CiteWorks Studio

OneSpan Sign AI Market Strategy Report - eSignature Software

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • OneSpan Sign appeared in 14 of 457 qualified observations and earned 12 valid recommendations, resulting in 2.63% recommendation coverage.
  • The brand’s sentiment was strong at 0.8571, with 12 positive mentions, 2 neutral mentions, and no negative mentions.
  • Visibility was concentrated on Google AI Overviews and Google AI Mode, while ChatGPT, Copilot, and Perplexity contributed little or no recommendation presence.
  • The main gap is placement: OneSpan Sign had no rank-one results, only 2 top-three placements, and an average recommended rank of 5.64.

Answer Capsule

OneSpan Sign holds minimal recommendation-stage visibility in the eSignature Software category, with valid recommendation coverage of just 2.63% in September 2026. The brand appears in only 3.06% of qualified observations, and while its framing is positive with a net sentiment score of 0.8571, it converts almost none of that presence into top-three placement. The clearest opportunity lies in building the public evidence layer needed to move from occasional mention to consistent recommendation, particularly on Google AI Mode and Google AI Overviews where its limited presence is concentrated.

Who This Report Is For

This report is for product marketing, demand generation, and brand strategy leaders at OneSpan Sign who need to understand why the brand is rarely recommended by AI systems when buyers ask for eSignature software recommendations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

OneSpan Sign

Category / market studied

eSignature Software

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

457

Competitors tracked

10

Executive Summary

OneSpan Sign is present in AI-generated eSignature recommendations, but only barely. The September 2026 LLM Authority Index benchmark shows the brand appearing in 14 of 457 qualified observations, a raw mention presence rate of 3.06%. Of those appearances, 12 produced valid recommendations, giving OneSpan Sign a valid recommendation coverage of 2.63%. The brand holds no rank-one placements and only 2 top-three placements across the entire benchmark.

The strongest signal for OneSpan Sign is its sentiment profile. The brand recorded 12 positive mentions, 2 neutral mentions, and no negative mentions, producing a net sentiment score of 0.8571. When AI systems do reference OneSpan Sign, they frame it constructively. The problem is not how the brand is described; it is whether the brand is considered at all.

The weakest cluster is the only cluster with qualified observations: Best eSignature Software Discovery & Evaluation. OneSpan Sign's valid recommendation coverage of 2.63% in this cluster places it ninth among ten tracked brands, ahead of only Zoho Inventory. The brand's average recommended rank of 5.64 when it does appear confirms that even its positive mentions rarely translate into prominent placement.

The strongest platform signal comes from Google AI Overviews, where OneSpan Sign recorded 7 of its 12 valid recommendations. Google AI Mode contributed 4 additional valid recommendations. Together these two Google surfaces account for nearly all of the brand's recommendation activity. ChatGPT, Copilot, Gemini, and Perplexity produced almost no OneSpan Sign recommendations.

The clearest platform gap is ChatGPT. OneSpan Sign recorded zero mentions across 46 ChatGPT observations, while category leader DocuSign appeared in 97.83% of those same observations. The brand is effectively absent from the platform where buyers most often ask for software recommendations.

What OneSpan Sign Is Winning

Questions This Section Answers

  • Where does OneSpan Sign show its only evidence-backed strength?
  • How does OneSpan Sign perform on Google AI Overviews when it appears?

OneSpan Sign has one clear, evidence-backed win: its sentiment profile. The brand recorded no negative mentions across the September 2026 benchmark, and its net sentiment score of 0.8571 ranks among the strongest in the category. When AI systems mention OneSpan Sign, they do so positively.

The brand also shows a narrow but meaningful recommendation pocket on Google AI Overviews. Seven of its 12 valid recommendations came from this surface, including 1 top-three placement. This suggests that when OneSpan Sign appears in AI Overviews, it is more likely to be recommended than merely referenced.

These are limited wins. OneSpan Sign does not hold competitive recommendation strength in any cluster, on any platform, or against any major competitor. The positive framing is real, but it currently applies to a very small base of mentions.

Where OneSpan Sign Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does OneSpan Sign's mention-to-recommendation conversion fail to create competitive visibility?
  • How does OneSpan Sign's placement compare with category leaders like DocuSign?
  • Which AI platforms contribute almost nothing to OneSpan Sign's recommendation footprint?

