The way people search for information online is changing. Potential customers no longer rely only on traditional search engines. They now ask questions directly through platforms such as ChatGPT, Gemini and Perplexity. They request recommendations, compare solutions, search for providers and try to understand which criteria they should consider before making a decision.
Instead of receiving a simple list of links, they get a synthesised answer that may include relevant sources, products and brands. ChatGPT Search includes references to the online sources it uses, Google integrates links into AI-generated answers, while Perplexity builds its responses around cited web sources.
For B2B companies, this shift creates a new challenge: the brand needs to be discovered not only in traditional search results, but also in AI-generated answers. This is where AEO, or Answer Engine Optimisation, comes in.
AEO is the process of developing a brand’s content, authority and digital presence so that it has a greater chance of being identified, cited or mentioned in answers generated by AI-powered engines.
The field is still evolving and may appear under several names, including AI Search Optimisation, Generative Engine Optimisation, LLM Optimisation and AI Visibility Optimisation. HubSpot uses the term AEO for the practices and tools that help companies analyse and improve their presence in AI-generated answers.
AEO does not mean adding a few phrases to an article and waiting for ChatGPT to recommend the brand automatically. AI visibility is influenced by several factors:
AEO is therefore a broad strategy for digital visibility and authority.
SEO primarily focuses on increasing the visibility of pages in search engine results. AEO aims to increase the likelihood that a company’s information and brand will be included in answers synthesised by AI platforms.
In SEO, success may be assessed through rankings, impressions, clicks and organic traffic. In AEO, other relevant criteria also appear:
HubSpot AEO, for example, includes functionality for citation analysis, competitor monitoring and measuring share of voice in AI-generated answers.
The two disciplines are not mutually exclusive. A strong SEO foundation helps content to be discovered, indexed and understood, while AEO extends the strategy towards conversational questions and AI-generated answers.
The B2B buying process involves research, comparisons and validation before a prospect contacts a provider. A decision-maker may ask:
If your brand appears in a relevant answer, it enters the prospect’s consideration set at an early stage of the selection process.
Visibility does not guarantee conversion, but it can contribute to familiarity, trust and authority. When the user later visits the website, the brand is no longer completely unknown.
For B2B companies, AEO can support:
To contribute to commercial results, AI visibility needs to be connected to the marketing strategy. The journey may look like this:
A potential customer asks a question through an AI platform. Your brand is cited or mentioned in the answer. The user opens one of the sources, discovers an article, service page or case study and continues their research on the website. There, they find a relevant call to action, submit a form, request an audit or book a conversation.
For this journey to work, the company needs:
AEO can therefore become an additional source of awareness and demand, integrated with the lead generation strategy.
There is no method that can guarantee a brand will appear in a particular answer. AI platforms use their own models, search systems and criteria, which may change over time.
There are, however, several ways to increase the likelihood that the brand and its content will be discovered and considered relevant.
General articles written only to target a keyword provide less value than resources that fully address a genuine need.
AEO content may include:
Each section should be understandable on its own, without relying on the entire article for context.
The website should explain consistently:
If positioning differs from one page to another, the brand becomes more difficult to associate with a particular category.
AI engines do not rely exclusively on what a brand says about itself. Presence across other relevant sources also matters, including publications, review platforms, partner websites, interviews, studies, communities and external editorial content.
Visibility in answer engines can be influenced by the brand’s presence in the press, reviews, social media and owned content.
Descriptive headings, clearly separated sections, direct answers and consistent terminology help both readers and automated systems understand the content more easily.
Content should avoid long introductions that do not answer the question, vague wording and repetition created only to increase keyword density.
Content about pricing, platforms, functionality, legislation and trends should be reviewed regularly. Outdated information can reduce user trust and the relevance of the material.
AEO begins with the prompts and questions the audience may use. The company should monitor:
Monitoring does not provide an absolute view of every AI-generated answer, as results may vary by platform, context and timing. It can, however, provide useful signals for content prioritisation.
An AEO programme should not begin by publishing a large number of unrelated articles. It is more useful to build topic clusters around the audience’s most important problems and decisions.
Relevant pages may include:
For each topic, the content should connect the user’s question with a possible commercial action without turning the material into an advertisement.
AEO is an emerging discipline, and measurement is not yet as standardised as it is in SEO or paid media. However, a company can track several indicators:
Results need to be analysed in context. A mention does not have the same value for every question. Appearing in an answer that is close to a commercial decision may be more valuable than dozens of mentions in general contexts.
There is no universal timeframe. Initial changes may be observed after content is published, updated and distributed, but building a consistent presence takes time.
The timeline depends on:
Rather than relying on a fixed promise of results, it is more useful for the strategy to track progressive signals: pages beginning to appear in citations, an increase in mention frequency, growth in the number of questions for which the brand appears and the emergence of relevant traffic.
At Beans United, the AEO programme is structured in three stages so that analysis, implementation and optimisation form part of the same process.
In the first stage, we analyse the brand’s current visibility and competitive context.
The audit may include:
This stage helps the company understand where it appears, which competitors occupy the relevant space and what should be prioritised.
Based on the strategy, the necessary digital assets are created or optimised.
This stage may include:
The objective is to build a foundation capable of supporting long-term visibility.
AI visibility requires continuous monitoring and optimisation. At this stage, we track the evolution of mentions, competitors and sources, identify new questions and expand the content according to the results.
The process includes:
Visibility and authority are not built instantly. Brands that begin earlier have more time to develop content, sources, mentions and topic associations before the space becomes more competitive.
The advantage does not come only from being the first brand to publish about a topic. It comes from the ability to build a consistent and verifiable presence.
As more buyers use AI for research, brands that are easy to understand and well represented across relevant sources may enter the selection process earlier.
AI Search is changing how potential customers discover, compare and evaluate companies. Visibility now means both achieving a strong position in search results and appearing in the synthesised answers users receive.
AEO adds a new dimension to SEO, content marketing and lead generation strategies: the ability of a brand to be identified, cited and associated with the questions that matter to its audience.
Would you like to find out whether your brand appears in ChatGPT and other AI engines?
Request an AEO Audit delivered by Beans United with HubSpot AEO. We will show you where your brand appears, which competitors are more visible and which actions can help increase your presence in AI Search.
AEO, or Answer Engine Optimisation, is the process of developing a brand’s content and digital presence to increase the likelihood that it will be cited, mentioned or included in answers generated by AI platforms.
A brand can increase its chances of appearing through relevant, well-structured content, consistent positioning, authority within its field and mentions across external sources. Appearance in a particular answer cannot be guaranteed.
No. AEO complements SEO. Search engine optimisation helps pages to be discovered and indexed, while AEO extends the strategy towards answers generated by AI platforms.
Relevant formats include guides, comparisons, service pages, “how to choose” articles, case studies, FAQs and resources that answer specific questions from the buying process.
The timeline varies according to website authority, competition, existing content and the brand’s presence in external sources. Initial signals may appear relatively quickly, but building consistent visibility is a longer-term process.
You can track mention frequency, share of voice, cited sources, the questions for which the brand appears, traffic from AI platforms and associated conversions. Tools such as HubSpot AEO provide functionality for analysing visibility and competitors.
AEO is particularly relevant for companies whose customers use online research to compare solutions, providers and purchasing criteria. It can be especially useful for SaaS, technology, professional services and other B2B companies with research-led buying processes.