CiteWorks Studio

Signeasy AI Market Strategy Report - eSignature Software

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Signeasy appeared in 15.97% of qualified observations but achieved valid recommendation coverage of only 8.97%, showing a clear mention-to-recommendation gap.
  • The brand was framed positively overall, with 60 positive mentions, 13 neutral mentions, and no negative mentions, for a net sentiment score of 0.8219.
  • Google AI Mode was Signeasy's strongest platform at 17.74% valid recommendation coverage, while ChatGPT showed almost no presence and no valid recommendations.
  • Signeasy was the only tracked brand with consecutive coverage gains from July to September 2026, but it still recorded no rank-one placements and only a 2.41% top-three rate.

Answer Capsule

Signeasy holds a narrow but improving position in AI-generated recommendations for eSignature software, with valid recommendation coverage of 8.97% in September 2026. The brand appears in 15.97% of qualified observations but converts only a portion of that presence into clear recommendations, and it recorded no rank-one placements in the current month. Signeasy is the only tracked brand with a sustained multi-month rise in coverage across the July-to-September series, yet its growth has not translated into top-three placement. The clearest opportunity lies in converting rising mention presence into higher recommendation positions rather than simply expanding visibility.

Who This Report Is For

This report is for marketing, growth, and product leadership teams at Signeasy evaluating how AI search and chat surfaces currently frame the brand in eSignature software discovery and where recommendation-stage visibility can be improved.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Signeasy

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 active (Best eSignature Software Discovery & Evaluation)

AI observations analyzed

457

Competitors tracked

10

Executive Summary

Signeasy holds a visible but under-recommended position in the eSignature Software AI Market Discovery benchmark for September 2026. The brand appears in 73 of 457 qualified observations, a raw mention presence rate of 15.97%, yet receives only 41 valid recommendations, producing a valid recommendation coverage of 8.97%. This gap between presence and recommendation conversion is the central pattern in the current data.

The benchmark shows Signeasy with 60 positive mentions, 13 neutral mentions, and no negative mentions across the qualified set. Net sentiment is strongly positive at 0.8219, indicating that when AI systems reference the brand, the framing is favorable. The challenge is not how Signeasy is described, but how often it is actually recommended rather than merely mentioned.

Signeasy's strongest cluster is the only active public cluster: Best eSignature Software Discovery & Evaluation, which captures direct asks for recommended eSignature options. Within this cluster, the brand holds a positive visibility rate of 13.13% but a top-three rate of only 2.41%, with no rank-one placements in September 2026.

The strongest platform signal comes from Google AI Mode, where Signeasy achieves its highest valid recommendation coverage at 17.74%, followed by Gemini at 8.20%. The clearest platform gap is ChatGPT, where the brand appears in only one observation with no valid recommendations, and Copilot, where Signeasy receives four valid recommendations but no top-three placement.

Across the July-to-September series, Signeasy is the only tracked brand with a sustained multi-month rise in coverage, moving from 6.5% in July 2026 to 9.0% in September 2026. The cumulative change remains within normal month-to-month variation, but the directional consistency distinguishes Signeasy from competitors that declined or held flat.

What Signeasy Is Winning

Questions This Section Answers

  • What evidence supports a sustained upward trend for Signeasy across the July-to-September series?
  • How does Signeasy's sentiment profile compare with other tracked eSignature brands?
  • Which AI platform delivers Signeasy's highest valid recommendation coverage?

Signeasy's clearest evidence-backed win is its sustained upward trajectory across the three-month measurement series. Valid recommendation coverage rose from 6.5% in July 2026 to 9.0% in September 2026, a gain of 2.5 points that represents a two-month upward streak. Signeasy is the only tracked brand in the eSignature category with consecutive monthly gains across the full series.

The brand also maintains a strongly positive framing profile. Signeasy recorded 60 positive mentions, 13 neutral mentions, and zero negative mentions in September 2026, producing a net sentiment score of 0.8219. No tracked observation framed Signeasy negatively, which is not true for every competitor in the category.

