Data Warehouse Lakehouse Platforms

Compare recommendation patterns for Data Warehouse Lakehouse Platforms across all personas across four channels side by side: pick a model for LLM and Fanout, toggle Google/Bing for Organic. AI Search has no model choice (it's Google's own AI Overview, a single source, not a multi-model API) and no rank field, so it's shown as a plain citation count rather than a rank-weighted score like the other three.

The two boxes below the four channel charts offer several views of the same data; use the tabs to switch charts. Every view derives from the four charts' data directly, normalized 0-100 within each channel, and updates with the same dropdowns.

For Data Warehouse Lakehouse Platforms, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Pure LLM than they do on average across Fanout, Google AI Overview, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Fanout, Google AI Overview, and Organic Google but rank poorly, or don't appear at all, in Pure LLM.

For Data Warehouse Lakehouse Platforms, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Fanout than they do on average across Pure LLM, Google AI Overview, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Google AI Overview, and Organic Google but rank poorly, or don't appear at all, in Fanout.

For Data Warehouse Lakehouse Platforms, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Google AI Overview than they do on average across Pure LLM, Fanout, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Fanout, and Organic Google but rank poorly, or don't appear at all, in Google AI Overview.

For Data Warehouse Lakehouse Platforms, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Organic Google than they do on average across Pure LLM, Fanout, and Google AI Overview. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Fanout, and Google AI Overview but rank poorly, or don't appear at all, in Organic Google.