Conga AI Visibility Market Strategy Report - Contract Management Software

Answer Capsule

Conga holds 18.30% valid recommendation coverage in the October 2026 Contract Management Software benchmark, placing it fifth in a category led by DocuSign at 60.70%. Conga's raw mention presence rate of 26.82% is higher than several brands ranked near it, but only 88 of 481 qualified observations convert into a valid recommendation, which shows a brand that is seen more often than it is chosen. The clearest win is a two-month upward streak in coverage and a top-three rate that rose to 7.69%. The clearest gap is rank-one placement at 0.62%, meaning Conga is almost never the first brand AI systems name. The biggest opportunity sits in converting existing presence into shortlist placement inside the Brand Recommendation cluster.

Who This Report Is For

This report is written for Conga's marketing, demand generation, and product marketing leadership, and for category analysts tracking how contract management software brands are recommended across AI and search surfaces.

Report Card

Executive Summary

Conga recorded 18.30% valid recommendation coverage in October 2026, up 2.9 points from 15.4% in July 2026 and up 2.5 points from September 2026. That is a two-month upward streak, and it places Conga fifth in a ten-brand category. The benchmark's headline leader, DocuSign, sits at 60.70%, and the second brand, PandaDoc, sits at 50.1%, so Conga competes in a tightly clustered mid-tier rather than at the top of the category.

The presence-to-recommendation gap is the defining feature of Conga's position. Conga appeared in 26.82% of qualified observations but received a valid recommendation in only 18.30% of them. That gap of 8.52 points means AI systems mention Conga in contexts where they do not go on to recommend it. By contrast, DocuSign's presence rate of 92.1% and coverage rate of 60.70% show a brand that converts visibility into recommendation at scale.

Conga's strongest signal is its top-three placement rate, which rose to 7.69% in October 2026 from 4.9% in July 2026, a gain of 2.79 points. Its rank-one rate sits at 0.62%, representing 3 observations out of 481. Conga is being shortlisted more often than it is being named first.

The strongest platform signal for Conga is Google AI Overviews, where the brand recorded 40.6% valid recommendation coverage across 138 observations. The weakest meaningful platform signal is Copilot, where Conga recorded zero valid recommendations across 39 observations despite a 7.7% raw mention presence rate.

Sentiment is positive but not category-leading. Conga's net sentiment score of 0.6899 sits below DocuSign, PandaDoc, Ironclad, ContractSafe, Juro, Agiloft, ContractWorks, and LinkSquares, and ahead of only Icertis at 0.5758. The brand carries 40 neutral mentions against 89 positive mentions and zero negative mentions.

The clearest opportunity is converting Conga's existing presence into rank-one and top-three placement inside the Brand Recommendation cluster, where the benchmark shows the brand is visible but rarely the first option AI systems name.

What Conga Is Winning

Questions This Section Answers

• Where is Conga gaining recommendation ground in the October 2026 benchmark?
• Which platform produced Conga's strongest recommendation result?

Conga's strongest evidence-backed win is its two-month upward streak in valid recommendation coverage. The brand rose from 15.4% in July 2026 to 18.30% in October 2026, and it added 2.5 points from September 2026 alone. That movement is within normal variation against baseline, but the direction is consistent across two consecutive months.

The second win is top-three placement growth. Conga's top-three rate rose 2.79 points from 4.9% in July 2026 to 7.69% in October 2026. That places Conga ahead of Juro, Agiloft, ContractWorks, and LinkSquares on this measure, and level with ContractSafe.

The third win is platform strength on Google AI Overviews. Conga recorded 40.6% valid recommendation coverage on that surface across 138 observations, with 56 valid recommendations and a 3.16 average recommended rank. That is Conga's strongest platform result by a wide margin and its clearest pocket of recommendation power.

The fourth win is the absence of negative framing. Conga recorded zero negative mentions across 481 qualified observations. Its 89 positive and 40 neutral mentions mean the brand is never framed unfavorably in the benchmark data.

Conga does not hold category-leading position on any headline metric. The wins above are real but narrow, and they sit inside a mid-tier cluster where five brands fall between 18.1% and 20.6% coverage.

