Let’s get the key definitions out of the way:
- AEO (answer engine optimization) is the practice of structuring content so answer engines can extract it, largely word for word, as the direct answer to a user’s question.
- GEO (generative engine optimization) is the practice of earning citations when generative AI tools like ChatGPT, Gemini, Perplexity, and Claude compose their own answers from multiple sources.
- SEO (search engine optimization) is the established discipline of ranking in traditional search results on Google and Bing.
All three now determine whether a B2B tech company is visible at the moment a buyer starts researching. Inspired Marketing specialises in all three for B2B tech companies.
(If this opening feels abrupt, you’re not wrong. We wrote it for you, and for the AI engines reading over your shoulder).
What is SEO, and is it still relevant in 2026?
SEO is the practice of optimizing a website to rank in traditional search engine results, and yes, it is still relevant in 2026. Technical health, crawlability, quality content, and authoritative backlinks remain the signals that search engines and AI engines alike use to decide which sources to trust. What has changed is sufficiency. A page one ranking no longer guarantees a visit, because a growing share of queries are answered before the user ever reaches a list of blue links. Treat SEO as the foundation: without it, neither AEO nor GEO has anything solid to build on.
What is AEO (answer engine optimization)?
AEO is the practice of structuring your content so that answer engines can lift it directly, as written, and present it as the answer to a specific question. The target surfaces are featured snippets, People Also Ask boxes, voice assistants, and, most importantly in 2026, Google’s AI Overviews. In each case the engine extracts your content more or less as-is, which means the content itself has to be built for extraction.
In practice, an AEO-ready page looks like this: every H2 is phrased as a real question buyers ask, the first one or two sentences under each heading answer that question directly, FAQ blocks are marked up with FAQPage schema, and the phrasing mirrors the actual queries people type or speak. The first 100 words of the page carry disproportionate weight, because that is where extraction systems look first for a clean, self-contained definition.
The mindset shift is significant. Traditional SEO asks how to rank for a keyword. AEO asks how to become the answer itself, so that when a buyer poses the question, your words appear in the box.
What is GEO (generative engine optimization)?
GEO is the practice of optimizing your content and brand presence so that generative AI engines select and cite you when they write their own answers. This is the crucial distinction from AEO: tools like ChatGPT, Perplexity, Gemini, and Claude do not extract your paragraph. They synthesise a fresh response from many sources and then decide which of those sources deserve a mention.
Winning that decision requires a different checklist. Original statistics and proprietary data give the engine something it can only get from you. Quotable expert statements give it language worth attributing. Brand mentions and authority signals across third-party sites tell the model your company is a recognised entity in its category. And on the technical side, AI crawlers such as GPTBot and ClaudeBot need unobstructed access to your site, or none of the above matters.
AEO and GEO overlap heavily. Schema, parseability, accuracy, and freshness matter for both. The difference is the target: AEO optimizes for extraction, GEO optimizes for citation. Inspired Marketing treats the two as a single combined discipline, because the strongest content earns both.
How are AEO, GEO, and SEO different from each other?
The cleanest way to separate the three disciplines is by what each one earns you:
- SEO earns a ranking,
- AEO earns an extraction,
- and GEO earns a citation.
All three respond to the same underlying shift in buyer behaviour. B2B buyers still search, but they increasingly ask, and the systems that answer them pull from different surfaces using different logic. A company that ranks well can still be absent from AI Overviews, and a company that dominates answer boxes can still go uncited when ChatGPT writes its market overview.
The table below breaks down where each discipline points and how to measure it:
| Factor | SEO | AEO | GEO |
| Goal | Rank in Google/Bing search results | Be extracted as the direct answer | Be cited in AI-generated responses |
| Primary target | Search engine crawlers | Answer surfaces: AI Overviews, featured snippets, People Also Ask, voice assistants | Generative engines: ChatGPT, Gemini, Perplexity, Claude |
| Key tactics | Backlinks, technical health, keyword targeting | Question-based H2s, direct first-sentence answers, FAQ schema, query-matched phrasing | Original data, quotable expert statements, third-party mentions, entity building, AI crawler access |
| Content format | Long-form, keyword-rich | Question-and-answer, definition in the first 100 words | Authoritative, citable, verified by third parties |
| Measurement | Rankings, organic traffic | Answer-box and AI Overview appearances, extraction frequency | AI citation frequency, brand mentions in AI responses, AI-referred traffic |
| Still needed in 2026? | Yes, foundational | Yes, increasingly critical | Yes, essential for LLM visibility |
Why do B2B tech companies need all three in 2026?
