by Ema Fulga
Ema is an AI Search Content Strategist and GEO (Generative Engine Optimisation) expert. She's also the founder of decipher., an AEO agency that helps brands appear where people are now searching: AI-powered platforms like Perplexity, ChatGPT, Gemini, and others. With a background in copywriting and creative strategy, she’s on a mission to turn messy messaging into clear and structured content that helps brands get mentioned and cited in AI searches.
Connect with Ema.
Something changed quietly in 2025, and most brands missed it… Until now.
A growing share of searches now end inside the answer itself: a synthesised response from ChatGPT, a cited summary from Perplexity, a Google AI Overview that never sends anyone anywhere. The user got what they needed. Your website never entered the picture. I can hear the penny drop as you realise why your website traffic has changed...
This is not a future problem. According to Position Digital's 2026 AI SEO statistics roundup, organic click-through rates drop by 61% on queries that trigger an AI Overview, but when a brand is actually cited inside that overview, CTR is 35% higher than average. The gap between mentioned and invisible is widening fast. You want to be on the right side of the gap!
Answer engine optimisation (AEO) is the discipline built around that gap. Not rankings, not clicks; they won't save you in the AI visibility arena. Recommendation probability is what it's all about.
Key takeaways
AI tools now synthesise answers instead of returning lists of websites to read to find the answer. If your brand isn't cited, you don't exist in that moment.
Organic CTR drops 61% on AI Overview queries, but jumps 35% when a brand earns a citation.
AEO is not about gaming the machine. AI is too advanced for tricks. It is about becoming the brand AI can confidently understand and repeat.
The brands showing up in AI answers are not necessarily the ones with the biggest budgets or the most content. They are the ones AI can interpret clearly. So how do you become one of those brands?
What is answer engine optimisation?
Answer engine optimisation is the practice of making your content and brand signals easy for AI systems to discover, interpret, trust, and cite.
That last word matters. The output of AEO is not a position on a results page. It's being mentioned (and, better yet, cited) in a generated answer: a paragraph in a ChatGPT response, a source link in a Perplexity summary, or a brand mention in a Google AI Overview. You are not competing for a slot. You are competing to be considered credible enough to repeat. It's like quoting an industry expert.
Answer engine (noun): Any AI-powered tool that synthesises a direct response to a query rather than returning a list of links. The user receives an answer, not options.
The answer engines where your customers are asking questions about you
ChatGPT (including GPT-4o and the web-search mode): now used by over 400 million weekly active users, with commercial prompts increasingly triggering live web searches
Perplexity: built entirely around cited, sourced answers with visible attribution
Google AI Overviews: embedded directly into Google Search, appearing on approximately 48% of tracked queries according to Involve Digital's 2026 AEO guide
Gemini: Google's AI assistant, integrated across Search, Workspace, and mobile
You may also see AEO referred to as GEO (generative engine optimisation) or AI search optimisation. The terminology varies; the underlying discipline does not. All three describe the same strategic challenge: ensuring AI systems understand your brand well enough to mention it.
The distinction from traditional SEO is important, and worth settling properly before moving on.
AEO vs SEO: same foundation, different visibility model
SEO and AEO are not opposites. They are friends! SEO is still the foundation. Without crawlable content, domain authority, and structured technical hygiene, AI systems cannot reliably access or trust your brand in the first place.
But they optimise for fundamentally different outcomes. Success in SEO does not guarantee success in AEO. You need to be ticking other boxes for AEO that didn't matter as much in SEO.
SEO | AEO | |
|---|---|---|
Goal | Rank in search results | Be cited in AI-generated answers |
Output | A position on a results page | Inclusion inside a synthesised response |
User behaviour | User clicks a link and visits your site | User receives an answer; your brand may or may not be attributed |
Competition | 10 blue links | Often one synthesised answer |
Key signals | Backlinks, keywords, page authority | Entity clarity, topical depth, third-party mentions, directness |
Measurement | Rankings, organic traffic, CTR | Citation frequency, mention accuracy, share of AI answers |
The critical shift is this: traditional search returns options. Answer engines compress those options into a single response. Your brand either made the cut or it didn't.
