How AI Search Is Recommending Contract Management Software: Monthly Trends

Executive Summary

DocuSign remains the clear coverage leader in October 2026 at 60.7% valid recommendation coverage, extending its lead to 10.6 points over PandaDoc at 50.1%. DocuSign held the top position each month of the four-month series, and its October level is the highest the brand has recorded across the baseline-to-current window that opened at 56.4% in July 2026.

The strongest upward mover this month was Juro, which rose 5.9 points from 13.9% in September 2026 to 19.8% in October 2026. That move cleared the month-to-month importance threshold and marks a two-month upward streak. DocuSign also posted a significant placement gain, with recommended top-three placement up 9.0 points and recommended rank-one up 7.1 points against the July 2026 baseline.

The sharpest decliners against baseline are Icertis, down 11.2 points from 29.5% in July 2026 to 18.3% in October 2026, and LinkSquares, down 7.4 points from 20.9% to 13.5%. Both movements exceed normal month-to-month variation. Icertis slipped a further 1.4 points from September 2026, while LinkSquares shed 1.4 points over the same prior month.

Against September 2026, the category was mostly stable at the top. DocuSign rose 4.7 points, PandaDoc added 2.8 points, and Agiloft, Conga, ContractSafe, and ContractWorks each advanced modestly. Eight of ten tracked brands sit within normal variation versus the July 2026 baseline. The twin exception is the two significant decliners, Icertis and LinkSquares.

Each monthly run begins with 800 prompt-surface observations (546 unique questions) in October 2026, compared with 800 prompt-surface observations (463 unique questions) in July 2026. All prompts in both months mentioned a tracked brand or competitor. In October, 715 prompts were relevant and 85 were filtered out as irrelevant, leaving 481 qualified benchmark observations; in July, 742 were relevant and 58 were irrelevant, leaving 468 qualified observations. The public metrics use those qualified observations, which survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which contract management software vendors generated the most factual conflicts across AI platforms?
• What kinds of claims did AI platforms disagree about most often?

The benchmark detected 16 critical or high-severity factual inconsistencies across six AI platforms. Each conflict pairs two platforms that gave incompatible answers to the same question, and each involves high-confidence contradictions that a buyer could act on directly.

DocuSign

DocuSign accounts for five of the 16 conflicts, all concerning the scope of its free offering. When asked "How to send an e-signature for free?", Gemini stated that DocuSign's permanent free tier is typically restricted to receiving and signing documents sent by others rather than initiating requests, citing PandaDoc's free e-signature page and SignFree. Perplexity stated the opposite, that DocuSign offers free signers and a free account to upload, sign, and send documents, citing DocuSign's signers page and Dropbox Sign. The flagged sources show the tension sits inside DocuSign's own material: a free account page describes uploading and signing, while a learn page describes a premium trial for sending documents.

A second conflict surfaced on the question "Is eSign really free?". Gemini stated that DocuSign has a perpetual free account that lets you sign documents yourself, while Copilot stated that DocuSign's free plan is actually a 30-day trial and is not truly free. Copilot's claim drew on a comparison guide that states the free plan is a 30-day trial.

A third conflict appeared on "Is eSignature free?". Google AI Overviews stated that DocuSign allows you to sign, return, and store as many documents as you want for free, referencing a DocuSign free e-signature page. Copilot stated that the free plan is a 30-day trial, not a permanent free tier, citing a comparison guide and a G2 roundup.

A fourth conflict arose on "How do I get an eSignature for free?". Google AI Overviews stated that DocuSign lets you send a small allotment of free signature requests through its platform or mobile app, citing the DocuSign mobile page and Adobe. Copilot stated that DocuSign has no free tier at all, only paid plans or trials, citing a Toolradar guide that notes paid plans with no free row and just a time-boxed trial.

A fifth conflict appeared on "Is there a free e-signature service?". Gemini stated the free tier typically limits sending to around 3 requests total, citing a comparison blog. ChatGPT stated that sending documents for others to sign generally requires a trial or paid plan, citing DocuSign's free account page and a Dropbox Sign help article.

PandaDoc

PandaDoc accounts for four conflicts, all turning on whether its free plan is unlimited or capped. On "What is the best free e-signature app?", Gemini stated that PandaDoc's free plan allows unlimited document uploads, electronic signatures, and unlimited signing volume, citing a Fill eSignature roundup. ChatGPT stated that the free tier allows only a limited number of documents each month, citing an Evenseal comparison that lists 60 documents a year and a Signvoy guide that lists 5 documents a month.

