AI Visibility Growth

There are a lot of names floating around for work that’s related to making your brand show up in AI answers. AIO, GEO, AI SEO, Relevance Engineering, SRO (selection rate optimisation) – you name it. Different labels, same goal: to help your brand appear for as many relevant queries/prompts as possible – with a link, a logo, and an explicit brand mention.

The shift is already hard to ignore. According to Conductor’s 2026 research (The 2026 AEO / GEO Benchmarks Report), AI platforms already drive around 1.08% of global web traffic. First Page SEO research suggests ChatGPT has captured a meaningful share of global digital searches, powered by a user base of close to 900 million. And chances are you’ve seen this in real life too: people who use an LLM chat for everything when it comes to search. And barely using Google at all.

If your brand isn’t discoverable through AI answers, it becomes much harder for your target audience to find you.

The good news is: with good SEO work comes good AI visibility, as it still relies heavily on traditional SEO foundations. But some factors must be configured with an engineer mindset for effective ranking. Especially if the competition on that market is fierce.

Use the table of contents if you want to jump straight to the answers that are most relevant to you. 😉

Table of Contents

How is LLM Optimisation Different From “Traditional” SEO? Is it?
What Does AI Optimisation Entail?
How Do Large Language Models (LLMs) Work?
Why Work With Me?
This Is What It Looks Like Working With Me, According To My Clients
Frequently Asked Questions (FAQ)
Let's Get In Touch!
What Happens After Getting in Touch?

How is LLM Optimisation Different From “Traditional” SEO? Is it?

If you follow the traditional SEO playbook, you’ll most likely rank in AI positions, too. However, you may need to dig deeper than you’d normally do in your analysis.

In classic SEO, the primary goal is to rank higher in the SERP. In LLM optimisation, the goal is get our content (and brand) into the AI chat’s answer.

We do this by making our brand’s content get selected during RAG. This can be done by fitting the selection pattern as closely as possible, so your content gets chosen as the source.

LLMs tend to follow repeatable patterns for how they “search” and how they select supporting content. We align your content and technical setup to those patterns so your pages match what the model is looking for.

What does that mean in practice? We optimise content and technical foundations so your brand gets associated with the right topic-specific attributes. This helps the AI recognise your brand as an entity that is relevant to the problem your target audience is trying to solve.

The real goal is for the LLM to treat your brand as an authoritative source based on algorithmic signals. A source that offers unique, useful, relevant information – one that’s not commodity content.

We want to make sure the system can retrieve the information at a low cost. See? Classic SEO again: if something is hard to crawl or can’t be retrieved, won’t be featured in LLM answers.

What Does AI Optimisation Entail?

Query fan-out keywords

We analyse what keywords the LLM searches for during fan-out to understand: (1) which queries you need to rank for, and (2) which external sites/platforms you should be present on.

Cosine distance between content

We structure and configure content so that semantically related pages sit close to each other in the embedding space after. And that internal links shall reinforce the “entity image” AI systems build about your brand.

Omnimedia presence

To increase AI visibility, you need to show up across all relevant the platforms where your audience looks for answers: YouTube, LinkedIn, TikTok, Instagram, Reddit, etc.

Easy comprehension and retrieval

We make it easy for LLMs to understand your site, and to retrieve information efficiently. Tools here include semantic HTML, structured data, and content that is easy to vectorise. The aim is to minimise the cost of retrieval.

Measuring AI-driven traffic

Tracking AI search traffic is still a bit tricky, but not impossible. Google Analytics, Bing Webmaster Tools, custom reporting, and third-party tools can help.

Prompt reverse-engineering

The user–LLM interaction is a “black box”. But based on ranking data and measurement signals we can in theory reverse-engineer what users are asking and searching for during conversations.
(Currently in beta.)

How Do Large Language Models (LLMs) Work?

An LLM (Large Language Model) is an AI model trained on massive amounts of text to learn linguistic patterns and relationships. This allows it to understand, summarise, rephrase, and generate text in a natural, human-like way.

When an LLM receives a prompt (a question or instruction), it predicts the most likely next words/thoughts based on learned patterns. Many LLMs can also generate images, video, or music.

However, LLMs have limits. They may have large training data, but they don’t contain all currently available knowledge. And constantly updating its knowledge base is expensive, as the volume of new information in the World grows faster than any team can keep up with. Put simply: an LLM can’t always know everything.

