CiteWorks Studio

Enpass AI Market Strategy Report - Password Managers

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Enpass appeared in 7 of 528 qualified observations and earned 4 valid recommendations, resulting in 0.76% recommendation coverage.
  • The brand had no top-three or rank-one placements, with an average recommended rank of 6 when it was included.
  • Visibility was concentrated on Gemini and AI Mode, while ChatGPT, Copilot, and Perplexity showed no qualified Enpass presence.
  • The clearest opportunity is to turn existing discovery-prompt mentions into recommendations by strengthening recommendation-ready evidence and comparison signals.

Answer Capsule

Enpass is effectively absent from AI-generated password manager recommendations in September 2026. The LLM Authority Index benchmark recorded valid recommendation coverage of just 0.76% for Enpass, against a category leader at 84.09%. Enpass appeared in only 7 of 528 qualified observations, with 4 valid recommendations and zero top-three placements. The clearest opportunity is a narrow, winnable pocket of discovery prompts where the brand already surfaces but is not yet being recommended.

Who This Report Is For

This report is for Enpass leadership, product marketing, and growth teams evaluating how the brand appears in AI-led discovery for password managers, and for category analysts tracking recommendation-stage visibility across the password manager market.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Enpass

Category / market studied

Password Managers

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

3

AI observations analyzed

528

Competitors tracked

10

Executive Summary

Enpass holds almost no recommendation-stage visibility in the password manager category. The September 2026 LLM Authority Index benchmark recorded a raw mention presence rate of 1.33% and a valid recommendation coverage rate of 0.76%, meaning the brand appeared in only 7 of 528 qualified observations and was recommended as a viable option in just 4. Against a category leader at 84.09% coverage, Enpass is not competing for shortlist placement at all.

The brand's placement profile confirms the gap. Enpass recorded zero top-three recommendations and zero rank-one recommendations in September 2026. Its average recommended rank of 6 applies only to the small number of rank-eligible recommendations it did receive, and those placements sit well outside the shortlist positions where buyers make decisions.

Sentiment is not the problem. Enpass recorded 4 positive mentions, 2 neutral mentions, and 1 negative mention, producing a net sentiment score of 0.4286. That is a positive framing signal on a very small sample. The issue is not how Enpass is described when it appears, it is how rarely it appears at all.

Platform coverage is thin and uneven. Gemini produced 1 valid recommendation for Enpass, AI Mode produced 3, and AI Overviews produced 1 mention with no recommendation credit. ChatGPT, Copilot, and Perplexity recorded no Enpass presence in the September 2026 qualified set. The brand is not consistently retrievable across the AI surfaces where password manager buyers are forming shortlists.

The category itself is concentrated. Bitwarden and 1Password together hold the recommendation-stage advantage, with NordPass and Proton Pass forming a visible second tier. Enpass sits below the 1% coverage line alongside Zoho Inventory, which recorded no presence at all.

The clearest opportunity is not broad category coverage. It is a targeted push into the discovery and evaluation prompts where Enpass already surfaces, converting those rare appearances from factual references into valid recommendations. The benchmark shows the brand is findable in a narrow set of answers. The work is making those answers recommend rather than merely mention.

What Enpass Is Winning

Questions This Section Answers

  • Where does Enpass actually have positive signals in the September 2026 benchmark?
  • Which AI platforms produced valid Enpass recommendations?

Enpass has very few evidence-backed wins in the September 2026 benchmark, and the report states that plainly.

The one positive signal is framing quality. Enpass recorded a net sentiment score of 0.4286, with 4 positive mentions against 1 negative and 2 neutral. On the small number of answers where the brand appears, the framing is more positive than negative. That is a foundation, not a position.

The second signal is platform-specific. Gemini produced 1 valid recommendation for Enpass, and AI Mode produced 3. These are small counts, but they show the brand is retrievable on at least two AI surfaces. The recommendation is happening, just at a volume that does not register against the category.

No other win is supported by the data. Enpass holds no top-three placements, no rank-one placements, and no measurable share of category recommendation coverage.

Where Enpass Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Enpass mentioned roughly twice as often as it is recommended in password manager answers?
  • Which AI platforms recorded no Enpass presence at all in September 2026?

