Neutral
AI recommendation signal analysis across 79 domains for the Neutral persona in Data Warehouse Lakehouse Platforms.
Many tables and charts on this page show only the top few results; the full data behind them runs far deeper. The complete report unlocks every row, chart, and download for this industry.
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Compare channels at a glance
See which domains win each discovery channel, and where a brand is strong in one but missing from another. Use the over- and under-performer tables to find channels where competitors hold an edge you can close, or gaps you can take first.
Where the numbers come from
LLM, Fanout, and Organic columns use a rank-weighted score: a domain at position 1 counts for more than one at position 10, summed across every query run. AI Search is a plain citation count because Google's AI Overviews carry no rank data.
What's on this page
Side-by-side rankings for LLM recommendations, web-search fanout, Google's AI Overviews, and organic results, plus an aggregate view and per-channel over/under-performer callouts.
LLM vs Fanout vs AI Search vs Organic
Compare recommendation patterns for Neutral 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.
Pure LLM: Over- vs. Under-performers
For Neutral, 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.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| oracle.com | 67 | 0 | - | 26 | +58 |
| ibm.com | 60 | - | - | 40 | +47 |
| snowflake.com | 100 | 89 | 56 | 48 | +36 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| domo.com | - | - | 97 | 100 | -66 |
| gartner.com | - | - | 82 | 92 | -58 |
| reddit.com | - | - | 71 | 99 | -56 |
Fanout: Over- vs. Under-performers
For Neutral, 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.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| microsoft.com | 20 | 67 | 65 | - | +38 |
| snowflake.com | 100 | 89 | 56 | 48 | +21 |
| cloudera.com | 7 | 22 | 18 | 11 | +11 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| azure.microsoft.com | 73 | - | 77 | 75 | -75 |
| domo.com | - | - | 97 | 100 | -66 |
| gartner.com | - | - | 82 | 92 | -58 |
Google AI Overview: Over- vs. Under-performers
For Neutral, 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.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| domo.com | - | - | 97 | 100 | +64 |
| learn.microsoft.com | - | - | 79 | 72 | +55 |
| gartner.com | - | - | 82 | 92 | +52 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| ibm.com | 60 | - | - | 40 | -33 |
| metabase.com | - | - | - | 94 | -31 |
| oracle.com | 67 | 0 | - | 26 | -31 |
Organic Google: Over- vs. Under-performers
For Neutral, 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.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| metabase.com | - | - | - | 94 | +94 |
| fortegrp.com | - | - | - | 86 | +86 |
| weld.app | - | - | - | 85 | +85 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| microsoft.com | 20 | 67 | 65 | - | -51 |
| snowflake.com | 100 | 89 | 56 | 48 | -34 |
| sedai.io | - | - | 38 | - | -13 |