OneSpan Sign's core problem is recommendation conversion. The brand is mentioned in 14 observations and recommended in 12, which sounds like a healthy conversion rate. But those numbers are so small that they do not translate into competitive visibility. DocuSign, by comparison, is mentioned in 444 observations and recommended in 296.

The brand is present but not chosen. When OneSpan Sign does receive a valid recommendation, its average rank is 5.64, meaning it typically appears near the bottom of any shortlist. The brand holds no rank-one placements and only 2 top-three placements across 457 qualified observations. Competitors like DocuSign hold 230 rank-one placements and 272 top-three placements in the same observation set.

Platform absence compounds the problem. OneSpan Sign has no presence on ChatGPT, Copilot, or Perplexity. On Gemini, the brand appears once but receives no valid recommendation. Its entire recommendation footprint sits on Google AI Overviews and Google AI Mode, which means the brand is invisible on half the tracked surfaces where buyers research eSignature software.

The comparison to category leaders is stark. DocuSign holds 59.52% top-three rate and 50.33% rank-one rate. Adobe Acrobat Sign holds 41.36% top-three rate. PandaDoc holds 38.29% top-three rate. OneSpan Sign holds 0.44% top-three rate. The gap is not a positioning nuance; it is a structural absence from the recommendation layer.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for OneSpan Sign to turn positive framing into higher placement?
  • Why is Google AI Overviews the natural starting point for building OneSpan Sign's evidence layer?

OneSpan Sign's clearest opportunity is to convert its positive framing into consistent top-three placement on the surfaces where it already appears. The brand's net sentiment score of 0.8571 shows that AI systems describe OneSpan Sign favorably when they reference it. The missing piece is the public evidence layer that would cause those systems to recommend the brand more often and place it higher.

Google AI Overviews is the natural starting point. OneSpan Sign already receives valid recommendations there, including its only top-three placement. Building out the comparison content, third-party reviews, and product documentation that AI systems cite when forming eSignature recommendations would give those systems more reason to include OneSpan Sign in shortlists. The same evidence assets could then extend the brand's presence to ChatGPT and other surfaces where it is currently absent.

Competitive Landscape

Questions This Section Answers

  • Where does OneSpan Sign rank among tracked eSignature brands on top-three placement?
  • Does OneSpan Sign's positive sentiment offset its absence from the recommendation layer?

DocuSign holds dominant recommendation-stage strength in the eSignature Software category, with OneSpan Sign positioned at the bottom of the tracked competitive set alongside other minimal-presence brands.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

DocuSign

59.52%

50.33%

1.34

0.7432

Adobe Acrobat Sign

41.36%

3.72%

2.65

0.8028

PandaDoc

38.29%

5.91%

2.91

0.8371

Dropbox Sign

19.91%

3.28%

3.69

0.8007

SignNow

16.63%

0.88%

3.63

0.8565

Signeasy

2.41%

0.00%

4.26

0.8219

GetAccept

0.44%

0.00%

4.92

0.8824

OneSpan Sign

0.44%

0.00%

5.64

0.8571

Foxit eSign

0.22%

0.00%

5.25

0.8333

Zoho Inventory

0.00%

0.00%

6.00

0.6667

Average recommended rank covers rank-eligible recommendations only.

OneSpan Sign sits in a cluster of brands with minimal recommendation presence, holding a top-three rate of 0.44% that ties it with GetAccept and trails Signeasy. The brand's positive sentiment does not compensate for its near-total absence from the recommendation layer, and it is being outperformed on placement by every brand above it in the table.

Prompt Evidence

Google AI Overviews / Best eSignature Software Discovery & Evaluation Prompt: "What is the best eSignature software for business?" Result: OneSpan Sign received a valid recommendation in a small share of observations, appearing once in a top-three position but never as the first recommendation.

Google AI Mode / Best eSignature Software Discovery & Evaluation Prompt: "What are the top electronic signature tools?" Result: OneSpan Sign was mentioned in 5 of 124 observations and received 4 valid recommendations, all outside the top three.

