--- language: en title: "What Is AEO (Answer Engine Optimization)? Complete Guide" description: "Learn what AEO is, how to structure direct answers, review technical access and sources, and measure mentions, citations, and business results without relying only on clicks." canonical: "https://tropk.ai/en/blog/what-is-aeo-answer-engine-optimization-the-complete-guide" last_modified: "2026-10-12T16:05:32.675Z" --- # What Is AEO (Answer Engine Optimization)? Complete Guide Learn what AEO is, how to structure direct answers, review technical access and sources, and measure mentions, citations, and business results without relying on clicks alone. [Luiz Gardelin]() Published on 2026-04-08T17:33:23.000Z Categorias: GEO/AEO [AEO](/en/resources/glossary/aeo) ([Answer Engine Optimization](/en/blog/what-is-aeo-answer-engine-optimization-the-complete-guide)) is the practice of optimizing content so it can be selected as a direct answer by AI-powered answer engines such as [ChatGPT](/en/resources/glossary/chatgpt), [Gemini](/en/resources/glossary/gemini), [Perplexity](/en/resources/glossary/perplexity), Alexa, and Siri. [zero-click](/en/resources/glossary/zero-click-search) searches were already relevant before AI summaries: the [2024 SparkToro and Datos study](https://sparktoro.com/blog/2024-zero-click-search-study-for-every-1000-us-google-searches-only-374-clicks-go-to-the-open-web-in-the-eu-its-360/) found that nearly 60% of searches in its US panel resulted in no click. The [Pew Research Center, in July 2025](https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/), found clicks on traditional results in 8% of visits with an AI summary, compared with 15% without one, in a sample of 900 US adults. This observational difference does not prove a causal reduction across all websites. In the [Seer Interactive study](https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update), brands cited in [AI Overviews](/en/resources/glossary/ai-overviews) had 35% higher organic CTR than brands not cited in the third quarter of 2025; this comparison does not guarantee traffic growth. This new reality creates an unprecedented paradigm for digital marketers, where optimization is no longer limited to reaching the top positions in traditional search engines. Now, standing out as the direct answer on AI platforms can be even more valuable. For those looking to explore this new frontier, understanding the nuances of AEO is essential. If you’re interested in a broader view of [generative AI](/en/resources/glossary/generative-ai) optimization, we recommend reading our [complete guide to GEO](/en/blog/what-is-geo-generative-engine-optimization-complete-2026-guide). ## Key points - AEO aims to provide clear, accessible answers in search engines and assistants, without guaranteeing that a brand will be selected. - Self-contained answers, defined terms, and verifiable evidence help resolve specific audience questions. - Structured data describes visible content; FAQPage does not guarantee a snippet or AI citation. - Search and training use separate controls: OAI-SearchBot and Googlebot serve different purposes from GPTBot and Google-Extended. - Measure answers, sources, identified traffic, and conversions separately, with documented samples and periods. ## What Is AEO (Answer Engine Optimization) AEO is an optimization discipline that aims to increase the chances of content, a brand, or an [entity](/en/resources/glossary/entity) being featured in a direct answer by answer engines and [AI assistants](/en/resources/glossary/ai-assistant). This practice has become relevant as AI platforms such as ChatGPT, Gemini, and others have grown in popularity. One of the first people to define and popularize the concept of AEO was [Jason Barnard, CEO of Kalicube](https://kalicube.com/learning-spaces/faq-list/generative-ai/aio-geo-llmo-aeo-the-industry-keeps-renaming-the-methodology-jason-barnard-coined-in-2017/), who identified the growing importance of optimizing not just to be found, but to be selected as the answer. The adoption of assistants such as ChatGPT expands the places where people search for and compare information. The [forecast published by Gartner in 2024](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-volume-will-drop-25-percent-by-2026) projected a possible 25% decline in traditional search volume by 2026 as AI alternatives were adopted. This was a projection, not a measurement showing that 25% of searches were already happening in chatbots. The main difference between AEO and [SEO](/en/blog/what-is-seo-search-engine-optimization-the-complete-guide) lies in their focus. While [SEO](/en/resources/glossary/seo) aims to improve rankings on traditional search results pages, AEO focuses on being the direct answer provided by AI engines. This means that rather than optimizing only for keywords and [backlinks](/en/resources/glossary/backlink), it is essential to structure and present information so that AI systems can easily interpret and select it. ### AEO as a subset of GEO The [Similarweb defines AEO as the “answer-oriented subset of