Where Conga Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Conga get mentioned in AI answers without being recommended?
• Where does Conga's recommendation coverage break down across platforms?
• Which competitors absorb the top-three and rank-one placements Conga is missing?

Conga's clearest gap is rank-one placement. The brand recorded a rank-one rate of 0.62% in October 2026, representing 3 observations out of 481. DocuSign recorded 23.28%, Ironclad 15.18%, PandaDoc 10.40%, and even ContractSafe recorded 4.16%. Conga is being recommended, but it is almost never the first brand AI systems name.

The second gap is the presence-to-recommendation conversion rate. Conga appeared in 26.82% of qualified observations but converted only 18.30% into valid recommendations. Icertis shows a similar pattern at a wider gap, with 34.3% presence and 18.3% coverage. Both brands are mentioned in contexts where AI systems describe the category without naming them as a recommended option.

The third gap is platform inconsistency. Conga's coverage ranges from 40.6% on Google AI Overviews to 0.0% on Copilot. On Copilot, Conga recorded 3 mentions across 39 observations and zero valid recommendations. On ChatGPT, Conga recorded 16.1% coverage across 56 observations, well below its AI Overviews result. The brand's recommendation strength is concentrated on one surface rather than distributed across the platform set.

The fourth gap is competitive displacement inside the Brand Recommendation cluster. DocuSign holds 60.70% coverage and 44.28% top-three placement in the same cluster where Conga holds 18.30% and 7.69%. When AI systems build a shortlist, DocuSign and PandaDoc occupy the top slots far more often than Conga does. The benchmark does not show which brand absorbs a specific Conga placement, but the concentration of top-three and rank-one credit among the leading three brands shows where the displacement sits.

The fifth gap is the neutral mention share. Conga carries 40 neutral mentions against 89 positive mentions, the highest neutral count outside DocuSign and Icertis. Neutral mentions are references, not recommendations, and they dilute the brand's recommendation-weighted visibility.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for Conga to convert presence into shortlist placement?
• Why is Conga's Google AI Overviews strength worth extending to other platforms?

Conga's biggest opportunity is converting its existing presence into top-three and rank-one placement inside the Brand Recommendation cluster. The brand already appears in 26.82% of qualified observations, which is higher than Agiloft, Juro, ContractSafe, LinkSquares, and ContractWorks. The constraint is not visibility. The constraint is that AI systems mention Conga without placing it at the top of the shortlist.

The clearest path runs through the platform where Conga already performs: Google AI Overviews, where the brand holds 40.6% coverage and a 3.16 average recommended rank. Strengthening the source and citation layer that AI Overviews draws from, and extending that same evidence pattern to ChatGPT and Copilot, is the most direct route from reference to recommendation. The benchmark shows Conga's recommendation strength is concentrated on one surface, and the opportunity is to make that strength portable across the platform set.

Competitive Landscape

Questions This Section Answers

• Where does Conga sit on shortlist placement compared with DocuSign, PandaDoc, and Ironclad?
• Which brands occupy the ranks just above and below Conga in top-three and rank-one placement?

DocuSign and PandaDoc hold recommendation-stage strength in the Contract Management Software category, with Ironclad as the strongest challenger on rank-one placement. Conga sits in a tightly clustered mid-tier where five brands fall between 18.1% and 20.6% valid recommendation coverage.

Average recommended rank covers rank-eligible recommendations only.

Conga's top-three rate of 7.69% places it level with ContractSafe and ahead of Juro, Agiloft, ContractWorks, and LinkSquares. Its rank-one rate of 0.62% is the second-lowest in the table, ahead only of LinkSquares at zero. Its average recommended rank of 3.39 sits in the middle of the field, behind DocuSign, PandaDoc, Ironclad, and Icertis. The table shows a brand that earns shortlist placement at a mid-tier rate but rarely earns the first position.

Prompt Evidence

Questions This Section Answers

• Which prompts produced Conga's strongest and weakest platform recommendations?
• What did each tracked platform surface show about Conga's recommendation coverage?

Google AI Overviews / Brand Recommendation Prompt: "contract lifecycle management software" Result: Conga recorded its strongest platform result here, with 40.6% valid recommendation coverage across 138 Google AI Overviews observations and a 3.16 average recommended rank.

