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.
RAG for ecommerce: how to connect an LLM to your catalog for accurate answers about your products
RAG connects an LLM to your actual catalog: before responding, the model searches a vector store for relevant products and provides specific citations (SKU, price, stock). It eliminates hallucinations (it doesn’t make up
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AI chatbot for ecommerce: how to implement one that actually sells and doesn’t just answer generic questions
An ecommerce chatbot that sells (not just answers) requires three layers: catalog knowledge (RAG), the ability to take action (function calling: add to cart, apply a coupon, schedule), and handoff to a human when it gets
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Agency specializing in generative engines: what sets true experts apart
A legitimate GEO agency stands out through five key indicators: 1) explains the technical architecture (not just “AI magic”), 2) doesn’t promise that “AI learns on its own” (it requires maintenance), 3) mentions inferenc
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How to automate parts of your SEO with AI without losing control or quality
Automate SEO with AI without losing control: use AI for batch tasks (keyword research, product listing drafts, on-page optimization) and retain human oversight of strategy (intent map, internal linking, monitoring). Team
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How AI is redefining the rules of organic search rankings
AI is redefining organic search visibility: it’s no longer just backlinks + long-form content. Semantic structure also matters (so the LLM can extract quotable chunks), as do the quality of direct answers, verifiable fir
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Content optimized for language models: beyond traditional SEO
Content optimized for LLMs goes beyond traditional SEO: each section should answer a fan-out subquery, answers should begin with a factual statement plus data, and the schema should include FAQPage + Article + Person. SE
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Optimizing for AI Answers: how to aim to be the source behind the answer
To become the source behind an answer from AI Overviews/Perplexity/ChatGPT: 1) direct, complete answers (not teasers), 2) primary data with a number and source, 3) FAQs with real user questions, 4) entity-wide consistenc
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SEO Automation with AI: What to Automate Today and What Not to Touch Yet
Automate SEO with AI TODAY: keyword research, initial drafts, batch on-page optimization, SERP monitoring, query classification. DO NOT automate yet: cluster strategy, critical internal linking, cannibalization decisions
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AI SEO: concrete use cases that are already working
SEO use cases with AI that already work in the mid-market: scaled product listing drafts, keyword research + intent, automated on-page optimization, technical audits with pattern detection, SERP monitoring, editorial qua
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AI-Optimized SEO: how to prepare your site for search engines and AI models
AI-Optimized SEO prepares your site for Google AND LLMs: clear semantic structure, direct answers, FAQ schema, first-party data, and an author with credentials. The post-Google era requires optimizing so ChatGPT/Claude c
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Optimize your sales campaigns with artificial intelligence. Get started today!
Optimizing sales campaigns with AI starts with clean data: AI amplifies what’s already structured (CRM, web events, segmentation). Primary use cases: lead scoring, A/B testing email subject lines with an LLM, predictive
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Artificial intelligence for A/B testing in ecommerce
AI for ecommerce A/B testing: generate variants (headlines, CTAs, images) with an LLM, allocate traffic using bandit algorithms (not 50/50 static), and declare a winner sooner with fewer visitors. Properly implemented: 3
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AI applied to predictive sales analytics in ecommerce
Predictive sales analytics with AI in ecommerce can forecast demand, identify customers with a high likelihood of repeat purchases or churn, anticipate trending products, and plan inventory accurately. Replace intuition-
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AI in E-commerce: Technical Solutions for Stores in Latin America
Technical AI solutions for e-commerce in Latin America: dynamic pricing with MercadoLibre as a benchmark, multi-country translation/localization, integration with WhatsApp Business (channel #1 in LATAM), local payment ga
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How ChatGPT and other AI tools are changing the SEO game in 2024
ChatGPT and AI tools are changing SEO on three fronts: keyword research with semantic intent, drafts at 10x speed with consistent quality, and automated on-page optimization. What they DON’T change: the need for human re
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The role of AI in optimizing Core Web Vitals to improve search rankings
AI optimizes Core Web Vitals by analyzing waterfalls, suggesting lazy loading, automatically compressing images to WebP/AVIF, and prioritizing critical resources. Stack: Lighthouse CI + LLM for analysis + plugins (WP/Mag
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Predictive analytics to identify changes in search algorithms using artificial intelligence
AI-powered predictive analytics detects changes in search algorithms before they’re announced by monitoring rankings + CTR + impressions by topic cluster with anomaly detection. This makes it possible to react in days, n
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Strategies for Adapting Existing Content with AI and Keeping It Relevant
Adapt existing content with AI to keep it relevant: identify posts with declining traffic in GSC, audit gaps against current competitors with an LLM, rewrite outdated sections, and update stats, screenshots, and links. T
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