People are moving away from scrolling through the blue links. They're asking ChatGPT, Gemini, and Perplexity to do the heavy lifting instead. (People are inherently lazy!)
Answer Engine Optimisation (AEO) is the practice of making sure your brand shows up in those AI-generated responses.
After working through this both internally and with some of our own clients, we thought it was worth putting down what we've learned.
This guide covers the basics of what AEO means, why relevant content is the difference between visibility and noise, and how SCG uses strategy to help clients produce content that keeps its editorial integrity while earning its place in AI answers.
Answer Engine Optimisation is the practice of improving how often and how accurately your brand appears in AI-generated answers. When someone asks an AI assistant about a topic in your space, AEO determines whether your business gets cited, mentioned, or ignored entirely.
This matters because discovery has changed. According to SparkToro's 2026 research, 68% of Google searches now end without a click. More potential customers use conversational AI to research and decide before they visit a website.
If your content isn't structured and relevant enough for AI to surface, you're invisible during these conversations.
Traditional search rewarded volume and keyword targeting. You could rank by publishing enough pages aimed at enough terms. AI-driven discovery doesn't work that way. Answer engines pull from content they consider authoritative, well-structured, and directly relevant to the question. They synthesise responses from multiple sources and present a single, consolidated answer.
In summary, the old playbook of publishing high volumes of keyword-targeted pages isn't enough. You need content that answers real questions clearly, demonstrates genuine expertise, and connects to a coherent set of topics your business is known for.
AI engines don't invent expertise. They aggregate and cite it. If you haven't published detailed, authoritative content about a topic in your space, an answer engine has nothing to reference. Your competitors who have published that content will be cited instead.
Some businesses half-tick the content marketing box by publishing lightweight pieces that offer little substance. ChatGPT or Gemini won't cite that kind of content. Answer engines favour content with depth, specificity, and supporting evidence. Additionally, I've noticed it seems to highly value sponsored content placement on authoritative published sites. (Paid media placement.)
Simply put, if your content doesn't add anything that isn't already available in dozens of other places, AI has no reason to cite you. Thin content leads to thin answers, and thin answers won't include your brand.
Additionally, producing a high volume of content is meaningless if it isn't reaching the people who matter to your business. AEO only works when the content you create is genuinely relevant to the audience you're trying to serve. That's where personas come in.
A persona is a snapshot of a key customer type: their role, challenges, questions, and desired outcomes. When you map content to defined personas, every piece has a purpose. Personas stop your team from drifting into topics that feel interesting but don't serve anyone in particular. They force a useful question before anything gets written: "Who is this for, and what do they need from us?"
Personas tell you who you're writing for. Content pillars tell you what you're allowed to write about. Together, they create a framework that ensures your content is relevant and compelling.
A content pillar is a core topic area that connects directly to your business capabilities and your audience's needs. Everything you publish should connect back to one of these pillars.
Without pillars, AEO recommendations can scatter your efforts across topics that dilute your authority rather than building it. Pillars give your editorial team a decision-making framework: does this topic sit within our pillars? If not, it doesn't make the cut.
If you haven't developed your personas and pillars yet, I'd argue that developing your content strategy is step one before any AEO conversation.
We use AEO insights as a layer for deciding what content to produce, not as a script to follow verbatim. AEO tools provide useful signals about what audiences are asking and where opportunities exist.
But a signal isn't a strategy. Strategy requires human judgement, editorial expertise, and a deep understanding of each client's business. Before we develop any content, we lock in the overarching content strategy.
SCG uses SEMrush as our AEO recommendation tool. It provides data on the questions people are asking, the topics where competitors are being cited, and the areas where a client's content gaps are most pronounced. That data is valuable, but it is a layer in the whole content development process.
If you've ever used a tool like SEMrush for AEO analysis, you'll know the feeling. It's like drinking from a firehose. You get hundreds of recommendations, keyword opportunities, and content gaps fired at you simultaneously. (It will also produce some bonkers recommendations about the business itself. Last week, it recommended dropping interest rates for a financial client!)
AEO tools will identify a multitude of topics people are searching for, from social media queries to in-depth service comparisons. Not all of them are topics you should write about. Demand alone isn't enough to justify producing content.
