What is Gong Platform? Features, Use Cases, Pricing & Alternatives

Q1: What Is Gong and What Does the Platform Actually Do in 2026? [toc=1. What Is Gong]

Gong is a revenue intelligence platform that captures, transcribes, and analyzes sales calls, emails, and meetings to surface deal health, forecasting, and coaching insights. It serves over 4,500 customers, including Microsoft and LinkedIn, and now markets itself as a "Revenue AI OS." But its foundation is Gen-2 conversation intelligence. It records the conversation, shows you a dashboard, then hands the work back to you.

🎙️ The category moment nobody says out loud

A RevOps lead I spoke with kept Gong open in a second monitor all day. She was not using it. She was scrolling call cards, hunting for the one deal detail her rep forgot to log. That is the quiet tension with Gong in 2026. The recording is excellent. The "now what" is still your job.

Here is the plain-English version. Gong listens to every sales conversation. It writes down what was said. It tags topics, competitor mentions, and talk ratios. Then it puts all of that behind a login you have to open and read.

🧱 What Gong actually is, defined simply

Think of Gong as three layers stacked like a cake. The bottom layer is conversation intelligence, meaning call recording plus transcription plus keyword tracking. The middle adds deal boards and forecasting. The top, newer layer is its "Orchestrate" agent messaging, launched in October 2025, which Gong says can double rep productivity (a vendor claim, not yet independently verified).

Most buyers only ever taste the bottom layer. And that bottom layer, honestly, is becoming a commodity. Zoom, Microsoft Teams, and Google Meet all record natively now. If a recorded file is all you want, you may not need Gong at all.

"Gong has become the single source of truth for our sales team. From deal management to forecasting it's been really easy to gain adoption across the team."
Scott T., Director of Sales Gong G2 Verified Review

That loyalty is real, and I want to be fair about it. Gong earned its position as the market leader in call coaching and meeting capture.

⚙️ Why the "Revenue AI OS" label deserves a second look

Gong was built over a decade ago, before generative AI existed. Its core still runs on keyword-based machine learning, not contextual reasoning. So when the marketing shifts to "AI OS" and "agents," it is worth asking what changed underneath.

Gartner itself renamed this category in 2025, from "Revenue Intelligence" toward "Revenue Action Orchestration." The whole market is moving from showing insight to acting on it. The question is whether a Gen-2 architecture can truly act, or just relabel dashboards as agents.

"It's too complicated, and not intuitive at all. Using it is very...discomforting. Some people figure it out, but I think most just fumble through."
John S., Senior Account Executive Gong G2 Verified Review

I could be wrong on where Gong lands in two years. But from what surfaces when you actually run these tools side by side, recording is table stakes and action is the real frontier.

🤖 Where Oliv.ai fits

This is the lens for the whole article. Revenue tools have moved through three generations, from systems of record, to conversation intelligence, to AI-native agents that do the work. Oliv.ai sits in that third generation, alongside the newest revenue intelligence software platforms. Instead of recording a call and handing you a dashboard, our agents update the CRM, draft the follow-up, and flag the deal risk on their own. Gong shows you what happened. We think the next decade belongs to tools that act on it.

Q2: What Are Gong's Core Features and Modules (Foundation, Engage, Forecast)? [toc=2. Features & Modules]

Gong's features are organized into three modules. Foundation covers recording, transcription, conversation intelligence, Smart Trackers, and coaching libraries. Engage adds sales engagement and email personalization. Forecast adds AI forecasting and deal-risk analytics. Users praise recording and coaching. Forecasting and Engage draw the most criticism. The shared limitation is keyword-based analysis and a 20 to 30 minute processing delay, not contextual generative AI.

📋 The feature map at a glance

Here is what each module actually gives you.

• Foundation: call recording, searchable transcripts, Smart Trackers, talk ratios, coaching scorecards, and call libraries.
• Engage: email sequencing, cadences, and dialer workflows for outbound reps.
• Forecast: roll-up forecasting, deal boards, and pipeline risk scoring.
• Cross-cutting: 300+ integrations, including Salesforce, HubSpot, and Dynamics.

