Improve AI visibility: 5 steps for more recommendations

What is AI visibility?

These 5 steps improve AI visibility. These 5 steps improve AI visibility. AI visibility describes how frequently and accurately your brand is mentioned in answers by AI assistants. When someone asks ChatGPT: "Which online store do you recommend for outdoor equipment?" – is your store mentioned? With correct information?

This is the new dimension of online visibility. Beyond traditional Google ranking, it now also matters whether and how AI systems recommend you. This channel is growing rapidly: millions of users now make purchase decisions through AI assistants instead of Google.

Why you should act now

AI assistants are currently being trained on which sources to prefer. Those who optimize their AI visibility now gain a first-mover advantage – similar to SEO in the 2000s. Early adopters will be established as trusted sources, while latecomers will later have to compete against an already established AI perception.

Three concrete reasons why it is urgent:

• Zero-Click Trend: More and more search queries are answered directly by AI – without a click to any website. If you don't appear there, you lose traffic.
• AI-driven purchase decisions: Especially the 18–35 age group actively uses ChatGPT, Claude and Perplexity for product research and purchase advice.
• Competitive advantage: Most of your competitors haven't caught on to this topic yet. Those who act now have a clear head start.

Step 1: robots.txt check

Before you optimize anything, check: Are AI crawlers even allowed to read your website? If GPTBot, ClaudeBot or PerplexityBot are blocked in your robots.txt, everything else is ineffective.

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Step 2: Ist-Zustand messen

How visible is your brand currently to AI systems? Der AI Visibility Check analyzes five dimensionen:

• Web Basics: Meta tags, title, description, sitemap present?
• AI Files: llms.txt, llms-full.txt, JSON, YAML present?
• Brand awareness: Do AI systems know your brand?
• Product Knowledge: Can the AI name specific products?
• Recommendation potential: Wird your brand aktiv recommended?

The result is a score from 0–100 with specific actionable recommendations for every category.

Step 3: Schema.org optimize

Schema.org is the foundation for AI-readable product data. Check with the Schema.org AI-Score Checker whether your structured data is complete. The most common gaps:

• Missing ratings – AggregateRating is one of the most important factors for AI recommendations
• No availability – Without ItemAvailability AI may recommend out-of-stock products
• Incomplete Organization – Logo, contact, social links help AI categorize your brand
• Missing FAQPage – Frequently Asked Questions provide AI with ready-made answers

Der Schema.org Checker automatically generates missing markups as copyable JSON-LD code. → Detailed Schema.org Guide

Step 4: llms.txt generate

Now comes the crucial step: With the LLMs.txt Generator, create a complete AI data package for your website. The generator crawls your sitemap, detects your CMS, extracts Schema.org data and generates four optimized files:

• llms.txt – The main file in Markdown format with all relevant pages
• llms-full.txt – Extended version with product details and intent routing
• llms-data.json – Machine-readable version for programmatische KI-Zugriffe
• llms-meta.yaml – Semantische Tags and Metadaten

With the Product Drill-Down (Pro feature), the generator extracts real prices, ratings and availability from your product pages – exactly the data that AI assistants need for concrete recommendations.

Step 5: Validieren and testen

After uploading your files to the webroot, check with the llms.txt Validator whether everything is correct. The validator checks 10 criteria – from the H1 heading to Markdown links to token estimation.

Additionally, we recommend a manual test: Ask ChatGPT, Claude or Perplexity directly about your products. Observe over the next weeks whether the answers become more specific and accurate.

GEO vs. SEO: What is the Difference?

SEO (Search Engine Optimization) optimizes your website for Google rankings. Goal: Rank as high as possible in search results. Tools: Keywords, backlinks, technical SEO.

GEO (Generative Engine Optimization) optimizes your content for AI answers. Goal: Be correctly cited and recommended in answers from ChatGPT, Claude and Perplexity. Tools: llms.txt, Schema.org, structured data, robots.txt configuration.

Both disciplines complement each other. Good SEO also helps with GEO because structured, well-readable websites are better understood by AI. But GEO has its own tools and measures that go beyond classic SEO.