There's no official equivalent — platforms don't report back to brands. Visibility has to be measured actively: a fixed set of prompts run recurrently on each platform, plus citation analysis and AI referral traffic in your analytics.
Below: which KPIs to track, how many prompts and runs you need before the data is trustworthy, how often to re-measure, and what tooling exists.
Updated 2026-07-14 · Websem, AEO questions base
The core set: mention rate on purchase-intent prompts (not just brand ones), average position within the answer, mention sentiment, the number of domain citations, share of voice against competitors, plus traffic and conversions from AI referrals. A brand versus non-brand split is mandatory so you don't fool yourself.
Order of magnitude: 30–50 prompts (at least 70% non-brand, phrased the way a real customer would ask), each run across all relevant platforms, repeated at a fixed cadence. Conclusions should be drawn from multi-week trends, not a single day's snapshot.
Weekly for trend series, monthly for management reporting, plus ad-hoc measurements after major model releases or your own campaigns. Daily only if a tool does it automatically — manually, it isn't worth it.
The market has matured: Profound (enterprise, starting around USD 499/month), Peec AI (mid-market), Otterly (entry-level, starting around USD 29/month), plus modules inside SEO suites like Semrush and agencies with proprietary monitoring. To get started, a one-off audit plus monthly monitoring is enough; a dedicated platform earns its keep at scale.
You segment referrals: chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, and the rest. Careful: some AI traffic arrives labeled as direct (dark traffic), so the numbers you see are an underestimate.
This question is part of a base of 124 answers about AEO across 12 categories — from how LLMs work to budget, measurement and deliverables.