Answer Engine Optimization: the SEO strategy every B2B needs

Online search is big business. Google now processes over 14 billion searches per day, a figure that has grown alongside the parallel rise of AI-powered search tools that are fundamentally changing how queries are answered. It’s a well understood fact that of those searches, the top three placed results on any Search Engine Results Page (SERP) garner the most traffic.

At least, it was. Driving content to a website is becoming increasingly challenging and may result in less direct traffic due to the rise of zero-click searches. The proliferation of generative AI chatbots, from ChatGPT and Copilot, to Claude and Perplexity, to Google’s own AI Overviews, which now appear on the majority of informational queries globally, are changing the very nature of search.

While website traffic from organic search remains important, it should no longer be the sole priority for marketers. Instead, we should focus on enhancing overall visibility and providing value to users directly in search results. Answer Engine Optimization (AEO), augmented by Generative Engine Optimisation (GEO), is a quickly emerging strategy that focuses on optimising content to directly answer user queries within search results (and to earn citations in AI-generated responses) improving visibility even when users don’t click through to a website.

Unlike traditional SEO, which aims to rank web pages, AEO targets featured snippets, “People Also Ask” boxes, and knowledge panels, while GEO focuses on earning citations in AI-generated answers from platforms such as ChatGPT, Perplexity, and Google’s AI Overviews. When someone asks a question the search engine aims to find the most direct and relevant answer. What’s more, the increasing use of AI tools and AI-generated search queries is shifting users away from traditional ways of searching, and changing how queries are phrased.

And when we say ‘asks a question’ we don’t just mean a user typing in a query, as rich results are used by voice-activated assistants, such as Apple’s Siri or Amazon’s Alexa, too.

From a marketing perspective, AEO and GEO reflect a fundamental change in how people interact with search engines. Users now expect immediate, accurate answers to their questions, often without needing to click through to a website.

The bottom line is that businesses and content creators must adapt their strategies to provide clear, concise answers that can easily be extracted and displayed by result engines in whichever form end users want to use them, including by the Large Language Models (LLMs) that now sit at the heart of AI search.

The key differences between AEO, SEO and GEO

An overarching SEO strategy is about optimizing a website’s structure, content, and external links to improve its visibility and ranking in search engine results pages, ultimately driving more organic traffic to the site.

AEO can best be described as a tactical subset of SEO (Search Engine Optimization). They are both looking to do the same task, just with different results. SEO is aimed at serving up the whole web page with insight and authority, as a link that will entice visitors to click and visit your website. For AEO, the emphasis is more on content structure and direct answers rather than traditional SEO elements, which often means answering questions as quickly and succinctly as possible and establishing yourself as a source of authority by doing so, if indirectly.

GEO takes this a step further. While AEO targets on-SERP features (snippets, PAA boxes, knowledge panels), GEO is the practice of optimising content to be cited in AI-generated responses across large language models, such as ChatGPT, Google’s AI Overviews, Perplexity, and others. As Google’s Danny Sullivan has said, “good SEO is good GEO” but GEO introduces additional considerations around content structure, brand mentions, and authority signals that go beyond traditional SEO.

Think of the three as a hierarchy: SEO gets you ranking. AEO gets you featured on the results page. GEO gets you cited in the AI’s answer.

When considering building AEO and GEO into any SEO strategy, it is no longer about driving users to the site straightaway: it is about optimising for featured snippets and “People Also Ask” boxes in SERPs, and earning citation in AI-generated responses. It is a tactical shift that involves a brand owning more real estate across SERPs and AI answer surfaces than how it physically ranks. Furthermore, once the strategy is right, AI tools will start to reference responses too, giving the overall site greater visibility.

Benefits of implementing AEO and GEO

The benefits of implementing AEO and GEO into your SEO strategy come in different forms. By placing highly on featured snippets websites gain a higher click-through rate than possible without it. Similarly, with increased visibility in AI-powered search results, brands can benefit from discovery by users who may never have found them through traditional blue-link search.

Google has found through testing with AI Overviews that users are already visiting a wider variety of websites for deeper research and more complex answers to questions. It is hoped that AEO and GEO benefit all content creators by surfacing content that leads to more interest around a subject.

For the end user AEO and GEO can, depending on the topic, offer a better user experience, as rich results offer a quick response to a query that will hopefully lead to further revealing queries that push through to actual web pages beyond the SERP page.

Shaping AEO and GEO strategies for B2B

When framing queries, it is important to think like an end-user, form questions, or ‘search intent’, using natural language with a conversational tone. By defining the search intent, you can start to define and target specific keywords and queries. This also highlights that technical SEO still matters – H1 tags and meta descriptions still help search engines understand the content and structure of your page.

The most direct way is to focus on question-based keywords. ‘What is’, ‘When was’, ‘How do I’ are all great ways to start to frame AEO terms for the page. The most common approach for this is by creating an FAQ section with supporting schema markups. Rather than vague internal phrasing, use specific, user-facing B2B queries:

•       Instead of “What is our onboarding process?” use “How long does onboarding take for an enterprise SaaS platform?”
•       Instead of “What do we offer?” use “What’s the difference between a B2B marketing agency and a PR agency for tech companies?”
•       Instead of “Can I integrate with our tools?” use “Does [product name] integrate with Salesforce and HubSpot?”

 The specificity matters as these are the exact queries B2B buyers are asking AI platforms when they’re in vendor evaluation mode.

