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Large Language Models
From Clicks to Questions: How AI Answer Engines Are Rewriting Value, Influence and Decision-Making
Contributing Author: George Assimakopoulos – Managing Principal @ Metric Centric For more than two decades, digital strategy revolved around a simple premise: Get clicks. Clicks became the currency for attention. Attention became the currency for influence. And influence became the currency for business value. Entire industries were built around optimizing this model. SEO teams chased […]
How AI Decides What To Cite (And Why Most Brands Get It Wrong)
Contributing Author: George Assimakopoulos – Managing Principal @ Metric Centric A few weeks ago, I asked three different answer engine platforms the same question: “Who are the top firms in [a specific B2B category]?” The results were revealing. Some well-known brands appeared consistently. Others – equally credible, equally capable – were nowhere to be found. […]
Conversational Data: The Missing Feedback Loop
Conversational Data: The Missing Feedback Loop Contributing Author: George Assimakopoulos – Managing Principal @ Metric Centric A few weeks ago, I asked a simple question to a room full of smart B2B executives: “How do you know what people are saying about your brand?” The answers came quickly – surveys, social listening tools, customer reviews, NPS […]
Apps Inside LLMs: When Answers Become Actions
Contributing Author: Michael B. Snead – Business Advisor @ Metric Centric You’re planning a quick weekend getaway to Austin with friends from college, and you’re tasked with making the itinerary – the hotel, dinner reservations, the bars that will actually be worth it on a Saturday night. Normally, that means scrolling travel blogs, comparing prices across […]
What LLMs Amplify vs. What They Erase
What LLMs Amplify vs. What They Erase Contributing Author: Michael B. Snead – Business Advisor @ Metric Centric At first, it feels like AI makes everything more visible. You ask a question, and suddenly the answer is right there – summarized, simplified and easy to understand. Ideas surface faster. Information feels more accessible. Knowledge feels […]
The Synthetic Authority Problem: What Do LLMs Actually Know?
The Synthetic Authority Problem: What Do LLMs Actually Know? Contributing Author: George Assimakopoulos – Managing Principal @ Metric Centric Millions of people now treat AI systems as if they are all-knowing sources of information. They ask a question, get an answer and assume it’s true. A marketing manager asks an AI assistant to summarize a […]
How LLMs Learn (and Why It Matters)
How LLMs Learn (and Why It Matters) Contributing Author: Michael B. Snead – Business Advisor @ Metric Centric For many people, AI can feel like the answer to problems we couldn’t solve before. It finishes sentences better than your English teacher. It recommends restaurants better than the Michelin Guide. It creates images that no photographer […]
From Search Engines to Answer Engines – How LLMs Are Changing the Internet
From Search Engines to Answer Engines – How LLMs Are Reshaping the Internet Contributing Author: George Assimakopoulos – Managing Principal @ Metric Centric Valentine’s Day is circled on the calendar, and this year you’ve sworn you’ll get it right. You want to take your wife out for a romantic dinner – candlelight, a great bottle […]