The primary gap is recommendation conversion. Enpass has a raw mention presence rate of 1.33% but a valid recommendation coverage rate of 0.76%. The brand is mentioned roughly twice as often as it is recommended. In a category where the leader converts 98.30% presence into 84.09% coverage, Enpass is leaving recommendation credit on the table every time it appears.

The second gap is platform absence. ChatGPT, Copilot, and Perplexity recorded no Enpass presence in the September 2026 qualified set. These are three of the six tracked AI surfaces, and they represent a meaningful share of where password manager buyers ask for recommendations. The brand is not in the consideration set on those surfaces at all.

The third gap is competitive displacement. When Enpass does not appear, the recommendation slot goes to a competitor. Bitwarden holds 84.09% coverage, 1Password holds 75.76%, NordPass holds 65.53%, and Proton Pass holds 62.50%. Each of those brands is capturing recommendation credit in answers where Enpass is absent. The benchmark does not show Enpass displacing any of them.

The fourth gap is cluster concentration. All 528 qualified observations in September 2026 fell into the Brand Recommendation class. The pricing and value and multi-brand comparison clusters recorded zero qualified observations in the public series. Enpass cannot yet be measured on price positioning or head-to-head comparison prompts, which means the brand's visibility story is limited to open-ended discovery questions where it is already weakest.

Biggest Opportunity

Questions This Section Answers

  • Which prompts represent the clearest opportunity to convert Enpass mentions into valid recommendations?
  • What kind of problem is Enpass facing in AI password manager recommendations?

The single biggest opportunity for Enpass is converting its existing narrow presence into valid recommendation coverage on the discovery and evaluation prompts where it already surfaces. The benchmark shows the brand appears in a small number of answers and is framed positively when it does. The gap is that those appearances are not being converted into shortlist placement.

The prompt evidence points to a specific pocket. Enpass surfaced in answers to general password manager discovery questions and to definitional prompts such as "What is a password manager?" and "password generator." These are high-volume, low-differentiation entry points where the brand is being retrieved as context rather than recommended as a choice. The work is to make those answers recommend Enpass alongside the category leaders, not just mention it.

This is a recommendation-readiness problem, not a presence problem. Enpass does not need to be more findable. It needs the public evidence layer behind it to support a recommendation, not just a reference.

Competitive Landscape

Questions This Section Answers

  • How does Enpass compare to Bitwarden, 1Password, and other password managers on recommendation placement?
  • Which competitors are capturing recommendation credit in answers where Enpass is absent?

Bitwarden and 1Password hold recommendation-stage strength in the password manager category, with NordPass and Proton Pass forming a visible second tier. Enpass sits far below the recommendation threshold, with coverage under 1% and no top-three placements.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Bitwarden

72.73%

29.55%

1.97

0.9615

1Password

69.13%

40.91%

1.61

0.9351

NordPass

41.29%

5.68%

3.15

0.9144

Proton Pass

32.01%

1.89%

3.37

0.9777

RoboForm

10.61%

4.36%

4.02

0.9108

Keeper

10.04%

0.57%

4.00

0.8664

Dashlane

4.55%

0.19%

4.39

0.7424

LastPass

1.14%

0.00%

4.00

-0.2929

Enpass

0.00%

0.00%

6.00

0.4286

Zoho Inventory

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Enpass sits at the bottom of the tracked set on every placement measure. Its 0.00% top-three rate and 0.00% rank-one rate place it below LastPass, which at least registers a small number of top-three appearances. The brand's average recommended rank of 6.00 reflects the handful of rank-eligible recommendations it received, all of which landed outside shortlist positions.

Prompt Evidence

Questions This Section Answers

  • Which specific prompts produced Enpass recommendations or mentions on each AI platform?
  • What did Enpass receive on ChatGPT, and what does that absence signal?

Gemini / Best Password Manager Discovery & Evaluation Prompt: "What is a password manager?" Result: Enpass received 1 valid recommendation on Gemini, its only recommendation credit on that platform.

AI Mode / Best Password Manager Discovery & Evaluation Prompt: "password manager" Result: Enpass received 3 valid recommendations on AI Mode, the largest single-platform contribution to its September 2026 coverage.

AI Overviews / Best Password Manager Discovery & Evaluation Prompt: "password generator" Result: Enpass appeared once as a neutral mention with no recommendation credit.