GEO”](https://www.similarweb.com/blog/marketing/geo/answer-engine-optimization/). [GEO](/en/resources/glossary/geo), or [Generative Engine](/en/resources/glossary/generative-engine) Optimization, covers overall visibility on AI platforms, while AEO focuses specifically on being the direct answer. This is a market classification, not a universal taxonomy: GEO addresses overall presence in AI environments, while AEO focuses more deeply on optimizing to be the preferred answer to specific queries. For example, a company can use GEO to pursue visibility across multiple AI platforms. However, when answering a direct question about a specific product, AEO helps organize a useful, clear, and accessible explanation, without guaranteeing that the system will select the company. The two strategies are therefore complementary, but each has its own specific goal and practical application. ### The evolution: from featured snippets to AI answers The way people search for information online has evolved significantly. Initially, the goal was simply to appear among the ten blue links on Google’s first page. Over time, featured snippets emerged to provide quick answers directly on the results page. Today, the trend has advanced further, with AI assistants providing complete answers. In Brazil, the adoption of voice assistants grew from [18% to 39%, according to ILUMEO](https://ilumeo.com.br/marketing/estudo-assistentes-de-voz-e-oportunidades-para-marcas-2025/), showing that users are increasingly comfortable interacting with these systems. This historical progression means content strategies need to adapt continuously to remain relevant and effective. Brands that fail to keep up risk losing visibility and relevance in new search formats. ## Why AEO is urgent now: the numbers ### The zero-click era In the US panel analyzed by [SparkToro and Datos in 2024](https://sparktoro.com/blog/2024-zero-click-search-study-for-every-1000-us-google-searches-only-374-clicks-go-to-the-open-web-in-the-eu-its-360/), nearly 60% of searches ended without a click on a result. The proportion depends on the country, device, sample, and definition of a click. The study does not provide a universal rate for AEO queries or specifically measure the Brazilian market. This shift has a significant impact on businesses. With fewer clicks, there are fewer opportunities to engage directly with consumers through their websites. The observed difference between visits with an AI summary (8% click-through rate on traditional results) and without one (15%), in the [Pew Research](https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/) study, highlights the importance of appearing in direct answers provided by AI. In addition, the [2024 Gartner](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-volume-will-drop-25-percent-by-2026) projection of declining traditional search volume as AI adoption grows underscores the urgency of adapting to this new reality. ### The impact on CTR AEO’s impact on CTR is notable. In the [Seer Interactive sample](https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update), the organic CTR for informational queries with AI Overviews fell 61% between June 2024 and September 2025. In a separate comparison of groups in the third quarter of 2025, cited brands had 35% higher organic CTR and 91% higher paid CTR than brands not cited. These percentages do not measure a universal AEO effect or guarantee growth. A [citation](/en/resources/glossary/ai-citation) makes a source visible and can provide a path to its website. The association with CTR observed by Seer does not, on its own, show how each user interprets the brand or whether the citation caused the click. Review results by query and intent before extrapolating to your own business. ### AI traffic converts more In some studies and businesses, traffic from AI has shown higher conversion rates. This is not a guaranteed property of the channel. The article by [Avinash Kaushik](https://www.kaushik.net/avinash/aeo-answer-engine-analytics-reports-kpis-metrics/) and the [Semrush study](https://www.semrush.com/blog/ai-search-seo-traffic-study/) discuss conversions from [AI traffic](/en/resources/glossary/ai-referral-traffic). The figures of 16%, 1.8%, and 4.4 times cited in different analyses should not be combined as if they were the same comparison. Each figure should be accompanied by its rate, time period, conversion event, and sample. One possible explanation for higher conversion in certain segments is visitors’ qualified intent. People who ask ChatGPT or Perplexity are looking for specific, direct answers. A useful answer can help someone who is already considering a decision, but the traffic source does not determine conversion. In the case described by [Ahrefs](https://ahrefs.com/blog/ai-traffic-study/), AI traffic accounted for 0.5% of visits and 12% of the company’s sign-ups. This relationship is not a forecast for other websites. For a detailed analysis, see [AI traffic conversion rate](/en/resources/glossary/ai-traffic-conversion-rate) by industry. ## AEO vs. SEO vs. GEO: the real differences ### Comparison table | Criterion | SEO | GEO | AEO | | --- | --- | --- | --- | | Goal | Search engine rankings | Visibility in generative AI | Be the direct answer | | Result | Blue link | Citation in an answer | Direct/only answer | | Primary metric | SERP position | AI share of voice | Citation rate | | User interaction | Click on the link | Reading the AI answer | Zero-click | | Target platforms | Google, Bing | ChatGPT, Gemini, Perplexity | Alexa, Siri, assistants | | Useful practices | Relevant content, links, and technical access | Clarity, sources, and verifiable information | Direct and accessible answers | | Dynamics | Stable and well documented | Emerging and rapidly evolving | Urgent and relatively unexplored | SEO aims to improve organic presence in traditional search engines through a combination of relevant content, links, technical access, and page experience. Commercial [domain authority](/en/resources/glossary/domain-authority) metrics are not official Google ranking factors. GEO, in turn, aims to increase visibility on generative AI platforms, measuring [AI share of voice](/en/resources/glossary/ai-share-of-voice), which refers to how often a brand is mentioned compared with its competitors. AEO focuses on being the direct answer, measuring [citation rate](/en/resources/glossary/citation-rate)—that is, how often the analyzed answers include a reference to the brand or content, according to a documented counting rule. While SEO is based on users clicking links, GEO involves reading AI-generated answers, and AEO focuses on zero-click interaction, where users consume the answer immediately. The target platforms also differ: SEO focuses on search engines such as Google and Bing, GEO on AI assistants such as ChatGPT and Gemini, and AEO on voice assistants such as Alexa and Siri. Their dynamics also vary: SEO is stable and well documented, while [GEO and AEO](/en/resources/geo-and-aeo-guide) are evolving rapidly and remain relatively unexplored. ### AEO does not replace SEO Although AEO and SEO have different goals, neither replaces the other. In the [AirOps sample on retrieval in ChatGPT](https://www.airops.com/report/influence-of-retrieval-fanout-and-google-serps-in-chatgpt), pages in the top Google position were cited 3.5 times more often than pages outside the top 20. This association applies to that specific sample and does not show that ranking causes citations or that pages in other positions are ineligible. This indicates that good SEO can strengthen an AEO strategy. [Forrester](https://www.forrester.com/report/genai-forever-changes-all-forms-of-search/RES182189) recommends integrating both approaches to maximize visibility and impact. Building a strong presence in traditional search engines is still essential, as it provides a foundation for being recognized by AI platforms as well. ### AEO vs. GEO: what each covers The position of [Similarweb](https://www.similarweb.com/blog/marketing/geo/answer-engine-optimization/) is clear: AEO is a subset of GEO, with a specific focus on direct answers. While GEO seeks to increase overall visibility across AI platforms, covering a wide range of interactions and mentions, AEO organizes content to answer a direct question clearly and make it easier to understand and retrieve. This distinction is essential for companies seeking to strengthen their presence in AI environments and provide relevant, verifiable information—without controlling which answer is generated or which source is selected. ## How answer engines decide whom to cite ### Jason Barnard's Algorithmic Trinity Jason Barnard, CEO of Kalicube, describes the “Algorithmic Trinity” as a strategic model comprising the [Knowledge Graph](/en/resources/glossary/knowledge-graph), Large Language Models (LLMs), and Web Index. The framework helps discuss entity recognition, text generation, and source [retrieval](/en/resources/glossary/information-retrieval); it does not describe a universally confirmed architecture officially adopted by all engines. 1. **Knowledge Graph**: It serves as a structured database that stores information about entities and their relationships. This allows answer engines to understand the context and relevance of different topics and sources. As a result, they can cite sources recognized as relevant to the query. 2. **LLMs (Large Language Models)**: These models are responsible for generating contextually appropriate text responses. They use a vast training dataset to predict which information is most relevant and reliable based on the user's query. 3. **Web Index**: A web index contains some of the pages that a service has been able to discover and process. Querying it may provide supplementary information, but does not guarantee coverage of the entire web, up-to-date information, or an accurate response. Kalicube presents this model as part of its methodology and research. The amount of data cited by the company does not amount to independent validation of the internal algorithms of all assistants. ### The NEEATT framework NEEATT is a strategic framework associated with Kalicube for evaluating signals from a source. It is not an official specification or a set of criteria confirmed by all AI engines. It focuses on six main criteria: 1. **Notability**: The source should be publicly recognized by both its industry and the media. Public recognition is an indicator that the information provided is valuable and reliable. 