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Home/Services/Digital marketing agency/AI SEO

AI SEO: brand visibility in ChatGPT, Gemini and AI Overviews

Impressions in Search Console are growing, clicks are flat, and the answer to your customer's question came from a model, not from your site. As an AI SEO agency, we check what ChatGPT, Gemini, Perplexity and AI Overviews say about your brand today, which sources they take it from, and in how many answers you appear at all. We measure that one number every month, so after a quarter you have something to compare.

Measurement first, content second

Before we write anything, we ask the models what your customer asks and record who they name. Without that number there is nothing to compare after three months.

Four engines, not one

ChatGPT, Gemini, Perplexity and AI Overviews run on different language models and different sets of sources. A result in one tells you nothing about the others, so we study each separately.

Question coverage in four AI models and a list of gaps ChatGPT Gemini Perplexity AI Overviews in Google 3-4 weeks to the result of the AI visibility study
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Starting point

Why can a site with good SEO not exist for a model?

Four situations that come up in the first visibility study. None of them shows in Search Console, because it has no column for model answers. Until you count them, the questions in your category go to a competitor the model already names.

The model answers, nobody clicks

The query ends with a ready answer above the results. Impressions in Search Console grow, clicks stay flat, and it looks like a drop in CTR rather than a change in the market.

The model knows the category, but not you

Asked a question about your industry, it names three competitors. Not because they are better, but because their content is in a form the model can quote.

The model says outdated things about you

An old offer, an address that no longer exists, a price from two years ago. Models learn from copies of the web, and your site is not the only source.

Content written for people, unreadable for machines

The customer asks about one thing, and the answer is scattered across five paragraphs. A person pieces it together, a model does not. It quotes the passage that sits closest to the question, even if it is the weakest.

Let's start with measurement

You cannot know whether models know your brand until you ask them

The first stage is a visibility study: a set of questions from your category put to four engines, a record of what the models say about you today, and a list of facts to correct.

Definition

What is AI SEO?

AI SEO is the work of making your brand appear in the answer when someone asks a model about businesses in your industry, instead of three competitors whose content happens to be in a quotable form. AI is changing how people search for information: classic SEO built visibility in a list of results, while AI SEO combines traditional SEO work with optimising content for language models and building brand visibility in AI-generated answers. ChatGPT handles more than 2.5 billion prompts a day, and AI Overviews already appear for 29 per cent of queries in Google in Poland. It does not replace traditional SEO, it is a necessary extension of it into these two channels.

Sources: TechCrunch, ChatGPT 2.5 billion prompts a day, July 2025 · Senuto, AI Overviews in Poland, report v2.0

Measuring share of answers

You get a hard number: how often your brand appears in model answers, in what context and next to whom. Not an opinion, but a metric we track over time and that you can compare month to month.

Content in a quotable form

We write so that the model has something to quote: the question as a heading, the answer in the first sentence, figures with a source. Then it is your passage that lands in the answer, not a competitor's paragraph.

Structured data and a machine version

We organise the data about your business so the model has something to work with: Schema.org, a consistent entity, a text version of the site for crawlers. We know it works, because we do the same on our own site and can show it.

Two different games

AI SEO versus traditional SEO: how they differ

The same editorial work, a different unit of success and a different reader of the content. That is why one does not replace the other, it adds a layer.

AI SEO versus traditional SEO: how they differ
AspectClassic SEOAI SEO
GoalA high position in the list of resultsBeing quoted in the model's answer
Unit of successPosition, a place from 1 to 10Share of answers, the percentage of questions in which the brand appears
Reader of the contentA person clicking a linkA model choosing a passage to quote
Form of contentA page built around a keywordSelf-contained passages: the question in a heading, the answer in the first sentences
Structured dataMeta tags, heading hierarchyPlus schema.org, a consistent business entity, a text version for crawlers
MeasurementSearch Console, keyword positionsA set of test questions put to the models on a regular cycle
Data freshnessStable, rare correctionsNeeds the facts about the brand watched in external sources
Time to effectWeeks to monthsVaries by engine: AI Overviews and Perplexity faster, ChatGPT and Gemini over quarters
TrafficA click from the list of resultsOften no click, the value is in the mention and the citation
How it works

How do AI models judge content? Five things they check

Google's classic algorithm looks for keywords, links and technical signals. Language models such as ChatGPT, Gemini or Perplexity ask something else: does the page understand the topic and can it answer questions about it. That is the difference between classic SEO and AI SEO. There you optimised a sentence for a keyword, here you optimise a paragraph for a question, so that it can be quoted without the rest of the page.