That is a genuinely broad catalog. The catch is that most teams buy the whole thing and use a slice of it.

🔍 Conversation intelligence: strong capture, shallow reading

Gong's recording is its best feature. It reliably joins Zoom, Teams, and Meet calls, then produces a searchable transcript with timestamps. Reps use it to double-check what a client committed to.

"It's good for going back and double checking what the client said, so that you can ensure that you get things right or you have backup to help correct a situation."
John S., Senior Account Executive Gong G2 Verified Review

The ceiling shows up in the analysis. Smart Trackers work by matching keywords, so they flag a competitor's name without knowing if you are actually competing. They cannot tell "we looked at Salesforce years ago" from "we are in a bake-off with Salesforce right now." That is a big difference for a deal review.

📊 Deal boards and forecasting: activity, not context

Gong's deal boards pull calls, emails, and CRM activity into one view. That solved a real problem for a lot of teams.

"Before Gong we had a lack of visibility across our deals because information was siloed in several places like CRM, Email, Zoom, phone. Now all of this is centralized in one view via the Gong deal boards."
Scott T., Director of Sales Gong G2 Verified Review

But the boards track activity, meaning how many emails and calls happened, not what those interactions mean for the deal. Gong and Clari both lean on activity signals and keyword trackers. From what I have seen inside real pipelines, that gives you a busy-looking board and a poor read on which deals will actually close. A deeper look at Gong forecasting shows the same pattern.

⚠️ Engage: the module reviewers regret

Engage is where the complaints get loud. It was added later, and it shows.

"We've had a disappointing experience with Gong Engage. The platform lacks task APIs, does not integrate with other vendors or parallel dialers, and isn't built to function as a proper sequencing tool."
Anonymous User Gong G2 Verified Review

There is also a speed problem across the board. Gong processes a call in roughly 20 to 30 minutes. For a fast rep jumping between back-to-back meetings, that delay means the notes land too late to matter.

🤖 Where Oliv.ai fits

Where Gong flags a keyword, Oliv.ai reads intent. Our fine-tuned models tell a passing competitor mention apart from an active evaluation, which is the signal a deal review actually needs. We also process a call in about five minutes, not thirty, and pull context from unrecorded phone calls, Slack, and Telegram that Gong's meeting-centric capture never sees. Teams comparing the best AI for sales calls notice the difference fast. The point is not more dashboards. It is a deal picture built on meaning, delivered before your next call starts.

Q3: What Are Gong's Use Cases, and Who Is It Really Built For? [toc=3. Use Cases & Fit]

Gong works best for enterprise sales orgs with dedicated RevOps, structured coaching, and long deal cycles. Onboarding ramp, call libraries, and deal-board visibility are genuine strengths there. It fits poorly for lean mid-market teams without RevOps, for customer success teams who pay full price for a basic recorder, and for high-velocity 15 to 20 day cycles where recording volume becomes unmanageable.

🏢 Situation: where Gong genuinely shines

Picture a 300-rep enterprise with a real enablement team. New hires ramp by listening to a library of winning calls. Managers run structured coaching from scorecards. Deal boards give leadership one place to inspect the quarter.

In that world, Gong earns its price. The volume of calls justifies the analysis, and the RevOps team has the hours to configure it. Teams looking at dedicated sales coaching software often start here.

"Gong has become the single source of truth for our sales team. From deal management to forecasting it's been really easy to gain adoption across the team."
Scott T., Director of Sales Gong G2 Verified Review

💸 Complication: the customer success "tax"

Here is where the standard read gets it backwards. Gong charges customer success teams the same per-user fee as sales. But the product was built for sellers, not for CS.

So a CS team pays a premium price for what is, functionally, a basic meeting recorder. They get little of the deal-scoring value that justifies the cost. That is a quiet line item that CFOs miss until renewal.

⏰ The Thursday grind, and the mid-market misfit

There is a lived moment I hear constantly from sales managers. Every Monday there is a forecast call. So on Thursday and Friday, the manager sits with each rep for one to two hours, drags the real story out of them, then types it into the forecast by hand.