ChatGPT / Brand Recommendation Prompt: "clm software" Result: Conga recorded 16.1% valid recommendation coverage across 56 ChatGPT observations, well below its AI Overviews result, with no rank-one placements.

Copilot / Brand Recommendation Prompt: "esign" Result: Conga appeared in 3 of 39 Copilot observations and received zero valid recommendations, showing a platform where the brand is mentioned but not shortlisted.

Perplexity / Brand Recommendation Prompt: "Is there a free e-signature service?" Result: Conga recorded 6.7% valid recommendation coverage across 60 Perplexity observations, with 4 valid recommendations and a 3.33 average recommended rank.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Conga's prompt-level recommendation outcomes across all six platforms, isolating where the brand is mentioned but not shortlisted and which competitors absorb the placement.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation cluster and the Google AI Overviews surface where Conga already performs, then extend the same evidence pattern to ChatGPT and Copilot.

Phase 3: Owned Answer Layer Buildout Strengthen Conga's owned pages so they answer the comparison, capability, and selection questions that AI systems currently resolve using third-party sources.

Phase 4: Citation / Authority Layer Development Build the source footprint that AI systems retrieve from, including review platforms, analyst pages, and comparison content, so Conga's recommendation case is easy to find and cite.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether presence is converting into placement.

Why This Matters

Questions This Section Answers

• What does Conga's presence-to-recommendation gap mean for buyers asking AI which contract management software to choose?

AI presence alone is not enough. Conga appears in more than a quarter of qualified observations, but it converts only 18.30% of them into a valid recommendation and 0.62% into a first-position recommendation. Buyers who ask AI systems which contract management software to choose are seeing Conga named, but they are seeing DocuSign, PandaDoc, and Ironclad named first far more often.

The next move is targeted correction of the prompt, page, and citation layers that shape those answers. Conga's strength on Google AI Overviews shows the brand can earn recommendation credit when the evidence layer supports it. Extending that pattern across platforms is the work that closes the gap between being mentioned and being chosen.

Core Metrics

Sentiment Score

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

For Conga in October 2026: (89 × 1 + 40 × 0 + 0 × -1) / 129 = 0.6899.

This matters because unclassified mention counts are misleading. A brand with 129 mentions sounds strong until the mentions are separated into positive recommendations, neutral references, and cautionary framing. Conga's 40 neutral mentions are references, not endorsements, and they pull the sentiment score down even though the brand carries no negative framing at all.

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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the difference between being named and being recommended is the difference between presence and pipeline.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Conga's AI recommendation visibility in the Contract Management Software category for October 2026. It is not a client implementation result.
2. The reporting window is October 2026, with comparison points at July 2026, August 2026, and September 2026.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. The October 2026 run began with 800 prompt-surface observations and 546 unique questions. Of those, 715 were relevant to the category and 481 survived qualification as the public denominator.
5. The competitor universe contains ten tracked brands: Agiloft, Conga, ContractSafe, ContractWorks, DocuSign, Icertis, Ironclad, Juro, LinkSquares, and PandaDoc.
6. The qualified observations fall entirely into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in the series.
7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when a tracked brand appears anywhere in an AI answer for a qualified observation, regardless of whether the brand is recommended.
9. A valid recommendation is counted only when the brand receives a bona fide recommendation, excluding passing mentions, neutral references, and comparison anchors.
10. Top-three rate is the share of qualified observations where the brand appears in a recommended shortlist's top three. Rank-one rate is the share where the brand is the single first recommendation.
11. Average recommended rank covers rank-eligible recommendations only. Conga's average recommended rank of 3.39 reflects the 88 observations where the brand received valid rank credit.
12. The benchmark does not measure market share, attributable sales, organic-search ranking, or causality from a metric movement alone. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Conga is winning and losing recommendation share across AI surfaces. A company-level AI visibility audit maps the prompt, platform, competitor, and source patterns behind those numbers into a prioritized strategy. If you want to see which high-intent prompts still recommend Conga, which now name a different vendor, and which sources shape those answers, start with an AI visibility audit.