I check how clearly your website describes you to AI —
and show you what to fix so AI says what you would say.
People ask before they call
More people skip the ten blue links and ask ChatGPT, Perplexity or Google AI instead. If you sell a service people compare before buying — a hotel, a workshop, a clinic, a manufacturer — that question about you is already being asked. You just never see the answer.
They ask what they always asked:
- Who does this?
- Who is nearby?
- What does it cost?
- Who should I consider?
And they get one answer. Not ten links to read through.
Your website was written for someone who already knows you
Someone who already knows what you do.
- A referral
- A partner who knows you
- Someone who typed the company name
A stranger with one question and three seconds.
- What do you do?
- For whom?
- Where do you operate?
- Why you?
An AI system reads the same page like a stranger with one question and three seconds. If the page does not say plainly who you are, the model guesses — in generalities, or it picks the company whose page said it plainly.
When an AI system describes your company, does your website give it enough clear information to get it right?
I don't optimise for one magic prompt. I make the website easier to understand
AI visibility is not a meta tag or a trick in the copy. It starts with a website that says plainly what the business is, answers customers' questions, has a readable structure and can be read by a machine — the same things that make it understandable to Google, to a screen reader and to a person landing on it for the first time.
The goal is not a website that sounds like AI. The goal is a business that is easy to understand.
- What do you do? clear
- Who is it for? vague
- Where do you operate? missing
- What makes you different? vague
- content
- structure
- entities
- schema
- crawlability
A company specialising in [a service] for [a customer group], operating in [a region]. It stands out for [a trait].
How AI finds your business
Most AI systems do not answer from memory: before writing a sentence about your company they search for and fetch pages, and build the answer from what they managed to fetch and understand (RAG). So what counts is not whether the model has "heard of" the brand, but whether your website can be found, fetched and cited. It is also why nobody can honestly promise a specific answer — what gets fetched is decided by the search layer underneath.
Pellets — signals · named dots — sources · walls — missing information · ghost — a problem · DATA — structured data
- 01
Discover
Does AI reach your website at all — can it be found and fetched?
- 02
Understand
Does it understand what you do, for whom and where — without guessing?
- 03
Trust
Does it have enough signals to treat that information as reliable?
- 04
Cite
Does it name you in the answer when a customer asks?
What I check in an AI Search Audit
Six areas, each with a concrete list of questions. The query set and the systems are written down in the report — not "the whole internet".
I test the questions your customers actually ask
There is no single AI ranking — there is an answer to a specific question. So the first thing I agree with you is the set of questions you want to be the answer to, and that set is the measure before and after.
- Who builds [service] for [industry] in Poland?
- What is the best [service] for a company like [brand]?
- How much does [service] cost?
- What should a company look for when choosing [service]?
- Which companies offer [service] in [city / region]?
- What makes [brand] different?
- Does [brand] handle [segment / use case]?
These are templates, not results. The actual set — usually 15–25 questions — is written for your industry and region, and the report lists it in full, together with the systems I checked it in.
What you get: a list of things worth fixing
Not a generic 40-page SEO report — specific changes to your website, in the order worth making them.
A website that AI can read is usually a better website for everyone
Clear content structures, semantic HTML, useful structured data, accessible pages and machine-readable versions are not AI-only features. The same things help search engines, assistive technologies and a person on a phone. That is why the audit's list rarely contains anything done for the models alone.
One caveat: an llms.txt file and Markdown mirrors are one asset in the architecture, not a visibility guarantee. The standard is new and not every model honours it. I ship them where they make sense and say plainly what they do and do not do.
- semantic HTML
- clear headings
- entity clarity
- structured data
- internal linking
- crawlability
- sitemap
- canonical URLs
- machine-readable content
- Markdown mirrors
- llms.txt where appropriate
I already build websites for AI search
The audit is based on the same principles I use when building websites: structured content, semantic markup, machine-readable pages, technical SEO and a frontend that stays out of the way. I do not need a slide deck to prove it — the page you are reading is built exactly this way, and you can check it in a minute.
It also means the audit can lead directly into implementation when the recommendations require code rather than another report.
Check it on this page
Append .md to this page's address and see what a model gets: the text alone, no navigation, no scripts. Every page on this site has one, and the build fails when one is missing.
ai-search-audit.mdAn index for models
A separate llms.txt in English and in Polish, generated from the site content rather than written by hand. The coverage check is part of the build.
/llms.txtI described the method publicly
A practical guide to AEO: llms.txt, structured data, content in answer format, measurement. No promises, concrete steps.
AEO — how to optimise a website for AIAsk AI about this site
Google AI and Perplexity describe spoko.space the way it describes itself — who, what, for whom, where, what sets it apart — because it says so plainly. One query in Perplexity shows it live.
Ask PerplexityShipped on a large site
A parts catalogue with thousands of pages: structured data, llms.txt, machine-readable versions. Search engines are its main source of traffic.
VW Polo 6R parts catalogue
An audit is useful. Fixing the website is better
Three paths after the report. You choose after reading it, not before.
I give you the roadmap
You take the findings and implement them yourself or with your own developer. The report is written so that works without me.
I fix the existing website
I handle the content and code changes within the current stack — WordPress, Webflow, Shopify, a hand-written site. No migration.