On "What is the free alternative to Docusign?", Gemini stated that PandaDoc's free plan allows unlimited document uploads and e-signatures, citing an Inkless roundup and a SignQuick comparison. Copilot stated that PandaDoc Free eSign allows 60 documents per year. The same question produced a third conflict: ChatGPT stated the free plan allows 5 documents per month or 60 per year, citing PandaDoc's own pricing page.

On "Are there any free eSignature services?", Google AI Overviews stated that PandaDoc allows up to 60 documents signed and sent per year on its free plan, citing PandaDoc's free e-signature page. Google AI Mode stated that it allows you to send them out for an unlimited number of free electronic signatures, citing YouTube walkthroughs and a Zignt comparison.

Ironclad

Ironclad accounts for three conflicts. When asked "What is the difference between ironclad and DocuSign?", Gemini stated that Ironclad does not include native e-signing and relies on third-party integrations like DocuSign or Adobe Sign, citing a Layer3Labs comparison and Ironclad's own DocuSign alternative page. ChatGPT stated that Ironclad has e-signature available, including Ironclad Signature, citing Ironclad's products overview and product descriptions.

On "How much does CLM software cost?", Google AI Overviews stated that Ironclad total costs frequently track between $200 and $600 per user per month, citing a pricing guide and Ironclad's own cost article. Copilot stated Ironclad costs $100 to $200 per user per month, citing a CLM pricing roundup. The same question produced the third conflict: Google AI Overviews stated that Ironclad mid-market deployment usually costs $50,000 to $120,000 per year, while ChatGPT stated that reported purchase data shows a median around $40,000 per year, with purchases ranging from about $15,000 to $104,000, citing a Vendr marketplace page.

Icertis

Icertis accounts for two conflicts. On "How much does contract management software cost?", Google AI Overviews stated that costs usually fall between $15,000 and $50,000 annually, citing a Sirion library page and a Hyperstart pricing guide. Copilot stated that Icertis ranges from $150,000 to $500,000 annually and often exceeds $1M, citing a ContractSafe price comparison that attributes analyst estimates of $150,000 to $500,000 a year to Icertis.

On "How much does CLM cost?", Google AI Overviews stated that Icertis is listed under large enterprises costing $50,000 to $200,000+ per year. Copilot stated that Icertis costs $200 to $600 per user per year, with a 100-user deployment at $400,000 to $600,000 annually, citing a procurement pricing comparison.

Agiloft

Agiloft accounts for one conflict. On "How much does contract management software cost?", Google AI Overviews stated that costs usually fall between $15,000 and $50,000 annually, citing a Sirion library page and an Aline pricing breakdown. Google AI Mode stated that entry-level packages hover around $12,000 annually while mid-market to enterprise buyers average roughly $68,000 per year, citing a Vaquill AI comparison and a GetAccept roundup that reports an average Agiloft buyer paying approximately $68,121 per year, with plans starting near $6,000.

ContractSafe

ContractSafe accounts for one conflict. When asked "How much is ContractSafe?", Google AI Mode stated that the $450, $660, and $815 monthly prices are billed annually, so Organize is $5,400 per year. Google AI Overviews stated that those same monthly rates apply to month-to-month billing and that prepaying annually lowers Organize to $375 per month or $4,500 per year. The conflicting claims both reference ContractSafe's own pricing page. A flagged source states the platform requires annual prepaid billing with no monthly payment option, while another flagged source lists monthly and yearly starting prices that differ.

Across all 16 conflicts, the pattern is consistent: AI platforms frequently disagree about free-tier eligibility and about price ranges for the same vendor, and they routinely cite each other's comparison pages and vendor pricing pages to support incompatible claims.

Benchmark Context

Questions This Section Answers

• How many of the collected prompts survived qualification for the October 2026 benchmark?
• Which AI surface families produced qualified observations this month?

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Qualified surface breadth held at six families in October 2026, matching July 2026. ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity all produced qualified observations. Surface breadth had narrowed to five families in August 2026, when Perplexity produced no qualified observations, before returning to six in September 2026.

Benchmark-Level Metrics

Recommendation-shaped answer share climbed to 59.3% in October 2026, the highest of the four months. The intermediate September 2026 level was 41.7%, and August 2026 fell to 7.9%. Valid recommendation shortlist share at 70.3% is the highest the series has recorded, above July 2026 (67.5%), August 2026 (15.7%), and September 2026 (60.4%).

AI Recommendation Trend

Questions This Section Answers

• Which contract management software brand leads in valid recommendation coverage?
• Where did the largest gains and declines occur among tracked brands?

DocuSign extended its lead while the mid-tier held a tight cluster, and the category's headline movement came from a handful of smaller shifts rather than one breakout

Valid recommendation coverage measures the share of qualified AI responses in which a brand appears as a named option. October 2026 shows the widest top-two gap of the series, with DocuSign at 60.7% and PandaDoc at 50.1%.