So when the model doesn’t know an answer (or the answer is too complex), it runs a search (typically in Google), to supplement its internal knowledge with fresh information from the web.

This is the query fan-out. The model transfers the user’s prompt into multiple search queries, checks the top-ranking pages, extracts the most relevant “information nuggets” (a paragraph, a sentence, sometimes even an image), and then synthesises a final answer.

One of the biggest downsides of LLM-driven answers is that they increase the share of zero-click searches. Similarweb data suggests zero-click made up about 69% of Google searches in 2025.

Why does this number grow? Because as the user gets a summary right on the SERP, they don’t need to click through multiple websites to find the information. In Search Console, this often shows up as increasing impressions and decreasing clicks. There’s already a name to this phenomenon: The Great Decoupling.

The upside: appearing in AI answers can significantly boost brand awareness, that can later translate into more branded searches.

What Are The Most Popular LLMs?

The most popular LLMs include:

ChatGPT (OpenAI)
Claude (Anthropic)
Gemini (Google)
Perplexity
Copilot (Microsoft)
Llama (Meta)

In practice, it usually makes sense to focus on the first three. Based on my experience, most users primarily rely on ChatGPT, Claude, and Gemini.

There’s still time to optimise your content so LLMs can find it, and use it as a source in their answers. If you want help with that, let’s talk!

Worst case scenario, we’ll have a great conversation and you’ll walk away from the FREE CONSULTATION with a few pro-level SEO tips you can apply to your site immediately. Best case scenario? We kick off a collaboration that actually moves the needle.

Book my FREE consultation!

Why Work With Me?

Hello there!👋

Csaba Szabó is the founder of SEO Tailor, a freelance international SEO consultant. He’s a former Head of SEO and a BrightonSEO speaker, who has been working in SEO for nearly 10 years, in startup environment, agencies, and as a freelancer.

He understands how key stakeholders (owners, developers, copywriters, and everyone in between) think and operate on the client side. That means he can always find solutions that satisfy everyone’s needs, realistic to implement, and deliver strong results.

His goal is to help you achieve your international growth targets through SEO in a partnership that’s transparent, collaborative, and genuinely enjoyable to work in.

Recognized By The SEO Industry

I spoke at the following conferences in the last couple of years.

This Is What It Looks Like Working With Me, According To My Clients

„Csaba demonstrated exceptional professionalism, solid technical expertise, and a deep understanding of SEO best practices during the projects. Thorough analysis and research were always followed by careful planning, but he was also an indispensable help for us in the implementation, subsequent monitoring, and optimization. We are impressed by the double-digit growth in organic results, and there is no question that we would like to continue working with him.

Gábor HAMZAManaging Director, Leet Gaming Ltd.

„We have achieved significant results in SEO with Csaba in our partnership, which has lasted for more than six months. I would definitely not work with anyone else, because our collaboration has brought real expertise, meaningful help, and actual results. The SEO expert market is years behind Csaba in terms of professionalism. I can wholeheartedly recommend him to everyone!”

László LAKATOSOwner, Kardos Equestrian Center Ltd.

„If, like me, you enjoy working with people who demonstrate a passion for their profession, flexibility toward their clients, and maximum commitment to their projects, then working with Csaba will be a rewarding experience for you. These qualities are rare treasures these days.”

Éva SVIRZSOVICSHead of Marketing, Szallas Group

„We are very satisfied with Csaba’s work. He has extensive professional experience, and together we have achieved effective, measurable results. His consulting- and implementation work are outstanding; he not only shows the way, but also actively contributes to success. He is characterized by excellent communication, smooth cooperation, and proactivity, which greatly facilitates our work. I wholeheartedly recommend him to anyone looking for a professional and reliable SEO expert.”

István LACZKÓCEO, Könyvmolyképző Publisher Ltd.

„At horgaszhelyek.hu (ENG: fishing spots), we also have a strong SEO background, so we knew that we needed someone who’s experienced in the intricacies of technical SEO. We chose SEO Tailor because Csaba is one of the most experienced players in the SEO field on the market. He quickly understood the system, came up with effective solutions, and delivered tangible results. We wholeheartedly recommend him.”

Zsolt SZABÓCEO and Owner, Horgaszhelyek.hu

„I received a thorough analysis from Csaba, with concrete recommendations and clear explanations. He quickly grasped the specifics of the industry and our company, making our work together very effective and efficient.”

Anikó ZSARNÓCZIManaging Director, Wall Concept Ltd.