Once you have a list of questions, it is important to create concise, direct answers. Answering the search intent correctly and concisely is the only way AI tools will, for example, use the content.

Let’s talk AEO and GEO strategy

Optimizing AEO for voice searches is slightly different to optimizing for standard web results as results require to be formatted as full sentences. From a strategic point-of-view, this means bringing in additional long-tail keywords to explanations and adding more context to answers.

Answer Engine Optimization and GEO and building content to directly answer user queries in search results doesn’t work in isolation, it needs to be a fundamental part of any SEO strategy. 

Optimising for different AI platforms

Not all AI platforms are equal and the way they retrieve and cite content differs in ways that matter for B2B marketers.

• ChatGPT (OpenAI): Primarily uses Bing for real-time web queries, though OpenAI increasingly draws on its own indexing. Strong Bing performance, well-structured authoritative content, and clear brand attribution all improve your chances of citation.
•  Google AI Overviews and AI Mode: Driven by Google’s existing search infrastructure. Strong traditional SEO using E-E-A-T signals, high-quality backlinks and schema markup remains the primary lever. Google AI Mode (the dedicated AI search tab launched in 2025) provides a more conversational interface and rewards content that comprehensively addresses the full scope of a query.
• Perplexity: Has built a largely independent search index and crawler. It rewards content that is factually rich, well-sourced, and structured as clear answers. Perplexity users tend to ask research-oriented, technical, and comparative questions, making it particularly relevant for B2B.
• Claude: Has its own web search capability available across most regions. Rewards well-structured, authoritative content that ranks well in Google, so much so Google performance remains the foundation.
• Grok and Meta AI: Newer surfaces worth monitoring. Grok is integrated across X (formerly Twitter) and is increasingly relevant for industries with active professional communities on the platform. Meta AI, embedded across WhatsApp, Instagram, and Facebook, is more consumer-facing today but will become relevant to B2B brands as adoption grows.

 The practical implication: don’t assume AI optimisation means Google only. Know where your B2B audience asks questions and strengthen your underlying SEO on the search infrastructure those platforms rely on.

Measuring your AEO and GEO performance

Traditional SEO metrics, including rankings, organic traffic and conversions, remain important. But to know whether your AEO and GEO efforts are working, you need additional measurement layers:

• AI citation frequency: How often does your brand or content appear in AI-generated responses to relevant queries? Test this manually with prompt testing across ChatGPT, Perplexity, and Google AI Overviews, or use specialist tools such as Profound or Brandwatch’s AI monitoring.
• Featured snippet and PAA ownership: Track which queries you own in traditional SERP features via Google Search Console and Ahrefs or Semrush.
• Brand mention sentiment: When AI platforms reference your brand, how are they describing you? Manual prompt audits such as asking AI tools to describe your brand, compare you to competitors, or recommend solutions in your category can surface how you’re being positioned.
• Share of voice across AI platforms: Over time, benchmark how often you appear versus competitors in AI answers to category-level queries.

 Start with manual prompt testing as it requires no tools and gives immediate insight. As you build a baseline layer in automated monitoring.

AEO and GEO: Frequently Asked Questions

What is the difference between AEO and GEO?

Answer Engine Optimisation (AEO) focuses on getting content featured in SERP snippets, ‘People Also Ask’ boxes, knowledge panels, and voice results. Generative Engine Optimisation (GEO) is the broader practice of optimising for citation in AI-generated responses across platforms like ChatGPT, Perplexity, and Google AI Overviews. Think of AEO as the original strategy and GEO as its evolved, AI-era form as they share the same foundation but GEO introduces new considerations around brand mentions, conversational content structure, and cross-platform authority.

How long does it take to see results from AEO and GEO?

Featured snippet and ‘People Also Ask’ placements can appear within weeks of publishing well-structured, authoritative content. AI citation in platforms like ChatGPT and Perplexity typically takes longer to establish, as it depends on your underlying authority signals and how frequently your content is indexed. Brands that already have strong traditional SEO typically see faster GEO results.

Is AEO and GEO relevant for B2B specifically?

Yes, arguably more so than for B2C. B2B buyers tend to use AI search tools for research-intensive, high-consideration queries: vendor comparisons, technical integration questions, ROI benchmarks, and category definitions. These are exactly the query types where AEO and GEO content performs best.

Do I need to choose between SEO and AEO/GEO?

No. SEO remains the foundation as it determines whether your content appears in the search results that AI systems analyse. A well-formed SEO strategy gets you approximately halfway to an effective GEO strategy. The two are complementary, not competing.

Let’s build your AEO and GEO strategy

AEO and GEO don’t work in isolation, from initial keyword audit to schema implementation and editorial execution, getting it right takes dedication, insight, and an understanding of how AI search is evolving.

At Archetype UK, we’ve developed integrated AEO/GEO strategies for B2B brands across tech, fintech, and professional services. Whether you’re starting from scratch or want to audit your existing content for AI readiness, we can help.

Author

• Mike Browne
  With over 25 years in editorial leadership, Mike specialises in bridging the gap between high-quality content and the technical logic of modern search, ensuring brands stay visible as search engines shift toward AI-driven answers. By aligning editorial strategy with the way AI models discover and cite information, Mike helps businesses move beyond traditional SEO to build authority that both humans and machines trust.

Related reading:

→  Why smart marketers are adding GEO to their SEO strategy

→  GEO builds on good SEO — and good SEO still needs originality

→  Your earned content and your FAQ pages are now linked