What results can I expect?

As of September 2026, the products we optimize reach an average AI-Readiness score of 75.7, an AI visibility of 63.6% (mention rate in AI answers) and a content completeness of 93.5%.

How LLM Optimization Works

Facts, not promises

Real data from our Knowledge Pack measurements (as of: September 2026)

See Live Demo

What we generate for your product pages

6 structured components we publish on your product pages

Structured Data

Extended product attributes for better AI comprehension

Brand, Model, Capacity, Power, Material, Features

FAQs

Most common customer questions with detailed answers

5-10 questions per product

Use Cases

Concrete scenarios for product usage

3-5 use cases per product

Troubleshooting

Common problems with concrete solutions

3-5 solutions documented

Care Instructions

Maintenance and care with frequency specifications

Daily, Weekly, Monthly

Accessory Recommendations

Matching additional products and spare parts

4-6 recommendations per product

Where is this data published?

All Knowledge Pack components are published directly on your product pages in your shop system (Shopify, WooCommerce, etc.). This allows AI systems like ChatGPT, Perplexity and Google to find and use this structured information when crawling your website.

Scientifically Founded

How we measure impact

Data-driven analysis instead of gut feeling. We continuously measure how well your products are found and recommended by AI systems.

15 AI tests per product

Every 6 hours automatically

We simulate real user queries to ChatGPT, Perplexity and Claude. From specific feature searches to problem-solving queries: we test whether your product gets recommended.

Feature searches ("Coffee machine with timer")
Problem solutions ("Coffee tastes bitter")
Use cases ("For office with 10 people")

11 performance metrics

Per measurement

Each measurement analyzes 11 different quality dimensions. From AI-Readiness to Semantic Similarity to Natural Language Quality.

AI-Readiness Overall score

AI-Visibility Mention rate

Semantic Similarity Embeddings analysis

Content Quality 8 more metrics

120 data points per month

Automatically measured

Instead of one-time snapshots, we continuously capture performance data. This way we see real trends and can validate optimizations.

Measurement interval: 6 hours

Per day: 4 measurements

Per month: 120 data points

Self-optimizing AI

Automatically active

Our system automatically detects when a product doesn't show expected performance. Failing products receive adaptive prompts for better results.

Failing detection at <5% improvement
Recovery prompts for better quality
Continuous improvement without intervention

Scientific methodology

How we measure

Embeddings analysis

OpenAI text-embedding-3-small for Semantic Similarity. Cosine Similarity between query and content chunks.

Readability scores

Flesch Reading Ease for Natural Language Quality. Keyword Stuffing Detection, Passive Voice Ratio.

Structure analysis

Information Hierarchy (pyramid structure), Chunk Relevance (paragraph length, subheading density).

Real results from our optimizations

Average values from our Knowledge Pack measurements (as of: September 2026)

AI-Readiness Score

Average of our optimizations

AI Visibility

AI mention rate

Content Completeness

Data completeness

These average values are based on real measurements of our Knowledge Pack optimizations. They show aggregated, anonymized results.

Before/After: Coffee Machine Example

Example

See concretely how we optimize product data for LLM systems

Before

Coffee Machine XY-3000

Modern coffee machine with timer function. 1.5L water tank. Black. 1000W.

Price: €89.99

AI-Readiness:

AI-Visibility:

Completeness:

45%

After

Coffee Machine CoffeePro XY-3000

Brand: CoffeePro

Capacity: 1.5L (10-12 cups)

Features: Timer, Auto-Off, Keep-warm plate

+ 5 FAQs • + 3 Use Cases • + Troubleshooting

AI-Readiness:

AI-Visibility:

76%

Completeness:

92%

What was optimized? Click for details:

Brand: CoffeePro

Model: XY-3000

Capacity: 1.5L (10-12 cups)

Power: 1000W

Color: Black

Material: Stainless steel/plastic

Timer: Programmable up to 24h

Auto-off: After 40 minutes

How many cups can I brew?
With a 1.5L capacity you can brew 10-12 cups of coffee.

Can I program the timer?
Yes, the 24h timer lets you program the brew time up to 24 hours in advance.

Does the machine switch off automatically?
Yes, the auto-off function switches the machine off automatically after 40 minutes.

What filters do I need?
Standard 1x4 coffee filters or the included permanent filter.

Is the carafe dishwasher-safe?
Yes, the glass carafe can be cleaned in the dishwasher.

Family Breakfast
Perfect for 4-6 people. Program the timer in the evening and wake up to fresh coffee.

Office Meetings
Ideal for small teams. The keep-warm plate keeps coffee warm for up to 40 minutes.

Guest Visits
Quickly prepare coffee for 10-12 guests. Elegant design fits any table.

Coffee tastes bitter
Solution: Reduce the amount of coffee or shorten the brew time. Recommended: 60g coffee per liter of water.

Water doesn't flow through
Solution: Descale the machine with vinegar water (1:1) or a special descaler. Run 2-3 cycles.

Timer doesn't work
Solution: Check that the clock is set correctly. Unplug for 30 seconds and restart.

Daily
Rinse the carafe and filter after each use. Wipe down the keep-warm plate.

Weekly
Clean the water tank and exterior surfaces with a damp cloth. Rinse the permanent filter thoroughly.

Monthly
Descale the machine with vinegar water or descaler. Repeat every 2 weeks with hard water.

Permanent Filter
Reusable, eco-friendly

Descaler
Special descaler for coffee machines

Thermal Carafe
Keeps coffee warm for 6h, 1.5L

Replacement Glass Carafe
Custom fit for XY-3000

Free Website Analysis

Test your own products

Get a professional AI-Readiness Report for your shop. We analyze up to 10 product pages, identify optimization potential and show you concrete action recommendations.