You also need the capability and credibility to genuinely add value on that topic.
A content pillar grounded in what your business actually delivers ensures you're building authority in areas where you can back up what you say. Writing about something just because it has search volume, without the expertise to support it, damages credibility with both readers and AI models.
That's why raw tool output needs filtering through audience personas and content pillars before it becomes actionable. The tool does the data gathering. The editorial team does the thinking.
SCG uses AEO insights within its content generation process while keeping the editorial team firmly in control. Content with a high AEO relevance is flagged and rated within the content plan. The editorial team reviews every recommendation, tests it against audience fit and business relevance, and decides what gets produced and how.
This isn't about being anti-AEO. It's about recognising that content quality depends on craft, context, and editorial judgement. You can't just give a team a pile of AEO data and ask them to build a content programme from it. SCG's approach treats AEO data as an input, not an instruction.
Content OS is SCG's newly developed content methodology that bridges the gap between content strategy, development, and management. Simply put, it's a framework that goes beyond a standard content calendar and includes references to Personas, Pillars and AEO relevance.
You can read more about it in our Content OS blog post.
Within Content OS, SCG uses AEO importance rankings to help clients determine which content will give them better exposure in AI answers. Not every AEO opportunity is equal.
The importance rankings weigh both demand and relevance, so the content calendar highlights the topics most likely to earn AI citations and resonate with the right readers.
Many pieces of content with low AEO resonance will still be highly important to your audiences. For example, an article promoting a major event would have a low AEO rating, but is a critical message that needs to be communicated.
Prioritisation is the key to success here.
Once AEO importance rankings have surfaced the opportunities, personas and pillars do the refinement work. Does this topic speak to one of our defined audience segments? Does it connect to a core content pillar? Does the client have genuine expertise or a credible point of view on this subject?
If a recommendation passes all three tests, it moves forward. If it doesn't, it gets set aside regardless of its AEO score. This filtering process is what prevents Content OS from becoming another treadmill churning out content nobody asked for.
You don't need to overhaul your entire content operation overnight. You can start AEO improvements with practical steps that build on what you already have. The key is starting with the right foundations rather than chasing every signal a tool throws at you.
Before you touch any AEO tool, clarify two things: who your audience actually is and what you genuinely offer them. Map out your key personas. Define your content pillars based on your real capabilities. If you need help with marketing automation or content infrastructure, sort that first.
If you skip this step and jump straight into AEO tool recommendations, you'll end up producing content that scores well on paper but doesn't connect with real people or represent your business accurately.
AEO tools like SEMrush are genuinely useful for surfacing opportunities. Use them. But treat their output as the starting ingredients, not the finished meal. Run every recommendation through your persona and pillar filters. Ask: "Is this relevant to our audience? Can we add genuine value here? Does this align with our business?"
The tool does the broad scanning. Your team does the sharp decision-making. That combination produces content that earns citations, not content that simply exists.
Resist the temptation to publish at volume before you've established topical relevance. Start with a small cluster of deeply relevant, well-crafted pieces that demonstrate genuine expertise. Let AI engines discover that content, index it, and begin citing it. Then expand from a position of authority.
Scaling before you've established relevance means you'll dilute your authority across too many topics. Build depth first. Breadth follows once you've proven you know what you're talking about.
AEO isn't a separate discipline from good content marketing and publishing. It's what happens when you combine relevant, well-structured content with a clear understanding of whom you're writing for and what you're qualified to say.
The businesses earning AI citations are the ones that have done the unglamorous work: defining their audience, setting their content pillars, and producing material that genuinely helps people.
The content that earns AI citations isn't regurgitated data. It's well-crafted, genuinely useful material that adds something the existing conversation is missing. That requires human thinking and editorial craft, not copy-paste from a dashboard.
SCG's Content OS methodology exists because we've seen what happens when AEO signals are followed without that human filtering layer: lots of content, very little impact. The editorial team stays in control, the personas keep us honest, and the pillars keep us focused.
There is obviously a myriad of other details we could explore here, but hopefully this gives you enough to think about before diving into AEO for your own business. If you have any questions or comments, feel free to get in touch!