Turn product pages into 1:1 conversations and get discovered on AI search engines.
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Connect your Shopify store. Twini instantly learns your catalog, policies, and brand voice.
Turn product pages into 1:1 conversations that convert 8% of engaged shoppers.
Convert chat insights into structured product data to boost visibility on AI search engines.
Fler converted 7.3% of 11,000 unique conversations, driving €30,500 in sales in 6 months.

Casaraki converted 9% of 1,820 unique chats, driving €24,000 in sales in 4 months.

Viron converted 8.8% of 2,500 unique chats, driving €25,000 in sales in 2 months.
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This Unique engaged 1,260 unique visitors and converted 8.3% of them in a sale in 3 months.



Trusted by top brands across the globe.
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Twini learns from your Shopify store, knowledge base, and brand assets to speak in your voice and master your products.
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Twini turns PDPs into generative 1:1 experiences, adapting their content in real time for each shopper to drive 8% CVR.
Twini uses real shopper conversations to enrich your product data, making your brand discoverable in AI search engines.
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A plan that grows with your store.
Our AI engineers handle the entire setup, training, and custom integration to match your brand's UX in 24 hours.
Subscription based strictly on unique shoppers who engage. You are not charged per LLM query or reply.
Subscription tied to the number of Product Pages (PDPs) you want to optimize for AI search engines.
Standard chatbots (like Gorgias, Tidio, or Zendesk) are reactive support tools designed to deflect tickets after a purchase. Twini is a proactive AI Sales Agent that lives on the Product Detail Page (PDP). Its primary goal is to close sales by detecting purchase intent, answering pre-purchase objections, and guiding undecided shoppers, converting them at a benchmark conversion rate of 8%.
Twini transforms your store’s unstructured data into a machine-readable knowledge layer. It ingests your catalog, knowledge base and shopper conversations to build rich Structured Data (Schema Markup). This ensures your products are correctly indexed and recommended by AI search engines (LLMs) like ChatGPT, Perplexity, and Google’s AI Overviews, which rely on structured data (FAQs, reviews and product snippets) rather than just keywords.
Conversational Commerce moves the user experience from a static monologue to a dynamic dialogue. Instead of forcing a visitor to read a generic wall of text, Twini allows them to ask specific questions (e.g., "Will this fit a 15-inch laptop?") and receive instant, accurate answers tailored to their intent, keeping them engaged until they buy.
Twini automatically updates your JSON-LD Structured Data based on real questions shoppers ask. By dynamically injecting relevant Q&A content into the page code, we optimize your products for Google Rich Results (Snippets) and improve ranking for long-tail conversational queries that competitors often miss.
Yes. While Twini is optimized for sales, it handles standard support queries (returns, shipping, etc.) by connecting to your backend order data. It effectively deflects repetitive tickets from your human support team, freeing them to handle complex issues while Twini handles the pre-purchase sales flow.
Twini uses a strict RAG (Retrieval-Augmented Generation) framework rooted in your specific brand data. It is restricted to answering based only on your approved catalog, policies, and reviews. If it does not know an answer, it defaults to a safe fallback or human escalation rather than inventing false information.
Data from active merchants shows that shoppers who interact with the Twini sales agent convert at an average rate of 8%, significantly higher than the standard e-commerce industry average of 1.5-2%. This uplift comes from resolving hesitation points (sizing, ingredients, shipping) instantly without the user leaving the page.
GEO is the process of optimizing content to rank in AI-generated answers rather than traditional Google blue links. Twini solves this by converting "static" product pages into semantic sources of truth. It turns real shopper questions into structured FAQ Schema and high-authority metadata, making it easier for LLMs to cite your brand as the best answer for specific user queries.
Yes. Shoppers ask questions in natural language (e.g., "running shoes for flat feet under $100"). Twini captures these exact phrases and injects them into the page's metadata and content structure. This allows the store to rank for specific, high-intent search queries that are too specific for traditional keyword strategies.
Twini captures data directly from the customer's own words. When a user asks "Do you have this in vegan leather?", they are explicitly stating a preference. Twini records these intent signals (Zero-Party Data) and syncs them with your analytics, allowing you to build precise customer segments based on actual desires rather than just click behavior.
Yes. Twini acts as a continuous feedback loop. It analyzes conversation logs to identify "Unanswered Questions"—specific details shoppers look for but cannot find in your description. This highlights exactly where your content is failing, allowing you to fix conversion blockers that are causing drop-offs.
Yes. Through its Adaptive Description capabilities, Twini can highlight product benefits relevant to the user's previous interactions. If a user previously asked about durability, the AI emphasizes materials and warranty on their return; if they asked about style, it emphasizes aesthetics, increasing the relevance of the page for that specific individual.
No. The Twini widget loads asynchronously, meaning it does not block the main browser thread or delay the First Contentful Paint (FCP). It is engineered to have zero impact on Core Web Vitals (LCP/CLS), ensuring your site speed and mobile performance remain optimized for Google rankings.
Twini utilizes a "Zero-Shot" setup for Shopify. It instantly ingests your product feed, policies, reviews, and descriptions upon installation. The AI is ready to answer customer questions accurately within minutes, without requiring weeks of manual training or intent mapping.