AiVisible
AI SEO

AI SEO - one strategy for Google results and AI-generated answers

Ranking position no longer describes the whole of a brand's visibility. We measure how a brand performs in classic search and in AI answers, then build a single programme that serves both.

2

Channels measured together

1

Category to start with

Full

Answers recorded

The problem

Why ranking alone no longer describes visibility

Search results and generated answers now sit in the same buying journey.

AI Overviews absorb part of the research

A generated answer can end part of the research without a click on a classic result. A high ranking therefore describes only a portion of a brand's visibility.

Buyers combine Google with assistants

Buyers move between search engines and AI assistants inside one selection process. A strategy measured only by organic positions cannot see presence in generated answers.

You need a dual strategy

SEO alone is no longer enough. Companies that combine conventional search work with optimisation for AI systems build an advantage that compounds over several years.

Comparison

Conventional SEO vs AI SEO

Two different approaches that work best together.

Aspect
Conventional SEO
AI SEO
Objective
A position in the Google results list
The brand named in an AI-generated answer
Result format
A list of links with meta descriptions
A written answer containing recommendations
Key factor
Backlinks, on-page SEO, Core Web Vitals
Citability, demonstrated expertise, third-party mentions
Verification
Positions, traffic and conversions
Complete answers, citations and a versioned method
Success metric
SERP position, organic traffic
Share of Model, frequency of mentions
Volatility
Driven by the index and the algorithm
Driven by the model, the mode and the question context

How we work

Three steps across both channels

01

Baseline in AI and in Google

We assess visibility in conventional search and in ChatGPT, Perplexity, Gemini and Claude, then identify the gaps and the opportunities.

02

Optimisation for models and search engines

We implement changes that work on both fronts: citable content, structured data, E-E-A-T evidence and third-party mentions. One strategy, two channels.

03

Monitoring and development

We measure visibility in Google and in AI systems across an agreed scope, documenting positions, complete answers, citations and the next experiments.

Qualification

Is AI SEO the right next step?

AI SEO builds on an existing search foundation. It is not a replacement for one.

When this makes sense

  • You already run SEO and want to protect traffic and leads against changes in AI Overviews.
  • You need one strategy that covers Google, ChatGPT, Perplexity, Gemini and Claude.
  • You have expert content that can be restructured into citable answers and comparison tables.
  • You want to report positions, CTR, Share of Model and mention quality side by side.

When it is too early to start

  • You want to replace SEO with a new label instead of connecting both channels.
  • You lack technical SEO foundations, indexable pages or a clear content architecture.
  • You do not plan to measure results or refresh content after SERP and model changes.
  • You only need a paid campaign with immediate traffic.

FAQ

Questions about AI SEO

Conventional SEO optimises for Google's ranking algorithm - you compete for a position in a results list. AI SEO optimises for language models such as ChatGPT, Perplexity, Gemini and Claude, which generate written answers containing recommendations. That requires a different emphasis: citability, demonstrated expertise, specific data and facts rather than classic link building.

No - the two are complementary. Conventional SEO still delivers traffic from Google. AI SEO delivers visibility in ChatGPT, Perplexity, Gemini and AI Overviews. The strongest strategy combines both, because many signals - expertise, citable content, structured data - work on both fronts.

The category-fit assessment is free. An AI Visibility Snapshot is PLN 1,500-2,900 net, a strategic audit PLN 2,900-4,900 net, an AI Recommendation Sprint PLN 8,900-19,900 net, and continuous monitoring PLN 2,900-7,900 net per month.

There is no universal timeline. Pace depends on indexing, the sources a model can reach, the scope of the changes and model updates. We agree the date of the next measurement wave after the audit and implementation rather than promising a result in a fixed number of weeks.

Primarily B2B companies where the purchase decision is expensive and needs verification: software and IT firms, law firms, agencies, accountancy practices, consultancies and clinics. Anywhere a buyer may ask an AI system for recommendations before contacting a supplier.

You can start on your own with a handful of buyer questions, recording the complete answers, the date, the market and the sources cited. Reliable measurement then requires a stable protocol, explicit coding rules and a comparable scope over time.

Next step

See how your brand performs across search and AI answers

Start with a free category-fit assessment. Full measurement and benchmarking are delivered through a Snapshot or a strategic audit.

0 PLN · Fit assessment, without a promise of a full report

Review engagement stages