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The New Set of GEO/AEO KPIs: AI Visibility Metrics You Should Track in 2026
As AI overviews and generative engines reshape the online search landscape, tracking traditional SERP rankings and organic traffic alone leaves you blind to how your brand performs in AI-powered search platforms like Perplexity, Claude, Gemini, and ChatGPT.
So, what new generative engine optimization (GEO) metrics do SEO, content, and digital marketing teams need to track in 2026? In this AI search measurability session, Lumar host Matt Hill, Senior Solutions Consultant at Lumar, and presenter Jon Clark, Managing Partner at Moving Traffic Media, break down the evolving GEO/AEO KPI landscape, from modifying traditional SEO metrics to tracking new AI visibility indicators like AI citation traffic, prompt visibility, and AI bot engagement.
Discover which AI brand visibility metrics matter most for measuring success in the GEO/AEO era and learn practical approaches to building your AI visibility measurement stack in this in-depth, expert-led Lumar webinar session. You’ll leave with a clear framework for evaluating your brand’s presence in AI search.
Get clarity on how to evaluate your brand’s presence in AI search from some of the best in the business.
Watch the full Lumar webinar session above.
TL;DR / Executive Webinar Summary: New GEO / AEO KPIs to Track Now
As AI search changes how people discover, evaluate, and choose brands, SEO teams need to measure more than rankings, traffic, and clicks. But that does not mean abandoning traditional SEO KPIs.
In this Lumar webinar, Jon Clark, managing partner at Moving Traffic Media, joined Lumar host Matt Hill to explain how SEO and marketing teams should rethink measurement for the GEO/AEO era.
The core message: Traditional SEO still matters, but teams should augment their existing KPIs with AI visibility metrics that show whether their brand is being mentioned, cited, represented accurately, and associated with the right topics inside AI-generated answers.
Key AI visibility metrics to start tracking include:
- AI citation frequency: How often your brand or content is referenced in AI-generated answers.
- Answer inclusion rate: The percentage of relevant prompts where your brand or content appears.
- Prompt coverage: How broadly your brand appears across different prompt types, topics, funnel stages, and models.
- Brand mentions without links: When AI systems reference your brand without sending referral traffic.
- Topic association strength: Whether AI systems consistently associate your brand with the subjects you want to own.
- AI share of voice: How often your brand appears compared with competitors.
- Answer accuracy and narrative control: Whether AI systems are describing your brand, products, pricing, and expertise correctly.
- AI referral and action tracking: How AI-driven visits, landing pages, direct traffic spikes, and conversion patterns show up in GA4 or other analytics tools.
Clark’s practical recommendation: Start small. Build a controlled prompt library, track outputs manually in a spreadsheet, look for patterns, and only move into automation once you know which prompts, models, and metrics matter to your business.
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