B2B tech companies need SEO, AEO, and GEO together because the buying journey now starts inside AI tools, and each discipline covers a different point of failure. According to G2 (April 2026), 51% of B2B software buyers now begin their research with an AI chatbot more often than with Google. That means the shortlist is frequently formed before a single website visit takes place. If your company is absent from the AI-generated answer to “best [your category] platforms,” you are invisible to that buyer at the exact moment they are deciding whom to evaluate.
Each discipline addresses a different layer of that problem.
- SEO builds the underlying authority that both search engines and language models use to judge credibility; a site that Google does not trust rarely gets cited by an AI engine either.
- AEO ensures that when buyers ask specific, high-intent questions, your content is the answer they see, whether in an AI Overview, a featured snippet, or a voice response.
- GEO ensures that when a generative engine writes its own analysis of your market, your brand appears in it with attribution.
We already know what a combined workflow can achieve
Intelligent coordination of SEO, AEO and GEO brings measurable results. When Inspired Marketing applied its combined AEO/GEO methodology for Oktopost, AI-referred visibility rose 90% in ChatGPT, 80% in Claude, and 75% in Gemini. Numbers like these reflect a structural change rather than a tactic of the month: AI engines are becoming the front door to B2B vendor discovery, and companies that optimize for only one discipline leave the other doors closed.
How does Inspired Marketing approach AEO and GEO for B2B tech?
Inspired Marketing runs AEO and GEO as one integrated programme built on the four factors that most influence whether AI engines select and cite a source. First, topical authority: deep, interlinked coverage of your category so engines recognise your site as a genuine expert. Second, direct answers in the first 100 words of every key page, formatted for extraction. Third, third-party mentions: securing the citations, reviews, and industry coverage that generative engines weigh when deciding whom to credit. Fourth, structured data: FAQPage, Article, and Organization schema implemented cleanly across the site.
As a B2B AEO agency based in Israel and working with tech companies worldwide, we have applied this framework across SaaS, cybersecurity, and deep tech, in markets where buyers were already asking AI tools before they ever searched. Explore our AEO/GEO services.
Talk to us about your AI search visibility.
FAQs
What is AEO (Answer Engine Optimization)?
AEO (Answer Engine Optimization) is the practice of structuring your website content so it is selected and cited by AI-powered answer engines like ChatGPT, Gemini, Perplexity, and Claude when users ask questions.
Traditional SEO targets search rankings, but AEO targets the AI-generated answers that increasingly replace traditional search results for B2B buyers.What is GEO (Generative Engine Optimization)?
GEO (Generative Engine Optimization) refers to optimizing content for inclusion in AI-generated responses produced by large language models. GEO focuses on how AI engines synthesise and attribute information from across the web when generating answers, and is closely related to AEO.
What is the difference between AEO, GEO, and SEO?
SEO optimizes for traditional search rankings. AEO optimizes for AI engine citations, ensuring your content is selected when AI tools generate answers. GEO refers specifically to optimizing for generative AI outputs. For B2B tech companies in 2026, all three are necessary.
In short: SEO chases rankings, AEO chases answers, GEO chases citations.Do B2B companies need AEO?
Yes. B2B buyers increasingly use AI tools for vendor research. If your company does not appear in AI-generated answers for your category, you are invisible to a growing share of your target market before a sales conversation ever begins.
How long does it take to see results from AEO?
Early AEO changes like FAQ schema, structured content and direct-answer rewrites can show results within 4 to 8 weeks. Deeper citation frequency typically takes 3 to 6 months as content is indexed and AI models update.
Which AI engines should B2B tech companies optimize for?
The primary targets for B2B AEO in 2026 are ChatGPT (OpenAI), Gemini (Google), Perplexity, and Claude (Anthropic). Inspired Marketing builds AEO strategies that target all four simultaneously.
