OneSpan Sign AI Visibility Market Strategy Report - eSignature Software

Answer Capsule

OneSpan Sign holds a very small position in AI-generated eSignature recommendations for October 2026, with valid recommendation coverage of 3.07% across 456 qualified observations. The brand appears in 15 of 456 qualified observations and receives 14 valid recommendations, but only 3 of those reach a top-three position and just 1 reaches rank one. Its clearest strength is framing quality: a net sentiment score of 0.9333, the highest in the tracked set. Its clearest weakness is scale: presence rate of 3.29% leaves the brand absent from more than 96% of qualified recommendation opportunities in the category.

Who This Report Is For

This report is for OneSpan Sign's marketing, product marketing, and demand generation leadership, and for category analysts tracking how eSignature brands are surfaced in AI-led discovery.

Report Card

Executive Summary

OneSpan Sign is visible but under-recommended in the October 2026 eSignature Software benchmark. The brand recorded 15 mentions across 456 qualified observations, a raw mention presence rate of 3.29%, and 14 valid recommendations, a valid recommendation coverage of 3.07%. Those two figures sit close together, which means that when OneSpan Sign does appear, it is usually framed as a recommendation rather than as a passing reference. The problem is not framing quality. The problem is how rarely the brand appears at all.

The strongest signal in the data is sentiment. OneSpan Sign's net sentiment score of 0.9333 is the highest of any tracked brand in the category, ahead of SignNow at 0.8333, PandaDoc at 0.8282, and category leader DocuSign at 0.7517. Of the 15 mentions, 14 were positive and 1 was neutral. There were no negative mentions. That is a clean framing profile, and it suggests that when AI systems do discuss OneSpan Sign, they describe it favorably.

The weakest signal is recommendation placement. OneSpan Sign holds a top-three rate of 0.66% and a rank-one rate of 0.22%. In practical terms, the brand reached a top-three recommendation position in 3 of 456 qualified observations and was the single first recommendation in 1. Its average recommended rank of 5.0 is the lowest placement average among brands with rank-eligible recommendations, behind Foxit eSign at 4.7778 and GetAccept at 4.3571. Even when OneSpan Sign is recommended, it tends to appear late in the list.

The strongest platform signal is Google AI Overviews. OneSpan Sign recorded 8 mentions on that surface, 7 of them positive, with a valid recommendation coverage of 5.93% and a net sentiment score of 0.875. That is the only platform where the brand's coverage rises meaningfully above its category-wide average. The brand also recorded 2 mentions on ChatGPT and 3 on Google AI Mode, with 1 rank-one placement on AI Mode.

The clearest platform gap is Copilot, Gemini, and Perplexity. OneSpan Sign recorded no valid recommendations on Copilot, Gemini, or Perplexity in October 2026. On Copilot the brand appeared once with positive framing but no recommendation credit. On Gemini and Perplexity the brand recorded no measurable presence at all. Those three surfaces represent a substantial share of the tracked observation base and currently contribute nothing to OneSpan Sign's recommendation footprint.

The clearest cluster gap is structural. All 456 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Comparison and Alternatives cluster and the Pricing and Plans cluster recorded no qualified observations in either July 2026 or October 2026. That means the benchmark cannot yet show how OneSpan Sign performs in head-to-head comparison prompts or pricing prompts, which are typically the highest-intent moments in a software buying journey. The absence of data is a measurement limitation, not evidence that the brand is absent from those conversations.

What OneSpan Sign Is Winning

Questions This Section Answers

• Where does OneSpan Sign rank on sentiment compared to DocuSign and other competitors?
• How efficiently does OneSpan Sign convert AI mentions into recommendations?
• Which platform shows the strongest recommendation behavior for OneSpan Sign?

