Benchmark 2026
AI visibility benchmark for 2026.
This page defines what strong AI visibility should look like now: brand inclusion in commercial prompts, useful citations, and page architecture that helps AI systems trust the right asset.
What this benchmark measures
Visibility is uneven across engines and prompt classes, not uniform across the board.
Commercial prompts matter more than informational prompts when pipeline is the real KPI.
Strong recommendation performance usually depends on page quality, not just brand mentions.
Methodology pages, comparison pages, and clear service pages tend to support stronger retrieval.
What strong performance looks like
Brand appears in shortlist-style prompts for core buying jobs.
Cited pages explain the offer clearly and reduce trust friction fast.
Entity description stays consistent across the site and supporting surfaces.
Supporting proof pages exist, so the commercial page is not carrying the entire trust load alone.
Benchmark takeaway
AI visibility is not a single score to admire. It is the combined effect of prompt inclusion, citation quality, and trust-ready page structure. If one of those layers breaks, the system weakens fast.
What to do next
Fix the weakest money page first
Add or improve a methodology or proof page
Build glossary and comparison assets that support retrieval depth
Track visibility changes after content and page fixes, not before