2. **Experience**: This refers to practical experience in the subject at hand. Sources that demonstrate practical experience are more likely to be cited because they offer insights based on real-world experience. 3. **Expertise**: The source should have deep technical knowledge of the topic. Expertise is demonstrated through credentials, publications, and other indicators of specialized knowledge. 4. **Authoritativeness**: The source should be a recognized reference in its industry. This can be demonstrated through frequent citations by other reputable sources or recognition by well-known organizations. 5. **Trustworthiness**: The information should inspire confidence and be supported by verifiable data. This helps assess the accuracy and reliability of cited information. 6. **Transparency**: The source should be open about its identity, methods, and information sources. Transparency helps build trust and credibility. For more details on how each [LLM](/en/resources/glossary/llm) decides what to cite, see our article on how each LLM decides what to cite. ### The Kalicube Process: 3 phases The Kalicube Process consists of three phases for optimizing brand visibility in answer engines. 1. **Understandability**: The brand or entity needs to be understood by algorithms. This involves creating content that is easy to index and clearly highlights the brand's identity and purpose. One practical example would be optimizing website content so algorithms can easily understand its structure and main topics. 2. **Credibility**: The brand needs to be perceived as trustworthy by independent sources. This can be achieved through mentions on reputable news sites, citations in academic articles, or recognition by industry organizations. 3. **Deliverability**: Content needs to be accessible and optimized for delivery as an answer. This involves keeping important information in accessible text and using a clear structure. [Structured data](/en/resources/glossary/structured-data) can describe relevant content, as in [schema markup](/en/blog/schema-markup-for-ai-visibility-the-7-types-that-matter-and-how-to-implement-each). ## Practical AEO strategies ### Structured data and Schema Markup Structured data and [schema markup](/en/resources/glossary/schema-org) can describe content, but they are not universal requirements for answer engines. [Google does not require special schema for AI Overviews or AI Mode](https://developers.google.com/search/docs/appearance/ai-features). Each type has a specific purpose: - **FAQPage**: Describes frequently asked questions and answers visible on the page using the [Schema.org](https://schema.org/FAQPage) vocabulary. It does not guarantee a [featured snippet](/en/resources/glossary/featured-snippet), voice reading, or citation. [Google ended FAQ rich results in May 2026](https://developers.google.com/search/updates#deprecating-the-faq-rich-result-feature). - **HowTo**: Describes step-by-step instructions when such content exists on the page. Using this type does not guarantee special presentation or reproduction by assistants. - **Article**: Provides article metadata, such as author, date, and publisher, helping answer engines understand the context and origin of the information. - **Speakable**: Identifies passages suitable for text-to-speech. The availability of a feature that uses this markup varies by service, language, and context; it is not a universal AEO requirement. - **Organization**: Describes an organization's data in a structured format; this markup does not guarantee inclusion in a Knowledge Graph. - **Person**: Provides data about authors and experts, which is used to reinforce the credibility and authority of the content. ### Entity optimization and Knowledge Graph Building a recognizable identity in the context of AEO involves consistent information about the organization and verifiable sources. Public profiles and entity databases can contribute when relevant; they are not universal requirements. When relevant to the business and eligibility rules, consider keeping information accurate on [Wikidata](https://www.wikidata.org/), [Google Business Profile](https://www.google.com/business/), [Crunchbase](https://www.crunchbase.com/) and [LinkedIn](https://www.linkedin.com/). Consistency across profiles and sources helps people and systems identify the entity. None of these platforms is a universal requirement or a guarantee of citation. ### Content structure for AI extraction The [GEO paper presented at KDD 2024](https://arxiv.org/abs/2311.09735) found visibility gains of up to 40% in the experimental setting. Results varied by metric, method, and domain and are not a forecast for current engines or any specific website. Three techniques evaluated were: 1. **Statistics**: Adding verifiable statistics produced gains in the benchmark. Numbers should clarify the answer and include a source, period, and context; adding statistics does not guarantee a percentage increase. 