{"id":2418,"date":"2026-05-22T10:06:33","date_gmt":"2026-05-22T10:06:33","guid":{"rendered":"https:\/\/www.robertjuliansmith.com\/blog\/aeo-seo-isnt-dead-but-the-rules-of-visibility-have-changed\/"},"modified":"2026-05-27T13:17:08","modified_gmt":"2026-05-27T13:17:08","slug":"aeo-seo-isnt-dead-but-the-rules-of-visibility-have-changed","status":"publish","type":"post","link":"https:\/\/www.robertjuliansmith.com\/en\/blog\/aeo-seo-isnt-dead-but-the-rules-of-visibility-have-changed\/","title":{"rendered":"AEO: SEO Isn\u2019t Dead, but the Rules of Visibility Have Changed"},"content":{"rendered":"

TLDR<\/p>\n

TLDR <\/b>People no longer search only on Google: they ask ChatGPT, Gemini, and Perplexity. AEO, Answer Engine Optimization, is the work of making a company understandable and citable by these systems. It does not replace SEO; it is the new layer of visibility. This article covers what the data says, what actually works, and what is just vendor marketing.<\/span><\/p>\n

Introduction<\/b><\/h2>\n

When you ask a new customer how they found you, one answer is becoming more and more common: ChatGPT suggested you. For twenty years, marketers had a single question, how to reach the first page of Google. That question has not disappeared, but on its own it is no longer enough.<\/span><\/p>\n

People no longer search with just two or three words. They open ChatGPT, Gemini, Perplexity, or Copilot and describe a whole situation, expecting an answer, a comparison, sometimes a direct recommendation. This changes what visibility means. For years it meant appearing in a list of links; now it means being the content that an AI system reads, interprets, and decides to cite or mention.<\/span><\/p>\n

Saying SEO is dead is wrong: Google remains dominant. But any B2B company that has never checked what ChatGPT or Gemini say about it is already behind. The right question is not SEO versus AEO. It is this: is AEO the next technical phase of SEO, or a broader visibility strategy for a buying journey that now also runs through AI? This article argues for the second answer.<\/span><\/p>\n

What Is AEO?<\/b><\/h2>\n

AEO, Answer Engine Optimization, is the set of choices that make a company understandable and extractable by the systems that generate answers. A cluster of related acronyms has grown around the shift, and they are worth separating.<\/span><\/p>\n

AEO. <\/b>The structural layer: how content is formatted, with question-based headings, FAQ sections, structured data, and short paragraphs.<\/span><\/p>\n

GEO. <\/b>Generative Engine Optimization, the academic term, from a <\/span>study by Princeton University researchers<\/span><\/a>: depth, authority, and density of data, so the model trusts the content, not only reads it.<\/span><\/p>\n

LLMO. <\/b>Large Language Model Optimization, the entity-focused approach: how a model categorizes a brand and which market it associates with it.<\/span><\/p>\n

AI visibility. <\/b>Not a discipline but the metric: how often, and with what sentiment, a brand is cited, mentioned, and recommended.<\/span><\/p>\n

For an SME the distinction matters little: these are different layers of the same shift, and they work together. This article uses AEO as the umbrella term.<\/span><\/p>\n

Why Does AEO Matter Now?<\/b><\/h2>\n

The urgency does not come from vendor marketing, but from measurable shifts.<\/span><\/p>\n

Zero-click search. <\/b>The <\/span>SparkToro study<\/span><\/a> of 2024 data finds that 58.5% of Google searches in the US and 59.7% in the EU end without a click to an external site. Solid, independent data, but it covers only Google, only the US and Europe, and counts traffic to Google-owned properties as a non-click.<\/span><\/p>\n

Google AI Overviews. <\/b>Ahrefs\u2019 <\/span>analysis of 300,000 keywords<\/span><\/a> links the presence of an AI Overview to a 58% drop in clicks for the top-ranking page, in line with other studies showing declines between 45% and 65%. This is a correlation, and Ahrefs is an SEO vendor.<\/span><\/p>\n

AI platform adoption. <\/b>Figures on user numbers and growth should be treated with caution: aggregator sources, opaque methods. The direction is credible, the precise numbers far less so.<\/span><\/p>\n

B2B buying behavior. <\/b>A <\/span>Gartner survey<\/span><\/a> of 645 buyers (Aug-Sep 2025) finds that 67% prefer to buy without a sales rep and 45% used AI during a recent purchase. The same survey adds a figure that reframes the picture: <\/span>69% turn back to sales reps<\/span><\/a> to validate AI-generated insights. If AI describes you poorly or does not name you, you lose the research phase, but validation stays human.<\/span><\/p>\n

In short: traditional search has not been replaced, but a growing share of discovery now happens inside AI answers, with very uneven exposure across sectors.<\/span><\/p>\n

