What should a brand prioritize after reading the source data? | Trakkr Research

Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility.

Methodology: Built from 48,422,016 citation appearances across 529,165 unique domains in the latest valid snapshot for 1,643 tracked brands, observed from October 3, 2025 to August 18, 2026.

Direct Answer

Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility.

What this means

This answer matters because it turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next.

Evidence table

Metric Value Why it matters
Reference category share 1.98% Partial hand-maintained source classification.
Social category share 7.20% Social is the largest named category, led by YouTube, Reddit, and LinkedIn.
Review category share 1.15% Partial hand-maintained source classification.
Tracked brands 1,643 Current brand-snapshot coverage.

Frequently Asked Questions

What should a brand prioritize after reading the source data?

Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility.

Which numbers from AI Citation Index matter most here?

Reference category share: 1.98%. Partial hand-maintained source classification. Social category share: 7.20%. Social is the largest named category, led by YouTube, Reddit, and LinkedIn.

What should a team do next?

Audit the domains that already dominate your category and decide which ones are realistic citation targets. Build source-worthy pages for the query shapes where AI is already citing third parties. Treat reference, review, and social sources as part of your AI visibility surface, not as noise.

What to do next

Related pages

Continue through the same study cluster.

Data & Sources