Gong does not remove that grind. It gives you more recordings to review, which for a busy manager can feel like more homework, not less. For a lean 25 to 60 rep team without RevOps, that overhead rarely pays off.

Mid-market alternatives are not an easy fix either, to be fair.

"There's so much in Gong, that we don't use everything. Gong's deal forecasting we don't use."
Karel Bos, Head of Sales Gong TrustRadius Verified Review

✅ Resolution: a quick fit rubric

Use this gut check before you sign.

• Good fit: 100+ reps, dedicated RevOps, structured coaching, long deal cycles.
• Think twice: under 60 reps, no RevOps, CS-heavy usage, or 15 to 20 day cycles.
• Probably wrong: you mainly want a recorded file (Zoom does that free).

🤖 Where Oliv.ai fits

The Thursday-and-Friday grind is exactly what Oliv.ai's Forecaster Agent removes. Instead of interrogating every rep for two days, the agent inspects each deal line by line and drops a board-ready roll-up in the manager's inbox by Monday. For lean mid-market teams without a RevOps function, that shifts the tool from "more calls to review" to "the work is already done." It is why teams evaluating AI sales forecasting software keep landing on agents. That is the difference between software you operate and an agent that operates for you.

Q4: How Much Does Gong Really Cost in 2026 (Including Hidden Fees)? [toc=4. Real Pricing & TCO]

Gong does not publish pricing. In 2026, expect roughly $1,400 to $1,600 per user per year for Foundation, and up to about $3,000 per user per year bundling all three modules. On top sits a mandatory $5,000 to $50,000 platform fee, plus separate implementation. A 20-person team quoted $50,000 saw $10,000 of it go to a third-party implementation vendor. Engage cannot be bought standalone, so it requires a Foundation seat, which effectively doubles per-user cost.

💰 The real cost stack, not the sticker price

The per-user number is only the start. The full bill has four layers most buyers do not see until the contract arrives.

• Module licenses: Foundation, Engage, and Forecast, each priced separately.
• Platform fee: a flat $5,000 to $50,000 per year, charged no matter your team size.
• Implementation: often a third-party vendor, not Gong itself.
• Forced bundling: Engage needs a Foundation seat, so you pay twice for reps who need both.

I was talking to someone last week evaluating Gong for a team of 20. Their quote was $50,000, and $10,000 of that was implementation paid to an outside vendor. That is before a single rep logs in. A closer look at Gong pricing confirms the pattern.

📉 The bundle "penalty" and the price creep

Here is the counterintuitive part. Buying all three modules together often costs slightly more than the sum of the add-ons, because platform and implementation fees scale up with the bundle. And effective per-user cost has climbed 25 to 56 percent from 2023 to 2026 as Gong shifted everyone onto the mandatory Foundation model.

Roughly 73 percent of organizations report unexpected expenses in field mapping, API packages, and implementation timelines. Commit to a multi-year term, and exiting early can trigger a steep penalty. The Gong implementation timeline adds to that cost.

"It was a big mistake on our part to commit to a two year term. Gong is a really powerful tool but it's probably the highest end option on the market. All have said the same thing, they've been fine using a lower cost, simpler alternative."
Iris P., Head of Marketing, Sales & Partnerships Gong G2 Verified Review

🧾 A 10-person team, side by side

Numbers make it concrete. Here is a like-for-like annual view.

🤝 One tactical tip on negotiation

If you must buy Gong, bring competitive pressure. Buyers who put Avoma, Chorus, or Jiminny on the table and commit to a multi-year term often land around $52,700 to $57,000, roughly 10 to 15 percent below the 25th percentile of quotes. Silence gets you the rack rate.

🤖 Where Oliv.ai fits

Oliv.ai's agents start at $19 per user with no platform fee, and typically run 60 to 70 percent below comparable Gong functionality. You buy the Meeting Assistant Agent at $19, add the CRM Manager at $29, and the Forecaster when you need it, one agent at a time. There is no forced bundle and no five-figure entry toll, which is why a side-by-side Gong vs Oliv comparison favors the agent-first model. For a leader 90 days from a Gong renewal, that is the cheapest moment to ask a simple question. Are you paying for a recorder, or for a revenue team?

