SEO vs AEO: The Difference and Why B2B Companies Need Both

SEO and AEO: A Working Definition

SEO (Search Engine Optimization) is the practice of improving a website's visibility in Google's ranked link results. The core inputs are backlinks, keyword-optimized content, technical crawlability, and page speed. The output is a ranked position in a list of blue links.

AEO (Answer Engine Optimization) is the practice of improving a website's visibility in AI-generated answers from systems like ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. The core inputs are structured data (schema markup), FAQ-formatted content, entity clarity, and E-E-A-T signals. The output is a citation inside a synthesized AI response.

The Key Difference: Rankings vs. Citations

The fundamental difference between SEO and AEO is what success looks like. In SEO, success is a high-ranking position in Google's search results page. In AEO, success is your brand being cited by name inside an AI-generated answer — often without a clickable link at all.

This distinction matters because AI engines don't return a ranked list of links. They synthesize a response from multiple sources and may cite your brand, ignore it, or paraphrase your content without attribution. Optimizing for SEO alone doesn't guarantee you'll appear in these synthesized responses.

Where SEO and AEO Overlap

SEO and AEO are not mutually exclusive — they share significant overlap. Technical SEO (page speed, crawlability, mobile-friendliness) helps both. High-quality content that answers questions clearly helps both. Schema markup helps both — Google uses structured data for rich results, and AI engines use it for entity recognition and retrieval confidence. Internal linking for topical authority helps both.

The most important areas of overlap are technical health and structured data. A site with significant technical SEO issues — broken links, slow load times, blocked crawlers, missing meta tags — will also score poorly on AEO Readiness, because AI crawlers encounter the same barriers as Googlebot.

Where AEO Diverges from SEO

AEO requires additional work that traditional SEO doesn't emphasize. FAQ schema markup (FAQPage JSON-LD) is critical for AEO — it directly structures your content as question-and-answer pairs that AI retrieval systems can extract efficiently. llms.txt helps AI systems understand your content at a site level. Content that provides direct, concise answers to buyer questions (rather than optimized but indirect prose) is favored by retrieval systems. Third-party citations from trusted publications, review platforms, and analyst reports increase AI citation confidence.

Why B2B Companies Need Both in 2025

B2B buyers now use Google and AI tools interchangeably in their research. Early-stage awareness often starts with a Google search. Deeper vendor comparison and shortlisting increasingly happens in ChatGPT or Perplexity, where buyers can ask complex comparison questions and get synthesized answers. Selection-stage research often involves both.

A B2B company that ranks well on Google but isn't cited in AI answers will be invisible during a critical phase of the buying journey — when buyers are narrowing their shortlist. A company that has strong AEO but poor technical SEO will struggle to be indexed and crawled by either traditional or AI systems.

Kennext measures both — 256+ checks covering technical SEO, metadata quality, content quality, AEO Readiness, internal linking, and conversion optimization, plus an AI Share of Voice scan that directly measures how often AI engines cite your brand. The result is a complete picture of your visibility across both traditional and AI search.