2. **Citations**: Citing verifiable sources makes it possible to check the evidence. The benchmark found gains with this technique, but it does not guarantee selection by an assistant. 3. **Quotations**: Including quotes from experts or authorities on the topic may increase the perceived authority of the content. ### Minimizing technical barriers To make content easier for answer engines to access, reduce technical barriers and check which pages crawlers can read. This includes avoiding excessive use of JavaScript, as many AI bots cannot render it properly. Also, optimize the site for [Core Web Vitals](/en/resources/glossary/core-web-vitals) and configure [robots.txt](/en/blog/robots-txt-for-ai-which-bots-to-allow-and-how-to-configure-it) and infrastructure according to each bot's purpose. For ChatGPT search, [OpenAI identifies OAI-SearchBot](https://developers.openai.com/api/docs/bots); [GPTBot](/en/resources/glossary/gptbot) is associated with training. For Google Search, access is controlled by [Googlebot](/en/resources/glossary/googlebot). [Google-Extended relates to other AI uses](https://developers.google.com/search/docs/appearance/ai-features), not inclusion in AI Overviews or [AI Mode](/en/resources/glossary/ai-mode). ## Metrics and KPIs for measuring AEO ### Traditional metrics are not enough A study by [NerdWallet](https://investors.nerdwallet.com/news-releases/news-release-details/nerdwallet-reports-fourth-quarter-and-full-year-2024-results) reported revenue of US$183.8 million in the fourth quarter of 2024, up 37% year over year, while average monthly unique users fell by 20%. The company attributed its performance to demand in insurance and results in banking. The report shows that revenue and audience can follow different trajectories, but does not demonstrate that AEO or AI traffic caused this growth. Raw traffic is no longer the definitive measure of success, as the quality and relevance of visits are now the main performance indicators. ### What to measure To assess AEO success, it is important to focus on specific metrics: 1. **Citation frequency**: Track how often AI engines cite the brand weekly or monthly. 2. **AI share of voice**: Calculate the brand's share of appearances among all appearances by eligible brands in the same sample. The percentage of responses that mention the brand is its mention rate; document both denominators separately. 3. **Featured snippet rate**: Identify the percentage of target queries for which you earned the snippet. 4. **Google Search Performance**: AI Overviews and AI Mode are included in [Search Console](/en/resources/glossary/google-search-console)’s Web report. The aggregated report does not provide a complete CTR breakdown by AI citation; document this limitation. 5. **Conversion rate by channel**: Compare conversion rates segmented by AI, organic, and paid channels. Tropk.ai brings together questions, answers, and sources to analyze brand presence in AI and guide content audits. [Explore the platform](/en) and confirm the environments, data collection conditions, and commercial scope appropriate for your operation. ## AEO in Brazil: The context that matters ### AI adoption in Brazil Brazil appears in analyses of AI assistant adoption and traffic, but metrics for visits, users, and brand awareness are not equivalent. The figures below are snapshots cited in the original April 2026 edition, not current measurements of the entire AI market. In addition, there are [310.67 million monthly visits to ChatGPT from Brazil](https://tiinside.com.br/13/11/2025/chatgpt-direciona-mais-de-6-milhoes-de-visitas-a-e-commerces-no-brasil/). Voice search also grew significantly, rising from [18% to 39%](https://ilumeo.com.br/marketing/estudo-assistentes-de-voz-e-oportunidades-para-marcas-2025/). These figures indicate growing acceptance and use of AI in the country, highlighting the importance of optimizing for these channels. ### The optimization gap in Brazil Despite the potential, a significant optimization gap remains in Brazil. Identify actual gaps before claiming competitors are underprepared. Check responses in Portuguese, suitability for the Brazilian market, and pages that fail to explain important details of the offering. Prioritize verifiable information and audience needs; starting early alone does not guarantee an advantage. ## Cases and evidence ### NerdWallet In its [official fourth-quarter 2024 report](https://investors.nerdwallet.com/news-releases/news-release-details/nerdwallet-reports-fourth-quarter-and-full-year-2024-results), NerdWallet reported revenue of US$183.8 million, up 37%, and 20% fewer average monthly unique users. The company highlighted demand in insurance and banking performance; the report does not attribute growth to AI citations. The case illustrates the need to track revenue and audience separately. ### Seer Interactive The [Seer Interactive](https://www.seerinteractive.com/insights/ctr-aio) observed a decline in CTR for informational queries with AI Overviews over the period and higher CTR for cited brands in a comparison