AI isn't showing your customers a list. It's choosing one confident answer. We build the brand presence that makes sure that answer is you.
When your customer opens ChatGPT and asks what to buy in your category, they don't get ten blue links. They get one confident answer. A short list. And then they act on it.
The brands in that answer are winning customers you don't know you're losing.
SEO gets you ranked on Google. AEO gets you recommended by AI. These are not the same discipline, the same signals, or the same strategy. The gap between brands who understand that distinction and brands who don't is growing every week.
AI recommendation patterns are forming right now. The brands building their AEO presence today will own their category. The ones waiting to see what happens will spend next year catching up.
Most brands fail in AI search for one of three reasons. They haven't been learned about clearly enough, haven't been cited in contexts that build credibility, or the information about them is inconsistent across the web. Our methodology addresses all three.
Before AI recommends your brand, it has to know what your brand is. Not just that it exists. What it does, who it serves, what category it belongs to, and why it is the right answer to a specific question.
Most brands are too vaguely defined for AI engines to describe them with confidence. We fix that by establishing entity clarity across every surface where AI learns about your brand. Structured data, brand facts, consistent descriptors, and definitional content that leaves no room for ambiguity.
Knowing your brand exists is not enough. AI engines need to encounter your brand in credible contexts before they will stake a recommendation on it. That means citations in relevant publications, mentions alongside trusted entities in your category, and a presence across the knowledge surfaces AI actually uses to evaluate credibility.
Those surfaces are not your website. They are industry directories, Q&A platforms, structured databases, press coverage, community forums, and documentation. AI builds its picture of your brand from what it finds across all of them. A brand present in one place is a brand AI can describe. A brand present across many credible places is a brand AI will recommend.
We build the citation authority and third-party presence that signals to AI engines that your brand is a safe recommendation.
The final step is making your brand the obvious answer to the specific questions your customers are asking. That means understanding the exact purchase-intent queries being made in your category, mapping your brand to those queries, and building the structured content that positions you as the confident answer.
This is where AEO compounds. Every piece of structured content, every new citation, every consistent brand signal pushes you further inside the candidate set AI draws from when your category comes up.
AEO. Across four disciplines that compound on each other when applied together. No SEO retainers, no paid media, no social. Every hour of work on your account is spent on AI visibility.
Most brands don't have an AEO problem. They have an AEO absence. Nothing is wrong, nothing has been built. This programme establishes your baseline visibility, maps the gaps between where you are and where you need to be, and closes them systematically across all three pillars of Know, Trust, Recommend.
Enquire about this service →AI engines don't recommend brands they can't verify. Your Answer Hub is the body of evidence that proves your expertise. We research exactly what your customers are asking AI in your category, then build the structured content library that makes you the obvious authority to cite.
Enquire about this service →AI engines can't recommend what they can't read. Structured data is the layer that makes your brand identity, products, and expertise legible to machines. Most brands have none of it. We implement the full stack and validate it against the platforms that matter.
Enquire about this service →Recommendation patterns shift. New AI platforms emerge. Competitors move. This retainer keeps you ahead of the category every month with ongoing audits, new Answer Hub content, competitor monitoring, and monthly reporting against your visibility score.
Enquire about this service →Every engagement starts with a scored baseline. That number is your starting point. Everything we do is designed to move it.
We run 20 purchase-intent prompts across ChatGPT, Perplexity, and Google AI. You get a score out of 20 and know exactly where your brand stands before a single dollar is spent on strategy.
We review your results together. We identify the highest-value gaps in your category. Not generic AEO advice, but the specific opportunities that exist for your brand right now.
We execute across all three pillars: Know, Trust, Recommend. Structured data, Answer Hub content, brand entity work, and authority signals delivered in a sequence designed for early results and long-term authority.
Every month your prompts run again. Your score either goes up or we explain why and what changes. No vanity metrics. Just your number, your trajectory, and what we are doing about it.
Any brand whose customers use AI to research, compare, or decide what to buy. The category doesn't matter. What matters is whether AI-driven discovery is relevant to how your customers find you.
Most digital agencies discovered AI search in 2024. Marina was already building for it.
Edge Studio was founded by Marina Lyshova, digital marketer, AI tool builder, and qualified herbalist with 10 years in content strategy. She saw where search was going before most people were willing to look. She coined The Eligibility Layer, the framework defining the binary trust threshold AI systems apply before deciding which brands to recommend at all.
We work with ecommerce brands, DTC founders, SaaS companies, tech brands, service businesses, and specialist practitioners across Australia and globally. What every client has in common: they want to be the brand AI recommends, not the one it overlooked.
AEO is the only thing we do. That is not a limitation. It is the point.
The Eligibility Layer is the binary threshold AI engines apply before deciding which brands they are willing to recommend at all. You are either inside the candidate set or you are not. There is no position 47.
Any brand whose customers use AI to research, compare, or decide what to buy. Ecommerce, DTC, SaaS, tech, professional services, specialist practitioners. The category doesn't matter. What matters is whether AI-driven discovery is relevant to how your customers find you.
It is the binary threshold AI engines apply before deciding which brands they are willing to recommend at all. You are either inside the candidate set or you are not. There is no position 47. The Eligibility Layer is the intellectual framework underpinning everything Edge Studio builds.
SEO optimises your content to rank in Google search results. AEO optimises your brand to be recommended by AI tools like ChatGPT, Perplexity, and Google AI Overviews. These platforms don't show a list of links. They give one confident answer. AEO makes sure your brand is that answer.
Structured data improvements can influence AI recommendations within weeks. Meaningful, sustained improvement in your visibility score typically takes 60 to 90 days of consistent work. We measure from day one so you always know exactly where you stand.
No. AEO and SEO share some technical foundations but operate independently. A brand with average SEO can build strong AI visibility. The signals AI engines use are different from the signals Google uses to rank pages.
Pricing depends on your category, competitive landscape, and how much needs to be built versus refined. Get in touch and we will give you a clear, specific number quickly. No lengthy discovery process required.
Yes. AI search is a global channel. We work with brands regardless of where they are based.
Send us your brand name and what you sell. We will come back within one business day with a clear view of where your AI visibility stands and exactly what it would take to close the gap.