Make Money Online AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Make Money Online benchmark compares 10 companies across 167 AI answers that met its inclusion rules. Upwork leads with 127 recommendations (76.05% of answers). At least one tracked company was recommended in 163 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 Make Money Online

Industry leaderboard

Questions This Section Answers

• How do Make Money Online rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers recorded an affirmative recommendation, so it measures endorsement volume rather than visibility alone. A company can appear often yet be recommended less often, which is why mention counts and recommendation counts are reported separately.

Ties require equal recommendation counts; near-equal counts are not ties. Placement figures are nested inside recommendations, so first-place and shortlist results describe position within endorsements, not additional wins.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Make Money Online answer sample recommend any tracked company?

163 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 655, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Nearly every included answer mentioned at least one tracked company, and almost all of those also recommended one. Most answers recommended several tracked companies at once, so company totals overlap and cannot be summed into a market share.

The small group of answers without a tracked recommendation may still have named companies outside this comparison. Coverage therefore describes presence within the reviewed answers, not overall market dominance.

Reach and affirmative recommendation

Upwork ranks 1 by recommendation count. Mentions: 131 (78.44%); recommendations: 127 (76.05%). Top 3 placements: 43 (25.75%); first-place placements: 31 (18.56%).

Wording about the company: 127 positive, 4 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 96.9%. The net framing score was 0.97 (defined in Methodology).

4 mentions had no recorded recommendation. Of recorded recommendations, 33.86% were Top 3 and 24.41% were first-place.

Mention means the company appeared in an answer; recommendation means the answer affirmatively endorsed it. Upwork's mentions and recommendations are close, so most appearances carried an endorsement, and the few mentions without one are recorded rather than assumed.

A high recommendation-to-mention ratio describes the wording of these answers. It does not measure customer preference, sales or conversion, and it does not explain why an endorsement was or was not given.

Recommendation order and placement

Placement records where a recommended company sat in an answer's ordering. Shortlist placements sit inside recommendations, and first-place placements sit inside shortlist placements, so these are nested subsets rather than separate achievements.

Ratios such as first-place share of recommendations use only the recommended base. Companies with few recommendations produce unstable ratios, so a strong-looking share on a sparse base should be read cautiously.

Classified framing in context

Framing classifies the wording attached to each mention as positive, neutral or negative. It is not customer sentiment, reputation or a judgment of company quality, and neutral wording does not imply disapproval.

Because a recommendation requires both affirmative endorsement and positive wording, framing and recommendation counts are related but distinct. The classification describes how these answers phrased their mentions, not why any company was treated favorably or unfavorably.

Company results in detail

Upwork

Questions This Section Answers

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

Upwork ranks 1 by recommendation count. Mentions: 131 (78.44%); recommendations: 127 (76.05%). Top 3 placements: 43 (25.75%); first-place placements: 31 (18.56%).

Wording about the company: 127 positive, 4 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 96.9%. The net framing score was 0.97 (defined in Methodology).

4 mentions had no recorded recommendation. Of recorded recommendations, 33.86% were Top 3 and 24.41% were first-place.

From October 2026 to November 2026, Upwork's mention count fell from 275 to 131, while its recommendation count fell from 256 to 127. The recommendation rate was 72.73% and 76.05% respectively.

Upwork holds the highest recommendation count in this sample, and most of its appearances carry an affirmative endorsement. Only a small number of mentions lack a recorded recommendation. First-place placements form a substantial subset of its shortlist placements, which are themselves a subset of recommendations.

Both mentions and recommendations were lower than the prior month, while the recommendation rate was higher. The months are separate selected samples, so the comparison records change without establishing its cause.

Fiverr

Questions This Section Answers

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

Fiverr ranks 2 by recommendation count. Mentions: 118 (70.66%); recommendations: 115 (68.86%). Top 3 placements: 37 (22.16%); first-place placements: 2 (1.20%).

Wording about the company: 115 positive, 3 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 97.5%. The net framing score was 0.97 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 32.17% were Top 3 and 1.74% were first-place.

From October 2026 to November 2026, Fiverr's mention count fell from 259 to 118, while its recommendation count fell from 240 to 115. The recommendation rate was 68.18% and 68.86% respectively.

Fiverr holds second place by recommendation count and endorses in almost every mention, leaving very few appearances without a recommendation. Its shortlist placements are common, but first-place placements are rare, so its recommendations cluster away from the top position.

Mentions and recommendations were both lower than the prior month, while the recommendation rate was slightly higher. These are separate monthly samples, and the figures do not explain the shift.

