How AI Search Is Recommending Password Managers: Monthly Trends

Executive Summary

Bitwarden remains the category leader in September 2026, holding valid recommendation coverage of 84.1%, up 3.3 points from 80.8% in July. The gap to second-place 1Password, which sits at 75.8% coverage, is 8.3 points. Bitwarden's month-over-month movement was down 4.9 points from August's 89.0% peak — a significant single-month decline — but that move still left the brand's baseline-to-current change at a stable 3.3-point gain. 1Password's coverage also fell 5.6 points from August to September, a significant prior-month move that widened the gap between the two leaders to 8.3 points, though it did not change their relative order.

The category's largest movement across the July-to-September baseline appears on a secondary metric: RoboForm's top-three recommendation rate climbed 5.1 points from 5.5% to 10.6%. The largest decliner on the primary coverage metric is 1Password, down 2.3 points from 78.1% in July to 75.8% in September, though that baseline movement fell within normal variation. No tracked brand registered a significant change in valid recommendation coverage across the baseline period, making this a month of category-wide stability punctuated by narrower movements beneath the headline metric.

The key story this month is the pullback from August's elevated levels across the upper tier. Bitwarden, 1Password, NordPass, and Proton Pass all held September coverage above their July baselines but below their August peaks, indicating that August's higher readings did not carry into September for these four brands.

Each monthly benchmark run begins with 800 prompt-surface observations across the tracked AI/search surface universe: 468 unique questions in September and 390 in July, with all 800 prompts in both months mentioning a tracked brand or competitor. Of those, 767 were relevant and 33 irrelevant in September, versus 784 relevant and 16 irrelevant in July. Brand-level metrics use the 528 qualified observations in September and 530 in July that survived both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

These two research stages sit inside the same qualification pipeline: the funnel above shows how the raw prompt-surface volume narrows down to the qualified benchmark set, while the metrics below summarize how that qualified set performed at the category level.

Benchmark-Level Metrics

The August peak of 89.0% represents the high point of the series for Bitwarden; September's 84.1% still sits above the July baseline. The August spike in recommendation-shaped answer share (65.6%) also settled back in September to 51.5%, closer to July's 50.0% level.

AI Recommendation Trend

The two-brand leadership structure held, with Bitwarden ahead of 1Password, while the upper mid-tier converged within a narrower band than in August.

No brand's baseline-to-current movement exceeded normal variation on the primary coverage metric, though Bitwarden and 1Password each registered a significant single-month decline from August to September. Bitwarden maintained its leadership position despite that pullback, and 1Password's decline did not change its second-place standing.

What Changed This Month

Bitwarden

Bitwarden's valid recommendation coverage moved down 4.9 points from August's 89.0% peak to 84.1% in September, a significant single-month decline. Against the July baseline of 80.8%, the brand still holds a 3.3-point gain, keeping its overall classification stable.

Bitwarden's top-three recommendation rate rose 3.3 points to 72.7% from 69.4% in July, while its rank-one rate moved down 1.4 points to 29.5% from 30.9%. Raw mention presence climbed to 98.3%, up 1.9 points from 96.4%.

The distinction: Bitwarden's coverage pullback came from a broad retreat in how often it appeared in recommendation shortlists, not from a loss of presence. The brand remains present in nearly every qualified answer, with only 9 of 528 observations in September not mentioning it.

Highest-priority diagnostic: Which specific prompt types drove the August-to-September coverage decline, and does the brand's lower coverage reflect a shift in how AI systems structure recommendation lists rather than a loss of competitive standing?

1Password

1Password's valid recommendation coverage fell 5.6 points from 81.4% in August to 75.8% in September, a significant prior-month move that erased most of its August gain. Against the July baseline of 78.1%, the brand is down 2.3 points, a change within normal variation.

1Password's rank-one rate, however, rose 4.9 points from 36.0% in July to 40.9% in September, keeping the brand as the clear top-placement leader. Its raw mention presence fell 4.0 points from 94.5% to 90.5%.

The distinction: 1Password is being recommended across fewer answers, but when it is recommended, it is more likely to hold the top slot. The brand lost ground on coverage breadth while strengthening its position within the answers where it appears.

Highest-priority diagnostic: Which answer types dropped 1Password from their recommendation shortlists, and what distinguishes the answers where the brand still earns first-place placement?

