Budgeting Apps AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Budgeting Apps benchmark compares 11 companies across 353 AI answers that met its inclusion rules. YNAB (You Need A Budget) leads with 306 recommendations (86.69% of answers). At least one tracked company was recommended in 323 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Budgeting Apps

Industry leaderboard

Questions This Section Answers

• How do Budgeting Apps rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by recommendation count, so it reflects how often each brand received an affirmative endorsement in the reviewed AI answers. A mention alone is weaker evidence: it records appearance, not support. Placement is a further subset, since first-place results sit inside shortlist placements, which sit inside recommendations. Ties should be read as equal recommendation counts, not as shared or split credit.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Budgeting Apps answer sample recommend any tracked company?

323 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1167, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Nearly every qualified answer named at least one tracked company, and most recommended one. Because a single answer can endorse several brands, company-level totals exceed the number of answers, so they should not be summed into a market-share figure. The small group of answers without a tracked recommendation may still have named companies outside this comparison.

Reach and affirmative recommendation

YNAB (You Need A Budget) ranks 1 by recommendation count. Mentions: 338 (95.75%); recommendations: 306 (86.69%). Top 3 placements: 226 (64.02%); first-place placements: 74 (20.96%).

Wording about the company: 315 positive, 23 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 90.5%. The net framing score was 0.93 (defined in Methodology).

32 mentions had no recorded recommendation. Of recorded recommendations, 73.86% were Top 3 and 24.18% were first-place.

YNAB leads on recommendation count, but reach and endorsement answer different questions. A high mention rate shows the brand appeared often; a high recommendation rate shows it was affirmatively endorsed when it appeared. The gap between the two is the set of appearances without recorded support. Neither measure establishes why an answer included or endorsed a company.

Recommendation order and placement

Placement describes where a recommended company sat in an answer's ordering. Shortlist and first-place counts are nested within recommendations, so they are not additional wins and should not be added to recommendation totals. A company can be recommended often while rarely appearing first, and the reverse pattern is also possible.

Classified framing in context

Framing records the wording attached to each mention, not customer sentiment or product quality. Positive wording is common across the leading brands, while neutral wording dominates for some frequently named but rarely recommended companies. A favorable framing score does not explain why a recommendation was or was not recorded, and neutral wording is not a negative judgment.

Company results in detail

YNAB (You Need A Budget)

Questions This Section Answers

• What do the November 2026 AI answer results show about YNAB (You Need A Budget) mentions, recommendations and placement?

YNAB (You Need A Budget) ranks 1 by recommendation count. Mentions: 338 (95.75%); recommendations: 306 (86.69%). Top 3 placements: 226 (64.02%); first-place placements: 74 (20.96%).

Wording about the company: 315 positive, 23 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 90.5%. The net framing score was 0.93 (defined in Methodology).

32 mentions had no recorded recommendation. Of recorded recommendations, 73.86% were Top 3 and 24.18% were first-place.

From October 2026 to November 2026, YNAB (You Need A Budget)'s mention count fell from 453 to 338, while its recommendation count fell from 438 to 306. The recommendation rate was 90.31% and 86.69% respectively.

YNAB holds the top recommendation count, with mentions almost as frequent as recommendations and no negative wording recorded. Its first-place share is smaller than Monarch Money's despite the higher recommendation total, showing that reach and ordering position diverge. The month-to-month comparison shows lower counts and a lower recommendation rate than October, though the samples differ.

Monarch Money

Questions This Section Answers

• What do the November 2026 AI answer results show about Monarch Money mentions, recommendations and placement?

Monarch Money ranks 2 by recommendation count. Mentions: 338 (95.75%); recommendations: 300 (84.99%). Top 3 placements: 224 (63.46%); first-place placements: 122 (34.56%).

Wording about the company: 309 positive, 29 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 88.8%. The net framing score was 0.91 (defined in Methodology).

38 mentions had no recorded recommendation. Of recorded recommendations, 74.67% were Top 3 and 40.67% were first-place.

From October 2026 to November 2026, Monarch Money's mention count fell from 456 to 338, while its recommendation count fell from 435 to 300. The recommendation rate was 89.69% and 84.99% respectively.

Monarch Money sits just behind YNAB on recommendations while matching it on mentions, and it records the largest first-place count in the set. That pattern means it was frequently placed at the top of an answer's ordering even where total endorsements were slightly fewer. Its framing is overwhelmingly positive, with no negative wording recorded.

Rocket Money

Questions This Section Answers

• What do the November 2026 AI answer results show about Rocket Money mentions, recommendations and placement?

