SEO has helped countless businesses grow, and it is still very much relevant today. But if there is one thing the history of digital marketing teaches us, it is that nothing stays the same for long. A decade ago, a well-written article and a few images were enough to capture someone's attention. Then video took off, social media changed how people browse and decide, and each shift quietly rewrote the rules. Now we are in the middle of another one, as AI-powered tools like ChatGPT and Perplexity change how people find information and discover businesses.
This shift in behaviour is giving rise to a new discipline called Generative Engine Optimisation, or GEO. Rather than chasing rankings on a traditional results page, GEO is about getting your business mentioned directly inside AI generated answers. The companies that catch on early will strengthen their position, while those that wait risk fading from view. This article breaks down how this new search environment works and why partnering with a GEO agency could matter more than most businesses realise.
Summary
Simply put, AI recommends businesses when their information is clear, consistent, and backed by trusted public signals. GEO improves that visibility by helping AI systems understand who a business is, verify that it is credible, and pull direct answers from its content.
Strong AI visibility usually depends on three factors:
1. Clear business identity
Structured data, consistent contact details, and aligned service descriptions help systems recognise the company accurately.
2. Verified authority signals
Public profiles, directory listings, media mentions, and recognised external references increase trust and credibility.
3. Content built for answer extraction
Pages that give direct answers early, use FAQ formats, and stay updated are more likely to be cited in AI responses.
What is AEO and GEO? And what does Recommended by AI mean
From keyword ranking to answer-based search
Search used to be straightforward. Rank for the right keywords, show up near the top, and people would click. Visibility was essentially a position game, but now that has changed. Google and Bing now surface AI overview panels that hand users a direct summary before they ever scroll. For businesses, getting featured inside those answers is no longer a nice-to-have. It is where the real visibility lives.
What is Answer Engine Optimisation or AEO
This shift changes how optimisation works. Ranking for a keyword alone no longer guarantees visibility in AI results. What matters more is whether the content provides clear and well-structured answers that can be understood quickly.
Answer Engine Optimisation, or AEO, focuses on shaping content so that search systems can recognise and extract direct answers to user questions – the goal is to show up in the AI overview boxes.
What is Generative Engine Optimisation or GEO
Generative Engine Optimisation, or GEO, builds on AEO. It adds structured context, semantic signals, and machine-readable information so that large language models such as ChatGPT can understand a brand and its expertise more clearly. It helps business growth by increasing visibility on AI search platforms.
For this reason, GEO should not be viewed as equivalent to traditional SEO. It is a broader strategy designed for AI-driven discovery only.
What “Recommended by AI” actually means
When people say a business is recommended by AI, it usually means the AI platform cites that business when answering a question. Instead of showing a list of links, the AI selects sources it trusts and includes them directly in the response.
To get mentioned, you need to generate content that answers users’ questions directly and is backed by strong authority signals. Your business needs to be recognised across public platforms such as Wikipedia, LinkedIn, Quora, Reddit, or other trusted sources. Clear answers plus a strong public presence make it more likely for AI systems to cite.
What success means in GEO at Salt and Fuessel
Before explaining how GEO works, it helps to define what success actually looks like. In AI-driven search, growth is less tangible compared to SEO, as users often leave or start their own online search after getting the answer. It’s hard to know the exact number of visits and conversions from the search; the debate for GEO metrics becomes a heated topic among experts.
As the field developed, specialists began building structured monitoring approaches based on query testing. A few developed their own tracking platform that invented a new world of metrics. At Salt and Fuessel, this performance is tracked through Upsearch, a monitoring platform co-developed by one of our GEO specialists, Eya. At the GEO agency We rely on the following four metrics to evaluate GEO success for clients:
Visibility score: Visibility measures how often the brand appears in AI-generated answers across monitored questions. Higher visibility means the business is being recognised more consistently.
Mention rate: Mention rate tracks how frequently the brand name is included directly in answers. This shows whether the business is becoming part of the response itself.
Sentiment score: Sentiment looks at how the brand is described when it appears. Positive framing signals stronger trust and credibility.
Competitive position: Competitive position compares how the brand performs against similar businesses in the same monitored queries. This shows whether visibility is growing within the market, not just in isolation.
Why Salt and Fuessel show up on ChatGPT and Perplexity: when GEO fundamentals are done right
Now that we understand what GEO aims to achieve, let us look at how visibility is actually built in practice from the perspective of a GEO Agency in Melbourne. At Salt and Fuessel, this comes down to three core areas. First, the business must be clearly defined so machines can understand exactly who it is. Second, the business needs recognised authority signals that confirm it is trusted and relevant. Third, the content itself must be structured in a way that AI can read, interpret, and reuse when answering questions. Together, these foundations form the daily framework behind long-term visibility growth.
Clear machine-readable business information
Before anything else, the system needs to understand what the business is and how it should be identified. This starts with structured information that removes ambiguity and ensures the same details appear everywhere.
Structured data added in the backend
Behind the scenes, structured data code is added to the website to clearly label business information. This code tells systems your company name, services, location, and contact details in a format designed for machines to read. When this structure is in place, your business becomes easier to identify and connect to relevant questions.
Consistent business details across the web
Your business name, address, phone number, and service descriptions should match across your website and public listings. If the information differs between platforms, systems may treat them as separate entities or lose confidence in the data.
