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.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
6 minutes read

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

0%25%50%75%100%Jul 2026Aug 2026Sep 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.

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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.