Memrise AI Visibility Market Strategy Report - Language Learning Software

Answer Capsule

Memrise holds 25.6% valid recommendation coverage in the October 2026 LLM Authority Index Language Learning Software benchmark, ranking seventh of ten tracked brands. The brand is visible but under-recommended: it appears in 29.9% of qualified AI responses but converts only a portion of that presence into recommendation credit. Its clearest weakness is a second consecutive significant decline, down 6.9 percentage points from July 2026. Its clearest opportunity is converting existing top-three placements into rank-one answers, where its 0.4% rank-one rate is the lowest among brands with meaningful coverage.

Who This Report Is For

This report is for Memrise marketing, product, and growth leadership, and for category analysts tracking how language learning brands are discovered and recommended across AI and search surfaces.

Report Card

Executive Summary

Memrise is visible in AI-generated recommendations but is not converting that visibility into recommendation power at the rate its presence would suggest. The brand recorded 161 mentions across 539 qualified observations in October 2026, a raw mention presence rate of 29.9%, but only 138 of those mentions carried a valid recommendation, producing a valid recommendation coverage rate of 25.6%. That gap between presence and recommendation is the defining feature of Memrise's position in the benchmark.

The October 2026 result represents a second consecutive significant decline. Memrise fell 6.9 percentage points from 32.5% valid recommendation coverage in July 2026 to 25.6% in October 2026, and dropped 5.4 points from September's 31.0%. Both movements exceed the benchmark's threshold for normal month-to-month variation. Raw mention presence fell 10.7 points over the same period, from 40.6% to 29.9%, confirming that the decline is a presence story rather than a placement story.

When Memrise does appear, it is treated reasonably well. Its top-three placement rate rose 2.6 points from 5.0% in July 2026 to 7.6% in October 2026, and its net sentiment score stands at 0.882, with 142 positive mentions, 19 neutral mentions, and zero negative mentions. The brand is not being framed negatively. It is simply appearing in fewer AI responses.

The strongest platform signal for Memrise is Copilot, where it holds 36.07% valid recommendation coverage and a 52.46% raw mention presence rate, the highest presence rate it achieves on any tracked platform. The weakest platform signal is ChatGPT, where Memrise holds only 17.86% valid recommendation coverage despite a 19.64% mention presence rate, and records zero top-three placements and zero rank-one placements across 56 observations.

The clearest gap is rank-one placement. Memrise holds a 0.4% rank-one rate across the full benchmark, with only 2 rank-one recommendations out of 539 qualified observations. Its average recommended rank of 4.13 places it behind Duolingo (2.00), Babbel (2.02), Pimsleur (2.92), Busuu (3.58), Lingoda (3.61), and italki (3.70). The brand is being included in shortlists but is rarely the first option AI systems name.

The category context sharpens the concern. Memrise's coverage lead over the brands below it has narrowed, and the gap between the top tier and the middle of the field widened again in October 2026. Pimsleur's coverage lead over Rosetta Stone widened from 14.6 points in July to 37.5 points in October. Memrise sits in the middle of that widening spread, and the benchmark's own diagnostic question is which prompt categories dropped Memrise between September and October, and whether the same categories shifted toward a specific competitor.

What Memrise Is Winning

Questions This Section Answers

• Where does Memrise currently show the strongest positive signal in AI responses?
• Which platform gives Memrise its best recommendation coverage despite the overall decline?
• How has Memrise's placement quality improved even as its presence has fallen?

Memrise's wins are narrow but real. The brand holds a positive net sentiment score of 0.882, with zero negative mentions across 161 total mentions in October 2026. That is a clean framing position: AI systems are not cautioning against Memrise, they are simply mentioning it less often.

The brand's top-three placement rate improved from 5.0% in July 2026 to 7.6% in October 2026, a gain of 2.6 points. This means that when Memrise does appear in an AI response, it is being placed in a top-three recommendation position more often than at baseline. The brand's placement quality is improving even as its presence declines.

On Copilot, Memrise achieves its strongest platform result: 36.07% valid recommendation coverage, 52.46% raw mention presence, and a 4.90 average recommended rank across 61 observations. This is a meaningful pocket of recommendation strength on a single platform.

Memrise also maintains a presence on Perplexity that outpaces several higher-ranked brands in absolute coverage terms. Its 35.00% valid recommendation coverage on Perplexity matches Lingoda's and is competitive within the middle tier.

These wins are modest. Memrise does not hold a dominant position on any platform, does not lead any cluster, and does not outperform the category leaders on any metric. The brand's position is best described as present but under-recommended, with improving placement quality inside a shrinking presence base.

Where Memrise Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Memrise being mentioned in AI responses more often than it is being recommended?
• Where is the gap between Memrise's top-three placements and rank-one recommendations most visible?
• Which platform shows the sharpest disconnect between Memrise mentions and actual recommendations?

