When your client types into ChatGPT "recommended marketing agency for SMEs in Warsaw" — does your company appear? Most don't. Not because they're worse than the competition. Because AI models have never heard of them. Every month without AI presence means dozens of potential leads going to someone else.

GEO (Generative Engine Optimization) is a set of specific actions that make ChatGPT, Gemini and Perplexity start citing you. This article shows you how to do it step by step.

40%of B2B queries start with an AI model conversation
68%of ChatGPT users click the first 2 recommendations
39GEO audit points across 6 categories
6–12weeks to first Perplexity citations
GEO process visualization — from client query in AI to company appearing in results
GEO process visualization — from client query in AI to company appearing in results

Why invisibility in AI costs you more than you think

In 2025, over 40% of B2B queries start with a conversation with an AI model, not from Google. The buyer asks: "Which marketing agencies serve hair salons?" or "Who in Poland does SMS automation for small businesses?" — and waits for a recommendation.

AI models don't display ads. They recommend brands they "know" from training data and indexed sources. If your website doesn't meet LLM readability requirements — you're invisible to them.

Research shows: 68% of ChatGPT users click on the first 2 model recommendations. If you're not in those results, you're paying an invisible cost — the cost of alternatives that doesn't show up in any report.

Query flow diagram: client → AI → recommended companies
Query flow diagram: client → AI → recommended companies

Where does the problem come from? Most common causes of AI absence

GEO is a new discipline and most companies don't yet know it exists. Here are 5 reasons why AI models skip you:

  • No structured data (JSON-LD) — models read schema.org more literally than Google crawlers
  • Content without Q&A format — LLMs "learn" to answer, so they cite pages written in question-answer format
  • No E-E-A-T signals — unknown author, no date, no sources = low model trust
  • AI bots blocked in robots.txt — GPTBot, ClaudeBot and PerplexityBot must be able to crawl your site
  • No mentions outside your own site — models cite brands that appear in multiple places on the web

How GEO works in practice — Ad Plus 5-step process

Step 1: AI visibility audit (week 1)

We check 39 control points in 6 categories: structured data, content structure, crawlability, E-E-A-T, off-site signals and conversational format. Result: a priority list with specific impact on visibility.

Step 2: JSON-LD implementation (week 2)

We add Organization, Service, FAQPage and BlogPosting schemas with full author metadata. Schema validated in Google Rich Results Test — zero errors is the standard.

Step 3: Rewriting key pages in Q&A format (week 2–3)

Every important page gets an FAQ section with 5–10 questions phrased the way AI asks. The first sentence of each answer is a standalone, citable response for the model.

Step 4: Building off-site signals (week 3–4)

We create or update Wikidata entry, standardize NAP data in industry directories, initiate expert mentions in industry media.

Step 5: Monitoring and updates (monthly)

We check whether ChatGPT and Perplexity have started citing you. We update content quarterly — because AI models train on new data.

Ad Plus 5-step GEO process visualization
Ad Plus 5-step GEO process visualization — from audit to AI citations

Who needs GEO right now

  • B2B agencies and service companies looking for leads from AI recommendations
  • Local and regional companies — local AI recommendations are growing the fastest
  • Industries where the client compares 3–5 providers before contact — AI shortens this list to 1–2
  • Companies with a sales cycle over 2 weeks — AI builds trust before the client calls

Most common questions about GEO and AI visibility

Is GEO only for large companies with big budgets?

That's the most common myth. Small companies have a real advantage here: less competition for AI citations in local and industry niches. Basic GEO implementation takes 4–6 weeks, not years like classic SEO.

Can ChatGPT see my website?

GPTBot indexes pages, but only those not blocked in robots.txt. Indexing alone isn't enough — content must be written so the model considers it a valuable citation source.

How long before GEO shows results?

First citations in Perplexity and Gemini usually appear 6–12 weeks after implementing changes. ChatGPT trains on new data every few months, so full effects are visible after 3–6 months.

Do I need to write new content from scratch?

Rarely. In 80% of cases, it's enough to restructure existing content: add FAQ, rewrite leads to answer-first format, add JSON-LD schema. It's a few days of work, not months.

What happens if I don't do this?

Competition that implements GEO will get priority in AI recommendations for your industry. Reversing this situation takes much more time than preventing it.