AI Search & Semantic Commerce Search
Modern Commerce Search That Understands Customer Intent
Customers no longer search like they did 10 years ago. They expect your store to understand natural language, product attributes, and context, just like Amazon or ChatGPT. DBot Software builds AI-powered semantic search systems that understand meaning, eliminate empty results, and help shoppers find the right product instantly.
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/The Challenge/
Outdated Keyword Search Is Losing You Sales
Traditional search engines require exact keywords and struggle with synonyms, incomplete queries, misspellings, or conversational search. This leads to zero results, irrelevant listings, and frustrated users. Every failed search is a lost conversion, and stores underestimate how often this happens.
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Strict adherence to confidentiality
IP Rights Secured
All Intellectual Property belongs to you
/Our Approach/
Imagine a Search Bar That Thinks Like Your Customer
Imagine a user typing "running shoes for flat feet", "LEGO spaceship under 100 USD", or "ergonomic chair for home office", and getting perfect results. Semantic search interprets the meaning behind queries, maps them to products, and ranks them intelligently based on relevance and behavioral signals.
/Get Started/
Start Upgrading to AI Semantic Search Today
Share your catalog size, platform, and search challenges. We'll design a semantic search solution with clear timelines and ROI.
/What’s at Stake/
Avoid Black-Box Search Tools & Poor Ranking Logic
Off-the-shelf AI search tools hide their logic and produce unpredictable results. We build transparent, tunable ranking systems aligned with your business rules.
Talk to an AI Search Expert/Proven Results/
Trusted by Brands Scaling With AI Across 12+ Industries

E-commerce platforms, logistics companies, and marketplaces trust DBot because we deliver AI systems that work reliably in production.
Real Results From Smarter Search & Discovery
Clients see improved CTR, higher add-to-cart rates, fewer zero-result pages, and better customer satisfaction after switching to semantic search.
Frequently Asked Questions About AI & Semantic Search
Here are the key questions companies ask when upgrading their search experience.
Contact usHow is semantic search different from keyword search?
Semantic search understands meaning, intent, and context, not just exact text matches.
Do we need AI models for semantic search?
Yes. We use embeddings, vector search, and LLM-enhanced retrieval for high-quality results.
Can this work on Medusa, Shopify, or custom stacks?
Absolutely. We integrate semantic search with any headless stack or data source.
How long does integration take?
Most semantic search implementations take 2-6 weeks depending on catalog complexity.
Does AI search increase conversion?
Yes. Most stores see higher CTR, lower bounce rates, and more add-to-carts from search.