OneSpan Sign's clearest win is framing quality. The brand's net sentiment score of 0.9333 is the highest in the tracked set, and it recorded zero negative mentions across 456 qualified observations. Fourteen of its 15 mentions were positive. That is a cleaner framing profile than DocuSign, PandaDoc, Adobe Acrobat Sign, Dropbox Sign, SignNow, Signeasy, GetAccept, or Foxit eSign.

The second win is recommendation conversion within its own mention base. OneSpan Sign converted 14 of 15 mentions into valid recommendations, a ratio of 93.3%. That is the highest conversion rate from mention to valid recommendation in the tracked set. DocuSign converted 321 of 451 mentions, PandaDoc converted 281 of 355, and Adobe Acrobat Sign converted 255 of 359. OneSpan Sign's mention base is far smaller, but the brand is not being mentioned as filler. When it appears, it is being recommended.

The third win is Google AI Overviews. OneSpan Sign recorded a valid recommendation coverage of 5.93% on that surface, nearly double its category-wide coverage of 3.07%, with a net sentiment score of 0.875. That is the brand's strongest platform by recommendation behavior and the clearest evidence that the brand can earn recommendation credit when the retrieval and synthesis conditions are favorable.

These wins are real but narrow. OneSpan Sign is not winning recommendation share at category scale. It is winning framing quality and mention-to-recommendation efficiency inside a very small footprint.

Where OneSpan Sign Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How does OneSpan Sign's presence rate compare to competitors like Signeasy and Dropbox Sign?
• Why does OneSpan Sign's average recommended rank of 5.0 limit its visibility?
• Which platforms have no measurable OneSpan Sign recommendations?

The largest gap is raw presence. OneSpan Sign's raw mention presence rate of 3.29% means the brand is absent from 96.71% of qualified observations. DocuSign appears in 98.90% of qualified observations, PandaDoc in 77.85%, Adobe Acrobat Sign in 78.73%, Dropbox Sign in 60.53%, and SignNow in 50.00%. Even Signeasy, which holds a much smaller recommendation footprint than the leaders, appears in 16.23% of qualified observations, roughly five times OneSpan Sign's presence rate. The brand is not losing recommendation contests at scale. It is not entering them.

The second gap is recommendation placement. OneSpan Sign's top-three rate of 0.66% and rank-one rate of 0.22% place it near the bottom of the tracked set on both measures. Foxit eSign holds a top-three rate of 0.44% and a rank-one rate of 0.22%, and GetAccept holds a top-three rate of 1.10% and a rank-one rate of 0.22%. OneSpan Sign sits between them on top-three placement and level with them on rank-one placement. The brand's average recommended rank of 5.0 is the lowest in the tracked set, which means that even when it earns a recommendation, it typically appears fifth in the list rather than first or second.

The third gap is platform coverage. OneSpan Sign recorded no valid recommendations on Copilot, Gemini, or Perplexity in October 2026. On Copilot the brand appeared once with positive framing but no recommendation credit. On Gemini and Perplexity the brand recorded no measurable presence. Those three surfaces account for a meaningful share of the tracked observation base, and they currently contribute nothing to OneSpan Sign's recommendation footprint. By contrast, DocuSign recorded valid recommendation coverage of 60.00% on Copilot, 49.28% on Gemini, and 67.19% on Perplexity. The gap on those surfaces is not incremental. It is structural.

The fourth gap is cluster coverage. All 456 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Comparison and Alternatives cluster and the Pricing and Plans cluster recorded no qualified observations in either July 2026 or October 2026. That means the benchmark cannot yet show how OneSpan Sign performs when a buyer asks an AI system to compare eSignature vendors head to head or to explain pricing and plan differences. Those are the moments where shortlists are formed and where recommendation placement matters most. The absence of qualified observations in those clusters is a measurement limitation, but it also means OneSpan Sign has no measurable recommendation footprint in the two buyer-intent classes that sit closest to a purchase decision.

Biggest Opportunity

Questions This Section Answers

• How can OneSpan Sign convert its sentiment advantage into more recommendation appearances?
• Which platforms offer the most realistic path to closing the recommendation gap?