A logical structure

Is the text divided into sections that can be processed separately, rather than one block with no structure. Pages with FAQ blocks, comparison tables and definitions are quoted more often.

Headings that say what is under them

A model reads a heading as a promise of what the passage contains. A marketing heading followed by something else lowers the chance of the whole section being quoted.

Specific facts, data and expert knowledge

A page full of general statements and advertising language does worse than a page that answers users' questions precisely, with figures and a source.

Consistency with other credible sources

The model compares what you say about yourself with what directories, reviews and media say about you. A mismatch ends with the brand being left out or described wrongly.

Recognition of the author or brand

Are the author and the business recognised in the field: bios, publications, mentions in industry sources. In classic SEO this signal was called E-E-A-T.

Scope of work

AI SEO services: what optimising for LLMs covers

This is not one change on the site. We work in five areas at once, because the model judges them together: content, page structure, structured data, access for crawlers, and what sources outside your site say about you.

Page structure and headings

A model reads a page from top to bottom and does not guess. The heading hierarchy, the division into logical sections and clean HTML decide whether it understands what the page is about at all.

Semantic content optimisation

The content has to answer the questions asked in your category, not circle around a keyword. After every larger change we check whether the model interprets the section differently from before.

Structured data and schema.org

We implement and audit structured data that gives the model standardised context about the business, the product and the service. This is what makes the facts about you unambiguous.

Technical optimisation for models

We check whether model crawlers reach the site at all and see the content: crawler access, content that does not require JavaScript, valid code, server response speed.

Building authority and mentions

We audit the external sources models draw on for knowledge about your brand, and work to make them tell the truth and to have more of them than today.

New visibility channels

ChatGPT, Perplexity, AI search and Google AI: where to grow AI search visibility

A few years ago it was enough to be in Google. Today a user asks ChatGPT, asks Perplexity for a recommendation and gets an answer in AI Overviews before they see the list of results. The visibility study covers the four engines listed in the pricing, and the ongoing work targets the six AI systems described below. We measure each separately, because they react at different speeds and draw on different sources.

ChatGPT

The largest AI chatbot in the world, more than 2.5 billion prompts a day. Users ask about products, services and business recommendations, and it builds the answer from the model's memory and from searching the Bing index.

Google AI Overviews and AI Mode

An AI answer above the classic results, already shown for 29 per cent of queries in Google in Poland. Visibility without a click, drawn from Google's current index.

Perplexity

A first-generation AI search engine. It quotes sources directly in the answer, so this is where you see fastest whether a page is fit to be quoted. That makes Perplexity SEO a good early test.

Google Gemini

Google's AI assistant, built into search, Workspace and Android. It runs on Google's index, so SEO work carries over to it fastest.

Microsoft Copilot

Microsoft's AI assistant built into Bing, Edge and Windows. It draws on the Bing index, which many businesses never look after.

Claude

Anthropic's AI assistant, popular with business users and in the technology sector. In B2B, this is increasingly where the first question about a supplier is asked.

How we work

From studying visibility in AI results to ongoing measurement

We do not start by writing content, but by checking what the models already say and where they get it from. We do not promise a place in a model's answer, because nobody controls it: not us, and not a supplier who makes such a promise. We agree on a number and on the work to change it over time.

  1. 1

    Visibility study in the models

    3-4 weeks

    The set of questions from your category goes to four engines, with each question asked several times so that the answer is not a fluke. The result: how often you appear, how often your competitors do, which sources are quoted and what the models say about you that is untrue.

  2. 2

    Making the brand data consistent

    from month two

    First, what can be fixed fastest: a consistent business entity in the structured data, up-to-date information in external sources, and cleaning up what the model finds about you outside your site.

