Gong vs People.ai: Which Is Better for Outbound in 2026?
If you are weighing Gong vs People.ai in 2026, you are comparing two revenue intelligence platforms that look adjacent but solve quite different problems. Gong captures and analyzes sales conversations. People.ai captures and analyzes sales activity. Picking the wrong one means paying mid-six figures for capability your team will not use, and missing the capability they actually needed.
We work with revenue teams that have evaluated, bought, and sometimes replaced both. Below is a fair head-to-head: pricing, what each platform actually does, AI quality, integrations, and which one fits which kind of org.
What Each Product Actually Is
The clearest way to choose between Gong and People.ai is to understand what each platform was built around. The DNA shows.
Gong is the conversation intelligence category leader. The product records and transcribes sales calls, scores them across dozens of dimensions, surfaces coaching moments, and feeds the signal into deal intelligence and AI forecasting. Gong has activity capture features, but the gravity is in the call.
People.ai is an activity capture and revenue operations platform. The product connects to your email, calendar, and CRM, and uses AI to extract every customer touch (sent emails, received emails, meetings, calls logged) and attribute them to the right account, opportunity, and contact in your CRM. People.ai also has conversation intelligence features, but the gravity is in activity capture and CRM data quality.
The cleanest mental model: Gong listens to the call. People.ai watches the relationship.
Pricing Comparison
Both products use quote-based pricing. Realistic 2026 ranges:
| Plan | Gong | People.ai |
|---|---|---|
| Entry (25-50 users) | $1,200-$1,600 per user/year | $1,400-$1,800 per user/year |
| Mid-tier (50-200 users) | $1,400-$1,800 per user/year | $1,600-$2,000 per user/year |
| Enterprise (200+ users) | $1,500+ per user | $1,800+ per user |
| Platform fee | $5,000-$15,000 one-time | $25,000-$75,000 one-time |
| Contract length | Annual minimum | Annual minimum, typically multi-year |
People.ai is consistently more expensive than Gong, sometimes 20 to 30 percent more on a per-user basis. The platform fee is also higher because the implementation is substantial (CRM data mapping, account hierarchy modeling, activity attribution rules). Some People.ai deals run six-figure platform fees alone.
The pricing difference reflects what you are buying. People.ai is a bigger, deeper, more enterprise-oriented platform. If you are a 30-rep team, Gong's price-to-value is usually better. If you are a 300-rep enterprise SaaS company, People.ai's value usually justifies the premium.
Activity Capture and CRM Data Quality
This is People.ai's home dimension and the area where it wins decisively.
People.ai captures every email sent and received, every calendar invite, every meeting attended, and every CRM touch. It then uses AI to deduplicate, attribute to the right account and opportunity, and write the signal back into Salesforce or Microsoft Dynamics. The result is a CRM where account activity is actually complete, accurate, and reliable. For enterprise revenue ops teams who run the business off CRM data, this is transformative.
Gong has activity capture, but it is shallower. Gong pulls calls and selected email activity. The product is not designed to be the source of truth for every customer touch across the org. If your real problem is "our CRM data is incomplete and our reps do not log activity reliably," Gong does not solve that. People.ai does.
Verdict on activity capture and CRM quality: People.ai wins.
Conversation Intelligence Quality
This is Gong's home dimension and the area where it wins decisively.
Gong's AI is the deepest conversation intelligence in the category. Call scoring, coaching workflows, deal warnings, competitor mention tracking, and AI-driven forecasting are all best-in-class. Reps and managers live inside the product because the call-level signal is genuinely actionable.
People.ai's conversation intelligence (built on top of the activity capture platform) is competent, but it is not the depth of Gong. For teams that want best-in-class call coaching and conversation-derived deal intelligence, Gong is the right answer.
Verdict on conversation intelligence: Gong wins.
Multi-Threading and Account Coverage
People.ai's strongest enterprise use case is multi-threading and account coverage visibility.
The platform tracks every contact engaged inside every account, who on your side is engaging them, and which contacts on the buyer side have gone quiet. For enterprise reps running complex multi-stakeholder deals, the multi-threading view is genuinely useful. Revenue leaders can see which deals are dangerously single-threaded and which accounts have full buying committee engagement.
Gong has multi-threading awareness inside deals, but the depth is shallower. The product was not built around account-level relationship mapping. For ent-sales-team selling into Fortune 500 accounts with 8-stakeholder buying committees, People.ai is the better fit.
For mid-market teams running shorter sales cycles with 1 to 3 stakeholders, this dimension matters less.
Forecasting and Deal Intelligence
Both products have forecasting and deal intelligence features.