Memrise's clearest gap is the conversion of presence into recommendation. The brand appears in 29.9% of qualified AI responses but receives valid recommendation credit in only 25.6%. That 4.3-point gap means roughly one in seven mentions of Memrise is a reference without a recommendation. The brand is being named, but not always as an option worth choosing.

The rank-one gap is more severe. Memrise holds a 0.4% rank-one rate, with only 2 rank-one recommendations across 539 qualified observations. By comparison, Duolingo holds a 43.2% rank-one rate, Babbel 19.1%, Pimsleur 7.0%, italki 4.5%, Busuu 2.6%, and Lingoda 2.2%. Memrise is being included in shortlists but is almost never the first option AI systems name. This is the definition of visibility without recommendation conversion.

The ChatGPT gap is the most actionable platform-level weakness. Across 56 ChatGPT observations, Memrise holds 17.86% valid recommendation coverage, 19.64% raw mention presence, and zero top-three placements. The brand is mentioned on ChatGPT but is not being placed in recommendation positions at all. This is a platform where Memrise is present as context, not as a recommendation.

The decline pattern compounds the concern. Memrise's coverage fell in each of the two months since August 2026, from 32.5% in July to 25.6% in October. The benchmark identifies this as a second consecutive significant decline. The brand's raw mention presence fell 10.7 points over the same period, from 40.6% to 29.9%. The decline is concentrated in visibility, not in how Memrise is treated when it appears.

Competitive displacement is a factor. The benchmark's diagnostic question for Memrise is which prompt categories dropped the brand between September and October, and whether the same categories shifted toward a specific competitor. The category-level data shows that Babbel and Pimsleur were the significant risers over the same period, with Babbel gaining 6.9 points and Pimsleur gaining 8.9 points in valid recommendation coverage. The middle of the field is being squeezed.

Biggest Opportunity

Questions This Section Answers

• What specific opportunity could move Memrise from being mentioned to being chosen in AI recommendations?
• Which prompts and platforms define Memrise's most actionable path to closing its rank-one gap?
• What does the absence of qualified Pricing & Value and Multi-Brand Comparison clusters mean for Memrise's current opportunity set?

Memrise's single biggest opportunity is converting its existing top-three placements into rank-one answers. The brand holds a 7.6% top-three rate but only a 0.4% rank-one rate. That is a 7.2-point gap between being in the shortlist and being named first. Closing even a portion of that gap would move Memrise from a brand that is mentioned to a brand that is chosen.

This opportunity is specific and measurable. The benchmark's own diagnostic for Memrise asks which prompt categories dropped the brand between September and October, and whether the same categories shifted toward a specific competitor. The answer to that question identifies the exact prompts where Memrise is losing presence. The rank-one gap identifies the prompts where Memrise is present but not first. Together, these two diagnostics define the remediation path.

The opportunity is concentrated in the Brand Recommendation cluster, which is the only qualified buyer-intent cluster in the October 2026 benchmark. All 539 qualified observations fall into this cluster. There are no qualified observations in Pricing & Value or Multi-Brand Comparison, meaning the public benchmark cannot yet answer questions about how AI systems position Memrise on price, value, or head-to-head comparison. The current evidence is confined to direct brand recommendation behavior.

The platform dimension matters. Memrise's strongest platform is Copilot, where it holds 36.07% valid recommendation coverage. Its weakest is ChatGPT, where it holds 17.86% coverage and zero top-three placements. The opportunity is to close the ChatGPT gap while defending the Copilot position. ChatGPT represents the largest single-platform opportunity pool in the benchmark, with 65,730 in total monthly AI opportunity value across the category, and Memrise is capturing only a small fraction of it.

Competitive Landscape

Questions This Section Answers

• Where does Memrise rank in top-three and rank-one recommendation rates compared with other language learning brands?
• How does Memrise's average recommended rank compare to Duolingo, Babbel, and Pimsleur?
• Which competitors are consistently placed ahead of Memrise in AI-generated shortlists?

Duolingo and Babbel hold recommendation-stage strength in the Language Learning Software category, with Pimsleur as the clear third challenger. Memrise sits in the middle of the field, ranked seventh by valid recommendation coverage, behind italki, Busuu, and Rosetta Stone.

Average recommended rank covers rank-eligible recommendations only.

Memrise's 7.61% top-three rate places it eighth of ten, behind Lingoda's 8.91% and Rosetta Stone's 11.87% despite Rosetta Stone's sharp coverage decline. Its 0.37% rank-one rate is the lowest among brands with meaningful coverage, tied with Mango Languages and Mondly at the bottom of the table. The brand's average recommended rank of 4.13 is the fourth-worst in the category, ahead of only Mango Languages (4.34) and Mondly (4.32). Memrise is being included in shortlists but is being placed near the bottom of them.

Prompt Evidence

ChatGPT / Best Language Learning Models & Apps Prompt: "What is the best app to learn any language?" Result: Memrise was mentioned but received zero top-three placement and zero rank-one placement across 56 ChatGPT observations, holding 17.86% valid recommendation coverage.