The clearest opportunity for OneSpan Sign is to convert its framing advantage into presence at the recommendation stage. The brand already earns positive framing at a higher rate than any competitor in the category. What it lacks is the retrieval and citation footprint that would cause AI systems to surface it more often in the first place.

The most actionable path runs through Google AI Overviews and Google AI Mode, where OneSpan Sign already shows measurable recommendation behavior. Google AI Overviews is the brand's strongest platform by coverage at 5.93%, and Google AI Mode contributed the brand's single rank-one placement. Both surfaces draw heavily on search-visible, retrievable content. Building a stronger owned answer layer and a more complete citation footprint on the pages that AI systems already retrieve for eSignature queries would give the brand a realistic path from occasional recommendation to consistent shortlist presence.

The secondary path runs through Copilot, Gemini, and Perplexity, where the brand currently records no valid recommendations. Those surfaces represent a substantial share of the tracked observation base and are currently contributing nothing. Closing even a modest portion of that gap would move OneSpan Sign's category-wide coverage meaningfully, because the brand's current base is so small that small absolute gains translate into large percentage movements.

Competitive Landscape

Questions This Section Answers

• Where does OneSpan Sign rank on top-three and rank-one rates compared to DocuSign and other competitors?
• What does the gap between OneSpan Sign's sentiment and placement metrics reveal about its competitive position?

DocuSign holds dominant recommendation power in the October 2026 eSignature Software benchmark, with PandaDoc and Adobe Acrobat Sign as the strongest challengers. OneSpan Sign sits near the bottom of the tracked set on recommendation-stage strength, with a top-three rate of 0.66% and a rank-one rate of 0.22%.

Average recommended rank covers rank-eligible recommendations only.

OneSpan Sign ranks eighth of ten tracked brands on top-three rate and holds the lowest average recommended rank in the set at 5.0. Its sentiment score of 0.9333 is the highest in the table, which means the brand's framing quality is not the constraint. The constraint is how rarely it reaches a recommendation position at all.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What is the most reliable e-signature service?" Result: OneSpan Sign appeared with positive framing and earned recommendation credit, contributing to the brand's strongest platform coverage reading of 5.93%.

Google AI Mode / Brand Recommendation Prompt: "What is the cheapest e-signature service?" Result: OneSpan Sign recorded its single rank-one placement of the month on this surface, the only observation where the brand was the first recommendation.

ChatGPT / Brand Recommendation Prompt: "What is an e-signature service?" Result: OneSpan Sign appeared with positive framing and earned recommendation credit, one of two ChatGPT observations that produced a valid recommendation.

Copilot / Brand Recommendation Prompt: "Is there a free e-signature service?" Result: OneSpan Sign appeared once with positive framing but did not receive recommendation credit, leaving the brand with no valid recommendations on Copilot for the month.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts, surfaces, and source pages currently produce OneSpan Sign mentions, and identify the retrieval conditions behind the brand's Google AI Overviews strength.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot, Gemini, and Perplexity surfaces where the brand records no valid recommendations, and define the content and citation conditions needed to enter those answers.

Phase 3: Owned Answer Layer Buildout Strengthen the pages that answer high-intent eSignature questions directly, so AI systems have a clear, retrievable source for OneSpan Sign's positioning, use cases, and differentiators.

Phase 4: Citation / Authority Layer Development Build the third-party and comparison-layer sources that AI systems draw on when forming eSignature shortlists, since the brand's current citation footprint is thin relative to the leaders.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment by platform and cluster, so movement in the brand's small base is measured against a consistent baseline.

Why This Matters

Questions This Section Answers

• What share of AI-generated eSignature answers now produce ranked recommendations?
• Why is presence the core problem for OneSpan Sign when its sentiment score is the highest in the category?