Q5: Integrations, Security, and the Data-Portability Problem [toc=5. Integrations, Security & Data]

Gong offers 300+ integrations, including Salesforce, HubSpot, Dynamics, Slack, and Zoom, and it meets enterprise security bars: SOC 2 Type II, ISO 27001, GDPR, CCPA, HIPAA, and AES-256 encryption. The catch is portability. Gong's integrations are largely one-way, with no bulk export API and proprietary formats. Pulling your intelligence back into your CRM can cost real developer time, reportedly around $4,000 per 1,000 calls.

🔌 The integration breadth is real

Let me give Gong full credit first. It connects to almost everything a mid-market stack runs.

• CRMs: Salesforce, HubSpot, and Microsoft Dynamics.
• Comms: Zoom, Teams, Google Meet, and Slack.
• Dialers and engagement tools across the board.

That 300+ number is not marketing fluff. For a large org, breadth of connection genuinely reduces setup friction. A full map of Gong integrations shows how wide it reaches.

🔒 Compliance that clears the IT gate

On security, Gong does the work. It holds SOC 2 Type II, which means an auditor verified its security controls over time. It adds ISO 27001, GDPR, CCPA, and HIPAA coverage, plus AES-256 encryption at rest and in transit.

For an IT or legal reviewer, that checklist clears fast. This is not where Gong loses points, and a closer read of Gong DPA and security confirms it.

⚠️ The one-way data silo nobody warns you about

Here is the part the standard review skips. Gong pulls data in beautifully. Getting it back out is another story.

Gong tries to become the center of your universe by ingesting every call, email, and signal. But it does not push that intelligence back into your CRM, which is your real source of truth. The integrations mostly flow one direction, into Gong, not out.

RevOps teams feel this daily. The API exists, but it is wonky, so teams write custom code just to extract data for basic analysis. One Reddit user reported Gong's Salesforce writes consumed their entire storage quota at 25MB daily.

"There's so much in Gong, that we don't use everything. Gong's deal forecasting we don't use."
Karel Bos, Head of Sales Gong TrustRadius Verified Review

💸 What lock-in actually costs you

The export problem has a price tag. Gong provides no bulk download API, so pulling your history means individual call files, one at a time.

Teams report needing dedicated developer resources to extract everything, roughly $4,000 in developer time per 1,000 calls. Gong maintains that individual file access meets the "readily usable format" bar under CCPA. Users I have spoken with call that impractical at any real volume.

🤖 Where Oliv.ai fits

We treat portability as a right, not a favor. Oliv.ai offers native bulk-export APIs and a full CSV dump of every meeting and recording on termination, so your data never gets held hostage. More importantly, our CRM sync is bi-directional. It writes intelligence back into Salesforce or HubSpot, updating fields and creating contacts, not just pulling data in. This is what separates the best revenue intelligence software platforms from legacy recorders. Gong wants to be the center of your universe. We would rather make the CRM you already own actually accurate.

Q6: Is Gong Really "AI-Native"? The Revenue AI OS and Orchestrate Reality Check [toc=6. Agentic Pivot Reality Check]

Gong now markets itself as a "Revenue AI OS," and its October 2025 Gong Orchestrate launch claims to double rep productivity and speed execution fivefold. Those are vendor claims layered on a decade-old, keyword-based, meeting-centric foundation. True third-generation AI-native platforms are built agent-first from day one. There is a real difference between bolting agents onto a recorder and building agents that do the work.

📢 What Gong is claiming now

The messaging has shifted hard. Gong no longer calls itself a call-recording tool. It calls itself a "Revenue AI OS," an operating system for your whole revenue motion.

Its Gong Orchestrate launch, announced in October 2025, promises agents that double rep productivity and accelerate execution 5x. I want to be fair. Those are the vendor's own numbers, not independently audited results. Treat them as claims until a third party confirms them.

🔧 Pressure-testing the "AI-native" label

Here is where the standard read gets it backwards. Adding an agent layer on top does not make the engine underneath AI-native.

Gong's core still runs on keyword trackers and activity signals, the same Gen-2 mechanics from a decade ago. It still processes calls with a 20 to 30 minute delay. It still pulls data one direction, into its own walls. You can paint "agent" on that, but the plumbing is pre-generative AI.

