Learning Management Systems AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Learning Management Systems benchmark compares 10 companies across 453 AI answers that met its inclusion rules. Docebo leads with 257 recommendations (56.73% of answers). At least one tracked company was recommended in 284 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 Learning Management Systems

Industry leaderboard

Questions This Section Answers

• How do Learning Management Systems 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, and the two readings answer different questions.

Ties require equal recommendation counts; near-neighbours in the table are not ties. Placement figures are nested inside recommendations, so first-place counts sit within shortlist counts and should not be added to them.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Learning Management Systems answer sample recommend any tracked company?

284 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1533, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Coverage describes how often tracked companies appear across the reviewed answers. Every qualified answer mentioned at least one tracked company, while a smaller majority recommended one, and most answers recommended several. These overlapping appearances mean company totals cannot be summed into a market share.

Answers without a tracked recommendation may still have named companies outside this comparison, so the uncovered share is not evidence of an empty answer.

Reach and affirmative recommendation

Docebo ranks 1 by recommendation count. Mentions: 403 (88.96%); recommendations: 257 (56.73%). Top 3 placements: 187 (41.28%); first-place placements: 93 (20.53%).

Wording about the company: 295 positive, 108 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 63.8%. The net framing score was 0.73 (defined in Methodology).

146 mentions had no recorded recommendation. Of recorded recommendations, 72.76% were Top 3 and 36.19% were first-place.

Mention records that a company appeared in an answer; recommendation records an affirmative endorsement. Docebo's profile shows the gap clearly: most mentions carried a recommendation, but a substantial minority did not, so reach and endorsement move separately.

Placement figures are subsets of the recorded recommendations, not additional wins. The recommendation-to-mention ratio describes answer wording only, not customer behaviour or conversion.

Recommendation order and placement

Placement describes where a recommended company sat in the answer's ordering. Shortlist placements include first-place placements, so the two are nested rather than cumulative, and neither should be read as a separate endorsement.

Ratios vary widely across companies with similar mention totals, which shows that appearing and being placed early are distinct measurements. Strong ratios rest on the recorded recommendation base and should be read alongside it.

Classified framing in context

Framing classifies the wording used about a company in the selected answers. Positive wording dominates for most tracked companies, with neutral wording common and negative wording rare or absent for several.

Framing is not customer sentiment, product quality or an explanation of why a recommendation was recorded. Neutral or positive wording does not establish why endorsements occurred or did not occur, and the classification applies only to the answers reviewed.

Company results in detail

Docebo

Questions This Section Answers

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

Docebo ranks 1 by recommendation count. Mentions: 403 (88.96%); recommendations: 257 (56.73%). Top 3 placements: 187 (41.28%); first-place placements: 93 (20.53%).

Wording about the company: 295 positive, 108 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 63.8%. The net framing score was 0.73 (defined in Methodology).

146 mentions had no recorded recommendation. Of recorded recommendations, 72.76% were Top 3 and 36.19% were first-place.

From October 2026 to November 2026, Docebo's mention count fell from 415 to 403, while its recommendation count rose from 233 to 257. The recommendation rate was 44.05% and 56.73% respectively.

Docebo leads on recommendation count, with mentions slightly below its recommendation total's growth path and a large share of mentions carrying endorsement. Its placements skew toward the top of answers, and first-place results form a meaningful part of its recommendations.

Wording about Docebo was overwhelmingly positive with no negative mentions recorded. Between the two most recent months its mentions eased while recommendations rose, a recorded comparison that does not establish why either moved.

TalentLMS

Questions This Section Answers

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

TalentLMS ranks 2 by recommendation count. Mentions: 390 (86.09%); recommendations: 249 (54.97%). Top 3 placements: 145 (32.01%); first-place placements: 62 (13.69%).

Wording about the company: 285 positive, 105 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 63.8%. The net framing score was 0.73 (defined in Methodology).

141 mentions had no recorded recommendation. Of recorded recommendations, 58.23% were Top 3 and 24.90% were first-place.

From October 2026 to November 2026, TalentLMS's mention count fell from 394 to 390, while its recommendation count rose from 228 to 249. The recommendation rate was 43.10% and 54.97% respectively.

TalentLMS sits just behind the leader on recommendation count, with a similar share of mentions carrying endorsement. Its shortlist placements are frequent, though first-place results form a smaller portion of its recommendations than the leader's.

Framing was positive or neutral with no negative mentions. Its mention count dipped slightly while recommendations increased across the two most recent months; the samples differ, so the change is reported without a cause.

Moodle

Questions This Section Answers

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

Moodle ranks 3 by recommendation count. Mentions: 387 (85.43%); recommendations: 215 (47.46%). Top 3 placements: 87 (19.21%); first-place placements: 22 (4.86%).