Gong Forecast uses conversation data plus CRM data to produce AI-driven forecasts. The product is solid and improving.
People.ai's forecasting uses activity data plus CRM data to produce forecasts and deal-stage probability scores. The forecasting is competitive with Gong for teams that have already standardized on People.ai for activity capture.
If forecasting is the primary use case, neither Gong nor People.ai is the best-in-class answer. That is Clari. If forecasting is a secondary use case alongside CI or activity capture, both products are sufficient.
Side-by-Side Feature Comparison
| Feature | Gong | People.ai |
|---|---|---|
| Call recording and transcription | Best-in-class | Competent |
| AI call scoring and coaching | Deepest in category | Solid |
| Activity capture (email, calendar, CRM) | Limited | Best-in-class |
| Multi-thread account view | Deal-level only | Account-level, deep |
| CRM data hygiene | Indirect | Direct, automated |
| AI forecasting | Gong Forecast (mature) | Activity-driven, competitive |
| Coaching workflows | Structured, mature | Thinner |
| CRM integration | Salesforce, HubSpot, Dynamics | Salesforce primary, Dynamics, no HubSpot |
| Pricing (per user/year) | $1,200-$1,800 | $1,400-$2,000 |
| Best for | Sales-led, coaching-heavy orgs | Enterprise revenue ops, multi-thread accounts |
So Which One Should You Pick?
Pick Gong if you are a sales-led mid-market or growth-stage company, your coaching is conversation-driven, your sales motion lives inside calls, and you want AI deal intelligence derived from what was said in the room.
Pick People.ai if you are an enterprise B2B company, your accounts have large buying committees, your CRM data quality is a real bottleneck, and your revenue ops team needs complete activity attribution to run the business.
Pick both if you are a large enterprise with both problems and the budget to solve both. This is genuinely common for $500M-plus revenue SaaS companies that run Gong for AE coaching and People.ai for revenue ops infrastructure.
Pick neither if your real problem is pipeline volume. Both platforms amplify what is already happening. If outbound is not generating reliable buyer conversations, neither product fixes that. Build the pipeline first.
Where LeadHaste Fits
Most outbound teams shopping revenue intelligence platforms have a more fundamental issue: not enough qualified meetings. Gong and People.ai are leverage tools. They make existing sales motion more effective. Neither one creates buyer conversations that did not exist before.
LeadHaste is the system that produces those conversations. We orchestrate 20+ tools (data, infrastructure, sequencing, AI personalization, reply handling, CRM sync) into one outbound machine that compounds month over month. Once you have steady qualified pipeline, layering Gong or People.ai on top makes sense. Until then, the better investment is the pipeline that those platforms will eventually analyze.
You can see what that compounding looks like in our case studies.
Buying a revenue intelligence platform before you have a reliable outbound motion is like buying a microscope before you have a sample. The instrument is useless without something to look at.
Ready to Build the Pipeline Worth Analyzing?
Whether you end up on Gong, People.ai, or both, the platforms only matter if your outbound is generating the meetings, calls, and activity worth measuring. That is what we build.
Frequently Asked Questions
A modern outbound stack includes: data enrichment (Apollo, Clay, ZoomInfo), email infrastructure (Google Workspace, custom domains), sending tools (Smartlead, Instantly), warm-up services (Warmbox), LinkedIn automation (Expandi, Dripify), CRM integration (HubSpot, Salesforce), and analytics platforms. Most agencies use 15–30 tools orchestrated together.
Building your own stack costs $3K–5K/month in software alone, plus a dedicated person to manage it. With a managed service, you get all the tooling plus the expertise to orchestrate it — often at lower total cost. The key question: can you afford to spend 6–8 weeks setting up instead of generating pipeline?
There's no single 'best' tool — it depends on your volume, budget, and integration needs. Smartlead and Instantly are popular for high-volume sending. Apollo doubles as a data and sequencing platform. The real advantage comes from how tools are orchestrated together, not from any single tool choice.
Look for three things: (1) Do you own the infrastructure they build? (2) Do they guarantee results or just charge a retainer? (3) Can you see transparent metrics and real case studies with specific numbers? Avoid long contracts, vague reporting, and agencies that own your domains.
Data enrichment is the process of taking basic company or contact data and adding layers of detail — job titles, direct emails, phone numbers, technographics, intent signals, company size, funding stage, and more. Enrichment tools like Apollo, Clay, and ZoomInfo pull from multiple data sources to build a complete prospect profile before outreach begins.
Dimitar Petkov
Co-Founder of LeadHaste. Builds outbound systems that compound. 4x founder, Smartlead Certified Partner, Clay Solutions Partner.
