SEO and AEO serve different channels but share common foundations. Learn how they differ, where they overlap, and how to build a strategy that covers both.
Every few years, a new channel emerges and someone declares the death of SEO. Social media was going to kill it. Voice search was going to kill it. Now AI search is going to kill it. SEO has consistently survived these predictions because the fundamentals — producing content that answers user questions, building authority through external recognition, and maintaining technical accessibility — are durable.
What is changing in 2026 is not that SEO is dying, but that it now shares the stage with a new discipline: Answer Engine Optimisation (AEO). Understanding the relationship between the two — where they differ, where they overlap, and how to allocate your resources — is the strategic question every marketing team needs to answer.
SEO is the practice of improving a website's visibility in search engine results pages (SERPs) — primarily Google and Bing. Success is measured in organic rankings, traffic, and conversions from search.
SEO encompasses:
The user journey in SEO: query → SERP → click → landing page → conversion. Traffic passes through your site.
AEO is the practice of structuring content and building brand authority so that AI-powered answer engines — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews — cite or recommend your brand in their generated responses.
AEO encompasses:
The user journey in AEO: query → AI answer → brand mention → branded search or direct visit. Traffic may not pass through your site at all, or only arrives after a brand impression.
SEO targets users who will click a link. AEO targets users who will read an AI answer. These are distinct user behaviours with different implications.
A user who gets their question answered by Perplexity without clicking through did not generate a session in your analytics — but they may have formed a brand impression, been exposed to your name and positioning, and later searched for you directly. AEO generates top-of-funnel brand awareness in a channel that traditional analytics cannot measure.
SEO is measurable in Google Search Console: impressions, clicks, average position, CTR. These are mature, well-understood metrics.
AEO requires different measurement: presence rate (how often your brand appears in AI answers), position score (where in the response you appear), and share of voice (how you compare to competitors in AI answers). These metrics require dedicated tracking tools — traditional analytics do not capture AI-driven brand exposure.
SEO improvements can show ranking movement within weeks (for low-competition queries) to months (for competitive terms). The feedback loop is relatively tight.
AEO changes more slowly. LLMs are retrained periodically, not continuously. Entity signals accumulate over months. Influencing how an LLM represents your brand is more like managing a reputation than managing a keyword — gradual and compounding.
In SEO, you have significant direct control: you can edit your title tags, update your content, fix your technical issues, and see relatively predictable results.
In AEO, you have indirect influence: you can produce content, generate coverage, build entity signals — but you cannot directly instruct ChatGPT to mention you. The influence is real but mediated.
Despite the differences, SEO and AEO share a substantial common foundation. This is important because it means investing in one typically supports the other.
Both disciplines reward high-quality, expert, user-focused content. The content that ranks well in Google tends to be the content that AI systems retrieve and cite — because AI systems are increasingly trained to replicate human quality judgements.
Backlinks and editorial coverage improve both Google rankings and AI training data quality. A site with strong domain authority built through genuine editorial links performs better in both channels.
A technically sound site — fast, crawlable, correctly structured — is better for both Google's crawler and AI crawlers. Core Web Vitals, proper indexing, and clean HTML serve both audiences.
Schema markup helps Google generate rich results and simultaneously provides structured signals that AI systems use to parse and understand content. The same JSON-LD implementation serves both.
Experience, Expertise, Authoritativeness, and Trustworthiness are Google's quality framework — but they map almost exactly to what makes a source trustworthy enough for an AI to cite. Investing in E-E-A-T signals benefits both channels.
While the foundations overlap, AEO requires some distinct investments that SEO alone will not produce:
Entity SEO — Wikidata entries, Wikipedia pages, consistent brand information across directories, knowledge panel optimisation — is primarily an AEO investment. It matters less for traditional keyword rankings than for how AI systems represent your brand.
Configuring robots.txt for AI crawlers (PerplexityBot, ClaudeBot, GPTBot), implementing llms.txt, and ensuring your content is AI-parser-friendly is an AEO-specific technical consideration.
Tracking your presence rate, position score, and share of voice in AI answers requires dedicated tooling that goes beyond Google Search Console. Platforms like Surfaceable exist specifically for this measurement layer.
While quality content serves both channels, AEO specifically rewards direct, structured, question-answering formats — FAQ sections, numbered steps, definition paragraphs — that may not be the primary format choice for traditional SEO content.
For most businesses, the right allocation depends on where your audience currently is in their search journey:
Skew toward SEO if:
Skew toward AEO if:
Balance both if:
Rather than thinking of SEO and AEO as separate programmes, think of them as two channels served by a shared content and authority foundation, with channel-specific tactics layered on top.
The shared foundation: excellent content, strong technical infrastructure, authoritative backlinks, E-E-A-T signals.
SEO-specific layer: keyword targeting, title tag and heading optimisation, SERP feature targeting, Search Console monitoring.
AEO-specific layer: entity building, AI crawler management, AI visibility tracking, structured content formats, third-party coverage for AI training data.
Most of the investment goes into the shared foundation. The channel-specific layers are relatively lightweight additions on top.
SEO and AEO are not competitors — they are complementary disciplines serving different expressions of the same user intent. The brand that invests in both, building a shared foundation of quality content and authority while adding the channel-specific optimisation layers each requires, will be more resilient and more visible than competitors who focus on only one.
In 2026, the question is not "should I do SEO or AEO?" It is "how do I build a programme that serves both well?" The answer starts with the shared fundamentals, then adds the AI-specific layer that most brands have not yet started building. Start that work now.
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