Signeasy AI Visibility Market Strategy Report - eSignature Software

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Signeasy was the only tracked brand to post a significant cumulative gain in valid recommendation coverage, rising from 6.5% in July 2026 to 11.4% in October 2026.
  • The brand’s main gap is rank-one performance: it recorded zero first-position placements in October, even as its top-three rate improved to 5.3%.
  • Perplexity is Signeasy’s strongest platform, with 29.7% valid recommendation coverage and 18.8% top-three placement rate.
  • ChatGPT and Google AI Overviews remain weak channels for Signeasy, while DocuSign continues to dominate the category with 70.4% coverage and 54.2% rank-one rate.

Answer Capsule

Signeasy is the only brand in the October 2026 eSignature Software benchmark to record a significant cumulative increase in AI recommendation coverage, rising to 11.4% valid recommendation coverage from 6.5% in July 2026. The brand holds a three-month upward streak, the longest in the category, and its top-three rate rose to 5.3% over the same period. However, Signeasy recorded no rank-one placements in October 2026, meaning it is visible and increasingly recommended but never chosen first. The clearest opportunity is converting its growing reference presence into first-position recommendations within the Brand Recommendation cluster.

Who This Report Is For

This report is for Signeasy's marketing, growth, and product leadership teams, and for category analysts tracking how AI search and chat surfaces shape buyer shortlists in eSignature Software.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Signeasy

Category / market studied

eSignature Software

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

3

AI observations analyzed

456

Competitors tracked

9

Executive Summary

Signeasy holds 11.4% valid recommendation coverage in October 2026, up from 6.5% in July 2026, a gain of 4.9 points that the benchmark classifies as significant. It is the only brand in the tracked set to record a significant cumulative increase across the July-to-October series, and it rose in each of the three months since baseline: 6.5% in July, 8.8% in August, 9.0% in September, and 11.4% in October 2026.

The brand's raw mention presence rate was 16.2% in October 2026, up from 12.0% in July 2026. It recorded 74 mentions across 456 qualified observations, with 54 positive, 20 neutral, and zero negative mentions. Its net sentiment score of 0.7297 is positive but the lowest among the top six brands by coverage, which suggests that while Signeasy is being mentioned more often, the framing quality of those mentions trails the category leaders.

Signeasy's strongest cluster is C01, Best eSignature Software Discovery and Evaluation, where all of its qualified observations sit. The brand recorded 52 valid recommendations and 24 top-three placements in October 2026, but zero rank-one placements, down from 0.7% in July 2026. This is the clearest gap in its profile: Signeasy is converting a larger share of its mentions into valid recommendations, but it is not reaching first position in any qualified observation.

The strongest platform signal for Signeasy is Perplexity, where it holds 29.7% valid recommendation coverage and 18.8% top-three rate, both well above its overall averages. Its weakest platform signal is ChatGPT, where it holds just 2.5% valid recommendation coverage and no top-three placements. Google AI Overviews is also weak at 4.2% coverage.

The margin between Signeasy and Dropbox Sign narrowed from 48.0 points in July 2026 to 34.4 points in October 2026, and it narrowed in every month of the series. This is a meaningful competitive signal: Signeasy is closing the gap on a mid-tier competitor while the category leader, DocuSign, holds 70.4% coverage and 54.2% rank-one rate.

What Signeasy Is Winning

Signeasy's clearest win is its sustained upward trajectory. It is the only brand in the category to record a significant cumulative increase in valid recommendation coverage, and it has risen in every month of the series. This is not a single-month fluctuation; it is a consistent pattern.

Its second win is its top-three rate improvement. Signeasy's top-three rate rose from 1.9% in July 2026 to 5.3% in October 2026, a gain of 3.4 points. While the absolute numbers remain small, the direction is consistent with its coverage gain.

Its third win is its performance on Perplexity. Signeasy holds 29.7% valid recommendation coverage and 18.8% top-three rate on Perplexity, both significantly above its overall averages. This suggests that Perplexity's retrieval and synthesis patterns are more favorable to Signeasy than other platforms, and it is a platform where the brand has a meaningful recommendation pocket.

Its fourth win is the absence of negative framing. Signeasy recorded zero negative mentions in October 2026, and its net sentiment score of 0.7297 is positive. While this is lower than most competitors, the absence of negative framing is a stable foundation.

Where Signeasy Has the Clearest AI Visibility Gaps

Signeasy's clearest gap is its complete absence from rank-one positions. The brand recorded zero rank-one placements in October 2026, down from 0.7% in July 2026. This means that while AI systems are increasingly mentioning Signeasy and placing it in top-three positions, they are not selecting it as the single best option in any qualified observation. Competitors like DocuSign (54.2% rank-one rate), Adobe Acrobat Sign (6.1%), and PandaDoc (5.9%) all hold first-position recommendations that Signeasy does not.

The second gap is platform concentration. Signeasy's coverage is heavily concentrated on Perplexity (29.7% coverage) and Google AI Mode (18.3% coverage), while it is nearly absent on ChatGPT (2.5% coverage) and Google AI Overviews (4.2% coverage). ChatGPT is a high-volume platform with 40 qualified observations in the benchmark, and Signeasy's near-absence there represents a significant blind spot. Google AI Overviews, with 118 qualified observations, is the largest platform by observation count, and Signeasy's 4.2% coverage there is well below its overall average.

