AEO vs. GEO vs. Agentic SEO: The Complete B2B Terminology Guide

The vocabulary of search marketing is expanding fast. Search engine optimization (SEO) now sits alongside three newer disciplines: answer engine optimization (AEO), generative engine optimization (GEO), and agentic SEO.

Each term describes a different way prospects discover, evaluate, and act on business information:

• A search engine might rank a vendor’s page.
• An answer engine might extract a definition from it.
• A generative engine might cite the vendor in a recommendation.
• An AI agent might compare that vendor against competitors and book a demo — without a human ever clicking through.

The simplest way to remember the progression: AEO earns the answer, GEO earns the recommendation, and agentic SEO enables the action.

What You’ll Learn

• How AEO, GEO, and agentic SEO differ — and where they overlap
• How each approach changes the way B2B buyers discover and evaluate vendors
• The two distinct meanings of “agentic SEO”
• How these emerging disciplines build on traditional SEO
• Which content, authority, technical, and measurement practices support AI visibility
• What B2B marketing teams should prioritize as search evolves from links to answers to actions

What Is Answer Engine Optimization (AEO)?

Answer engine optimization (AEO) is the practice of structuring content so a search platform can identify and present it as a direct answer to a user’s question.

AEO grew out of familiar search experiences like featured snippets, knowledge panels, “People Also Ask” results, and voice-assistant responses. Instead of optimizing only to rank a page, marketers optimize a specific passage to answer a specific question clearly and accurately.

Common AEO tactics include:

• Using buyer questions as descriptive headings
• Placing a concise answer immediately below each heading
• Organizing explanations with lists, steps, and tables
• Defining technical terms in plain language
• Adding applicable structured data (schema markup)
• Establishing the author’s expertise and citing reliable evidence

Example: A cybersecurity company wants visibility for “What is zero-trust network access?” An AEO-friendly page opens with a brief definition, then covers how the technology works, its benefits, use cases, and limitations. The answer engine gets an extractable passage; the reader gets useful context immediately.

AEO focuses primarily on the answer unit — the clearest, most useful response to a defined question. (For more detail on how this overlaps with AI search, see Nowspeed’s guide to AEO vs. GEO.)

What Is Generative Engine Optimization (GEO)?

Generative engine optimization (GEO) is the practice of improving how frequently and accurately a brand, product, or source appears in AI-generated responses.

Platforms like ChatGPT, Google’s AI search experiences, Microsoft Copilot, and Perplexity interpret a complex question, retrieve multiple sources, and synthesize a response. Visibility here can mean a citation, a brand mention, or a recommendation — even without a traditional click.

GEO expands the optimization target from a single Q&A passage to a broader ecosystem of topics, entities, evidence, and third-party authority.

Important GEO tactics include:

• Covering a subject comprehensively across the entire buyer journey
• Publishing original research, statistics, and expert analysis
• Making factual claims clear, specific, and verifiable
• Strengthening associations among the company, its products, experts, and market category
• Earning relevant mentions on credible third-party websites
• Keeping company and product information consistent across the web
• Monitoring AI citations, brand representation, referral traffic, and conversions

Example: A data-governance provider wants to appear when a buyer asks an AI to compare data-lineage approaches or recommend platforms for a regulated enterprise. A concise definition isn’t enough — the brand needs authoritative content and external validation that cement its place in the category.

GEO also drives measurable business results. In one engagement, Nowspeed reorganized complex technical information into question-driven, AI-readable content and set up new analytics tracking. The resulting B2B software GEO case study reports increased AI citations, an 82% rise in LLM-driven traffic, and a 6% conversion rate from that traffic.

What Is Agentic SEO?

Agentic SEO is the newest and least standardized of the three terms. Today it’s used in two distinct ways.

1. SEO Performed by AI Agents

An autonomous or semi-autonomous system researches queries, analyzes competing pages, identifies content gaps, drafts briefs, recommends changes, and monitors results — with human experts setting goals, controls, and approval points. (See Nowspeed’s explanation of how autonomous SEO agents work for a B2B-specific look at this.)

2. Optimization for AI Agents Acting on Behalf of Buyers

An AI agent may research a problem, compare vendors, verify specifications, assemble a shortlist, or complete a form on a buyer’s behalf. The brand must make its information and workflows understandable, dependable, and actionable to that agent.