The overlap is smaller than most assume. Research from Involve Digital found that after Google's Gemini 3 citation updates, only 17 to 38% of pages cited in AI Overviews also ranked in the organic top 10. Ranking well no longer guarantees AI visibility. The selection logic is different.
For a deeper breakdown of how SEO and GEO relate strategically, decipher.'s SEO vs GEO guide covers the distinction without the jargon.
The real question is not whether SEO or AEO matters more. It is why so many brands invest in both and still get ignored by AI. That answer has nothing to do with technical settings.
Why most AEO advice is too technical
Ask an agency about AEO and you will likely receive a checklist. Add FAQ schema. Create an llms.txt file. Optimise for featured snippets. Make sure Googlebot can crawl your pages.
None of that is wrong. But it is not why AI trusts or repeats a brand.
Technical hygiene is the entry ticket. It is not the selection criteria. The brands getting cited consistently are not winning because they added a structured data tag. They are winning because AI can confidently answer the question: who is this brand, what do they do, and why should I mention them?
Most brands cannot pass that test. Not because of a technical failure. Because of a clarity failure. You wouldn't take the word of a random stranger off the street, would you? If AI can't establish entity clarity, you might as well be any Tom, Dick or Harry.
The myths worth discarding
What most AEO advice says | What actually drives citation |
|---|---|
Add FAQ schema to every page | Write direct answers AI can extract and repeat |
Create an llms.txt file | Build consistent entity signals across your entire web presence |
Optimise for featured snippets | Develop genuine topical authority, not just keyword coverage |
Publish more content | Publish clearer content that answers specific questions precisely |
Fix crawl errors | Fix your brand positioning so AI knows what category you belong in |
Google's own guidance on generative AI content is telling in its simplicity: there is no separate loophole for AI visibility. The fundamentals are helpful content, strong accessibility, and demonstrated expertise. No trick bypasses that.
The real problem most brands have is interpretive. They are vague about what they do. They use different language across their website, LinkedIn, press coverage, and metadata. They describe themselves in abstract terms that mean nothing to a system trying to decide whether to cite them.
AI does not reward noise. It rewards clarity. And most brands are not nearly as clear as they think they are.
What actually makes a brand citable in AI answers
Strip away the checklists and the citation logic comes down to four things. AI systems cite brands they can confidently interpret. Everything that drives that confidence falls into one of these categories.
1. Clarity: say what you are, explicitly
AI systems do not infer. They interpret what is written. If your homepage describes you as "a growth-focused creative collective delivering transformative brand experiences," AI has nothing concrete to work with. If it says "a London-based branding agency for consumer food and drink brands," AI knows exactly where to place you.
Clarity means: your category, your audience, your geography, and your specialism, stated plainly and consistently. Not buried in a brand manifesto. On the page, in the metadata, in the structured data. Don't bury the lead!
2. Authority: earn third-party trust signals
AI does not only read your website. It also reads what the rest of the internet says about you. What's the deal no sugarcoating? Third-party mentions, press coverage, industry directories, and credible backlinks all contribute to the trust model. According to Position Digital, branded web mentions and YouTube citations correlate strongly with AI visibility, suggesting that off-site presence matters as much as on-site structure.
Topical authority matters here too. A brand that has published ten genuinely useful, well-structured pieces on a specific subject is more citable than one with a hundred shallow posts covering everything loosely.
3. Structure: make your content extractable
AI systems need to pull specific answers from specific pages. They want to get in and get out as quickly as possible. That means direct answers near the top of each section, clean heading hierarchies, FAQ and Article schema where relevant, and content that makes sense in isolation, without requiring the reader to have read everything else first.
Data from AI Search Tools' analysis of over one billion AI responses found that question-based headings, direct answers, and demonstrated topical depth consistently improve citation probability across platforms.
4. Consistency: tell the same story everywhere
This is the one most brands underestimate. Your website says one thing. Your LinkedIn says something slightly different. Your press coverage uses a different category descriptor. Your metadata uses a third.