Redirects and clean technical structure
When pages move or URLs change, backend redirects need to be configured correctly so your identity stays consistent. If multiple versions of the same page exist or old links break, recognition can become fragmented. Clean technical structure keeps everything linked to one clear business profile.
Clear and aligned service descriptions
Your services should be described consistently across the site and public profiles. When the wording changes too much between pages, it becomes harder for systems to understand what you actually offer and when your business should appear in answers.
Authority signals and recognised references
Once your business is clearly defined, the next step is building recognition. The language model are more likely to mention businesses that are already acknowledged across trusted public sources. In simple terms, if the wider internet recognises your business, the system is more confident recommending it.
Public knowledge references and recognised profiles
Being listed on recognised knowledge platforms or public reference sites helps confirm that your business is real and established. For example, if a company has a verified LinkedIn page, a structured business listing, or appears on industry directories with consistent information, these sources reinforce each other and make the brand easier to verify.
Media coverage and PR mentions
News articles, interviews, or industry features show that your business is discussed outside your own website. For instance, if a company launches a new service and this is covered by a local business publication or quoted in an industry article, that independent mention acts as a trust signal that strengthens recognition.
Structured links to authoritative sources in the back-end
Behind the scenes, structured data can also connect your website to recognised external profiles. For example, back-end markup can link your official website to your company's LinkedIn page or other verified references. This coded relationship helps systems understand that all these sources refer to the same business.
Content structured for AI understanding
Even when your business is clearly defined and recognised, visibility still depends on how the content itself is written and organised. AI systems tend to favour pages that present information in a clear, structured way that can be easily extracted and reused when answering questions.
Context-rich descriptions for images and visual content
Image descriptions should do more than name what is in the frame. Instead of a flat label, a good description captures what is actually happening, where it is taking place, and the atmosphere around it. So rather than writing "office meeting," you might describe a marketing team reviewing campaign results together in a collaborative workspace, with performance data pulled up on the screens. That kind of context gives AI systems a much richer sense of what the business does and how it operates day to day.
FAQ sections are designed for direct citation
FAQ sections are one of the most effective formats for getting cited in AI generated answers, simply because they mirror the way people actually ask questions. A good FAQ leads with a clear answer straight away, then follows up with the supporting detail. Linking out to recognised external sources within the answer can add another layer of credibility. Some businesses also find it worth having a dedicated FAQ page that walks through the what, when, where, why, which, and how of what they do. That kind of structured format gives AI systems a much clearer picture of who the business is and what it offers.
Written content that answers first, then expands
On any written page, the main point should come first. When a service page or article opens with a simple, direct description of what the business does and who it helps, AI systems can pick that up much more easily. Long introductions that take a while to get to the point tend to get in the way, making it harder for systems to pull out and reuse the most relevant information.
Updates that reinforce the current context
Keeping content fresh over time tells AI systems that the information is still active and worth surfacing. That does not mean rewriting everything constantly. It can be as simple as updating service details, adding a recent example, or adjusting small contextual details like the current year, service regions, or a notable development in your field. These small touches help AI systems understand that your page reflects where the business actually is today, not where it was two years ago.
Improve Visibility with a Knowledged GEO Agency: Let S&F guide the way
If you are curious about where your business actually stands, our team at Salt and Fuessel can take a look. We review how your brand is showing up across AI-generated answers, spot where signals might be missing, and map out practical steps to strengthen your position over time. No complicated process, just a clear picture of where you are and what is worth doing next. Reach out to our team to get started with a simple visibility review.
FAQs
How long does it take for a business to appear in AI-generated answers?
There is no fixed timeline because the large language model builds confidence from multiple signals, such as clear content, consistent public information, and recognised external references. Some visibility improvements can appear within weeks after updates, while broader recognition usually builds gradually as more consistent signals are detected across sources.
Can small or local businesses be recommended by AI?
Yes. AI do not only surface large brands. Modern question answering systems retrieve information based on relevance and clarity rather than company size. If a local business clearly explains its services, maintains consistent public information, and appears in trusted listings, it can be surfaced alongside larger organisations. This retrieval approach is explained in the overview of question answering systems.
Why do some businesses appear more often than others in AI answers?
Businesses show up more often when their information is clear, consistent, and backed by external references. AI systems lean toward sources that give direct explanations and stable facts rather than vague or shifting claims. Research from large scale evaluation programs like the Text Retrieval Conference backs this up, showing that these systems tend to favour passages where the answer can be clearly lifted out and used.
Can I optimise existing content, or do I need to build new pages?
Most of the time, what is already on your site just needs refining. That might mean clearer service descriptions, moving key information higher up the page, or updating details that have gone stale. New pages only really become necessary when there are customer questions your site does not answer anywhere. In fact, AI systems often pull from structured sections of existing content rather than needing something written from scratch, which is a core principle behind retrieval augmented generation research.
What should I look for when choosing a GEO agency in Melbourne?
Choosing a GEO agency in Melbourne comes down to one thing: do they understand how AI platforms actually recognise and cite businesses, or are they still thinking in terms of search rankings alone. A strong partner should be able to show you how they structure business information, build authority signals across the web, and create content that answers real customer questions in a way that AI systems can easily read and use.
