Conga CLM vs GetAccept
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
GetAccept is the stronger AI pick in Proposals & Contracts: it has a visibility score of 15.7 versus 7.3 for Conga CLM, and ranks ahead in 57% of the answers that name both.
Choose Conga CLM if…
- AI answers describe it more positively (67% vs 43% positive)
- You need SOC 2 Type II or ISO 27001 or ISO 27701 or HIPAA or EU-U.S. Data Privacy Framework coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Enterprise-grade document generation, CPQ, and contract lifecycle management
Choose GetAccept if…
- You want the brand AI engines rank higher (15.7 vs 7.3)
- You need SOC 2 or GDPR or CCPA or eIDAS (AdES, QES) coverage
- All-in-one proposal and e-signature tool with document tracking
- Strong interactive deal rooms and sales-room features
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Conga CLM | GetAccept |
|---|---|---|
| Visibility score | 7.3% | 15.7% |
| Change vs last week | New | New |
| Rank in Proposals & Contracts | #13 | #8 |
| Share of voice | 2.5% | 4.8% |
| Mentions this run | 13 | 26 |
| Positive in AI answers | 67% | 43% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Conga CLM 0pp · GetAccept 0pp over 0 weekly runs.
Engine by engine
GetAccept leads on 3 of 3 engines
Head to head in AI answers
7 engine answers name both brands
| Prompt | Engine | Conga CLM | GetAccept |
|---|---|---|---|
| Top proposal and contract tool options for B2B SaaS companies | Perplexity | #10 | #5 |
| Best proposal and contract tool for enterprise | ChatGPT | #4 | #8 |
| Best proposal and contract tool for enterprise | Perplexity | #4 | #9 |
| Compare the leading Proposals & Contracts platforms | ChatGPT | #10 | #4 |
| Which Proposals & Contracts vendors do analysts recommend? | Perplexity | #8 | #4 |
| Official website of the top proposal and contract tool vendors | AI Mode | #3 | #7 |
| Official website of the top proposal and contract tool vendors | Perplexity | #8 | #7 |
Features, pricing & fit
| Dimension | Conga CLM | GetAccept |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | $25 per seat / mo |
| Free plan | — | No |
| Deployment | Flexible deployment options | Cloud-hosted SaaS |
| Compliance | SOC 2 Type II, ISO 27001, ISO 27701, HIPAA, EU-U.S. Data Privacy Framework | SOC 2, GDPR, CCPA, eIDAS (AdES, QES) |
| Support | — | Help center and chat support (06:00–00:00 UTC), Dedicated customer success manager (add-on) |
| Founded | 2006 | 2015 |
| Headquarters | Houston, Texas, United States | Palo Alto, California, United States |
| Employees | 1,001–5,000 | 51–200 |
| Funding | Venture round led by Insight Venture Partners and Salesforce Ventures | Series B, led by Bessemer Venture Partners |
| Best for | Large enterprises and high-growth businesses whose commercial complexity across sales, legal, finance and IT is high. | B2B sales teams: smaller teams that need e-signature, and larger teams scaling complex sales processes on the AI-native plan |
Plans side by side
Conga CLM
Pricing not available.
GetAccept
Pros and cons
Themes from the AI answers that mention each brand
Conga CLM
- Enterprise-grade document generation, CPQ, and contract lifecycle management
- Deep integration with CRM ecosystems and Salesforce
- Suited to complex sales cycles and complex, multi-layered agreement workflows
- Stronger choice for broader contract and agreement management
- Proposal generation integrated with broader CRM and document workflows
GetAccept
- All-in-one proposal and e-signature tool with document tracking
- Strong interactive deal rooms and sales-room features
- Good fit for heavier sales-enablement needs
- Suited to multi-stakeholder B2B SaaS deals
- Strong buyer engagement and analytics for CRM-centred sales
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Conga CLM vs GetAccept”, https://slateindex.ai/compare/conga-clm-vs-getaccept, data of Nov 2, 2026. Licence: CC BY 4.0.