The third gap is competitive displacement. When Signeasy is mentioned but not recommended, the recommendation typically goes to DocuSign, PandaDoc, or Adobe Acrobat Sign. DocuSign holds 70.4% coverage and 66.7% top-three rate, meaning it is the default recommendation in most qualified observations. Signeasy's 11.4% coverage is 59.0 points behind DocuSign and 50.2 points behind PandaDoc. The brand is not yet a shortlist default; it is an occasional alternative.

The fourth gap is cluster concentration. All of Signeasy's qualified observations fall into the Brand Recommendation cluster. The benchmark recorded no qualified observations in the Pricing and Value or Multi-Brand Comparison clusters for any brand, so the public benchmark cannot yet show how Signeasy performs in pricing or comparison contexts. This is a category-level limitation, not a Signeasy-specific weakness, but it means the brand's visibility in those buyer-intent contexts is unmeasured.

Biggest Opportunity

Signeasy's biggest opportunity is converting its growing reference presence into first-position recommendations within the Brand Recommendation cluster. The brand has demonstrated that it can increase its mention rate and its top-three rate, but it has not yet cracked rank-one placement. The path from reference to recommendation to first choice is the clearest strategic priority.

This opportunity is specific and measurable. Signeasy recorded 52 valid recommendations in October 2026 but zero rank-one placements. If the brand can convert even a small share of its top-three placements into rank-one positions, it would establish a first-position presence that currently does not exist. The platforms where this is most achievable are Perplexity, where Signeasy already holds 18.8% top-three rate, and Google AI Mode, where it holds 7.0% top-three rate. ChatGPT and Google AI Overviews require a different approach, since Signeasy's presence there is minimal.

Competitive Landscape

Questions This Section Answers

  • Where does Signeasy rank in recommendation coverage against DocuSign, PandaDoc, and the rest of the category?
  • What separates Signeasy from the brands ranked above it on top-three and rank-one placements?

DocuSign holds dominant recommendation-stage strength in eSignature Software, with PandaDoc and Adobe Acrobat Sign as the strongest challengers. Signeasy sits in sixth place by valid recommendation coverage, behind Dropbox Sign and SignNow, but ahead of GetAccept, OneSpan Sign, and Foxit eSign.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

DocuSign

66.67%

54.17%

1

0.7517

Adobe Acrobat Sign

44.74%

6.14%

2

0.7577

PandaDoc

43.64%

5.92%

3

0.8282

Dropbox Sign

26.75%

3.07%

3

0.8080

SignNow

18.20%

1.75%

4

0.8333

Signeasy

5.26%

0.00%

4

0.7297

GetAccept

1.10%

0.22%

4

0.8182

OneSpan Sign

0.66%

0.22%

5

0.9333

Foxit eSign

0.44%

0.22%

5

0.6667

Zoho Inventory

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Signeasy's 5.26% top-three rate places it sixth in the category, 61.41 points behind DocuSign and 38.38 points behind PandaDoc. Its zero rank-one rate is the clearest differentiator between Signeasy and the brands above it: every brand ranked higher has at least some first-position presence, while Signeasy has none. Its average recommended rank of 4 is consistent with its top-three rate, indicating that when Signeasy is recommended, it typically appears in the fourth position rather than the first.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "What's the most reliable e-signature service?" Result: Signeasy received a valid recommendation with a top-three placement, consistent with its strongest platform performance.

ChatGPT / Brand Recommendation Prompt: "What is the best free signature generator?" Result: Signeasy was not mentioned or recommended, reflecting its 2.5% coverage on ChatGPT.

Google AI Mode / Brand Recommendation Prompt: "Is there a free e-signature service?" Result: Signeasy received a valid recommendation, contributing to its 18.3% coverage on Google AI Mode.

Google AI Overviews / Brand Recommendation Prompt: "How do I get an eSignature for free?" Result: Signeasy was not mentioned, consistent with its 4.2% coverage on Google AI Overviews.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Signeasy's prompt-level visibility across all six platforms, identifying exactly which questions produce recommendations and which competitor takes the recommendation when Signeasy is absent.

Phase 2: Recommendation Readiness Plan Prioritize the platforms and prompt types where Signeasy has the clearest path from reference to recommendation, starting with Perplexity and Google AI Mode.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent questions where Signeasy is mentioned but not recommended, with clear positioning that AI systems can retrieve and synthesize.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer around Signeasy's differentiators, ensuring that third-party sources, review sites, and comparison pages carry accurate, recommendation-ready information.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Signeasy's coverage, top-three rate, and rank-one rate month over month, with specific attention to whether the brand converts its growing reference presence into first-position recommendations.

Why This Matters

AI presence alone is not enough. Signeasy has demonstrated that it can increase its mention rate and its top-three rate, but it has not yet converted that presence into first-position recommendations. In a category where DocuSign holds 54.2% rank-one rate and 70.4% coverage, being mentioned is not the same as being chosen. The brands that win in AI-led discovery are the ones that are recommended first, not the ones that are mentioned most.