  3. 3

    Content made for quoting

    ongoing

    Customer questions as headings, answers in the first sentences, figures with a source. The same work usually lifts classic SEO too, because Google has long been looking for the same thing.

  4. 4

    Monthly measurement

    ongoing

    The same set of questions asked on a regular cycle in a monitoring tool that you order separately, outside the PROFIT plans. This way the share of answers can be compared over time.

You know the process

You know how we work. See what the first stage costs

We quote after the visibility study, because only the study tells us how much work there is to do. The pricing and the scope of the packages are below.

Who it is for

Who sees results fastest from a place in AI answers

01

Online shops

A customer asks a model for a product recommendation instead of typing a keyword into Google. If your shop is not in that answer, you lose them at the choosing stage, not at the basket.

02

Service businesses

The questions sound like “a good marketing agency”, “a law firm for this case”, “a renovation company nearby”. The model names three businesses, and that is the whole list the customer chooses from.

03

Local businesses

Instead of browsing the map, the user asks the assistant for a garage or a restaurant nearby. The answer is built from local data, reviews and structured data, so these are what decide.

04

Blogs, portals and publishers

This is where AI Overviews take traffic fastest, because the user gets the answer without clicking the article. Keeping visibility today means being the source the model quotes.

In numbers

We measure it on ourselves, every week, in three engines

Visibility in model answers cannot be shown with one screenshot, because the answer changes with every query. What can be shown is a repeatable measurement: every week we put the same set of seven Polish-language buying questions about agencies to ChatGPT, Gemini and Google, and count how often our brand appears in the answer. Below is the reading from 2 September 2026.

21%

of ChatGPT answers to seven questions about agencies name JustIdea, roughly one in five

22%

of Gemini answers to the same questions name JustIdea

24%

of Google AI Overviews answers to the same questions name JustIdea, roughly one in four

Client reviews

The market promises a lot in AI SEO, we show ratings

The service is young, so promises are cheap, and there is nothing yet to compare us against: no rankings and no certifications in this field. What remains is how people have rated our work on visibility over the years. This is the only place on this page where JustIdea is not describing itself.

4.96 / 5

weighted average of 224 reviews across three platforms. Clients gave them, and each site below links to the profile with the full text of every review.

Read the reviews
Certifications and partnerships

AI SEO: the statuses that matter

For each one we set out what it gives in the work on visibility in the models.

Google Premier Partner

Google, top tier of the Google Partners programme

AI Overviews is a Google product and changes faster than its documentation. Partner status gives earlier access to information about changes in the results, and a route to ask questions when the search engine stops behaving the way it is publicly described.

Microsoft Advertising Elite Partner

Microsoft, partner programme of the advertising platform

Copilot and Bing search draw on the same index, and it is an index most businesses overlook. Partner status gives access to tools on Microsoft's side, including data on how that index sees your site.

Meta Business Partner

Meta, partner programme for Facebook and Instagram

Models also learn about brands from social profiles and from what people write about the brand there. Tidying up the profiles is part of correcting the facts, and partner status shortens the route when business data has to be fixed at the source.

Doubts before working with us

Four things we hear most often before a decision on AI SEO

„It is a fad, we will wait for it to settle”

Check in Search Console whether impressions are growing while clicks stay flat. If so, the change has already happened for you, and waiting means handing your place in the answers to someone else.

„This cannot be measured”

It can, just differently from positions in Google. We put a fixed set of questions to the models and count how often you appear and how often your competitors do. The same set repeated every month gives a time series.

„We already do SEO, surely it is the same thing”

Largely yes, and that is good news. The difference is in the form of the content and in structured data, so with SEO already in place this adds a layer rather than starting a new project from scratch.

„None of our customers buy through ChatGPT”

Usually they do not buy there, they choose who to contact. The model works at a stage before the purchase, and that is where it decides whose name comes up at all.

Where the service ends

How does this page differ from the pages on ChatGPT, Gemini, GEO and the AI Overviews audit?

