Language Learning Software: AI Market Discovery Index
Tracking how AI platforms recommend language learning software. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Increase: Busuu
- 08Largest Decline: Rosetta Stone
- 09Category Leader: Duolingo
- 10Recommendation Placement Snapshot
- 11Buyer-Intent Distribution
- 12Historical Measurement Record
Benchmark Summary
In September 2026, Duolingo leads the Language Learning Software benchmark with valid recommendation coverage of 83.0%, up from 81.7% in July 2026. The gap to the next brand, Babbel at 76.9% in September 2026 (up from 74.6% in July 2026), narrowed slightly to 6.1 percentage points.
The largest coverage increase came from Busuu, rising to 44.6% in September 2026 from 40.8% in July 2026, within normal month-to-month variation. The largest coverage decline came from Rosetta Stone, falling to 36.6% in September 2026 from 48.5% in July 2026, a move beyond normal variation.
This month presents no significant single-month shifts across the category; all ten tracked brands moved within normal month-to-month variation this period. Across the full July-to-September series, Rosetta Stone's decline of 11.9 percentage points stands as the category's dominant movement, while most other brands held relatively steady or moved modestly upward.
The benchmark began with 800 prompt-surface observations in each month and produced 558 qualified observations in September 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Sep 2026
- Duolingo83.0%
- Babbel76.9%
- Pimsleur66.8%
- italki45.7%
- Busuu44.6%
- Rosetta Stone36.6%
- Memrise31.0%
- Lingoda21.1%
- Mango Languages7.5%
- Mondly6.8%
Current Benchmark at a Glance
Measure | July 2026 | September 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 520 | 558 | Up |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 64.6% | 55.4% | Down 9.2 points |
Valid recommendation shortlist share | 84.6% | 81.4% | Down 3.2 points |
Leader by valid recommendation coverage | Duolingo | Duolingo | No change |
Qualified surface breadth refers to the number of canonical AI surface families with at least one qualified observation. The six families tested are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Language Learning Software
Research Scope and Qualification
The public benchmark is narrower than the raw collection universe by design.
Research stage | July 2026 | September 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Total prompt-surface pairs collected |
Unique questions | 464 | 518 | Distinct questions after de-duplication |
Brand / competitor mentions | 800 | 800 | Prompts mentioning a tracked brand |
Relevant observations | 800 | 792 | On-topic observations |
Irrelevant observations | 0 | 8 | Off-topic observations |
Qualified benchmark observations | 520 | 558 | Public denominator |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. Link AI Market Discovery Methodology.
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Current Brand Standings
This table is the primary current-month benchmark view, sorted by valid recommendation coverage.
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Duolingo | 95.7% | 83.0% | 50.5% | 33.3% | 0.9 |
Babbel | 85.8% | 76.9% | 51.8% | 16.7% | 0.9 |
Pimsleur | 73.3% | 66.8% | 32.4% | 3.4% | 0.9 |
italki | 53.4% | 45.7% | 12.0% | 2.0% | 0.9 |
Busuu | 49.1% | 44.6% | 12.9% | 1.1% | 0.9 |
Rosetta Stone | 46.2% | 36.6% | 5.6% | 0.7% | 0.8 |
Memrise | 37.5% | 31.0% | 4.8% | 0.4% | 0.9 |
Lingoda | 24.6% | 21.1% | 4.8% | 1.4% | 0.9 |
Mango Languages | 10.2% | 7.5% | 2.1% | 0.2% | 0.8 |
Mondly | 8.4% | 6.8% | 2.0% | 0.7% | 0.8 |
How to Read the Standings
- Presence rate: Share of qualified observations where the brand is mentioned, regardless of recommendation status.
- Valid recommendation coverage: Share of qualified observations where the brand appears with a valid recommendation.
- Top-three rate: Share of qualified observations where the brand appears in the top three recommended options.
- Rank-one rate: Share of qualified observations where the brand is the first recommendation.
- Net sentiment: Positive minus negative mentions, divided by total mentions with sentiment.