Gartner itself renamed the category in 2025, moving from "Revenue Intelligence" toward "Revenue Action Orchestration." The whole market is racing toward action. The shift from revenue ops to intelligence to orchestration is real. The open question is whether legacy architecture can sprint or just jog in a new outfit.

🤖 What "agent-native" actually means

Let me make this concrete with an analogy I keep coming back to. A vending machine is traditional automation. Fixed input, fixed output, nothing more.

An AI agent is closer to a smart employee. It reads context, makes a judgment, and does the task without being told each step. That is the line between software you operate and an agent that operates for you. The best revenue orchestration platforms now build to that standard.

The honest test is simple. Does the tool hand you a dashboard to read, or does it complete the work? Gong still buries you in data. I could be off on the timeline, but where my head is right now is that the next two years belong to tools that act, not tools that display.

🤖 Where Oliv.ai fits

Oliv.ai was built agent-first, not retrofitted. We run 30+ specialized agents on a fine-tuned LLM data platform, so the intelligence and the action live in the same system. The CRM Manager Agent updates records after every call. The Forecaster Agent inspects deals and ships a roll-up. This is not an AI layer painted onto a 2013 recorder. It is what "AI-native" looks like when it is the foundation instead of the marketing, and it ranks among the best AI sales tools for that reason.

Q7: What Do Real Gong Reviews Say in 2026? G2, Gartner, Reddit, and YouTube [toc=7. 2026 User Reviews]

Across G2, TrustRadius, Gartner, Reddit, and YouTube in 2026, Gong sentiment is genuinely mixed. Reviewers praise conversation capture, coaching libraries, and deal-board visibility. Criticism clusters around four themes: cost and bundling, interface complexity and underutilization, processing delays, and a widely disliked Engage module with rushed support. Roughly 73 percent of teams seeking alternatives cite cost and complexity as the reason.

⭐ What users genuinely love

Let me start with the wins, because they are real. Gong's capture and coaching value show up again and again.

"Gong has become the single source of truth for our sales team. From deal management to forecasting it's been really easy to gain adoption across the team."
Scott T., Director of Sales Gong G2 Verified Review

The deal-board visibility earns specific praise too. Teams that lived in siloed data finally saw one view.

"Before Gong we had a lack of visibility across our deals because information was siloed in several places like CRM, Email, Zoom, phone. Now all of this is centralized in one view via the Gong deal boards."
Scott T., Director of Sales Gong G2 Verified Review

⚠️ Where the complaints cluster

Now the doubt. The same platform that earns loyalty also frustrates people, and the pattern is consistent.

Complexity is the first wall. New users often fumble through the interface rather than master it. A wider sweep of Gong reviews shows the same theme.

"It's too complicated, and not intuitive at all. Using it is very...discomforting. Some people figure it out, but I think most just fumble through and tell tall tales about how easy it is for them to use."
John S., Senior Account Executive Gong G2 Verified Review

Speed is the second. The processing lag disrupts a fast rep's day.

"It takes an eternity to upload a call to listen to it."
Remington A., Team Lead Gong TrustRadius Verified Review

💸 The cost-and-Engage pattern

Two themes dominate the negative reviews: price regret and the Engage module. Both show up across sources.

"We've had a disappointing experience with Gong Engage. The platform lacks task APIs, does not integrate with other vendors or parallel dialers, and isn't built to function as a proper sequencing tool."
Anonymous User Gong G2 Verified Review

The Reddit chatter echoes it. Underutilization is the quiet theme, with 43 percent of teams using only basic recording and 67 percent citing cost as their reason to shop around.

"There's so much in Gong, that we don't use everything. Gong's deal forecasting we don't use."
Karel Bos, r/sales Reddit Thread

The verdict? Gong delivers real conversation intelligence, but cost, complexity, and support drag satisfaction down. The praise is for capture. The pain is everything after it.

