#AI

#AI

6 posts with this tag

Dec 16, 2025 8 min read

A day in the life of an Optimizely OMVP - Optimizely Opal: Specialized Agents, Workflows, and Tools Explained

The AI landscape in digital experience platforms has shifted dramatically. At Opticon 2025, Optimizely unveiled the next evolution of Optimizely Opal – positioning it not merely as an AI feature bolted onto their DXP, but as a fully independent agent orchestration platform. As Kevin Li, SVP of Product at Optimizely, put it: "We're after 20X improvements. We need autonomous processes to run."

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Graham Carr
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Sep 12, 2025 5 min read

A day in the life of an Optimizely OMVP - AEO & GEO: The Future of Digital Visibility with Optimizely

The way people discover content online is undergoing a seismic shift. Traditional SEO is no longer enough. With AI-powered tools like ChatGPT, Gemini, and Perplexity reshaping search behavior, two new disciplines have emerged: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). For brands, this means one thing—adapt or risk invisibility.

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Graham Carr
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Sep 04, 2025 7 min read

A day in the life of an Optimizely OMVP - The Optimizely Opal Tools SDK: How to Extend Opal with Your Own Superpowers

If you’ve spent any time with Optimizely Opal—Optimizely’s cross‑platform AI assistant—you’ll know it can already plan, generate, analyze, and automate across Optimizely One. Under the hood, Opal orchestrates agents and tools to decide what to do next, and it even routes requests through Google Gemini so your data stays private.

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Graham Carr
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Jan 01, 2024 26 min read

A day in the life of an Optimizely OMVP - Creating an AI powered conversational robot that utilises Semantic Search in Optimizely Graph

In this blog post I will be covering an exciting POC that I recently undertook for one of our clients. The ask was to create a POC of an AI powered chatbot that followed the RAG model utilising Optimizely Graph and Semantic Search for retrieving related content that the chatbot can use as a context to be able to enhance the quality and relevance of its generated responses.

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Graham Carr
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