Rocket Money ranks 3 by recommendation count. Mentions: 261 (73.94%); recommendations: 222 (62.89%). Top 3 placements: 79 (22.38%); first-place placements: 24 (6.80%).

Wording about the company: 233 positive, 28 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 85.1%. The net framing score was 0.89 (defined in Methodology).

39 mentions had no recorded recommendation. Of recorded recommendations, 35.59% were Top 3 and 10.81% were first-place.

From October 2026 to November 2026, Rocket Money's mention count fell from 327 to 261, while its recommendation count fell from 310 to 222. The recommendation rate was 63.92% and 62.89% respectively.

Rocket Money ranks third on recommendations with a notably lower mention rate than the two leaders, and its shortlist and first-place counts are far smaller relative to its recommendation total. Most of its recommendations therefore did not carry a top placement. Its recorded counts and rate were lower than in October, across a different answer sample.

Quicken Inc.

Questions This Section Answers

• What do the November 2026 AI answer results show about Quicken Inc. mentions, recommendations and placement?

Quicken Inc. ranks 4 by recommendation count. Mentions: 233 (66.01%); recommendations: 203 (57.51%). Top 3 placements: 122 (34.56%); first-place placements: 41 (11.61%).

Wording about the company: 207 positive, 26 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 87.1%. The net framing score was 0.89 (defined in Methodology).

30 mentions had no recorded recommendation. Of recorded recommendations, 60.10% were Top 3 and 20.20% were first-place.

From October 2026 to November 2026, Quicken Inc.'s mention count fell from 290 to 233, while its recommendation count fell from 276 to 203. The recommendation rate was 56.91% and 57.51% respectively.

Quicken holds fourth place with a recommendation rate close to its mention rate, indicating that appearances usually came with endorsement. Its shortlist count is comparatively strong relative to its recommendation total, while first-place placements are less common. Its recommendation rate was slightly higher than October's even as raw counts fell.

Honeydue

Questions This Section Answers

• What do the November 2026 AI answer results show about Honeydue mentions, recommendations and placement?

Honeydue ranks 5 by recommendation count. Mentions: 95 (26.91%); recommendations: 76 (21.53%). Top 3 placements: 23 (6.52%); first-place placements: 12 (3.40%).

Wording about the company: 76 positive, 19 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 80.0%. The net framing score was 0.80 (defined in Methodology).

19 mentions had no recorded recommendation. Of recorded recommendations, 30.26% were Top 3 and 15.79% were first-place.

From October 2026 to November 2026, Honeydue's mention count fell from 145 to 95, while its recommendation count fell from 140 to 76. The recommendation rate was 28.87% and 21.53% respectively.

Honeydue ranks fifth, with mentions and recommendations well below the leading group but a high share of mentions carrying endorsement. Its placements are modest relative to its recommendation count, and first-place appearances are uncommon. Both counts and the recommendation rate were lower than in October, though the monthly samples are separate.

Credit Karma

Questions This Section Answers

• What do the November 2026 AI answer results show about Credit Karma mentions, recommendations and placement?

Credit Karma ranks 6 by recommendation count. Mentions: 64 (18.13%); recommendations: 33 (9.35%). Top 3 placements: 6 (1.70%); first-place placements: 5 (1.42%).

Wording about the company: 34 positive, 30 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 51.6%. The net framing score was 0.53 (defined in Methodology).

31 mentions had no recorded recommendation. Of recorded recommendations, 18.18% were Top 3 and 15.15% were first-place.

From October 2026 to November 2026, Credit Karma's mention count rose from 40 to 64, while its recommendation count rose from 16 to 33. The recommendation rate was 3.30% and 9.35% respectively.

Credit Karma's profile is split: it appears in a meaningful share of answers but is recommended in only about half of those mentions, and neutral wording is nearly as common as positive. Its placements are rare. Counts and rate rose from October, a change recorded across a different sample rather than evidence of a trend.

Ramsey Solutions (Lampo Group)

Questions This Section Answers

• What do the November 2026 AI answer results show about Ramsey Solutions (Lampo Group) mentions, recommendations and placement?

Ramsey Solutions (Lampo Group) ranks 7 by recommendation count. Mentions: 92 (26.06%); recommendations: 21 (5.95%). Top 3 placements: 4 (1.13%); first-place placements: 0 (0.00%).

Wording about the company: 22 positive, 70 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 22.8%. The net framing score was 0.24 (defined in Methodology).