Eight of the ten tracked brands sit within normal month-to-month variation against the July 2026 baseline. Only Icertis and LinkSquares moved enough to be classified as significant decliners. The category-level change therefore came from the combination of several smaller movements, anchored by DocuSign's rise and the two declines, rather than from a single dominant shift.

What Changed This Month

DocuSign

DocuSign rose 4.3 points from 56.4% valid recommendation coverage in July 2026 to 60.7% in October 2026, and added 4.7 points from 56.0% in September 2026. That marks a two-month upward streak. DocuSign recorded 292 valid recommendations out of 481 qualified observations.

The sharper story sits in placement. Recommended top-three placement rose to 44.3% in October 2026 from 35.3% in July 2026, up 9.0 points and a significant gain. Recommended rank-one rose to 23.3% from 16.2%, up 7.1 points and also significant. Raw mention presence held essentially flat at 92.1% in October 2026 versus 91.5% in July 2026.

DocuSign is converting its near-universal presence into top-of-list placement more often than at any point in the series. Its coverage lead over PandaDoc widened from 8.8 points in July 2026 to 10.6 points in October 2026.

Highest-priority diagnostic: Which surfaces and prompt categories drove the top-three and rank-one gains, and whether those placements cluster around specific buyer questions.

Juro

Juro rose 5.9 points from 13.9% coverage in September 2026 to 19.8% in October 2026, clearing the month-to-month importance threshold. Against the July 2026 baseline of 16.7%, the brand is up 3.1 points, within normal variation, with 95 valid recommendations out of 481 qualified observations.

Top-three placement rose to 6.9% in October 2026 from 4.5% in July 2026, and rank-one rose to 1.2% from 0.4%. Raw mention presence rose to 23.7% from 19.0% at baseline. Juro's net sentiment score of 0.9 sits near the top of the category.

Juro's move this month came from broader presence and steadier placement rather than a single surface breakout. The brand remains seventh by coverage despite the gain.

Highest-priority diagnostic: Which prompt categories account for the September-to-October increase, and whether the elevated sentiment reflects a durable pattern or a small-sample effect across 95 observations.

Icertis

Icertis recorded the largest baseline-to-current decline in the category, falling 11.2 points from 29.5% coverage in July 2026 to 18.3% in October 2026. The brand also slipped 1.4 points from 19.7% in September 2026. Icertis recorded 88 valid recommendations out of 481 qualified observations.

Every supporting placement metric moved down significantly. Top-three placement fell to 8.3% in October 2026 from 15.0% in July 2026, down 6.7 points. Rank-one fell to 2.1% from 6.2%, down 4.1 points. Raw mention presence fell to 34.3% from 40.6%, down 6.3 points. Net sentiment slipped to 0.6 from 0.8.

Icertis is losing both presence and recommendation strength, and the decline is the broadest in the category. The gap between Icertis and DocuSign widened by 15.5 points across the series, from 26.9 points in July 2026 to 42.4 points in October 2026.

Highest-priority diagnostic: Which prompt categories and surfaces account for the lost top-three placements, and which brands now appear where Icertis previously ranked.

LinkSquares

LinkSquares fell 7.4 points from 20.9% coverage in July 2026 to 13.5% in October 2026, a significant decline, with 65 valid recommendations out of 481 qualified observations. The brand also declined 1.4 points from 14.9% in September 2026.

Top-three placement fell to 1.5% in October 2026 from 5.8% in July 2026, down 4.3 points. Raw mention presence fell to 18.9% from 25.4%, down 6.5 points. Rank-one sat at zero in October 2026 versus 0.4% at baseline, and net sentiment slipped to 0.7 from 0.9.

LinkSquares shows a narrowing useful footprint: it is mentioned less often, and when mentioned it lands in the top three far less often than in July 2026. With 65 valid recommendations, its percentages carry more uncertainty than the leaders' counts.

Highest-priority diagnostic: Whether the lost top-three placements concentrate in specific evidence sources or prompt types, and which brands absorbed them.

Ironclad

Ironclad held third place in coverage at 38.9% in October 2026, down 4.3 points from 43.2% in July 2026 — a move within normal variation. The brand rose 1.6 points from 37.3% in September 2026, a two-month upward streak. Ironclad recorded 187 valid recommendations out of 481 qualified observations.

Placement metrics moved more than the coverage headline suggests. Top-three placement fell to 28.3% in October 2026 from 35.7% in July 2026, and rank-one fell to 15.2% from 23.1%, a 7.9-point gap. Raw mention presence fell to 55.5% from 58.6% at baseline. Net sentiment eased to 0.7 from 0.8.