Is SEO Dead?<\/b><\/h2>\n

No. But it helps to distinguish five ways a company can be visible today: classic ranking on Google, a cited link inside an AI answer, an unlinked mention, a recommendation in a comparison, and use as the source of a fact. Traditional SEO mostly optimized the first; AEO works on all five. The table summarizes the operational differences.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Dimension<\/b><\/th>\nTraditional SEO<\/b><\/th>\nAEO \/ AI visibility<\/b><\/th>\nStrategic implication<\/b><\/th>\n<\/tr>\n<\/thead>\n
Query type<\/span><\/td>\nShort keywords, 2-4 terms<\/span><\/td>\nComplete, contextual questions, often 7 or more words<\/span><\/td>\nMap buyers\u2019 real questions, not just search volumes<\/span><\/td>\n<\/tr>\n
Ranking signal<\/span><\/td>\nBacklinks and domain authority<\/span><\/td>\nEntity clarity, data density, structured data, external consensus<\/span><\/td>\nAuthority is built with proof and consistency, not links alone<\/span><\/td>\n<\/tr>\n
Content format<\/span><\/td>\nLong narrative text, to keep the reader on page<\/span><\/td>\nModular blocks, short fact-first paragraphs, lists and tables<\/span><\/td>\nContent must be made easy for a machine to extract<\/span><\/td>\n<\/tr>\n
Measurement<\/span><\/td>\nPosition, impressions, organic traffic<\/span><\/td>\nCitation frequency, share of voice, sentiment, mentions<\/span><\/td>\nNew tools are needed, and you measure a trend, not a fixed number<\/span><\/td>\n<\/tr>\n
Conversion path<\/span><\/td>\nClick to the site, then navigation<\/span><\/td>\nSometimes no click: the decision forms inside the AI answer<\/span><\/td>\nThe key message must be clear in the source, not only on the site<\/span><\/td>\n<\/tr>\n
Trust signal<\/span><\/td>\nQuantity and quality of inbound links<\/span><\/td>\nSource citations, proprietary statistics, schema, third-party reviews<\/span><\/td>\nTrust becomes a mosaic of distributed proof, not one indicator<\/span><\/td>\n<\/tr>\n
User journey<\/span><\/td>\nThe user compares links and synthesizes alone<\/span><\/td>\nThe AI synthesizes sources and delivers a single answer<\/span><\/td>\nYou lose control over the order in which information is presented<\/span><\/td>\n<\/tr>\n
Competitive set<\/span><\/td>\nSites ranking on the same keyword<\/span><\/td>\nThe brands the AI places next to you in a comparison<\/span><\/td>\nThe model picks your competitors, and they may not be the expected ones<\/span><\/td>\n<\/tr>\n
Content refresh cycle<\/span><\/td>\nPeriodic update, useful but not urgent<\/span><\/td>\nFrequent update: freshness weighs in source selection<\/span><\/td>\nYou need a continuous update process, not an annual review<\/span><\/td>\n<\/tr>\n
Role of brand or entity<\/span><\/td>\nImportant but secondary to keywords<\/span><\/td>\nCentral: the AI must understand who you are before recommending you<\/span><\/td>\nCompany identity becomes a technical asset, not just branding<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The logic shifts: in SEO a backlink is a vote of confidence; in AEO what matters more is whatever reduces risk for the model, a verifiable statistic or valid schema. Backlinks do not become useless, but the center of gravity moves.<\/span><\/p>\n

What HubSpot Gets Right, and How Well It Holds Up<\/b><\/h2>\n

One source for this article is the transcript of a HubSpot talk by Asia Frost. Useful material, but not neutral: in the same talk HubSpot launches its own monitoring software. Its seven ideas, in brief.<\/span><\/p>\n

    \n
  1. The blog is not dead. <\/b>Supported: AI heavily cites structured content. But the 62.1% citation share HubSpot reports is proprietary data; other analyses put it at 45-63%.<\/span><\/li>\n
  2. From keywords to context. <\/b>Supported: queries are getting longer, and long queries trigger an AI Overview more often. The 350-word average conversation figure has no clear source.<\/span><\/li>\n
  3. Structure matters. <\/b>Plausible, but this is correlation, not cause. Schema markup rests on solid ground; other claims, such as having more than 20 external links, are fragile.<\/span><\/li>\n
  4. Freshness matters. <\/b>Supported: content cited by AI is on average more recent. Updating prices and products pays off, as long as you update the data and not just the date.<\/span><\/li>\n
  5. Backlinks do not predict AI visibility. <\/b>Plausible but to be handled with care: one example is not proof, and links alone are no longer enough, without being useless either.<\/span><\/li>\n
  6. AI looks for consensus on LinkedIn, Reddit, and YouTube. <\/b>Supported, but different models cite different sources: optimizing for an average AI is a mistake.<\/span><\/li>\n
  7. AI results are volatile. <\/b>Plausible, but with a conflict of interest: extreme volatility sells monitoring tools, and HubSpot has just launched one.<\/span><\/li>\n<\/ol>\n

    In brief: HubSpot captures the mechanics of AEO, but stays quiet on the downside, namely difficult measurement, legal risk, and partisan data.<\/span><\/p>\n

    What Companies Get Wrong About AEO<\/b><\/h2>\n

    The most frequent mistakes, before the recommendations:<\/span><\/p>\n