NordPass

NordPass held valid recommendation coverage of 65.5% in September, up 4.2 points from 61.3% in July but down 5.5 points from August's 71.0% peak. The prior-month decline fell just inside the significance threshold, keeping the brand classified as stable.

NordPass's raw mention presence rose 7.7 points from 69.8% to 77.5% across the baseline. Its top-three rate rose 4.9 points to 41.3% from 36.4%, while rank-one placement moved down slightly from 5.9% to 5.7%.

The distinction: NordPass is being mentioned more often, and its top-three positioning improved, even as its overall recommendation coverage pulled back from August levels. The brand converted added presence into stronger placement in some answers while losing coverage breadth elsewhere.

Highest-priority diagnostic: Which surfaces account for NordPass's sustained presence gain, and why did that presence not translate into higher overall coverage in September?

LastPass

LastPass's valid recommendation coverage fell to 2.8% in September, down 3.3 points from August's 6.1%, a significant prior-month move. Against the July baseline of 4.9%, the brand is down 2.1 points, within normal variation. The brand recorded only 15 valid recommendations in September, down from 33 in August and 26 in July.

LastPass's raw mention presence fell 14.8 points from 41.3% in July to 26.5% in September, the sharpest presence decline in the category. Its net sentiment score held at -0.3, unchanged from July.

The distinction: LastPass is both being mentioned less often and recommended less often, with no offsetting improvement in sentiment. The brand's presence decline spans the full baseline period, and it now holds just over a quarter of the mention presence it needs to compete for recommendation slots.

Highest-priority diagnostic: Which prompt categories have dropped LastPass from their answers entirely, and do the remaining mentions cluster in factual or cautionary responses rather than recommendation shortlists?

RoboForm

RoboForm's top-three recommendation rate rose 5.1 points from 5.5% in July to 10.6% in September, the largest secondary-metric movement in the category. Its overall coverage rose 1.9 points to 34.5% from 32.6%, within normal variation.

RoboForm's rank-one rate rose 2.1 points from 2.3% to 4.4%, and its raw mention presence moved up 1.1 points to 40.3%. The brand recorded 182 valid recommendations in September, up from 173 in July.

The distinction: RoboForm is improving placement quality faster than it is expanding coverage breadth. The top-three gain suggests placement within recommendation lists is improving, rather than simply an expansion in how many answers include the brand.

Highest-priority diagnostic: Which prompt types drove RoboForm's top-three improvement, and is the gain concentrated on specific AI surfaces or spread across the benchmark?

Keeper and Dashlane

Keeper and Dashlane, the two brands in the 30% coverage band, both moved within normal variation across the baseline. Keeper's coverage fell 1.0 points from 33.2% to 32.2%, while its top-three rate rose 2.8 points to 10.0%. Dashlane's coverage fell 1.4 points from 28.5% to 27.1%, with top-three placement down 2.5 points to 4.5%.

Keeper's rank-one presence rose from a single valid recommendation in July to 3 in September. Dashlane's rank-one count fell from 3 in July to 1 in September.

The distinction: Keeper improved placement quality while Dashlane lost ground on the same measure. Both brands maintained stable presence rates, so the divergence reflects a difference in where each is ranked within answers, not whether either appears.

Highest-priority diagnostic: Which evidence sources or product attributes are associated with Keeper's improved top-three positioning, and what changed for Dashlane in the answers where it previously held first place?

Buyer-Intent Interpretation

The September qualified observations fell entirely within the discovery and consideration cluster (528 observations), with zero qualified observations in the comparison or pricing clusters.

The public benchmark therefore cannot yet answer price, value, or head-to-head comparison questions for the password managers vertical. The competitive signals in this report reflect recommendation behavior on discovery-style prompts only.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery
• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count brands (Enpass with 4 valid recommendations, Zoho Vault and LastPass with 15 or fewer) show movements that may not persist; absolute counts are named beside percentages.
• The qualified denominator (528 observations) differs from the raw collection (800 prompts); brand-level percentages reflect only qualified observations that survived both qualification stages.
• Movement between months is directional analysis that identifies changes worth investigating, not proof of cause.
• The July-to-September series uses July as baseline; August figures belong in prose, not table columns.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentage sit questions the public benchmark cannot answer: which high-intent prompts a brand wins or loses, which competitor takes the recommendation when a brand loses the slot, and which external sources shape those answers. These patterns determine whether a coverage gain is durable or a single-prompt artifact.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into actionable intelligence for a specific brand's position.

Request an AI visibility audit