AI builds its understanding of your brand from all of these signals together. Inconsistency creates ambiguity. Ambiguity reduces confidence. And reduced confidence means you do not get cited. Rather not risk it!
The brands winning AI visibility are not necessarily the most prominent. They are the most coherent. Every channel, every description, every mention pointing in the same direction.
Why this matters commercially, not just technically
AEO is sometimes framed as a future-proofing exercise. Something to think about eventually. That framing is costing brands real revenue right now.
AI visibility does not just affect awareness. It affects discovery at the exact moment a buyer is evaluating options. When someone asks ChatGPT to recommend a premium skincare brand, a B2B software tool, or a London restaurant for a client dinner, they are not browsing. They are deciding. The brand that gets mentioned in that moment has a material advantage over the brand that does not. You don't want to be left out of the conversation.
The commercial evidence is only growing:
AI referral traffic converts at significantly higher rates than conventional organic. Austin Heaton's May 2026 AEO report cites figures suggesting AI-referred visitors convert at around 5.1x the rate of standard organic traffic. The volume is still smaller, but the intent is sharper.
AI search is growing fast. The same report notes that AI-assisted search is expanding rapidly, with buyer research behaviour shifting towards conversational AI tools for initial discovery and shortlisting.
Zero-click behaviour is accelerating. A growing share of searches resolve inside the AI interface, meaning the opportunity to be found through a traditional click is shrinking on certain query types, particularly informational and comparison searches.
The cost of inaction is competitive, not just technical. If your brand is absent and a competitor is present, AI becomes a channel that actively recommends against you, passively, at scale, every time the query is run.
The question is not whether AI search matters. The question is whether your brand is ready for it.
For brands that depend on discoverability, the window for early-mover advantage is narrowing. The brands building AEO into their strategy now will be harder to displace later.
How to tell if your brand is being ignored by AI
Before investing in AEO, you need to know where you actually stand. A lot of brands assume they are doing reasonably well, then get a rude awakening.
A basic visibility baseline takes less than an hour. Try this...
Run a prompt audit across the main platforms
Open ChatGPT, Perplexity, and Google AI Overviews separately
Search 10 to 20 queries your ideal customer would actually use: category searches, comparison searches, problem-based searches, and branded searches
Record whether your brand appears, how it is described, and which competitors are cited instead
Note the quality of the description: is it accurate? Is it current? Does it reflect how you want to be positioned?
What to look for
Absent entirely: AI has no confident understanding of your brand, or cannot access your content reliably
Mentioned but misrepresented: AI has some signal but is working from outdated, inconsistent, or low-authority sources
Present but outranked by competitors: your signals exist but a competitor's are stronger or clearer
Cited accurately and consistently: you are in good shape, but there is likely still room to improve frequency and coverage
The audit tells you whether the problem is technical access, weak authority, unclear positioning, or inconsistent signals. Each has a different fix. Lumping them together under "we need to do AEO" leads to wasted effort.
decipher.'s AI Search Audit is built around exactly this diagnostic process, mapping where your brand appears, how it is described, and the AEO markers your brand is missing.
What to do next
Answer engine optimisation is not another acronym to file away for a quiet day. They never come! It describes a real shift in how brands are discovered, evaluated, and recommended, one that is already affecting discoverability for brands across every category.
The summary is straightforward:
AI now shapes who gets recommended before a click happens
Brands that earn citations are not the loudest, they are the clearest and most trusted
Technical fixes matter, but the deeper problem is almost always clarity: AI cannot confidently cite what it cannot confidently understand
The gap between cited and invisible is widening, and it compounds over time as AI systems reinforce existing patterns
The fastest way to understand where you stand is a proper audit. A structured review of how AI currently interprets your brand, where competitors are getting cited instead, and what is preventing AI from recommending you.
Ready to see how AI describes your brand? Book an AI Search Audit with decipher. and find out exactly where you stand, what AI thinks you do, and what it would take to change that.
For a broader introduction to AI search optimisation strategy, decipher.'s GEO Hub covers the full picture.