Short answer

This page describes ongoing work on visibility in all engines at once. The pages on ChatGPT, Gemini and Bing describe one model and its one-off products, GEO looks at the same work from the side of implementing content, and the AI Overviews audit is a one-off check of where you stand in Google.

The names get mixed up because the discipline is two years old: GEO, AEO and AI SEO describe the same scope in practice. We split them into separate pages not to sell five services, but because each engine draws on different sources and is measured separately.

The first step is the same everywhere: a fixed set of questions from your category, asked many times, and a number showing how often you appear and how often your competitors do. Only the number of engines differs, and the price depends on it.

A comparison of ongoing work across all engines with one-off products for single models

This is the right page

  • You want to cover all models at once, with one share-of-answers report.
  • You already have SEO and want to add a layer for the models, not a new project.
  • You want measurement every month, not a one-off snapshot.

You need a different page

  • You are interested in one model: ChatGPT, Gemini, and Bing with Copilot each have their own page and their own products (Bing sits on the Bing SEO page).
  • You first want a one-off check of where you stand in Google: that is the AI Overviews audit.
  • You are asking about GEO as a method of working on content: that is the GEO page.

Sources: how AI features choose the sources they quote · how Google judges content that is helpful to people

How we price

What AI SEO costs

We start with a visibility study, because without it the rest cannot be priced honestly. Further work is a subscription and usually runs together with SEO, not alongside it. One-off products for single models are on the pages about ChatGPT, Gemini, GEO, Bing and the AI Overviews audit.

Recommended to start

Visibility study

What the models answer to questions from your category, who they quote and what outdated things they say about you.

Custom quote
net, a report from four engines
  • Included: a set of questions agreed with you, answers from ChatGPT, Gemini, Perplexity and AI Overviews asked many times, a list of quoted sources and a list of facts to correct.
One-off

Visibility monitoring

The same set of questions in a model-monitoring tool, with a reading of your brand's and your competitors' share. You pay once, for setup and the first reading.

from €250
net for setup, the tool subscription is paid by you
  • Included: choosing prompts tied to your offer, configuring the tool and a first reading for ChatGPT, ChatGPT Search, Gemini, Perplexity and Copilot. Correcting facts about the brand and content made for quoting go into a subscription quoted after the study.
Ongoing work

SEO plus AI

Classic SEO and visibility in the models run as one piece of work, because to a large extent they are.

Custom quote
net a month, subscription
  • Included: SEO with content to a plan, FAQ and linking, monitoring of keywords and of your brand's presence in language models, plus a Search AI report available online. An AI Overview audit in the second quarter, a brand visibility audit in ChatGPT and Perplexity in the fourth.

See SEO pricing

Knowledge

What has changed in search results since a model started answering in them

Three articles, in Polish, on what the results page looks like today and where models get the sentences they quote. Without them it is hard to judge what in this service is real.

SEO 28 April 2025 Ranking in AI Overviews Łukasz Zontek AI 15 January 2025 Google changes the rules: how to get visibility in AI Overviews Łukasz Zontek AI 10 July 2026 AI cannibalisation: a new SEO challenge in the era of AI Search and AI Overviews Wiktoria Podorska

All articles on AI in search

FAQ

AI SEO: questions before you decide

How does AI SEO differ from classic SEO?

Classic SEO competes for a place in a list of links, AI SEO for a place in the sentence a model writes instead of that list. The technical base is largely shared: the site has to be accessible to crawlers, fast and easy to understand. The difference is in the form of the content, in structured data, and in the fact that the effect is measured by share of answers, not by position.

How can I check whether ChatGPT knows my brand?

The simplest way is to ask the model a question your customer would ask and see whose names come up in the answer. A one-off test says little, because answers differ between sessions, so the study uses a fixed set of questions, repeated many times, and counts the brand's share of the results. Only that gives a number you can compare over time.

How long before the models start quoting my site?

The first changes in AI Overviews and in Perplexity usually show after six to twelve weeks, because both draw on the search engine's current index. ChatGPT and Gemini update what they know about brands more slowly, so there you count in quarters. Untrue facts about the business are the fastest to fix, because that is work on structured data and external sources, not on new content.

