Budgeting & Bookkeeping Apps,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about budgeting & bookkeeping apps — and record exactly which brands they put forward. Right now, Emma owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Emma is the default answer.
Named in 38% of budgeting & bookkeeping apps answers, typically in position 2.7. Snoop follows at 30%, YNAB at 27%.
Every brand AI names, ranked.
Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Emma | 38% | 2.7 | 12% | 21% |
| 2 | Snoop | 30% | 3.2 | 4% | 43% |
| 3 | YNAB | 27% | 3.1 | 10% | 30% |
| 4 | Monzo | 22% | 2.6 | 1% | 11% |
| 5 | Xero | 22% | 2.8 | 1% | 17% |
| 6 | FreeAgent | 20% | 2.7 | 1% | 50% |
| 7 | QuickBooks | 20% | 3.2 | 3% | 8% |
| 8 | Actual Budget | 18% | 2.8 | 1% | 50% |
| 9 | Starling Bank | 18% | 3.9 | 0% | — |
| 10 | Sage | 13% | 4.6 | 7% | 33% |
| 11 | Monarch Money | 10% | 2.3 | 0% | — |
| 12 | Chase | 8% | 1.8 | 0% | — |
| 13 | Kubera | 8% | 5.6 | 3% | 33% |
| 14 | Empower | 7% | 2.3 | 0% | — |
| 15 | Richify | 7% | 3.0 | 6% | 100% |
Emma is named most. That is not the same as being wanted.
Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 13% of the 67 brands rated above indifference. Monzo leads the brands the answers name, at 77% of maximum Desire. On attachment, the most divided driver, Monzo indexes 137 against RentalBux at 55, on a category average of 100.
Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full budgeting & bookkeeping apps desire edition →
The referees of budgeting & bookkeeping apps.
The independent sources AI models cite when answering budgeting & bookkeeping apps questions — the places a brand needs to be seen, reviewed and ranked.
Snoop converts reads into citations. QuickBooks doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Snoop converts 43% of reads; QuickBooks just 8%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Emma | 38% | 2.7 | 12% | 21% |
| 2 | Snoop | 30% | 3.2 | 4% | 43% |
| 3 | YNAB | 27% | 3.1 | 10% | 30% |
| 4 | Monzo | 22% | 2.6 | 1% | 11% |
| 5 | Xero | 22% | 2.8 | 1% | 17% |
| 6 | FreeAgent | 20% | 2.7 | 1% | 50% |
| 7 | QuickBooks | 20% | 3.2 | 3% | 8% |
| 8 | Actual Budget | 18% | 2.8 | 1% | 50% |
| 9 | Starling Bank | 18% | 3.9 | 0% | — |
| 10 | Sage | 13% | 4.6 | 7% | 33% |
| 11 | Monarch Money | 10% | 2.3 | 0% | — |
| 12 | Chase | 8% | 1.8 | 0% | — |
| 13 | Kubera | 8% | 5.6 | 3% | 33% |
| 14 | Empower | 7% | 2.3 | 0% | — |
| 15 | Richify | 7% | 3.0 | 6% | 100% |
The models do not agree on who leads.
Ask about budgeting & bookkeeping apps and the brand you are shown depends on the assistant: Claude → Snoop, Gemini → Emma, ChatGPT → Emma. Their top-five lists share just 22% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| QuickBooks | 10% | 40% | 10% | 30pp |
| Starling Bank | 10% | 35% | 10% | 25pp |
| Emma | 25% | 45% | 45% | 20pp |
| Monzo | 15% | 35% | 15% | 20pp |
| Xero | 15% | 35% | 15% | 20pp |
| Actual Budget | 10% | 15% | 30% | 20pp |
| Monarch Money | 10% | 20% | 0% | 20pp |
| Sage | 5% | 25% | 10% | 20pp |
| Chase | 0% | 20% | 5% | 20pp |
| Snoop | 25% | 40% | 25% | 15pp |
Comparisons carry budgeting & bookkeeping apps.
Every page AI opened while answering, classified by what kind of page it is. Comparisons supply the most citations; pricing convert best — 100% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Comparisons | 59 | 4 | 94% |
| How-to guides | 52 | 1 | 98% |
| Product pages | 36 | 1 | 97% |
| Editorial | 29 | 2 | 94% |
| Listicles | 17 | 3 | 85% |
| pricing | 14 | 0 | 100% |
| Documentation | 9 | 5 | 64% |
| Reviews | 9 | 2 | 82% |
Structured data is what separates cited from ignored.
Of the budgeting & bookkeeping apps pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 19 percentage points; hard statistics pages fare 14pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 208 | 92% | 78 | 73% | +19pp |
| Named author | 158 | 93% | 128 | 80% | +13pp |
| Updated this year | 131 | 92% | 155 | 83% | +8pp |
| Comparison table | 91 | 92% | 195 | 85% | +8pp |
| Answer up front | 162 | 90% | 124 | 83% | +7pp |
| Hard statistics | 73 | 77% | 213 | 91% | -14pp |
RentalBux builds pages AI can quote.
Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Moneyhub is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| RentalBux | 58 | 20% | 5 |
| Richify | 54 | 33% | 3 |
| Landlord Studio | 53 | 80% | 5 |
| Moneyhub | 51 | 3% | 39 |
| Latch | 48 | 14% | 7 |
| WealthR | 48 | 60% | 5 |
| Crunch | 46 | 0% | 3 |
| Pandle | 44 | 0% | 4 |
| Aureli | 42 | 67% | 3 |
| PocketSmith | 42 | 33% | 3 |
Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.
The questions budgeting & bookkeeping apps pages have to settle.
Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.
Nineteen more categories.
Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Sat, 17 Oct 2026 13:07:44 GMT.