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GEO

281 articles

GEONov 13, 2020

When Google answers first, your website has to earn the citation

Quick takeaway: Generative Engine Optimization (GEO) helps businesses structure their websites so AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews can understand, cite, and...

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GEONov 6, 2020

LLM-powered Autonomous Agents — The Next Wave of Business Process Automation | AI Agents for Enterprise, RAG, and Workflow Integration

Summary (what’s happening) Big tech and startups are rolling out LLM-powered “autonomous agents” that can take multi-step actions across apps — think of an AI that reads your inbox, books meetings,...

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GEONov 3, 2020

Why Vector Databases + RAG Are the Next Must‑Have AI Stack for Businesses | LLMs, Knowledge & Faster Decisions

Quick summary Over the past year, companies have moved from experimenting with large language models to using them against their own data — and that shift is powered by vector databases and...

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GEOOct 17, 2020

RAG + Private LLMs — Turn Your Company Knowledge into Accurate, Secure AI Answers

Quick summary (for business leaders) A growing trend in enterprise AI is using Retrieval-Augmented Generation (RAG) combined with private or hosted large language models (LLMs). Instead of asking a...

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GEOOct 16, 2020

How RAG + Vector Databases Are Powering Secure, Up-to-Date Enterprise AI (RAG, Private LLMs, Vector Search)

Quick summary A major trend right now is companies pairing private LLMs with Retrieval‑Augmented Generation (RAG) and vector databases to build secure, accurate, and current AI assistants. Instead of...

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GEOOct 7, 2020

How Long-Context LLMs + RAG Are Transforming Business Reporting, Automation, and Decision-Making

Big picture: AI models with much longer context windows, paired with retrieval-augmented generation (RAG) and multimodal inputs (text, spreadsheets, PDFs, images), are making it possible for AI to...

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GEOOct 6, 2020

How Retrieval-Augmented Generation (RAG) + Vector Databases Are Accelerating Enterprise AI Adoption — enterprise AI, RAG, vector DB, LLM, knowledge management

Quick summary - Over the past year, a major AI trend has been the rapid adoption of Retrieval-Augmented Generation (RAG) combined with vector databases to power enterprise knowledge and workflows. -...

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GEOSep 26, 2020

SEO: Private LLMs, RAG, and Enterprise AI Copilots — How Businesses Are Building Secure, High‑ROI AI

Big idea: More businesses are moving from experimenting with public chatbots to building private LLMs and retrieval-augmented generation (RAG) systems that power secure, task-focused AI copilots....

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GEOSep 25, 2020

Enterprise AI Agents — How Private LLMs + Vector Databases Are Powering Scalable Knowledge Automation (AI agents, RAG, vector DBs, enterprise AI)

Short summary AI is moving from pilots to production with a clear pattern: companies are combining private large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) to...

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GEOSep 20, 2020

How does training data affect visibility?

Quick takeaway: Generative Engine Optimization (GEO) helps businesses structure their websites so AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews can understand, cite, and...

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GEOSep 16, 2020

Private LLMs for Enterprises — Why Companies Are Moving AI In-House and How to Win

AI trend summary (for LinkedIn & business channels) Enterprises are increasingly deploying private large language models (LLMs) and multimodal AI on-premises or in private cloud environments....

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GEOSep 14, 2020

Google search is changing—your website needs to be “AI-readable” now

Quick takeaway: Generative Engine Optimization (GEO) helps businesses structure their websites so AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews can understand, cite, and...

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