Consumer Banking
AI recommendation signal analysis across 641 domains and 11 buyer personas in Consumer Banking, led by chase.com as the most LLM-recommended domain.
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.
Get the full Consumer Banking report →How to use this page
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 Consumer Banking 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.
Pure LLM: Over- vs. Under-performers
For Consumer Banking, 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 |
|---|---|---|---|---|---|
| citibank.com | 76 | - | - | - | +76 |
| one.app | 73 | - | - | - | +73 |
| charleschwab.com | 69 | - | - | - | +69 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| bankrate.com | - | - | 100 | 100 | -67 |
| investopedia.com | - | - | 99 | 99 | -66 |
| reddit.com | - | - | 99 | 100 | -66 |
Fanout: Over- vs. Under-performers
For Consumer Banking, 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 |
|---|---|---|---|---|---|
| hsbc.com | 80 | 50 | - | - | +23 |
| ubs.com | 62 | 42 | - | - | +22 |
| lili.co | 84 | 72 | 73 | - | +20 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| truist.com | 54 | - | 81 | 91 | -75 |
| creditkarma.com | 36 | - | 91 | 89 | -72 |
| bankrate.com | - | - | 100 | 100 | -67 |
Google AI Overview: Over- vs. Under-performers
For Consumer Banking, 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 |
|---|---|---|---|---|---|
| firstcard.app | - | - | 80 | - | +80 |
| jdpower.com | - | - | 77 | - | +77 |
| wafdbank.com | - | - | 77 | - | +77 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| morganstanley.com | 60 | 52 | - | 93 | -69 |
| westernunion.com | 52 | 10 | - | 93 | -51 |
| hsbc.com | 80 | 50 | - | - | -43 |
Organic Google: Over- vs. Under-performers
For Consumer Banking, 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 |
|---|---|---|---|---|---|
| google.com | - | - | - | 97 | +97 |
| play.google.com | - | - | - | 97 | +97 |
| flcu.org | - | - | - | 96 | +96 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| lili.co | 84 | 72 | 73 | - | -76 |
| hsbc.com | 80 | 50 | - | - | -43 |
| nbkc.com | 70 | 16 | 43 | - | -43 |