Answer Engine Optimization for B2B / A Danish Lead Co company
Case study

Danish Lead Co

From zero citations to nearly a third of tracked AI answers.

31.8%Citation share, up from 0%
170Total citations, up from 0
26Brand mentions, up from 7

Before

In our first measurement pass on danishleadco.io (27 July 2026), zero AI-cited sources across the tracked buyer-question set pointed back to us. Danish Lead Co was named in 7% of answers, but never cited as a source.

After

By our most recent measurement (4 September 2026), across an expanded set of 535 tracked buyer questions, danishleadco.io is now cited in 31.8% of the source pool, up from 0%, with 170 total citations recorded (up from 0). Brand mentions rose from 7 to 26 over the same window.

What changed

danishleadco.io ran through the same AEO program we run for clients: a genuinely answer-first content structure (original data-backed pages, comparison tables, an FAQ layer with matching schema), and a growing evergreen blog built specifically to be the source an AI answer engine can lift a passage from, rather than to rank in a traditional search results page.

Why this matters

Citation share, not just brand mentions, is what determines whether an AI answer engine treats a site as a source worth naming when it answers a buyer's question. Going from zero cited sources to nearly a third of the tracked pool in six weeks is the kind of movement we look for before we call a program working.

Source: SourceRank AI's own measurement engine, tracked prompt set for danishleadco.io. Snapshots: 27 July 2026 (100 tracked responses) and 4 September 2026 (535 tracked responses).

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