ChatGPT / Best Password Manager Discovery & Evaluation Prompt: "best password manager" Result: No Enpass presence recorded in the September 2026 qualified set.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the exact prompts, surfaces, and competitor displacement patterns where Enpass is absent or under-recommended, using the benchmark's qualified observation set as the baseline.

Phase 2: Recommendation Readiness Plan Identify which product attributes, trust signals, and comparison points need to be present in the public evidence layer for AI systems to recommend Enpass rather than merely mention it.

Phase 3: Owned Answer Layer Buildout Build owned pages and structured content that directly answer the discovery and evaluation prompts where Enpass already surfaces, giving AI systems a clear recommendation-ready source.

Phase 4: Citation / Authority Layer Development Strengthen the third-party and review-layer sources that AI systems retrieve when forming password manager shortlists, focusing on the surfaces where Enpass is currently absent.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Enpass recommendation coverage, top-three rate, and platform presence month over month against the benchmark's qualified observation set.

Why This Matters

AI presence alone is not enough. Enpass is mentioned in a small number of answers, but it is almost never recommended. In a category where buyers are forming shortlists inside AI answers, a mention without a recommendation is a lost consideration opportunity.

The next move is targeted correction of the prompt, page, and citation layers that determine whether Enpass is retrieved as context or recommended as a choice. The benchmark shows where the brand is losing. The work is closing the gap between being findable and being chosen.

Core Metrics

Metric

Value

Mentions

7

Valid recommendations

4

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

6.00

Positive mentions

4

Neutral mentions

2

Negative mentions

1

Raw mention presence rate

1.33%

Valid recommendation coverage

0.76%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.4286

Strongest cluster by recommendation behavior

Best Password Manager Discovery & Evaluation

Strongest platform by recommendation behavior

AI Mode

Sentiment Score

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

For Enpass in September 2026: (4 × 1 + 2 × 0 + 1 × -1) / 7 = 0.4286.

This matters because unclassified mention counts are misleading. A brand with 7 mentions and a positive sentiment score looks healthier than it is if those mentions are not converted into recommendations. Enpass has a positive framing signal on a very small sample, but that signal does not translate into shortlist placement.

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. Enpass needs classified sentiment and recommendation credit tracked separately before its AI visibility can be interpreted correctly.

Sentiment by Platform

Questions This Section Answers

  • How does Enpass sentiment vary across the AI platforms where it appears?
  • Which platforms show Enpass present as context rather than as a recommendation?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

1

0

1

0

0.0000

Present as context, not recommendation

Gemini

1

1

0

0

1.0000

Positive, but sample too small

Perplexity

0

0

0

0

N/A

No public presence in this packet

AI Overviews

1

0

1

0

0.0000

Present as context, not recommendation

AI Mode

4

3

0

1

0.5000

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Enpass visibility in AI-generated password manager recommendations for September 2026. It is not a client result and does not imply that any remediation work has been performed.
  2. The reporting window is September 2026, with July 2026 as the baseline month and August 2026 figures referenced in prose where relevant.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The September 2026 benchmark produced 528 qualified observations from an initial 800 prompt-surface observations.
  5. The competitor universe includes 10 tracked brands: 1Password, Bitwarden, Dashlane, Enpass, Keeper, LastPass, NordPass, Proton Pass, RoboForm, and Zoho Inventory.
  6. Three public high-intent clusters were defined: Best Password Manager Discovery & Evaluation, Password Manager Comparisons & Alternatives, and Password Manager Pricing & Plans. Only the first cluster produced qualified observations in September 2026.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is any appearance of Enpass in a qualified observation, regardless of context or sentiment.
  9. A valid recommendation is an observation where Enpass is recommended as a viable option, as marked by the dataset. Neutral, cautionary, or comparison-anchor mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 528 qualified observations as the public denominator, not the raw 800-prompt collection.
  11. The public benchmark does not measure market share, attributable sales, organic-search ranking, or causality from a metric movement alone.
  12. Enpass recorded 4 valid recommendations in September 2026. Movements on counts this small may not persist and should be read as directional signals, not stable trends.

See Where AI Is Recommending Your Brand

The public benchmark shows where Enpass is winning and losing in AI-generated password manager recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitor displacement patterns, and evidence sources behind those numbers, and turns them into a prioritized recommendation-readiness strategy.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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