This emerging discipline may require:

• Machine-readable product, service, pricing, and availability data
• Clear documentation of integrations, security, compliance, and service levels
• Consistent organizational and product identities across every channel
• Semantic, accessible website interfaces
• Stable forms and workflows with unambiguous labels
• APIs, feeds, or protocols through which authorized agents can interact
• Appropriate authentication, permissions, privacy protections, and human confirmation steps

Example: A procurement agent is tasked with finding software that supports a specific enterprise system, meets SOC 2 requirements, fits a budget, and offers North American implementation support. Thought leadership builds authority, but the agent still needs current, structured, verifiable data to actually evaluate the vendor.

Agentic SEO adds a new optimization target: the actionable business system.

AEO vs. GEO vs. Agentic SEO: Side-by-Side Comparison

The boundaries aren’t absolute. A well-designed B2B resource can support all three at once: clear definitions help answer engines, original evidence and topical depth help generative systems, and structured data with accessible interfaces help agents. The difference is the immediate objective — not three separate content strategies.

How Do AEO, GEO, and Agentic SEO Relate to Traditional SEO?

None of these disciplines replaces SEO. Crawlability, indexation, site architecture, page performance, helpful content, relevant links, and demonstrated authority remain the foundation.

Think of it as a chain of questions, each layer building on the one before it:

• SEO: Can the content be discovered and ranked?
• AEO: Can the right answer be extracted?
• GEO: Will the brand inform or appear in the generated response?
• Agentic SEO: Can an authorized system reliably evaluate the business and complete the next step?

Weak fundamentals undermine every layer above them. If important content can’t be crawled, if product information contradicts itself, or if expertise is unsupported, neither search engines nor AI systems have a dependable foundation on which to represent the company.

What Should B2B Marketers Prioritize?

B2B marketing teams don’t need three disconnected optimization programs — they need one integrated roadmap that reflects how buyers move from search, to AI-assisted research, to delegated action.

Start with these six priorities:

1. Protect the SEO foundation. Resolve crawling, indexing, architecture, performance, and content-quality issues.
2. Improve answer readiness. Identify real buyer questions and provide direct answers backed by deeper explanations.
3. Build defensible authority. Publish expert-led insights, original data, case studies, and evidence other credible sources can validate.
4. Clarify entities and facts. Use consistent names and descriptions for the company, products, executives, locations, capabilities, and market category.
5. Expand measurement. Track traditional search performance alongside AI mentions, citations, referral traffic, assisted conversions, and pipeline impact.
6. Prepare for agent interactions. Audit whether an agent can understand key pages, interpret requirements, navigate forms, and complete authorized actions without ambiguity.

Avoid chasing speculative hacks or publishing hundreds of thin pages targeting minor prompt variations. Sustainable visibility comes from providing unique value, presenting it clearly, and making every claim easy to verify.

Ready to explore this for your own site? Nowspeed’s generative engine optimization services combine AI content analysis, buyer-question mapping, business-authority assessment, optimization, and ongoing visibility measurement.

One Strategy, Three Layers of AI Visibility

AEO, GEO, and agentic SEO describe successive layers in the evolution of digital discovery:

• AEO helps a business supply the best answer.
• GEO helps it become a trusted source and recommendation.
• Agentic SEO prepares its data and digital experience for systems that can act on a buyer’s behalf.

The terminology will keep evolving, but the strategic requirement is already clear: B2B companies must make their expertise discoverable, understandable, authoritative, and actionable. Those that do will be better positioned whether the next customer begins with a Google search, asks an AI assistant, or delegates the entire research process to an agent.

For More Information

• Optimizing Your Website for Generative AI Features on Google Search — Google’s guidance on AEO, GEO, AI search visibility, technical readiness, and measurement (external — link needs to be added)
• GEO: Generative Engine Optimization — The original academic paper formalizing GEO and proposing new ways to measure visibility in generated responses (external — link needs to be added)
• What Is Agentic Search Optimization? A Complete Guide for B2B Marketers — A practical introduction to agentic SEO for B2B teams
• Agentic SEO vs. Traditional SEO: What B2B Marketers Need to Know — How agentic SEO builds on and differs from traditional SEO practice

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About the Author: David Reske is the founder and CEO of Nowspeed, a digital marketing agency that helps B2B organizations turn marketing investments into measurable pipeline and revenue. For more than 20 years, David has helped companies develop integrated strategies spanning PPC, SEO, content, digital advertising, and emerging AI-driven search. He also hosts Nowspeed’s Marketing in the Now podcast, where he speaks with founders, CEOs, and marketing leaders about business growth, marketing, and leadership.