TaskRabbit

Questions This Section Answers

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

TaskRabbit ranks 3 by recommendation count. Mentions: 95 (56.89%); recommendations: 92 (55.09%). Top 3 placements: 19 (11.38%); first-place placements: 7 (4.19%).

Wording about the company: 92 positive, 3 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 96.8%. The net framing score was 0.97 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 20.65% were Top 3 and 7.61% were first-place.

From October 2026 to November 2026, TaskRabbit's mention count fell from 179 to 95, while its recommendation count fell from 169 to 92. The recommendation rate was 48.01% and 55.09% respectively.

TaskRabbit ranks third by recommendation count, and nearly all of its mentions carry an endorsement. Its shortlist placements are moderate, with a smaller first-place subset, so most of its recommendations sit outside the leading position.

Both mentions and recommendations were lower than the prior month, while the recommendation rate was higher. The recorded comparison does not establish why counts or rates moved, and the monthly samples are not equivalent.

Swagbucks

Questions This Section Answers

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

Swagbucks ranks 4 by recommendation count. Mentions: 111 (66.47%); recommendations: 77 (46.11%). Top 3 placements: 35 (20.96%); first-place placements: 17 (10.18%).

Wording about the company: 77 positive, 32 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 69.4%. The net framing score was 0.68 (defined in Methodology).

34 mentions had no recorded recommendation. Of recorded recommendations, 45.45% were Top 3 and 22.08% were first-place.

From October 2026 to November 2026, Swagbucks' mention count fell from 239 to 111, while its recommendation count fell from 210 to 77. The recommendation rate was 59.66% and 46.11% respectively.

Swagbucks records many appearances but a smaller share of them carry an affirmative endorsement, leaving a sizable group of mentions without a recorded recommendation. Neutral wording is comparatively common in its mentions. Among its recommendations, shortlist placements are frequent and first-place results less so.

Mentions, recommendations and the recommendation rate were all lower than the prior month. The smaller answer total does not explain that movement.

Rover

Questions This Section Answers

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

Rover ranks 5 by recommendation count. Mentions: 76 (45.51%); recommendations: 73 (43.71%). Top 3 placements: 4 (2.40%); first-place placements: 0 (0.00%).

Wording about the company: 73 positive, 3 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 96.1%. The net framing score was 0.96 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 5.48% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Rover's mention count fell from 144 to 76, while its recommendation count fell from 136 to 73. The recommendation rate was 38.64% and 43.71% respectively.

Rover endorses in nearly all of its mentions, so its appearances usually carry a recommendation. Its placements, however, are sparse: shortlist results are few and no first-place placements were recorded, so its recommendations rarely sit near the top of an answer.

Mentions and recommendations were lower than the prior month, while the recommendation rate was higher. These are recorded comparisons only, not evidence of a cause.

Survey Junkie(Acquiring Company: DISQO, Inc.)

Questions This Section Answers

• What do the November 2026 AI answer results show about Survey Junkie(Acquiring Company: DISQO, Inc.) mentions, recommendations and placement?

Survey Junkie(Acquiring Company: DISQO, Inc.) ranks 6 by recommendation count. Mentions: 62 (37.13%); recommendations: 47 (28.14%). Top 3 placements: 23 (13.77%); first-place placements: 4 (2.40%).

Wording about the company: 47 positive, 14 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 75.8%. The net framing score was 0.74 (defined in Methodology).

15 mentions had no recorded recommendation. Of recorded recommendations, 48.94% were Top 3 and 8.51% were first-place.

From October 2026 to November 2026, Survey Junkie(Acquiring Company: DISQO, Inc.)'s mention count fell from 147 to 62, while its recommendation count fell from 130 to 47. The recommendation rate was 36.93% and 28.14% respectively.

Survey Junkie's mentions usually carry an affirmative endorsement, with neutral wording appearing in a smaller group and negative wording rarely recorded. Shortlist placements are relatively frequent among its recommendations, while first-place results are fewer.

Mentions, recommendations and the recommendation rate were all lower than the prior month. The changed figures are reported as recorded results and do not demonstrate a reason for the decline.

Amazon

Questions This Section Answers

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

Amazon ranks 7 by recommendation count. Mentions: 66 (39.52%); recommendations: 45 (26.95%). Top 3 placements: 7 (4.19%); first-place placements: 2 (1.20%).

Wording about the company: 45 positive, 21 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 68.2%. The net framing score was 0.68 (defined in Methodology).

21 mentions had no recorded recommendation. Of recorded recommendations, 15.56% were Top 3 and 4.44% were first-place.

