AEO Measurement Assessment | Webflow AEO Edge Finder

How would you describe your current approach to measuring AEO performance?

Keyword rankings tell you where you rank in search. AEO metrics tell you where and how often you show up in AI-generated answers.

We aren't measuring AEO performance yet.

We track AI-referred traffic and conversion rates in our existing analytics tools.

We track AI traffic and conversions and monitor how often we appear in answers for our priority queries.

We track traffic, visibility, and share of voice against competitors across our priority queries.

How well can you tie AEO performance to business outcomes?

Tracking visibility, citations, and business impact gives you a complete picture of AEO performance.

We aren't tracking enough AEO-specific metrics to connect performance to any business outcome.

We do surface-level tracking (spot-checking mentions, basic traffic tags) but can't connect this to revenue.

We systematically track AI visibility and traffic with conversion tracking, but attribution to pipeline is incomplete.

We have clear visibility into how AI presence translates to citations, pipeline, and revenue.

Do you track how accurately AI describes your brand?

Accuracy, sentiment, and message pull-through all determine whether visibility is working for you or against you.

No — we haven't looked at how AI describes us beyond whether we show up.

We've spot-checked a few queries but don't have a consistent approach.

We review AI descriptions for accuracy when something seems off or after a major campaign.

We proactively track accuracy, sentiment, and message pull-through across a defined set of queries and sources.

Do you benchmark your AI share of voice against competitors?

Share of voice in AI answers is an increasingly reliable signal of where your brand stands competitively.

No — we don't have competitive benchmarks.

We've done ad hoc comparisons but nothing consistent is in place.

We benchmark periodically but it's not driving regular decisions.

Yes — we track AI share of voice on a regular cadence and use it to inform where to focus.

How directly does your AEO measurement inform content and technical decisions?

Performance data tells you where your AEO strategy is and isn't working. Deliberate experiments turn that signal into insight.

We have AEO data, but it's not part of our planning or decision-making workflow.

We occasionally reference AEO data in planning, but it doesn't consistently shape decisions.

AEO data feeds into our planning regularly, but we're not yet acting on it with confidence.

AEO performance data consistently drives our content and technical priorities.

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