How much does AI SEO cost?

Prices start from €250 net, for setting up monitoring with the first reading (the tool subscription is paid by you). The visibility study across four engines and the ongoing work on brand facts and content, which runs together with SEO in the SEO + AI package, are quoted individually. One-off products for single models are described on the pages about ChatGPT, Gemini, GEO and the AI Overviews audit.

Can I influence what a model says about my business?

Facts yes, opinion only indirectly. An outdated address, an old offer or a wrong company name come from specific sources, and those sources can be corrected. A qualitative judgement, for example whose product the model considers better, comes from what others write about the brand, so it takes as long to work on as reputation does.

Which language models will my site be visible in?

We work on six systems: ChatGPT (OpenAI), Google AI Overviews and Gemini, Perplexity, Microsoft Copilot and Claude (Anthropic), and add Mistral and Meta AI when needed. We do not rank the site in the sense of links in results: we work to make the content recognisable, logically structured and quotable for systems that generate an answer from the context they have understood. We measure each engine separately, because they react at different speeds.

Should I block AI crawlers in robots.txt?

It is a business decision, not a technical one, and for most businesses the answer is no. Blocking protects the content from being used to train models, but it also removes the brand from answers in which it could be quoted. Blocking makes sense where the content is the product sold for access, not where the content is meant to bring in customers.

AI SEO: what to know before you start

Four engines and four different behaviours

AI Overviews in Google and Perplexity draw on the search engine's current index, so they react to changes on the site within weeks. ChatGPT and Gemini mix knowledge from the model with live search, in proportions that change between versions. The work on each looks different, which is why the study is done separately for each.

Why impressions grow while clicks stall

This is the most common signal that brings businesses to this page. The model's answer above the results satisfies the question and the user does not scroll further. A better title will not fix that, but you can make sure your name appears in that answer, with a link to you as the source.

Content a model can quote

A model quotes a passage, not a page, so the passage has to stand on its own: the question in the heading, the answer in the first two sentences below it, a figure always with a source and a date. This form also lifts classic SEO, because Google has been looking for exactly the same thing since it introduced featured snippets.

GEO, AEO, AI SEO: three names for one job

Generative Engine Optimization, Answer Engine Optimization and AI SEO describe the same scope of work in practice. The naming is not settled, because the discipline is two years old. Ask a supplier not about the name, but about how they measure the effect: that is the only place where you can tell work from a story.

AI SEO from Kraków, for clients in Poland and abroad

Our office is in Kraków, and visibility in the models is by nature independent of location, so we work with businesses from all over Poland and from foreign markets. The exception is local businesses: there the models draw on the Google Business Profile and on reviews, so the work starts with those two things, not with the content on the site.

Other services

Pages on single models and on the one-off audit

AI SEO on this page covers all engines at once. If you care about one model or a one-off check of where you stand, one of the four pages below is the right one, each with its own scope and its own quote.

ChatGPT SEO

We measure whether ChatGPT quotes your brand and grow its visibility in the language model's answers.

View ›

Gemini SEO

We grow brand visibility in Gemini and in AI Overviews: measuring share of answers, technical SEO, structured data and content written for language models.

View ›

GEO

Generative Engine Optimization: we implement GEO so that your brand is quoted in AI answers (Google AI Overviews, ChatGPT, Perplexity).

View ›

AI Overviews audit

We check where in your category Google answers on its own, who it quotes in that answer and what is missing for it to quote you.

View ›

Let's start by checking what the models say about you today

We put a set of questions from your category to four engines and show how often you appear, how often your competitors do and what in those answers is out of date. The study takes 3-4 weeks and is quoted before we start.

The brand's share of answers in three engines set against competitors, different in each
Check your AI visibility The first call is free and without obligation
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The call is led by a new business specialist. When we get into the details of an account, the specialist for that channel joins in. We reply within one business day.

A quick review of your tracking and campaignsThree priorities for the next quarterA written summary that stays with you

Before the meeting we review your website, your visibility and what your campaigns show from the outside. We will not open with “so, what does your company do?”.

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