See pricing →I rebuild the foundation
When the CMS or the architecture is the problem, I move the website to a simpler stack: Astro plus a CMS built around how you work.
WordPress → Astro →How it works
How the audit runs: a small audit, not a giant consulting project
From the URL to the action list in about a week. No workshops, no 80-slide deck.
Send me your website
I start with the URL and a short description of what the business actually sells and to whom. That is enough to begin.
I define the query set
I agree with you a focused set of customer questions and the AI systems I will check them in. Written down, so you can come back to it.
I analyse the website
I go through content, structure, entities, technical access and structured data. By hand and with tools.
I compare the results
I document what is clear, what is missing and where the website creates ambiguity — with example answers.
You get the action list
Prioritised findings and concrete next steps. I walk you through them by e-mail, or on a call if you prefer.
AI Search Audit pricing: the audit, or the audit with implementation
Net "from" prices. The audit has a fixed scope: one company website and a defined query set. Quote within 24 hours.
AI Search Audit
One company website, a defined query set, a prioritised report.
- A set of 15–25 customer questions, agreed with you
- Checked in chosen systems: ChatGPT, Google AI, Perplexity, Gemini
- Content, structure, entity, structured-data and access review
- Findings with their place on the site and an example
- Priorities and concrete change recommendations
- A quote for implementation, no obligation
Audit + implementation
The audit plus an agreed set of website changes — in the content and in the code.
- Everything in the audit
- The agreed change list implemented in the current stack
- Content: answers added, pages restructured, entities made clear
- Code: structured data, crawler access, machine-readable versions
- The query set re-checked after the changes
- 30 days of questions after hand-over
Larger websites
Multilingual, multi-brand, catalogues and content-heavy sites.
- A query set per language, brand or product line
- More templates and content types to walk through
- A foundation rebuild when the CMS is the problem
- Staged: what blocks the most goes first
Multilingual, multi-brand or content-heavy websites are quoted separately — the query set and the number of templates grow, and I would rather not pretend one price fits everything.
FAQ
Frequently asked questions about the AI Search Audit
What is an AI Search Audit?
It's a focused review of how clearly your website represents your business to AI-powered search and answer systems. I check what those systems currently understand about you, where the website is ambiguous or silent, and what specifically to change — in the content, the structure and the code.
How much does an AI Search Audit cost?
An audit of one company website with a defined query set is from €249 net; the audit with the agreed changes implemented from €599 net. Multilingual, multi-brand or content-heavy websites are quoted separately. Quote and date within 24 hours.
What are GEO, AEO and LLMO — and is this that audit?
Three names for one field: generative engine optimisation, answer engine optimisation, large language model optimisation — the work of getting AI systems to find, understand and cite your website. This audit is a review of exactly that, without the acronyms: I check content, structure, structured data and crawler access, and you end up with a list of changes.
Is this the same as SEO?
No, though there is overlap. Classic SEO asks how a page ranks for keywords. This audit asks whether a machine can answer a customer's question from your website — and puts more attention on entities, direct answers, structured information and how a defined set of AI systems describes the business. Good work here usually helps SEO too, but it does not replace it.
Can you guarantee that ChatGPT will recommend my company?
No. AI systems use changing data, retrieval systems and models outside my control. I can improve the information and technical signals your website provides, and show the difference on a written query set. I cannot guarantee a specific answer or citation — and I would not trust anyone who promises one.
Is it worth it for a small local business?
Often the most, because questions about local services — "who nearby", "what does it cost", "who should I go to" — are exactly what people ask assistants. A small site has less to fix, so the list is shorter and the changes show sooner. If the site is so small the audit has nothing to look at, I will say so before quoting.
Do I need a new website?
Not necessarily. Sometimes the existing site has a few structural problems that can be fixed in a week. Sometimes the CMS or the frontend is the limiting factor — content rendered by script, crawlers blocked, no way to add structured data. The audit is there to tell you which situation you have before you spend money on either.
Do you need access to my website?
Usually I start from the public website and that is enough for the audit. Deeper technical checks — crawler logs, Search Console, CMS settings — need access, but I only ask for it once I know it will add something.
Which AI systems do you check?
The set depends on the project. Usually ChatGPT, Google AI (Overviews and AI Mode), Perplexity and Gemini, because those are what the customers of the businesses I work for use. I define a focused set around the tools and questions relevant to your audience rather than pretending every model behaves the same way. The list is written in the report.
Can you implement the recommendations?
Yes. I can handle the technical and content changes on the existing site or, when the foundation is the problem, help rebuild it on a more suitable stack. The "audit + implementation" bundle exists for that. No obligation: the report is written so it can be implemented without me.
What does the audit not cover?
I audit the website, not the whole internet. Directory listings, reviews, industry profiles and links from other sites are checked only as far as the AI answers draw on them — I do not build them and do not sell "authority building". There is no ongoing monitoring either: the audit is a snapshot on a date, with the query set written down, so it can be repeated in six months and compared. And there is no 0–100 score — a number that looks serious and says nothing about what to change.
How long does it take?
The audit of a typical company website takes about a week from agreeing the query set. Implementation depends on the list — most often another week or two. The date comes with the quote.
Did AI find you? Let's find out for real
Send me your website and the kind of customers you want to reach. I'll tell you what I'd check first and what an audit would cover.