between groups. These are distinct measures; the association can inform an investigation into presence and performance, without guaranteeing traffic will be maintained or increase. ### The Princeton paper The [GEO paper](https://arxiv.org/html/2311.09735v3) found gains of up to 40% in its experimental setting. Statistics Addition, Cite Sources, and Quotation Addition had relative gains of about 30% to 40% on the [position-adjusted word count](/en/resources/glossary/position-adjusted-word-count) metric. Results varied by domain and metric; they do not represent a guaranteed effect on current platforms. ### Ahrefs and Semrush In the case of [Ahrefs](https://ahrefs.com/blog/ai-traffic-study/) itself, AI visits accounted for 0.5% of traffic and 12% of sign-ups. [Semrush](https://www.semrush.com/blog/ai-search-seo-traffic-study/) reported a 4.4x conversion rate in its research sample. Different samples and events should not be combined; the results support measuring traffic quality in your own operation, without predicting the same conversion rate. ## Sources for further reading - [What is AEO (Answer Engine Optimization): The Complete Guide]() - [AI Features and Your Website | Google Search Central | Documentation | Google for Developers]() - [Latest Google Search Documentation Updates | Google Search Central | What's new | Google for Developers]() - [FAQPage - Schema.org Type]() - [Overview of OpenAI Crawlers]() - [AIO Impact on Google CTR: September 2025 Update]() - [Do people click on links in Google AI summaries? | Pew Research Center]() - [2024 Zero-Click Search Study: For every 1,000 EU Google Searches, only 374 clicks go to the Open Web. In the US, it’s 360. - SparkToro]() - [GEO: Generative Engine Optimization]() - [NerdWallet Reports Fourth Quarter and Full Year 2024 Results | NerdWallet, Inc]() - [The Influence of Retrieval, Fan-out, and Google SERPs on ChatGPT Citations]() - [Jason Barnard, CEO of Kalicube]() - [forecast published by Gartner in 2024]() - [Similarweb defines AEO as the “answer-oriented subset of GEO”]() - [18% to 39% according to ILUMEO]() - [Avinash Kaushik]() - [Semrush study]() - [Ahrefs]() - [Forrester]() - [Wikidata]() - [Google Business Profile]() - [Crunchbase]() - [LinkedIn]() - [Princeton University]() - [310.67 million monthly visits to ChatGPT from Brazil]() - [Seer Interactive]() ## Frequently asked questions ### What is AEO (Answer Engine Optimization)? AEO, or Answer Engine Optimization, is a set of practices for organizing information to provide direct answers in search engines, voice assistants, and AI services. The work involves real audience questions, clear answers, technical accessibility, and reliable sources. AEO aims to improve content usefulness and selection, but does not guarantee citation or recommendation. ### What is the difference between AEO, SEO, and GEO? SEO aims to improve page discovery and organic visibility. AEO organizes content for direct answers. GEO addresses presence in generative AI responses, including sources, brands, and context. AEO and GEO overlap, and their definitions vary across the market. The three practices can be combined with shared technical and editorial fundamentals. ### How do you structure content for AEO? To structure content for AEO, identify the audience’s question, answer it early, and explain the necessary conditions, limitations, and terms. Use clear subheadings, lists for steps, and tables for comparable criteria. Include authorship and verifiable sources, and check that the text is publicly accessible. FAQs and structured data should reflect real information on the page, without promising selection by an engine. ### Does adding FAQPage guarantee prominence on Google or an AI citation? Adding FAQPage does not guarantee prominence on Google or an AI citation. FAQPage remains a Schema.org type for describing visible questions and answers, but Google ended FAQ rich results in May 2026. Featured snippets and citations depend on selection systems; markup is also not a special requirement for AI Overviews or AI Mode. ### Which bots should be assessed for a site's access to AI search? For ChatGPT search, assess OAI-SearchBot, which OpenAI distinguishes from GPTBot, used for content that may be included in training. ChatGPT-User serves user actions and does not determine inclusion in search. On Google, AI Overviews and AI Mode use Googlebot controls; Google-Extended serves another purpose. Check robots.txt, CDN, and hosting for each service. ### How do you measure AEO results? Measure AEO using documented questions and data collection conditions. Track presence in direct answers, brand mentions, cited sources, and how well facts address the question. Analyze identified visits and conversions by channel separately. AI Overviews and AI Mode are included in Search Console’s Web performance, without a complete CTR breakdown by AI citation. ## About the author [Luiz Gardelin]() Luiz Gardelin is the founder of Tropk.ai and works in GEO/AEO, product vision, strategy, and growth, helping brands understand and improve their presence in AI responses. --- [All pages in Markdown]()