Copilot / Best Language Learning Models & Apps Prompt: "What is the best language learning tool?" Result: Memrise achieved its strongest platform result on Copilot, with 36.07% valid recommendation coverage and a 52.46% raw mention presence rate.

Perplexity / Best Language Learning Models & Apps Prompt: "Which app is best to learn all languages?" Result: Memrise held 35.00% valid recommendation coverage on Perplexity, matching Lingoda and exceeding its own benchmark-wide coverage rate.

Gemini / Best Language Learning Models & Apps Prompt: "What is the best way for an adult to learn Spanish?" Result: Memrise held 21.74% valid recommendation coverage on Gemini, with a 4.00 average recommended rank and zero rank-one placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the exact prompts where Memrise lost presence between September and October 2026, and identify which competitors absorbed that presence.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT gap, where Memrise holds zero top-three placements, and the rank-one gap, where the brand holds only 2 rank-one recommendations across 539 observations.

Phase 3: Owned Answer Layer Buildout Build owned content that directly answers the high-intent prompts where Memrise is mentioned but not recommended, with clear positioning against the brands that are being named first.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems retrieve from, including review sites, comparison pages, and community sources that shape recommendation-stage answers.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Memrise's presence, recommendation coverage, top-three rate, and rank-one rate monthly to confirm whether the decline has stabilized and whether placement quality continues to improve.

Why This Matters

AI presence alone is not enough. Memrise appears in 29.9% of qualified AI responses but receives valid recommendation credit in only 25.6%. The brand is being named, but not always as an option worth choosing. In a category where Duolingo holds a 43.2% rank-one rate and Babbel holds a 19.1% rank-one rate, being mentioned without being recommended is a commercial liability.

The next move is targeted correction of the prompt, page, and citation layers. The benchmark identifies where attention is warranted: the ChatGPT gap, the rank-one gap, and the second consecutive significant decline. A company-level audit identifies why those gaps exist and which prompts, competitors, and sources are driving them. The October 2026 data shows Memrise's decline but does not show which prompts changed or which evidence sources drove the shift. That is the work that comes next.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does Memrise's high sentiment score not translate into stronger recommendation performance?
• What does Memrise's zero-negative-mention profile reveal about how AI systems frame the brand?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

Memrise's sentiment score for October 2026 is 0.882, calculated from 142 positive mentions, 19 neutral mentions, and 0 negative mentions across 161 total mentions.

This matters because unclassified mention counts are misleading. A brand with 161 mentions and a 0.882 sentiment score is in a different position than a brand with 161 mentions and a 0.500 sentiment score, even though the raw mention count is identical. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Memrise's sentiment position is clean. The brand has zero negative mentions and a high positive-to-neutral ratio. The problem is not how Memrise is framed when it appears. The problem is how often it appears at all, and how rarely it is named first.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Memrise's AI recommendation visibility in the Language Learning Software category for October 2026. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
2. The reporting window is October 2026, with comparison data from July 2026, August 2026, and September 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The benchmark began with 800 prompt-surface observations in October 2026 and produced 539 qualified observations after qualification. Brand-level percentages use the qualified observations as the public denominator.
5. Ten brands were tracked: Babbel, Busuu, Duolingo, italki, Lingoda, Mango Languages, Memrise, Mondly, Pimsleur, and Rosetta Stone.
6. One buyer-intent cluster was qualified in October 2026: Best Language Learning Models & Apps (C01). All 539 qualified observations fell into this cluster. Pricing & Value and Multi-Brand Comparison clusters had no qualified observations.
7. Unique questions totaled 520 in October 2026, up from 464 in July 2026. Relevant prompts totaled 795, and irrelevant prompts totaled 5.
8. A mention is defined as any appearance of Memrise in a qualified AI response, regardless of recommendation status. Memrise recorded 161 mentions in October 2026.
9. A valid recommendation is defined as a mention where Memrise appears with a valid recommendation. Memrise recorded 138 valid recommendations in October 2026.
10. Top-three rate is the share of qualified observations where Memrise appears in the top three recommended options. Rank-one rate is the share of qualified observations where Memrise is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. The benchmark identifies where attention is warranted. It does not establish why a brand gained or lost recommendation credit. Significant movement indicates a change worth investigating, not a proven cause.
12. Limitations: The public benchmark does not measure market share, revenue attribution, attributable sales or conversions, organic-search ranking positions, social media mention volume, or private or sponsored channels. A movement in this benchmark cannot be read as proof of cause, revenue impact, or market share.

See How AI Is Recommending Your Brand

The public benchmark shows where Memrise is winning and losing recommendation credit across AI platforms. A company-level AI visibility audit maps the exact prompts, competitors, and evidence sources shaping those results, and identifies the highest-priority opportunities to close the gap between being mentioned and being recommended.