Technical capabilities
Technical decisions translated into C-level language: LLMs vs. ML, RAG, fine-tuning, agents, computer vision, RPA. When to use each tool and at what cost.
How Artificial Intelligence Is Transforming E-Commerce in Mexico
AI is transforming Mexican ecommerce on four fronts: WhatsApp + AI (the country’s #1 channel), dynamic pricing adjusted to the local market, fraud scoring for LATAM cards, and conversational support 24/7. Stores that ado
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How Machine Learning Is Changing the Game in Ecommerce: Machine Learning in Ecommerce
Machine learning in ecommerce moves the needle in four areas: contextual recommendations, dynamic pricing, fraud scoring, and demand forecasting. The difference between ML that works and ML that costs: clean data + clear
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How to Improve the User Experience in Your Ecommerce with Chatbots
Chatbots improve the ecommerce UX when: 1) they’re trained on your catalog (RAG), 2) they perform real actions (check an order, apply a coupon), 3) they escalate to a human with context when they can’t help, 4) they lear
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eCommerce Chatbots: How to Implement Them to Improve the Customer Experience
Implement eCommerce chatbots in 4 steps: 1) choose a stack (Tidio/Manychat for no-code, or a custom LLM to stand out), 2) load your catalog + FAQ via RAG, 3) define critical workflows (order status, returns, recommendati
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AI agents: what they are and when to use them in your operation
What an AI agent is, how it differs from a chatbot or a workflow, which processes at your company are good candidates, and how to manage the risks.
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RAG explained for executives: your company talking to its documents
RAG connects AI to your contracts, manuals, and policies so it can answer with citations to your actual information. What it solves, what you need, and when it makes sense.
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Medical schema, Google Business, and authority: the infrastructure that helps AI trust a specialist
The three infrastructure components that make a doctor citable by Google and AI engines: structured data (schema), Google Business Profile, and verifiable authority signals.
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SEO, GEO, AIO, and AEO for doctors: why you don’t appear on Google or ChatGPT
The four layers of digital visibility for medical practices—SEO, AI Overviews, generative engines, and answer engines—explained for specialists and those shaping their strategy.
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JSON-LD schema for citations in AI engines: a practical guide
The five schema types that matter most for helping AI understand and cite your brand — Organization, Person, Service, FAQPage, and Article — with the implementation order, errors that invalidate rich results, and a compl
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What Is GEO (Generative Engine Optimization) and How Does It Work in Mexico?
GEO (Generative Engine Optimization) is the discipline that gets ChatGPT, Perplexity, Gemini, and AI Overviews to cite and recommend your brand in their answers. Unlike SEO, it doesn’t compete for rankings in a list; it
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