71 mentions had no recorded recommendation. Of recorded recommendations, 19.05% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Ramsey Solutions (Lampo Group)'s mention count fell from 100 to 92, while its recommendation count fell from 83 to 21. The recommendation rate was 17.11% and 5.95% respectively.

Ramsey Solutions appears fairly often but is rarely recommended, and neutral wording far outnumbers positive. No first-place placements were recorded, and shortlist appearances are few. The recommendation rate fell sharply from October alongside lower counts; the separate samples do not establish why.

NerdWallet, Inc.

Questions This Section Answers

• What do the November 2026 AI answer results show about NerdWallet, Inc. mentions, recommendations and placement?

NerdWallet, Inc. ranks 8 by recommendation count. Mentions: 128 (36.26%); recommendations: 3 (0.85%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 4 positive, 124 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 2.3%. The net framing score was 0.03 (defined in Methodology).

125 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, NerdWallet, Inc.'s mention count rose from 74 to 128, while its recommendation count fell from 11 to 3. The recommendation rate was 2.27% and 0.85% respectively.

NerdWallet is named frequently but almost never recommended, and its wording is overwhelmingly neutral. No shortlist or first-place placements were recorded. Its mention count rose from October while its recommendation count fell, so the two measures moved in different directions and should not be described as jointly unchanged.

Acorns Grow Inc.

Questions This Section Answers

• What do the November 2026 AI answer results show about Acorns Grow Inc. mentions, recommendations and placement?

Acorns Grow Inc. ranks 9 by recommendation count. Mentions: 5 (1.42%); recommendations: 2 (0.57%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 2 positive, 3 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.0%. The net framing score was 0.40 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Acorns Grow Inc.'s mention count fell from 8 to 5, while its recommendation count fell from 8 to 2. The recommendation rate was 1.65% and 0.57% respectively.

Acorns appears in only a handful of answers, with a small number of recommendations and no placements. The recommendation-to-mention ratio rests on a very sparse base and should be read cautiously. Counts were lower than in October, but the small totals limit how much the comparison can support.

Betterment LLC

Questions This Section Answers

• What do the November 2026 AI answer results show about Betterment LLC mentions, recommendations and placement?

Betterment LLC ranks 10 by recommendation count. Mentions: 2 (0.57%); recommendations: 1 (0.28%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 1 positive, 1 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.0%. The net framing score was 0.50 (defined in Methodology).

1 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Betterment LLC's mention count fell from 3 to 2, while its recommendation count stayed at 1. The recommendation rate was 0.21% and 0.28% respectively. The count was unchanged: the rate difference comes from dividing it by 485 answers in October 2026 and 353 in November.

Betterment's profile rests on very few mentions and a single recommendation, with no placements recorded. Its recommendation count was unchanged from October while its rate shifted because the answer total differed, so the rate change reflects the denominator rather than a new endorsement. Sparse bases make the ratio fragile.

Wealthfront Corporation

Questions This Section Answers

• What do the November 2026 AI answer results show about Wealthfront Corporation mentions, recommendations and placement?

Wealthfront Corporation ranks 11 by recommendation count. Mentions: 1 (0.28%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 1 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 0.0%. The net framing score was 0.00 (defined in Methodology).

1 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Wealthfront Corporation's mention count fell from 3 to 1, while its recommendation count fell from 1 to 0. The recommendation rate was 0.21% and 0.00% respectively.

Wealthfront records a single neutral mention and no recommendations, so its placement counts are zero and ratios requiring a nonzero base are undefined. This is a measured zero, not a missing observation. The prior month's single recommendation does not establish a trend from one comparison.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Budgeting Apps snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Each month is a separate sample of AI answers, and the number of included answers varies, so counts and rates are not directly interchangeable across months. The printed ranks show relative order within each month, not stability over time. A changed count or rate does not by itself demonstrate improvement, decline or the effect of any action.

What the November Rankings Show

These sections answer different questions. Reach asks whether a company appeared; recommendation asks whether the answer affirmatively endorsed it; placement asks where it sat in the ordering; framing asks how the wording read. A brand can be widely named yet rarely endorsed, or endorsed often yet seldom placed first. None of these measures describes customers, sales or product quality, and none explains why an answer took the shape it did.

Methodology

Questions This Section Answers

• How were the November 2026 Budgeting Apps AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 11 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Results cover the answers that met the benchmark rules, not every possible AI response, and the exact collection dates are unverified. Each company counts at most once per answer, while one answer may cover several companies. Recommendation requires both endorsement and positive wording. Rates use the full included answer total, and monthly samples differ, so comparisons show recorded change without establishing cause.