info.link launches VerifiedAnswers.ai to achieve peak AI visibility & readability for your product data (GEO)

info.link launches VerifiedAnswers.ai for AI-driven sales

Product discovery has changed fundamentally. We’ve entered the era of AI-assisted commerce: McKinsey projects that by 2028, USD 750 billion in consumer spend will flow through AI assistants, and today roughly half of consumers already use AI-powered search to help make purchasing decisions.

For brands, this raises a direct question: who controls your product data in AI?

When a consumer asks a chatbot whether your product fits their specific needs, the model generates an answer based on its training patterns and whatever information it can access. Without a dedicated semantic layer, brands risk incorrect outputs (“hallucinations”), or simply losing visibility to competitors whose data is better structured and easier for AI systems to interpret.

Today we’re launching VerifiedAnswers.ai to give brands the tools to take back control.

From 500 million digital labels to the missing data layer for AI

Our journey didn’t start with chatbots. It started on the store shelf. At info.link, we digitised more than 500 million product packages in 2025. As a leading Digital Labels solution built on the GS1 Digital Link standard, we’ve spent years turning physical products into smart, digital touchpoints.

Through that work, we kept hearing the same urgent question from CMOs and CDOs: “How do I make sure my product data stays visible and accurate in AI search and chatbots?”

We realised that the “Universal Product Truth” we built for Digital Labels is the same infrastructure AI systems need. VerifiedAnswers.ai is the natural evolution of that mission: moving from the physical label to a semantic data layer that helps ensure your products are explained accurately across AI channels (AI chatbots and AI search) from ChatGPT and Gemini to retailer bots like Amazon Rufus and dm-KI.

The product data layer for AI-assisted commerce

FAQs are one of the strongest levers brands can use to improve AI visibility. VerifiedAnswers.ai follows a rigorous Signal-to-Source approach to turn your product facts into AI “superpowers”:

• Discover real intent (the Signal): We analyse over 100,000 real consumer data points across social media, communities, and reviews to identify what shoppers in your category are actually asking AI.
• Verify factual truth (the Source): We ground every answer in official brand sources – packaging, data sheets, and direct brand input – to reduce hallucinations and provide auditable provenance.
• Deploy at scale (the Format): Our system formats those truths into “Perfect Product FAQs”: 40–60 word responses with hard-coded GTIN identifiers and best-in-class schema markup.
  

Beyond FAQs: the future of comparative intelligence

Verified FAQs are the foundation, but AI-assisted commerce is quickly moving beyond simple Q&A. AI assistants increasingly behave like personal shoppers: they rank, compare, and recommend products based on specific attributes.

We’re already expanding the VerifiedAnswers.ai infrastructure to support the next generation of semantic data:

• Semantic ranking logic: Helping AI models understand why your product deserves the #1 spot in ranked recommendation lists, backed by one-sentence justifications an LLM can cite.
• Attribute-level benchmarking: Providing the machine-readable data AI needs to generate instant comparison tables. Whether it’s dosage per serving, specific material forms, third-party certifications, or price-per-unit metrics, we ensure your product’s “hard specs” become the benchmark the AI uses to evaluate the category.
  

Why brands can’t wait

Most product data today isn’t ready for this shift. Maintaining AI-optimised content manually across a portfolio of products or services isn’t realistic and it quickly turns into a recurring drain on time and resources.

VerifiedAnswers.ai turns your product facts into structured, machine-readable answers that can be deployed consistently at scale. Just like with search engine optimisation 20 years ago, the early movers shape the “default” answers customers see; late adopters will spend their time correcting an already-established narrative.

Visit VerifiedAnswers.ai to start the conversation and ensure visibility and accuracy in AI.