AI systems are now forming eSignature shortlists before a buyer ever visits a vendor website. In October 2026, 62.5% of qualified observations produced a recommendation-shaped answer, up from 48.4% in July 2026, and 77.2% produced a valid recommendation shortlist, up from 69.9%. Buyers are increasingly asking AI systems which eSignature vendor to choose, and those systems are answering with ranked lists.

OneSpan Sign's framing quality is not the problem. The brand earns the highest sentiment score in the category and converts nearly every mention into a recommendation. The problem is that it appears in only 3.29% of qualified observations, which means it is absent from the vast majority of recommendation moments. Presence alone is not enough, but without presence there is no recommendation to win. The next move is targeted correction of the prompt, page, and citation layers that determine whether OneSpan Sign enters the answer at all.

Core Metrics

Sentiment Score

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

For OneSpan Sign in October 2026: (14 × 1 + 1 × 0 + 0 × -1) / 15 = 0.9333.

This matters because unclassified mention counts are misleading. A brand that appears 15 times with 14 positive mentions and 1 neutral mention is in a very different position from a brand that appears 15 times with 5 positive mentions, 5 neutral mentions, and 5 negative mentions. Counting all mentions as wins is bad measurement. 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, and treating them as equal hides the signal that actually matters.

OneSpan Sign's sentiment score of 0.9333 is the highest in the tracked set. That tells us the brand's framing quality is strong. It does not tell us the brand is winning recommendation share, because sentiment and coverage are separate metrics. Classified sentiment is required before interpreting AI visibility, and in OneSpan Sign's case it shows a brand with excellent framing and very limited reach.

Sentiment by Platform

Methodology

1. This report is benchmark-based analysis of OneSpan Sign's position in the eSignature Software category, drawn from the LLM Authority Index AI Visibility Market Discovery Index for October 2026. It is not a client implementation case study.
2. The reporting month is October 2026. The comparison baseline is July 2026, the first month in the current series.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six produced at least one qualified observation in the reporting period.
4. The benchmark collected 800 prompt-surface observations in October 2026, containing 496 unique questions. Of those, 800 mentioned a tracked brand or competitor, 785 were relevant to the eSignature Software category, and 15 were irrelevant.
5. The qualified benchmark set contains 456 observations, which is the denominator for all brand-level percentages in this report.
6. Ten brands were tracked: DocuSign, Adobe Acrobat Sign, Dropbox Sign, Foxit eSign, GetAccept, OneSpan Sign, PandaDoc, Signeasy, SignNow, and Zoho Inventory.
7. Three public high-intent clusters were defined: Brand Recommendation (consideration stage), Comparison and Alternatives (evaluation stage), and Pricing and Plans (decision stage). Only the Brand Recommendation cluster produced qualified observations in October 2026.
8. A mention is counted when a tracked brand appears at least once in a qualified AI response. A valid recommendation is counted when the brand receives a clear, actionable recommendation in any position, as marked by the benchmark's extraction process.
9. Top-three rate measures how often a brand appears in the first three recommended positions. Rank-one rate measures how often a brand is the single first recommendation. Average recommended rank covers rank-eligible recommendations only.
10. Net sentiment is calculated as positive mentions minus negative mentions, divided by total mentions, on a scale from -1 to 1. It measures framing quality, not customer sentiment.
11. The benchmark's public series does not include qualified observations in the Comparison and Alternatives or Pricing and Plans clusters for July 2026 or October 2026. Conclusions about OneSpan Sign's performance in those buyer-intent classes cannot be drawn from this dataset.
12. Source presence in the benchmark's citation layer is evidence about the information environment. It is not automatically proof that a source caused a recommendation. Movement between months identifies changes worth investigating and does not by itself establish cause.

See How AI Is Recommending Your Brand

The public benchmark shows where OneSpan Sign stands in AI-generated eSignature recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source pages that shape those answers, and turns them into a prioritized plan for entering more recommendation shortlists.