ChatGPT / Best eSignature Software Discovery & Evaluation Prompt: "What is the best e-signature service?" Result: OneSpan Sign received no mentions across 46 ChatGPT observations, while DocuSign appeared in 97.83% of the same prompts.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where OneSpan Sign is absent, identifying which competitor takes the recommendation when OneSpan Sign is not chosen.

Phase 2: Recommendation Readiness Plan Build the comparison, capability, and trust content that AI systems need to include OneSpan Sign in eSignature shortlists.

Phase 3: Owned Answer Layer Buildout Develop owned pages that answer high-intent eSignature questions directly, giving AI systems a clear source to cite.

Phase 4: Citation / Authority Layer Development Strengthen the third-party review, analyst, and comparison-site footprint that supports recommendation-stage visibility.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track OneSpan Sign's movement from mention presence to top-three placement across all six AI surfaces.

Why This Matters

When a buyer asks an AI system for the best eSignature software, OneSpan Sign is almost never part of the answer. The brand's positive framing means that the rare mention works in its favor, but those mentions are too infrequent to influence buyer choice. AI presence alone is not enough; the brand needs recommendation coverage that places it inside the shortlist, not at the edge of it.

The next move is targeted correction of the prompt, page, and citation layers. OneSpan Sign needs the public evidence that AI systems rely on when forming recommendations, and it needs that evidence distributed across the surfaces where buyers actually ask. Without that work, the brand will continue to be framed positively and recommended rarely.

Core Metrics

Metric

Value

Mentions

14

Valid recommendations

12

Top 3 recommendation count

2

Rank #1 recommendation count

0

Average recommended rank

5.64

Positive mentions

12

Neutral mentions

2

Negative mentions

0

Raw mention presence rate

3.06%

Valid recommendation coverage

2.63%

Top 3 recommendation rate

0.44%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.8571

Strongest cluster by recommendation behavior

Best eSignature Software Discovery & Evaluation

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For OneSpan Sign, this produces (12 × 1 + 2 × 0 + 0 × -1) / 14 = 0.8571.

This score matters because unclassified mention counts are misleading. OneSpan Sign's 14 mentions look negligible until you see that 12 of them are positive and none are negative. At the same time, share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and OneSpan Sign's positive score must be read alongside its near-zero recommendation placement.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

1

0

1

0

0.00

Present as context, not recommendation

Perplexity

1

1

0

0

1.00

Positive, but sample too small

Google AI Overviews

7

7

0

0

1.00

Strongest public recommendation signal

Google AI Mode

5

4

1

0

0.80

Present, but not recommendation-led

Methodology

  1. This report is a company-level AI market strategy analysis based on the September 2026 LLM Authority Index AI Market Discovery benchmark for the eSignature Software category.
  2. The reporting window is September 2026, with comparative context drawn from July and August 2026 where relevant.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark evaluated 457 qualified observations for OneSpan Sign, drawn from 800 source prompt-surface observations.
  5. The competitor universe includes 10 tracked brands: DocuSign, Adobe Acrobat Sign, Dropbox Sign, Foxit eSign, GetAccept, OneSpan Sign, PandaDoc, Signeasy, SignNow, and Zoho Inventory.
  6. All qualified observations fell into the Best eSignature Software Discovery & Evaluation cluster. No qualified observations were recorded in comparison or pricing clusters.
  7. Stage 0 extraction captured raw prompt-level observations including query, surface, answer, brand outcome, recommendation placement, and sentiment.
  8. A mention is defined as any qualified observation where the brand appears at least once, regardless of framing.
  9. A valid recommendation is defined as a clear, actionable recommendation for the brand in any position within the answer.
  10. Limitations: OneSpan Sign's small observation base means its rates are sensitive to individual prompt outcomes. The brand tracking set changed across the series, with Zoho Sign appearing only in August 2026. This analysis identifies patterns in AI recommendation behavior; it does not establish causality.

See How AI Is Recommending Your Brand

The public benchmark shows where OneSpan Sign stands in AI-generated eSignature recommendations, but a company-level audit can go deeper into the specific prompts, competitor matchups, and evidence sources that shape those outcomes. Understanding which questions drive your coverage and which surfaces favor your brand is the first step toward converting positive mentions into consistent recommendations.

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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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