Short answer: A one-time GEO/AEO analysis costs between €490 and €1,200 — depending on scope and competitive situation. Ongoing monitoring runs €150–350/month. ROI shows up within 2–4 months through measurably more visibility in AI answers.
What's included in the GEO optimization price?
GEO optimization (Generative Engine Optimization) isn't a single tool — it's a process with several layers. That's why prices vary a lot depending on what's actually being done:
1. Technical GEO foundation (one-time, €200–400)
These are the technical prerequisites for AI systems to even find and read your website:
- robots.txt — AI crawlers (GPTBot, ClaudeBot, PerplexityBot) must be explicitly allowed
- Schema.org markup — Organization, Service, FAQ, Article, BreadcrumbList
- llms.txt — a new file that gives AI systems structured context about your company
- Technical page check: load time, HTTPS, mobile display
This foundation is set up once and maintained as needed afterward. Cost: €200–400 for implementation.
2. GEO/AEO analysis (one-time, €490–800)
A systematic check of how well you're represented in AI answers:
- Audit in ChatGPT, Perplexity, Claude, Google AI — with concrete test questions from your industry
- Competitor comparison: which competitors get recommended, and why?
- Content analysis: which content types are missing that AI systems prefer?
- External signals check: directories, third-party sources, mentions
- Prioritized PDF report with concrete actions
3. Content optimization (one-time or ongoing, €300–600)
AI systems prefer certain content structures — direct answer blocks, FAQ sections, statistics with source citations. Content optimization means:
- Restructuring existing pages: definition blocks, direct H2 answers
- Writing FAQ sections (4–6 natural questions per page)
- Integrating statistics and source citations
- Making authorship transparent (author bio)
4. Ongoing GEO monitoring (€150–350/month)
AI visibility isn't a "set it and forget it" — models get updated, competitors optimize, new channels emerge. Ongoing monitoring includes:
- Monthly measurement of AI visibility (ChatGPT, Perplexity, Claude)
- Competitor monitoring: who's gaining visibility, who's losing it?
- Content updates based on crawling data
- Bi-weekly progress report
GEO optimization vs. SEO: where's the ROI higher?
That's the wrong question — GEO and SEO aren't alternatives. But the comparison helps with prioritization:
| Criterion | GEO/AEO | Classic SEO |
|---|---|---|
| Entry investment | €490–1,200 | €1,500–3,000/month retainer |
| First effects | 4–8 weeks | 3–9 months |
| Target channel | ChatGPT, Perplexity, Google AI | Google organic |
| Synergies | Reinforces SEO authority | Can increase GEO visibility |
| Measurability | Directly measurable (AI audit) | Rankings, organic traffic |
Who benefits most from GEO optimization?
GEO/AEO delivers the strongest ROI for:
- Service providers with complex questions — tax advisors, lawyers, business consultants, coaches. People ask ChatGPT complex questions and get direct recommendations.
- Local B2B providers in DACH — being the first well-optimized provider in a region gives a significant first-mover advantage.
- Companies already running ads — GEO complements paid media: showing up in AI answers means higher conversion rates, because users arrive already informed.
- Market leaders defending market share — once competitors start optimizing, it's too late to start from scratch.
What are the most common cost traps with GEO?
- Agencies that are too broad — many SEO agencies offer "GEO" but really mean SEO with different keywords. Ask: how do you concretely measure AI visibility?
- A single blog post labeled "GEO" — a blog post with schema markup is good. But GEO is a process — technical foundation, content, external signals, ongoing monitoring.
- Guarantee promises — nobody can guarantee that ChatGPT will recommend you. Anyone who promises that isn't credible. What's measurable are the optimization factors — not the outcome after the next model update.