Highspot vs Quantified
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Highspot is the stronger AI pick in Sales Enablement: it has a visibility score of 58.5 versus 1.2 for Quantified, and ranks ahead in 50% of the answers that name both.
Choose Highspot if…
- You want the brand AI engines rank higher (58.5 vs 1.2)
- You need SOC 2 Type 2 or ISO 27001:2022 or ISO 27701:2019 coverage
- strong user adoption
- intuitive content management and governance
Choose Quantified if…
- You need SOC 2 Type II coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Highspot | Quantified |
|---|---|---|
| Visibility score | 58.5% | 1.2% |
| Change vs last week | New | New |
| Rank in Sales Enablement | #1 | #31 |
| Share of voice | 10.6% | 0.3% |
| Mentions this run | 59 | 2 |
| Positive in AI answers | 37% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Highspot 0pp · Quantified 0pp over 0 weekly runs.
Engine by engine
Highspot leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Highspot | Quantified |
|---|---|---|---|
| Compare the leading Sales Enablement platforms | Perplexity | #1 | #13 |
| Which Sales Enablement tools offer annual discounts? | ChatGPT | #5 | #3 |
Features, pricing & fit
| Dimension | Highspot | Quantified |
|---|---|---|
| Pricing model | Flat tiers | Flat tiers |
| Entry price | Contact sales | Contact sales |
| Free plan | No | No |
| Deployment | — | Cloud-hosted on AWS in US East (Ohio) or Europe (Frankfurt), with a logically isolated tenant for each customer |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type 2, ISO 27001:2022, ISO 27701:2019 | SOC 2 Type II |
| Support | 24/7 global support, Dedicated customer success manager, Services team, Highspot University | Team builds personas, scenarios and rubrics alongside the customer's team, Calibration of scoring with the customer's trainers, Hands-on help during rollout and a success team after launch, Email help@quantified.ai |
| Founded | — | 2012 |
| Headquarters | — | Austin, Texas |
| Employees | — | 51–200 |
| Funding | Series F · $648M raised | Seed |
| Best for | Go-to-market teams that want sellers, managers, enablement and RevOps working from one governed platform for content, training and deal guidance. | Life sciences and regulated commercial teams that must certify reps and keep messaging on-label, such as pharma launch and training teams |
Plans side by side
Highspot
Quantified
Pros and cons
Themes from the AI answers that mention each brand
Highspot
- strong user adoption
- intuitive content management and governance
- analytics linking content to revenue
- guided selling, training and coaching
- high G2 ratings and market-leader status
- opaque custom pricing that requires a sales call
- no free tier or self-serve free trial
- expensive, often overkill for small or early-stage teams
- long enterprise deployment timelines of 3 to 6 months
Quantified
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Highspot vs Quantified”, https://slateindex.ai/compare/highspot-vs-quantified, data of Nov 2, 2026. Licence: CC BY 4.0.