Trusted By Well-Known Brands

Frequently Asked Questions (FAQ)

How soon can you expect results from AI optimisation?

It depends.🙂 It depends mainly on how quickly recommendations get implemented, how many pages we’re optimizing, and the search volume behind your topics and keywords.

Because AI SEO (at least in the SEO Tailor workflow) is largely a test-and-validate work, timelines are even harder to predict than in “traditional” SEO. If we test strong hypotheses, run good experiments, and search volume is high, results can come quickly.

But it’s also realistic that meaningful improvements in AI visibility may take around ~4 months.

How can one measure AI visibility and performance?

This is still one of the biggest challenges in AI optimisation. But there are usable tools and workarounds already:
– Custom GA4 Exploration report (e.g., using a regex to identify LLM referral traffic),
– Search Console signals like clicks/impressions from branded searches (plus soon we’ll have the Search Generative AI performance report),
– Third-party tooling such as Peec AI, Semrush, or Ahrefs.

Is traditional SEO enough for AI visibility, or do you need a separate AI SEO strategy?

Yes and no.

Many AI SEO elements overlap with classic SEO (content structure, internal linking, content depth, rankings etc). The goal is still to rank in the top results.

At the same time, AI SEO often includes additional layers that traditional SEO doesn’t always cover deeply: semantic HTML, making text easier to vectorise, and cross-platform content distribution. In highly competitive spaces, these AI SEO-specific tasks become much more important.

What factors determine whether a brand shows up in AI answers?

Hard to answer in one sentence, but here are some key drivers.

When LLMs “search the web”, your brand needs to exist where they look: blogs, eCommerce sites, forums (e.g., Reddit), review platforms (e.g., Tripadvisor), and active social channels like YouTube, TikTok, Instagram, LinkedIn, etc.

Guest posting and brand mentions can help a lot. A backlink isn’t always strictly necessary; often the goal is simply to get your brand referenced. The more relevant places mention you (and the more consistently), the higher your chances of being included in AI answers.

Beyond brand presence, you also need unique, useful, niche-relevant content that must be labeled by Google as NOT commodity content.

Last but not least: you need clarity around what topics your brand is truly authoritative in.

How much does AI SEO cost?

I can only give a detailed quote after a proper assessment. To estimate hours accurately, we need to understand the project’s search potential, the project complexity, the opportunities, and what the actual work involves (e.g., new content production vs. optimisation only).

Final pricing depends on complexity, estimated hours, number of target markets, and your available budget.

In what type of collaboration can I work with you in AI SEO?

I only offer AI SEO as a monthly retainer service, with a minimum 6-month commitment.

What if I’m dissatisfied with the partnership early on?

If by the end of month 3 you feel the collaboration is more draining than helpful – no chemistry, not working well together, not the right fit – we end it immediately.

During the 6-month period, this option is available only once.

Can you work on multiple websites at the same time? How does that affect pricing?

Yes, I can work on two or more websites within one SEO collaboration. However, it’s not recommended – especially in AI SEO. We’ll need to split resources, which can also mean some sites won’t be actively worked on for certain months.

Pricing doesn’t increase proportionally if the sites share a very similar business focus. For two similar sites targeting roughly the same topics/keywords, it’s typically around 1.5× the monthly retainer fee of 1 project.

But if the sites have a completely different structure, audience, or sell entirely different products/services, that becomes two separate projects, and roughly double the fee.

Are your services also available in international SEO?

Yes, my services are also available as multilingual / international SEO projects. You can find the details on my International SEO service page.

What Happens After Getting in Touch?

First of all: I’ll reply in a couple of hours, max. 1 day. If in any unimaginable circumstances not (e.g. I’m out chasing crime in a cape), reach out to me via the e-mail address you’ll find after filling out the form!

We’ll talk through the project: your goals, the main tasks, and the potential in the project.

This is also where we both find out whether there’s real client–consultant chemistry between us.

Based on what we discussed, I’ll send you a tailored proposal.

It will outline the strategic direction I recommend, what to optimise first to reach results faster, and how you’ll receive the deliverables.

We’ll go through the proposal in detail.

This is where we lock in the scope, responsibilities, and the most important KPIs.

If everything looks good, we sign the contract and start the project. *whoop whoop!*

First step: I create a detailed SEO roadmap, including the priority task list and expected timeline.

Step 4 is especially important. This is where we align the SEO workflow with your business processes. This way we can involve every key stakeholder in the project and make sure the recommendations actually get implemented (not just documented).