Ironclad's coverage rate is stable, but its placement quality has narrowed more than the headline number implies.

Highest-priority diagnostic: Which prompt categories and surfaces account for the gap between Ironclad's stable coverage rate and its larger placement declines.

Agiloft, Conga, ContractSafe, and ContractWorks

Agiloft fell 4.4 points from 25.0% coverage in July 2026 to 20.6% in October 2026, though it rose 4.8 points from 15.8% in September 2026, a two-month upward streak within normal variation. Agiloft recorded 99 valid recommendations out of 481 qualified observations, the largest count outside the top three brands.

Conga rose 2.9 points from 15.4% in July 2026 to 18.3% in October 2026, and 2.5 points from September 2026, also a two-month upward streak. Raw mention presence rose 5.0 points to 26.8% from 21.8%, and top-three placement rose 2.8 points to 7.7% from 4.9%. Conga recorded 88 valid recommendations.

ContractSafe was essentially flat, down 0.5 points from 18.6% in July 2026 to 18.1% in October 2026, but up 2.3 points from September 2026. Its rank-one rate rose to 4.2% from 1.9%, a 2.3-point gain, with 87 valid recommendations. ContractWorks was down 0.8 points from 7.7% to 6.9% across the baseline window, up 1.5 points from September 2026, with 33 valid recommendations and a raw mention presence of 9.8%.

The mid-tier now clusters tightly between 18% and 21% coverage, and the gains in Conga and ContractWorks over the prior month came from smaller movements rather than a single driver. ContractWorks remains the smallest-count brand in the table, so its percentages carry the widest uncertainty.

Highest-priority diagnostic: Whether the September-to-October recovery among the mid-tier reflects a durable shift in how AI systems shortlist these brands or a change in the October prompt mix.

PandaDoc

PandaDoc rose 2.5 points from 47.6% coverage in July 2026 to 50.1% in October 2026, and 2.8 points from 47.3% in September 2026, a two-month upward streak. The brand recorded 241 valid recommendations out of 481 qualified observations.

Top-three placement rose to 33.3% in October 2026 from 24.6% in July 2026, up 8.7 points and significant. Rank-one rose to 10.4% from 6.2%, up 4.2 points and significant. Raw mention presence held at 65.3% versus 66.2% at baseline.

PandaDoc holds second place by coverage and closed some of its placement gap with DocuSign, though DocuSign's rank-one rate of 23.3% remains more than double PandaDoc's 10.4%.

Highest-priority diagnostic: Which prompts convert PandaDoc presence into top-three placement, and which competitor occupies the top slot when PandaDoc is recommended but not first.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters are reflected in the qualified recommendation data?
• Why can't the public benchmark answer pricing or head-to-head comparison questions?

The qualified observations in October 2026 fell entirely into the Brand Recommendation cluster, as they did in July 2026, August 2026, and September 2026. The comparison and pricing clusters recorded zero qualified observations across the series. The October 2026 raw response-type distribution did include 27 pricing analyses and 25 comparison analyses, but none survived qualification into the public benchmark.

Because the qualified set contains only brand recommendation data, the public benchmark cannot yet answer the commercial questions buyers ask about price, value, or head-to-head outcomes. Those questions surface in the inconsistency data above, where AI platforms gave incompatible pricing and free-tier answers, but they sit outside the qualified recommendation metric.

Brand Opportunity Summary

Questions This Section Answers

• Which brands show the strongest signal movement in October 2026?
• What diagnostic question should each brand investigate next?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program.

• AI Visibility Industry Market
• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: ContractWorks holds 33 valid recommendations in October 2026, the smallest count in the table. Its coverage percentages carry more uncertainty than brands with larger counts. The same caution applies to the gap between its 9.8% raw mention presence and its 6.9% coverage.
• Qualified denominator versus raw collection: the benchmark collected 800 prompt-surface observations in October 2026, of which 715 were relevant and 481 survived qualification. The public recommendation percentages are calculated on the 481 qualified observations, not the raw 800.
• August 2026 context: the qualified set fell to 453 observations that month with only 36 recommendation-shaped answers and just five qualified surface families. The September 2026 and October 2026 results should be read against that four-month pattern rather than treated as isolated month-to-month shifts.
• Directional analysis: month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report raise questions the public benchmark cannot answer alone. Which high-intent prompts still produce recommendations for a given brand, and which now return answers naming a different vendor? When a brand loses a recommendation, which competitor takes its place? What attributes do AI systems associate with each option, and which external sources shape those associations?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves from what the benchmark shows to why it shows it, and what to do about it.

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