Signeasy's strongest platform performance comes from Google AI Mode, where the brand achieved 17.74% valid recommendation coverage in September 2026. This is the brand's highest coverage rate on any tracked platform and suggests that certain AI answer formats are more receptive to including Signeasy as a recommended option.

Where Signeasy Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is the gap between Signeasy's mention presence and its valid recommendation coverage?
  • What do the top-three and rank-one placement rates reveal about Signeasy's recommendation position?
  • Which AI platforms show the weakest representation for Signeasy?

The most significant gap for Signeasy is the conversion of mention presence into valid recommendations. The brand is present in 15.97% of qualified observations but receives valid recommendations in only 8.97%, meaning roughly half of its appearances do not result in a clear recommendation. This pattern indicates visibility without recommendation conversion.

Signeasy's placement gap is even more pronounced. The brand holds a top-three rate of 2.41% and recorded no rank-one placements in September 2026. When Signeasy is recommended, its average recommended rank is 4.26, placing it outside the top-three positions that most influence buyer consideration. By comparison, DocuSign holds a top-three rate of 59.52% and a rank-one rate of 50.33%, while PandaDoc and Adobe Acrobat Sign both achieve top-three rates above 38%.

The ChatGPT platform represents a near-total absence for Signeasy. The brand appeared in only one of 46 ChatGPT observations in September 2026, with no valid recommendations and no positive visibility. This is a meaningful gap given ChatGPT's role in AI-led discovery for software buyers.

Signeasy also shows limited presence on Copilot, where the brand received four valid recommendations but no top-three placements, and on Google AI Overviews, where coverage was 3.64%. The brand's presence is concentrated in Google AI Mode and Perplexity, with weaker representation across other major AI surfaces.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for improving Signeasy's recommendation placement?
  • Which platforms show the largest gap between coverage and top-three placement for Signeasy?

Signeasy's clearest opportunity is converting its rising mention presence into top-three recommendation placement on Google AI Mode and Perplexity, the two platforms where the brand already demonstrates meaningful coverage. The brand's 17.74% coverage on Google AI Mode shows that AI systems in that environment are willing to recommend Signeasy, yet its top-three rate on that platform is only 4.84%. Closing the gap between coverage and placement would move Signeasy from a brand that is mentioned to a brand that is shortlisted.

Competitive Landscape

Questions This Section Answers

  • Where does Signeasy rank among tracked eSignature competitors on top-three recommendation rate?
  • How does Signeasy's recommendation placement compare with DocuSign, PandaDoc, and Adobe Acrobat Sign?
  • What does the competitive landscape show about the gap between Signeasy's sentiment and its recommendation position?

DocuSign holds dominant recommendation-stage strength in the eSignature category, while PandaDoc and Adobe Acrobat Sign compete closely for second position. Signeasy sits in the lower tier of the tracked set, ahead of GetAccept, OneSpan Sign, Foxit eSign, and Zoho Inventory, but well behind the top five 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.

Signeasy's top-three rate of 2.41% places it sixth in the tracked set, behind SignNow at 16.63% but ahead of the smaller brands. The brand's sentiment score of 0.8219 is competitive with the category leaders, indicating that framing quality is not the limiting factor. The gap is in recommendation placement, not in how the brand is described.

Prompt Evidence

Questions This Section Answers

  • Which discovery prompts produced a valid recommendation for Signeasy?
  • Where do the prompt-level results show Signeasy being mentioned but not shortlisted?
  • Which prompt surface reveals the clearest absence of Signeasy from AI responses?

Google AI Mode / Best eSignature Software Discovery & Evaluation Prompt: "What is the best free e-signature service?" Result: Signeasy appears among recommended options with a valid recommendation, contributing to its strongest platform coverage at 17.74%.

Perplexity / Best eSignature Software Discovery & Evaluation Prompt: "Is eSignature free?" Result: Signeasy is mentioned in a positive context but does not consistently convert into a top-three recommendation, reflecting the brand's broader presence-to-recommendation gap.

ChatGPT / Best eSignature Software Discovery & Evaluation Prompt: "What is the best free signature generator?" Result: Signeasy is largely absent from ChatGPT responses, appearing in only one observation with no valid recommendation, representing the brand's clearest platform gap.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where Signeasy is mentioned but not recommended, with emphasis on ChatGPT and Copilot absence.

