nevernot turns their product data into an AI Champion in 2026 with VerifiedAnswers.ai

About nevernot
Founded by Katharina Trebitsch and Anna Kössel, nevernot is a modern brand from Germany which offers thoughtful and innovative intimate wellness products. The company became known for its soft tampons and has since expanded into skin care, lubricants, candles, wipes, and more intimate wellness items.
Originally a D2C brand, nevernot now drives significant revenue through e‑commerce while expanding into retail with partners like dm and Rossmann. As search behavior changed, nevernot saw something important: people were increasingly asking AI tools for product recommendations instead of searching the web in the old way.
nevernot realized that its product details had to be easy for artificial intelligence to understand, not just easy for people to read. To help with that, nevernot worked with VerifiedAnswers.ai.
The Challenge
As consumers increasingly rely on AI-assisted search tools such as ChatGPT and Gemini, customers were researching products inside AI systems before visiting brand sites. In a high-involvement category, this posed two key challenges:
- Reduced visibility: Customers found answers in AI ecosystems instead of brand websites.
- Limited differentiation: AI-generated responses often did not highlight unique product benefits.
Moreover, nevernots products are quite unique. They sell intimate care products that are just as natural and high-quality as skin care products. No shame, no kitsch, no compromises. The brand’s Soft-Tampons are for example very different from ordinary tampons, with a soft, flexible material and no string. Another product is the ‘Super Nice Foam’, which is an innovative alternative to normal wet wipes. So, these are products which might need some more information than AI systems can serve with available web data.
Our intimate wellness products such as lubricants, shaving care, butt foam, and soft tampons often raise many questions.
Katharina, Co-founder of Nevernot

But AI systems often rely on structured product information. Traditional product descriptions and Existing FAQs were static, written for traditional SEO or people visiting the website, and not structured for AI or linked to verified product identifiers. That meant AI tools might miss key facts about how nevernots products work, how they feel, or why customers like them.
nevernot knew this could become a problem. If AI systems didn’t understand the products, they would not recommend them correctly when people asked questions.
The Solution: Build a Knowledge Base for AI
nevernot decided to work with VerifiedAnswers.ai to solve this. VerifiedAnswers.ai helps companies turn information about products into structured data that large language models (LLMs) can read and use. For that, the brand wanted this structured knowledge to reflect how real people talk about intimate wellness, not just technical marketing language.
How It Worked: Turning Product Knowledge into AI-Ready Answers
nevernot had lots of product information already, for example:
- Product descriptions
- Packaging and ingredient information
- Internal knowledge from product teams
- Customer service insights
VerifiedAnswers.ai took all of this information and turned it into verified, structured FAQs. These FAQs were accurate, reliable, and written in the natural language that real customers use when they talk about products.
- Expert Verification: All questions and answers were reviewed by nevernots product experts, ensuring accuracy, brand alignment, and adherence to tone guidelines.
- GTIN-Based Distribution: Answers were linked to Global Trade Item Numbers (GTINs) from GS1, enabling e-commerce platforms and AI systems to associate verified content with the correct product.
- Living Knowledge Base: Instead of only creating FAQs once, nevernot could built with VerifiedAnswers.ai workflows to add new FAQ updates automatically. This approach means product knowledge stays fresh and useful for both humans and AI.
What nevernot immediately Gained
- Better AI Recognition of Products: AI systems now have structured, verified facts about nevernot products. This makes it more likely that AI tools will show the right information when someone asks questions about menstrual wellness, lubricants, or skincare.
- More Consistent Brand Voice in AI Answers: The information sounds like nevernot, not like generic text. That matters when recommendations are given through chat or voice interfaces.
- A Foundation for Future Challenges: As AI assistants become even more involved in shopping and product discovery, nevernot is already prepared with clear, trusted product data.
We are thrilled to be able to ensure that our products are more visible in AI results thanks to info.link VerifiedAnswers.ai. By using GS1 standards, we help both our customers and our retail partners answer complex or sensitive questions about nevernot products and find answers.
Katharina, Co-founder of Nevernot

Results & Impact
- AI Visibility: Pilot tracking showed improved presence and accuracy of nevernot products in AI-generated responses.
- Efficiency: Creating LLM-optimized FAQs now takes under a minute per product versus over an hour previously.
- Industry Recognition: nevernots AI readiness strategy was featured in Lebensmittelzeitung, highlighting AI visibility as a retail priority.
- Strategic Impact & Trend-Awareness: VerifiedAnswers.ai continuously updates content to address new consumer questions and trends various all industries.
Key Takeaway
Brands with e-commerce operations cannot ignore AI. Structured, verified FAQs linked to global product identifiers strengthen visibility, authority, and scalability in the next world of digital commerce.
nevernot did not wait for AI to create weak product facts for them or not being cited anymore, but owns their brand positioning and unique product truths for a strong AI visibility.
FAQFrequently Asked Questions
Author
Max Ackermann
Max Ackermann is Founder & CEO of info.link, a technology company based in Hamburg and Berlin, Germany. info.link helps brands turn products into smart, compliant digital touchpoints. Max has over 20 years of experience building digital businesses, leading McKinsey's Design and Corporate Venture teams across Europe. He has also built digital products and platforms with global brands like Nike, Google, Meta, and Airbnb. Max helps brands create GS1-standard Digital Labels to share Green Claims, Digital Product Passports, product information, promotions, and more. He is an expert in QR codes, green claims, EU regulations, multilingual digital labeling, and is a Fellow of the Higher Education Academy in the UK.


