The hard part of AI search isn’t the strategy. It’s the measurement.

Can you prove which AI search changes actually moved results?

Traffic is shifting. Citations are appearing. Your visibility metrics looks good.

But when your CMO asks what moved, you don’t have an answer that’s backed by evidence.

See how enterprise teams test, measure & prove AI search. Save your seat!

Stop Guessing Which AI Search Strategies Paid Off
Join us as seoClarity’s Mark Traphagen, VP of Product Marketing & Training, with Mihir Naik, Sr. Product Manager, AI, and Suraj Lalchandani, Sr. IT Project Manager, will walk you through the testing methodology their enterprise clients use across AI search, including what’s easier on Google’s surfaces with the new Search Console AI visibility breakouts.

Bring your team. Leave with a test plan.

You’ll learn to:

- Pick prompts worth tracking. The methodology for selecting, tiering, and pairing prompts so you produce real signal across AI search platforms.

- Build an AI Search prompt control group. The testing structure enterprise clients use to isolate what’s actually moving in AI search when traditional A/B frameworks don’t apply.

- Apply Google’s new AI visibility data. Where Google’s new first-party AI visibility data fits your program, which gaps it closes, and why ChatGPT, Perplexity, and Claude still need a structured testing approach.

ChatGPT, Claude, Gemini, AI Mode: every LLM has its own crawlers, its own citation patterns, and its own measurement story. Most enterprise teams know they’re showing up somewhere. The hard part is proving it across surfaces and turning early signals into a scaled AEO program.

Register now to get the testing methodology enterprise SEO teams use to prove AI search performance across every major platform.

Can’t make it live? Register and we’ll send you the recording so you can watch on your schedule.