer pages with detailed specs.
Google AI Overviews and AI Mode behave differently. They start from Google’s organic results, so classic rankings carry more weight, and they favor pages with strong structured data and clear entity signals. Perplexity sits somewhere in between and is unusually transparent about which sources it used, which makes it the best tool for diagnosing why a competitor is being cited and you are not.
Optimizing for Chat GPT alone is a mistake, but ignoring its Bing dependency is a bigger one.
Picking a Provider When Everyone Uses a Different Acronym
The label on the proposal tells you where the agency came from, not how good they are. A GEO-first agency probably has strong content people. An AEO-first agency probably has strong technical and schema people. An AI SEO agency could be either, or could be a traditional SEO shop that changed its headline.
Ask to see the three layers in the scope of work. Ask how AI search visibility will be measured and reported monthly. Ask what happens to your existing Google rankings while the work is done. If those answers are clear and specific, the acronym does not matter. If they are vague, the acronym does not save them.
Getting Started With Generative Engine Optimization for Your Business
The vocabulary will keep shifting. The work underneath it is stable, and the businesses doing it now are the ones getting recommended while their competitors are still googling the acronyms.
Our team runs AI Search Optimization (AIO/GEO) programs for law firms, remodeling contractors, and local businesses that want to show up in Chat GPT, Google AI Mode, and Perplexity answers. Call or email us today and we will start with a visibility baseline that shows exactly which engines are naming your competitors and why.
The form takes two minutes. We’ll take it from there.