Wording about the company: 259 positive, 126 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 55.6%. The net framing score was 0.66 (defined in Methodology).

172 mentions had no recorded recommendation. Of recorded recommendations, 40.47% were Top 3 and 10.23% were first-place.

From October 2026 to November 2026, Moodle's mention count fell from 441 to 387, while its recommendation count rose from 188 to 215. The recommendation rate was 35.54% and 47.46% respectively.

Moodle ranks third by recommendation count, yet the share of its mentions that also carried an endorsement is lower than its reach might suggest. Shortlist placements are recorded, while first-place results are comparatively rare within its recommendations.

Its wording is mostly positive with a small number of negative mentions. Mentions fell while recommendations rose between the two most recent months; these are separate recorded comparisons across differing samples.

Absorb LMS

Questions This Section Answers

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

Absorb LMS ranks 4 by recommendation count. Mentions: 294 (64.90%); recommendations: 202 (44.59%). Top 3 placements: 122 (26.93%); first-place placements: 13 (2.87%).

Wording about the company: 232 positive, 62 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 68.7%. The net framing score was 0.79 (defined in Methodology).

92 mentions had no recorded recommendation. Of recorded recommendations, 60.40% were Top 3 and 6.44% were first-place.

From October 2026 to November 2026, Absorb LMS's mention count rose from 253 to 294, while its recommendation count rose from 175 to 202. The recommendation rate was 33.08% and 44.59% respectively.

Absorb LMS records a comparatively high share of mentions carrying endorsement, and its shortlist placements are frequent. First-place results, however, form only a small fraction of its recommendations, so early placement is uncommon relative to shortlisting.

Wording was positive or neutral with no negatives. Both mentions and recommendations rose across the two most recent months, a recorded change that does not establish a cause.

Canvas (Instructure)

Questions This Section Answers

• What do the November 2026 AI answer results show about Canvas (Instructure) mentions, recommendations and placement?

Canvas (Instructure) ranks 5 by recommendation count. Mentions: 345 (76.16%); recommendations: 180 (39.74%). Top 3 placements: 83 (18.32%); first-place placements: 55 (12.14%).

Wording about the company: 236 positive, 109 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 52.2%. The net framing score was 0.68 (defined in Methodology).

165 mentions had no recorded recommendation. Of recorded recommendations, 46.11% were Top 3 and 30.56% were first-place.

From October 2026 to November 2026, Canvas (Instructure)'s mention count fell from 408 to 345, while its recommendation count rose from 159 to 180. The recommendation rate was 30.06% and 39.74% respectively.

Canvas (Instructure) appears in a large share of answers, but the proportion of those mentions that also included an endorsement is lower than several peers. First-place results are relatively prominent within its recommendations, giving it an early-placement character distinct from its overall reach.

Wording was positive or neutral with no negatives. Mentions fell while recommendations rose between the two most recent months, a comparison across differing samples.

360Learning

Questions This Section Answers

• What do the November 2026 AI answer results show about 360Learning mentions, recommendations and placement?

360Learning ranks 6 by recommendation count. Mentions: 257 (56.73%); recommendations: 172 (37.97%). Top 3 placements: 32 (7.06%); first-place placements: 0 (0.00%).

Wording about the company: 197 positive, 60 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 66.9%. The net framing score was 0.77 (defined in Methodology).

85 mentions had no recorded recommendation. Of recorded recommendations, 18.60% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, 360Learning's mention count rose from 202 to 257, while its recommendation count rose from 143 to 172. The recommendation rate was 27.03% and 37.97% respectively.

360Learning records a high share of mentions carrying endorsement, yet its shortlist placements are comparatively few and no first-place results were recorded. Its profile therefore combines frequent endorsement with limited early positioning.

Wording was positive or neutral with no negatives. Both mentions and recommendations rose across the two most recent months; the change is reported without inferring a mechanism.

Cornerstone OnDemand

Questions This Section Answers

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

Cornerstone OnDemand ranks 7 by recommendation count. Mentions: 197 (43.49%); recommendations: 114 (25.17%). Top 3 placements: 53 (11.70%); first-place placements: 15 (3.31%).

Wording about the company: 130 positive, 66 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 57.9%. The net framing score was 0.65 (defined in Methodology).

83 mentions had no recorded recommendation. Of recorded recommendations, 46.49% were Top 3 and 13.16% were first-place.

From October 2026 to November 2026, Cornerstone OnDemand's mention count rose from 152 to 197, while its recommendation count rose from 59 to 114. The recommendation rate was 11.15% and 25.17% respectively.

Cornerstone OnDemand records a moderate share of its mentions alongside an endorsement, with shortlist placements present and first-place results less common. Its reach is narrower than the leading companies, so its recommendation total sits lower in the ranking.