From October 2026 to November 2026, Amazon's mention count fell from 134 to 66, while its recommendation count fell from 75 to 45. The recommendation rate was 21.31% and 26.95% respectively.

Amazon appears in a moderate number of answers but is recommended in fewer than its mentions suggest, with neutral wording accounting for a substantial portion of appearances. Placements are uncommon, and first-place results are rare.

Mentions and recommendations were lower than the prior month, while the recommendation rate was higher. The comparison records the change without attributing it to sample size or any other factor.

InboxDollars

Questions This Section Answers

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

InboxDollars ranks 8 by recommendation count. Mentions: 51 (30.54%); recommendations: 39 (23.35%). Top 3 placements: 13 (7.78%); first-place placements: 0 (0.00%).

Wording about the company: 39 positive, 10 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 76.5%. The net framing score was 0.73 (defined in Methodology).

12 mentions had no recorded recommendation. Of recorded recommendations, 33.33% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, InboxDollars' mention count fell from 116 to 51, while its recommendation count fell from 102 to 39. The recommendation rate was 28.98% and 23.35% respectively.

InboxDollars is recommended in about three-quarters of its mentions, with some neutral and a couple of negative appearances. Shortlist placements occur among its recommendations, but no first-place placements were recorded, so its endorsements sit below the leading position.

Mentions, recommendations and the recommendation rate were all lower than the prior month. The figures describe the recorded answers, not a cause.

Etsy

Questions This Section Answers

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

Etsy ranks 9 by recommendation count. Mentions: 43 (25.75%); recommendations: 37 (22.16%). Top 3 placements: 6 (3.59%); first-place placements: 2 (1.20%).

Wording about the company: 37 positive, 6 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 86.0%. The net framing score was 0.86 (defined in Methodology).

6 mentions had no recorded recommendation. Of recorded recommendations, 16.22% were Top 3 and 5.41% were first-place.

From October 2026 to November 2026, Etsy's mention count fell from 109 to 43, while its recommendation count fell from 98 to 37. The recommendation rate was 27.84% and 22.16% respectively.

Etsy is recommended in most of its mentions, with a small neutral remainder and no negative wording. Its placements are limited: shortlist results are few and first-place results rarer still, so endorsements seldom appear near the top.

Mentions, recommendations and the recommendation rate were all lower than the prior month. The comparison is descriptive and does not establish why the results changed.

Shopify POS

Questions This Section Answers

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

Shopify POS ranks 10 by recommendation count. Mentions: 18 (10.78%); recommendations: 3 (1.80%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 3 positive, 15 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 16.7%. The net framing score was 0.17 (defined in Methodology).

15 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, Shopify POS's mention count rose from 10 to 18, while its recommendation count fell from 7 to 3. The recommendation rate was 1.99% and 1.80% respectively.

Shopify POS is mentioned in a modest number of answers but rarely recommended, and most of its mentions are neutral rather than positive. No shortlist or first-place placements were recorded, so its recommendations do not reach the top positions.

Mentions were higher than the prior month while recommendations were lower, and the recommendation rate was slightly lower. These are separate samples, and the figures do not explain the divergence.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Make Money Online 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 differs across months. Counts and rates therefore should be read together rather than compared as if the samples were equivalent.

Rank changes across months describe the recorded ordering only. They do not establish rank stability, improvement or loss of standing, and a single prior month cannot show a first-ever result.

What the November Rankings Show

The November results answer different questions at each layer. Reach asks whether a company appeared at all; recommendation asks whether an answer affirmatively endorsed it; placement asks where that endorsement sat; and framing asks how the wording was classified. A company can be visible without being endorsed, or endorsed without appearing near the top.

Because placements are nested inside recommendations and answers can name several companies, the figures overlap and should not be added together. The monthly comparisons record change across separate samples without explaining it, and framing reflects answer wording rather than customer sentiment or company quality.

Methodology

Questions This Section Answers

• How were the November 2026 Make Money Online AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 1 of 3 planned question categories contributed usable observations; 2 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; 10 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:

August 2026 measured a different set of companies, so it is excluded from this comparison.

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

Coverage is partial: only one of three planned question categories contributed usable observations, so findings apply to the available answer set rather than the full intended scope. The reporting month labels the period, but exact collection dates were not verified.

Each company is counted at most once per answer, and a recommendation requires both affirmative endorsement and positive wording. Rates use the full benchmark answer total, and placement results are included within recommendations. The recommendation-to-mention ratio and net framing describe answer wording, not customers, sales or company quality. Monthly samples differ, so comparisons show recorded change without establishing cause.