The next move for Signeasy is targeted correction of the prompt, page, and citation layers. The brand needs to identify which specific questions produce recommendations and which do not, build owned content that directly addresses those questions, and strengthen the third-party sources that AI systems retrieve and synthesize. This is not a volume play; it is a precision play. The goal is to convert Signeasy's growing reference presence into first-position recommendations within the Brand Recommendation cluster.

Core Metrics

Metric

Value

Mentions

74

Valid recommendations

52

Top 3 recommendation count

24

Rank #1 recommendation count

0

Average recommended rank

3.8077

Positive mentions

54

Neutral mentions

20

Negative mentions

0

Raw mention presence rate

16.23%

Valid recommendation coverage

11.40%

Top 3 recommendation rate

5.26%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.7297

Strongest cluster by recommendation behavior

C01: Best eSignature Software Discovery and Evaluation

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

Questions This Section Answers

  • How many of Signeasy's mentions are neutral references rather than recommendations?
  • Why is a positive sentiment score alone insufficient for interpreting Signeasy's AI visibility?

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

For Signeasy in October 2026: (54 × 1 + 20 × 0 + 0 × -1) / 74 = 0.7297.

This score matters because unclassified mention counts are misleading. 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. Signeasy's 74 mentions include 54 positive and 20 neutral, with zero negative. The 20 neutral mentions are references where Signeasy is mentioned but not framed as a recommendation, which means the brand's effective recommendation rate is lower than its raw mention rate suggests.

Share of voice is a diagnostic metric, not a business KPI. Signeasy's 16.2% raw mention presence rate is higher than its 11.4% valid recommendation coverage, which means that roughly 30% of the time Signeasy is mentioned, it is not recommended. Classified sentiment is required before interpreting AI visibility, and Signeasy's positive sentiment score of 0.7297 is a foundation, but it does not capture the gap between mention and recommendation.

Sentiment by Platform

Questions This Section Answers

  • Which platforms produce Signeasy's strongest recommendation signal, and which show presence without recommendations?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Perplexity

23

19

4

0

0.8261

Strongest public recommendation signal

Google AI Mode

31

22

9

0

0.7097

Present, but not recommendation-led

Copilot

6

4

2

0

0.6667

Positive, but sample too small

Gemini

5

3

2

0

0.6000

Positive, but sample too small

ChatGPT

1

1

0

0

1.0000

Positive, but sample too small

Google AI Overviews

8

5

3

0

0.6250

Present as context, not recommendation

Methodology

Questions This Section Answers

  • How are mentions, valid recommendations, and qualified observations defined in this benchmark?
  • What do the benchmark's measurement limits mean for interpreting Signeasy's results?
  1. This report is a benchmark-based analysis of Signeasy's AI visibility and recommendation performance in the eSignature 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 month is October 2026. The benchmark series covers July 2026 through October 2026.
  3. The benchmark tracks six AI platforms: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The October 2026 benchmark is built from 456 qualified observations, up from 415 in July 2026.
  5. The competitor universe includes ten tracked brands: DocuSign, PandaDoc, Adobe Acrobat Sign, Dropbox Sign, SignNow, Signeasy, GetAccept, OneSpan Sign, Foxit eSign, and Zoho Inventory.
  6. The public benchmark uses three high-intent clusters: Brand Recommendation, Pricing and Value, and Multi-Brand Comparison. In October 2026, all qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing and Value or Multi-Brand Comparison clusters.
  7. Stage 0 refers to the initial prompt-surface observation stage, which begins with 800 prompt-surface observations across the benchmark's defined AI and search surface universe. In October 2026, those prompts contained 496 unique questions, of which 800 mentioned a tracked brand or competitor, 785 were relevant, and 15 were irrelevant.
  8. A mention is defined as any instance where Signeasy is named in an AI response, regardless of whether it is recommended.
  9. A valid recommendation is defined as a clear, actionable recommendation of Signeasy in any position, as marked by the benchmark's qualification process.
  10. The benchmark does not measure market share, revenue attribution, attributable sales or conversions, every possible AI response to every possible query, organic-search ranking positions, social media mention volume, private or sponsored channels, or causality from a metric movement alone.
  11. The brand tracking set changed across the series: Zoho Inventory appeared in the named company list in July, September, and October 2026, while Zoho Sign appeared in the named list in August 2026 and registers no measured coverage in the months either side. Because of this taxonomy shift, Zoho Inventory's zero top-three and rank-one rates should be read as an artifact of brand-set changes rather than a competitive result.
  12. Movement between months identifies changes worth investigating; it does not by itself establish the cause of those changes.

See How AI Is Recommending Your Brand

Signeasy's AI visibility is improving, but the brand has not yet converted its growing reference presence into first-position recommendations. A company-level AI visibility audit can map the specific prompts, platforms, and competitor patterns that determine whether Signeasy is recommended or displaced. The audit identifies where recommendations are formed, which competitors take the recommendation when Signeasy is absent, and which source pages shape the answers.

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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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