Wording was mostly positive with a single negative mention. Both mentions and recommendations rose between the two most recent months, a recorded comparison rather than evidence of an intervention.

Blackboard (Anthology)

Questions This Section Answers

• What do the November 2026 AI answer results show about Blackboard (Anthology) mentions, recommendations and placement?

Blackboard (Anthology) ranks 8 by recommendation count. Mentions: 241 (53.20%); recommendations: 59 (13.02%). Top 3 placements: 29 (6.40%); first-place placements: 0 (0.00%).

Wording about the company: 84 positive, 147 neutral, 10 negative mentions. The proportion of mentions that also included a recommendation was 24.5%. The net framing score was 0.31 (defined in Methodology).

182 mentions had no recorded recommendation. Of recorded recommendations, 49.15% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Blackboard (Anthology)'s mention count fell from 274 to 241, while its recommendation count rose from 38 to 59. The recommendation rate was 7.18% and 13.02% respectively.

Blackboard (Anthology) appears in many answers, but the share of those mentions that also included an endorsement is the lowest ratio among the tracked companies. Shortlist placements are recorded, while no first-place results appear.

Its wording includes the largest neutral share and the most negative mentions in the set, which distinguishes its framing profile. Mentions fell while recommendations rose between the two most recent months; the samples differ.

D2L Brightspace

Questions This Section Answers

• What do the November 2026 AI answer results show about D2L Brightspace mentions, recommendations and placement?

D2L Brightspace ranks 9 by recommendation count. Mentions: 126 (27.81%); recommendations: 46 (10.15%). Top 3 placements: 9 (1.99%); first-place placements: 2 (0.44%).

Wording about the company: 62 positive, 64 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 36.5%. The net framing score was 0.49 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 19.57% were Top 3 and 4.35% were first-place.

From October 2026 to November 2026, D2L Brightspace's mention count rose from 107 to 126, while its recommendation count rose from 37 to 46. The recommendation rate was 6.99% and 10.15% respectively.

D2L Brightspace has the narrowest reach among the tracked companies, and a modest share of its mentions carry endorsement. Shortlist placements are few and first-place results rarer still, consistent with its lower recommendation total.

Wording was split between positive and neutral with no negatives. Both mentions and recommendations rose across the two most recent months, a comparison that does not establish why.

SAP Litmos

Questions This Section Answers

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

SAP Litmos ranks 10 by recommendation count. Mentions: 96 (21.19%); recommendations: 39 (8.61%). Top 3 placements: 6 (1.32%); first-place placements: 0 (0.00%).

Wording about the company: 53 positive, 42 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 40.6%. The net framing score was 0.54 (defined in Methodology).

57 mentions had no recorded recommendation. Of recorded recommendations, 15.38% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, SAP Litmos' mention count fell from 115 to 96, while its recommendation count fell from 52 to 39. The recommendation rate was 9.83% and 8.61% respectively.

SAP Litmos records the smallest recommendation total, with a moderate share of its mentions carrying endorsement. Shortlist placements are few and no first-place results were recorded, so its profile is one of limited early positioning.

Wording was mostly positive with a single negative mention. Unlike most peers, both its mentions and recommendations fell between the two most recent months, a recorded change whose cause is not established.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Learning Management Systems 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.

The monthly snapshots are separate samples of AI answers, each with its own answer total, so counts and rates are not directly comparable across months. Rank positions can shift because the sample changed as well as because recorded results changed.

A single previous month cannot establish a trend or a first-ever result. The missing August month is a gap in the record, not a zero result.

What the November Rankings Show

The November results answer several distinct questions. Reach asks how often a company appeared; recommendation asks whether the answer affirmatively endorsed it; placement asks where an endorsed company sat in the ordering; framing asks how the wording was classified. These measures can diverge sharply, which is why a single ranking cannot summarise a company's position.

Companies with similar mention totals show different endorsement shares and different placement patterns, and positive wording does not by itself explain endorsement. The figures describe the reviewed answers, not customers, sales or product quality, and the monthly samples differ.

Methodology

Questions This Section Answers

• How were the November 2026 Learning Management Systems 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; 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:

Reliable results for August 2026 are unavailable. This is a gap in the history, not a result of zero.

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

The benchmark covers a partial set of answers, and the reporting month labels the period rather than verified collection dates. Each company is counted at most once per answer, and placement results are nested within recommendations rather than added to them.

Rates use the full benchmark answer total, while the recommendation-to-mention ratio describes answer wording, not conversion. Net framing is a wording measure, not customer satisfaction. One answer can name several companies, so company totals overlap and should not be summed. Monthly samples differ, and comparisons show recorded change without establishing its cause.