Optimizely Analytics Remote MCP Simplifies Data Access

Nobody's opening a dashboard to check A/B results when they're already in Claude or ChatGPT. So we stopped making them. Optimizely's Analytics Remote MCP lets teams query experiment results, funnel data, and retention trends directly from the AI tools they already live in. Plain English. No SQL. No context switching. The data comes to them. Wild concept, we know. See how it works: https://ow.ly/mMN230sW4Bk

Nobody's opening a dashboard to check A/B results when they're already in Claude or ChatGPT. So we stopped making them. Optimizely's Analytics Remote MCP lets teams query experiment results, funnel data, and retention trends directly from the AI tools they already live in. Plain English. No SQL. No context switching. The data comes to them. Wild concept, we know. See how it works: https://ow.ly/Qjgq30sW4LG

Nobody's opening a dashboard to check A/B results when they're already in Claude or ChatGPT. So we stopped making them. Optimizely's Analytics Remote MCP lets teams query experiment results, funnel data, and retention trends directly from the AI tools they already live in. Plain English. No SQL. No context switching. The data comes to them. Wild concept, we know. See how it works: https://ow.ly/MKwu30sW3U2

Nobody's opening a dashboard to check A/B results when they're already in Claude or ChatGPT. So we stopped making them. Optimizely's Analytics Remote MCP lets teams query experiment results, funnel data, and retention trends directly from the AI tools they already live in. Plain English. No SQL. No context switching. The data comes to them. Wild concept, we know. See how it works: https://ow.ly/IeHm30sW2go

Nobody's opening a dashboard to check A/B results when they're already in Claude or ChatGPT. So we stopped making them. Optimizely's Analytics Remote MCP lets teams query experiment results, funnel data, and retention trends directly from the AI tools they already live in. Plain English. No SQL. No context switching. The data comes to them. Wild concept, we know. See how it works: https://ow.ly/zLVP30sW3S2

Stop losing strategic momentum to manual data exports and platform toggling. Our ArcAI MCP Server and API grounds your AI assistants (like ChatGPT or Claude) or your own internal BI tools in your brand’s live SEO/AEO truth with a no-code integration. Now, any team member can get instant insights on complex visibility data directly with a simple chat message to make faster, smarter decisions. https://bit.ly/4mQCiFt

Two years I posted a hypothetical prompt for ChatGPT to essentially take over data management and analytics. https://lnkd.in/gEpt_gvp One year ago, I wrote an update to ChatGPT's opinion about how well it might be able to accomplish those tasks a year later. https://lnkd.in/gNjnE3Fj Based on this free markdown from Seer Interactive, it might be time for me to revisit my premise. Twyman's Law Data Quality Module https://lnkd.in/gZVwcw7u Major thanks to John Lovett for sharing this with his Marketing Analytics Summit workshop!

Most teams measuring GEO are either over-engineered (twenty dashboards nobody reads) or under-engineered (one ChatGPT screenshot per month). The working scorecard sits between those - Eight metrics. Three categories. Quarterly cadence. 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 (𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝗻𝗱) 1 - Share of AI Voice overall - % of AI responses mentioning your brand across a 50–150 prompt set 2 - SoAIV by funnel stage - broken down into awareness, consideration, decision. Most brands are uneven here. 3 - Citation rate - % of responses citing your actual URLs as sources. Distinct from brand mentions. 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 (𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂'𝗿𝗲 𝗴𝗼𝗶𝗻𝗴) 4 - Quarter-over-quarter SoAIV change - direction of momentum. Most important velocity metric. 5 - High-authority editorial mentions - the leading indicator that shows up in training data 6–12 months later. Target 30–60/year. 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 (𝘄𝗵𝗲𝗿𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗲𝗹𝘀𝗲 𝗶𝘀) 6 - Competitors' SoAIV - you can be improving while still losing if they're improving faster 7 - Sentiment frame distribution - when you're named, are you named positively? With the right frame? 8 - Engine-level variance - how does your SoAIV differ across ChatGPT vs Claude vs Perplexity? Each tells a different story. Each metric maps to a specific budget decision. If a metric doesn't change a budget or a priority, drop it. Full setup guide - including how to build the prompt set, lock the methodology, and fit everything onto one CMO slide: #GEO #MarketingMetrics #AISearch #ShareOfVoice

Most teams measuring GEO are either over-engineered (twenty dashboards nobody reads) or under-engineered (one ChatGPT screenshot per month). The working scorecard sits between those - Eight metrics. Three categories. Quarterly cadence. 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 (𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝗻𝗱) 1 - Share of AI Voice overall - % of AI responses mentioning your brand across a 50–150 prompt set 2 - SoAIV by funnel stage - broken down into awareness, consideration, decision. Most brands are uneven here. 3 - Citation rate - % of responses citing your actual URLs as sources. Distinct from brand mentions. 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 (𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂'𝗿𝗲 𝗴𝗼𝗶𝗻𝗴) 4 - Quarter-over-quarter SoAIV change - direction of momentum. Most important velocity metric. 5 - High-authority editorial mentions - the leading indicator that shows up in training data 6–12 months later. Target 30–60/year. 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 (𝘄𝗵𝗲𝗿𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗲𝗹𝘀𝗲 𝗶𝘀) 6 - Competitors' SoAIV - you can be improving while still losing if they're improving faster 7 - Sentiment frame distribution - when you're named, are you named positively? With the right frame? 8 - Engine-level variance - how does your SoAIV differ across ChatGPT vs Claude vs Perplexity? Each tells a different story. Each metric maps to a specific budget decision. If a metric doesn't change a budget or a priority, drop it. Full setup guide - including how to build the prompt set, lock the methodology, and fit everything onto one CMO slide: #GEO #MarketingMetrics #AISearch #ShareOfVoice

Everyone in the room knows GEO matters. Half the room has already started working on it. The other half is still figuring out where to even begin. And honestly the biggest blocker is not knowledge. It is not motivation either. It is the tools. Few entrprise GEO platforms are built for agencies with retainers. $200 a month minimum. $400 if you want competitor tracking. $600 if you want both engines covered. And they are designed for teams who live inside dashboards all day. But most of the people who actually need a GEO audit are not running an agency. They are running a business. A clinic. A brokerage. A law firm. A consultancy. They know they need to show up when someone asks ChatGPT or Gemini to recommend their type of service. They just do not have the budget or the time for an enterprise tool. ☑️That is the gap we built Geotics for. One audit. $29. No subscription. → Your AI visibility score across ChatGPT and Gemini → Niche-specific searches tailored to your exact business type and location → Google Business Profile completeness check → Content depth — are you expert-led or commodity → Side by side competitor comparison → Full scored report delivered to your inbox If you have been meaning to get your GEO baseline sorted but kept putting it off because the tools felt too heavy or too expensive — this is the one. Link in first comment.