Phase 2: Recommendation Readiness Plan Identify the answer patterns and comparison frameworks that lead AI systems to recommend DocuSign, PandaDoc, or Adobe Acrobat Sign instead of Signeasy.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers high-intent eSignature discovery questions directly, giving AI systems clear, retrievable material that positions Signeasy as a recommended option.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer with third-party sources that AI systems can cite when evaluating eSignature options, focusing on comparison and evaluation contexts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor whether rising mention presence converts into top-three placement, with particular attention to Google AI Mode and Perplexity performance.

Why This Matters

AI-generated recommendations are becoming the first filter in eSignature software selection. When a buyer asks an AI assistant for the best eSignature tool, the brands that appear in the top three recommendation positions shape the shortlist before the buyer ever visits a vendor website. Signeasy's positive framing and rising presence mean the brand is on the radar, but presence alone does not win the recommendation.

The next move for Signeasy is targeted correction of the prompt, page, and citation layers that determine whether a mention becomes a recommendation. The data shows the brand is close on sentiment and improving on coverage. The missing piece is placement, and that is where the competitive battle will be decided.

Core Metrics

Metric

Value

Mentions

73

Valid recommendations

41

Top 3 recommendation count

11

Rank #1 recommendation count

0

Average recommended rank

4.26

Positive mentions

60

Neutral mentions

13

Negative mentions

0

Raw mention presence rate

15.97%

Valid recommendation coverage

8.97%

Top 3 recommendation rate

2.41%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.8219

Strongest cluster by recommendation behavior

Best eSignature Software Discovery & Evaluation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For Signeasy in September 2026, this calculation is (60 × 1 + 13 × 0 + 0 × -1) / 73, producing a net sentiment score of 0.8219.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses but be framed negatively or neutrally, which does not translate into buyer consideration. 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, because the same presence rate can hide completely different commercial outcomes.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

30

23

7

0

0.7667

Strongest public recommendation signal

Perplexity

25

23

2

0

0.92

Positive, but sample too small

Gemini

8

6

2

0

0.75

Present as context, not recommendation

Copilot

4

4

0

0

1.00

Positive, but sample too small

Google AI Overviews

5

4

1

0

0.80

Present as context, not recommendation

ChatGPT

1

0

1

0

0.00

No public presence in this packet

Methodology

  1. This report is a company-level AI market strategy readout based on the LLM Authority Index AI Market Discovery benchmark for eSignature Software, not a client implementation case study.
  2. The reporting window is September 2026, with comparative reference to July 2026 and August 2026 baseline measurements.
  3. The benchmark tracked six AI surface families: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The September 2026 run began with 800 prompt-surface observations, producing 494 unique questions after deduplication.
  5. Of the 800 observations, 785 were relevant to the eSignature category and 15 were excluded as irrelevant.
  6. The public benchmark uses 457 qualified observations as the denominator for all brand-level metrics.
  7. The tracked competitor universe includes DocuSign, Adobe Acrobat Sign, PandaDoc, Dropbox Sign, SignNow, Signeasy, GetAccept, OneSpan Sign, Foxit eSign, and Zoho Inventory.
  8. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison classes.
  9. A mention is defined as any qualified observation where the brand appears at least once in the AI response.
  10. A valid recommendation is defined as a clear, actionable recommendation for the brand in any position within the response.
  11. The public benchmark does not measure market share, revenue attribution, attributable sales, or organic-search ranking positions.
  12. Limitations: The public version does not expose the full unique prompt count per brand, and small-count movements for lower-tier brands should be read with caution given the narrow observation base. Source presence in the evidence layer is not automatically proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where Signeasy stands in AI-generated recommendations, but a company-level audit can go deeper into the specific prompts, competitor matchups, and evidence sources that determine whether a mention becomes a recommendation. Understanding which questions drive the brand's coverage gains and which surfaces still exclude Signeasy is the first step toward converting visibility into shortlist placement.

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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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