For formulas and denominator rules, see AI Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | July 2026 | September 2026 | Movement since baseline |
|---|---|---|---|
Babbel | 74.6% | 76.9% | Up 2.3 points |
Busuu | 40.8% | 44.6% | Up 3.8 points |
Duolingo | 81.7% | 83.0% | Up 1.3 points |
italki | 49.0% | 45.7% | Down 3.3 points |
Lingoda | 20.0% | 21.1% | Up 1.1 points |
Mango Languages | 10.6% | 7.5% | Down 3.1 points |
Memrise | 32.5% | 31.0% | Down 1.5 points |
Mondly | 6.2% | 6.8% | Up 0.6 points |
Pimsleur | 63.1% | 66.8% | Up 3.7 points |
Rosetta Stone | 48.5% | 36.6% | Down 11.9 points |
Largest Increase: Busuu
Busuu recorded the largest coverage increase this period, rising to 44.6% in September 2026 from 40.8% in July 2026, a gain of 3.8 percentage points. This movement was within normal month-to-month variation. Busuu's raw mention presence rate rose to 49.1% in September 2026 from 46.2% in July 2026, while its top-three rate fell to 12.9% from 18.1%. Net sentiment stood at 0.9 in September 2026. The increase was concentrated between July and August, with coverage easing slightly between August 2026 at 46.9% and September 2026 at 44.6%.
Largest Decline: Rosetta Stone
Rosetta Stone recorded the largest coverage decline, falling to 36.6% in September 2026 from 48.5% in July 2026, a drop of 11.9 percentage points. This movement was beyond normal month-to-month variation. The brand's raw mention presence rate fell to 46.2% in September 2026 from 58.3% in July 2026, also beyond normal variation, and its top-three rate fell to 5.6% from 10.4%. Net sentiment edged down from 0.9 to 0.8. The decline occurred mainly between July and August, with Rosetta Stone's coverage broadly stabilizing between August 2026 at 36.2% and September 2026 at 36.6%.
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Category Leader: Duolingo
Duolingo remains the category leader with valid recommendation coverage of 83.0% in September 2026, up 1.3 percentage points from 81.7% in July 2026. This gain was within normal month-to-month variation. The gap to Babbel, the next closest brand, narrowed to 6.1 percentage points in September 2026 from 7.1 percentage points in July 2026. Duolingo's raw mention presence rate was 95.7% in September 2026, and its rank-one rate was 33.3%.
Babbel, italki, Lingoda, Mango Languages, Memrise, Mondly, and Pimsleur all moved within normal month-to-month variation across the full series. Pimsleur's coverage rose in each of the two months since July 2026, reaching 66.8% in September 2026 from 63.1% in July 2026.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. Placement rates reveal how often brands appear in top-three or first position when recommended. Duolingo and Babbel lead on prominent placement, with Duolingo's rank-one rate notably higher than its coverage lead would suggest.
Brand | September 2026 top-three rate | September 2026 rank-one rate | July 2026 top-three rate | July 2026 rank-one rate |
|---|---|---|---|---|
Duolingo | 50.5% | 33.3% | 55.6% | 33.9% |
Babbel | 51.8% | 16.7% | 56.4% | 21.3% |
Pimsleur | 32.4% | 3.4% | 27.1% | 2.3% |
Duolingo's rank-one rate of 33.3% in September 2026 shows it is the first recommendation about a third of the time, well above Pimsleur's 3.4%, despite a coverage gap of only 16.2 percentage points between the two. This shows that similar coverage levels can still hide very different first-position rates.
Buyer-Intent Distribution
All qualified observations in both months fell into the Brand Recommendation class.
Buyer-intent class | July 2026 | September 2026 |
|---|---|---|
Brand Recommendation | 520 | 558 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 520 | 558 |
The current public series measures brand recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
Historical Measurement Record
This is an evergreen benchmark URL. New measurements are added to the same report.
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
July 2026 | 520 | Duolingo | 81.7% | None in first month |
August 2026 | 522 | Duolingo | 80.8% | Rosetta Stone, Down 12.3 points |
September 2026 | 558 | Duolingo | 83.0% | Rosetta Stone, Down 11.9 points |
Evidence and Source Layer
The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure:
- Market share or revenue attribution
- Attributable sales or conversions
- Every possible AI response, including non-public or platform-specific variations
- Organic-search ranking positions
- Social media mention volume
- Private or sponsored channels
- Causality from a metric movement alone
About This Benchmark
The LLM Authority Index AI Market Discovery Index tracks how often brands are discovered and recommended across six major AI and search surfaces. Each monthly measurement captures brand presence, recommendation coverage, placement, and sentiment from a qualified set of public observations.
- AI Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
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The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.
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