🤖 Where Oliv.ai fits

The recurring complaints, delay, complexity, and cost, are exactly the friction Oliv.ai's autonomous agents remove. We match the praise, capture and coaching, natively, then close the gap on the pain: five-minute processing instead of thirty, transparent pricing from $19 per user, and agents that do the work so nobody "fumbles through" a dashboard. Teams shopping for sales coaching software notice the shift. When 73 percent of shoppers leave over cost and complexity, the fix is not a better dashboard. It is not needing one.

Q8: What Are the Best Gong Alternatives in 2026? [toc=8. Best Alternatives]

The strongest Gong alternatives in 2026 fall into two camps. Point tools include Clari for forecasting, Salesloft and Outreach for engagement, Chorus, and Fireflies for lightweight capture. AI-native unified platforms, like Oliv.ai, are the other camp. Point tools recreate Gong's core problem, a $500-plus per-user stack of siloed tools. AI-native agents consolidate conversation intelligence, forecasting, and CRM updates into one platform at a fraction of the cost.

🎂 The problem with the "just add another tool" playbook

Here is the trap I watch mid-market teams fall into. They buy Gong for calls, Clari for forecasting, and Salesloft for engagement. That stack quietly passes $500 per user per month for a 25 to 200 rep team.

Think of it as three layers of a cake. The bottom layer is baseline conversation intelligence, a Gong replacement. That layer is basically the previous decade, a commodity. The value lives in the agentic layers above it, and stacking point tools never gets you there. A full list of Gong alternatives makes the pattern clear.

📊 The alternatives, side by side

Here is an honest read across the realistic options.

⚖️ Best-for verdicts

Numbers only tell half the story. Here is the plain-English fit for each.

• Clari: best for large enterprises that need heavy roll-up forecasting and already have RevOps to run it. Weak on conversation context, as a Gong vs Clari comparison shows.
• Salesloft / Outreach: best for high-volume outbound cadences. Do not expect real forecasting or external call capture. See the Gong vs Salesloft breakdown.
• Chorus.ai: honestly hard to recommend now. It has stagnated since the ZoomInfo acquisition and needs that ecosystem, per this Gong vs Chorus comparison.
• Fireflies.ai: fine for a small team that just wants transcripts. It is not a revenue platform.

A word on the cheaper clones. Avoma tries to be a budget Gong, but users report it works reliably only for the smallest teams, and even then unevenly. Cheaper is not the same as fit, as these Avoma user reviews make clear.

"The recordings are very easy to set up, navigate, go through and find the most important bits of it. The pricing is probably the biggest obstacle and hence we are looking to change."
Miodrag, Enterprise Account Executive Gong G2 Verified Review

🤖 Where Oliv.ai fits

Oliv.ai is best for teams that want Gong-grade capture plus autonomous forecasting and CRM updates in one platform, at $19 to $49 per user. Instead of buying Gong, Clari, and Outreach separately, you replace the whole stack with agents that act. You get the bottom layer of the cake for free, essentially, and the layers that matter, the ones that do the work, built in. A direct Gong vs Oliv comparison shows the gap. For a 25 to 200 rep team staring at a $500-per-user stack, that is not a nicer tool. It is a smaller bill and less to manage.

Q9: Should You Buy Gong or Switch? A 2026 Decision Framework [toc=9. Buy or Switch Decision]

Choose Gong if you have dedicated RevOps, budget for $250 per user plus platform fees, and tolerance for a multi-month rollout. Choose an AI-native platform like Oliv.ai if you want value in days, transparent modular pricing, and agents that update your CRM on their own. The real question is not whether Gong works. It is whether the operational investment justifies the outcome now that agents can do the work.

🗓️ The renewal-window moment

Every fall, I watch the same scene repeat. A RevOps lead opens a Gong renewal quote, sees the number climb again, and quietly starts a spreadsheet of alternatives. This is the season of Gong replacements, renewals on steroids.

That timing is your leverage, not your trap. Ninety days before renewal is the cheapest moment to ask a hard question. Are you paying for a suite you barely use, and why does your expensive stack still fail to keep your CRM accurate? A quick look at the Gong implementation timeline shows why that window matters.

✅ When Gong is genuinely the right call

Let me be fair, because Gong is not a bad tool. For the right org, it earns its price.

• You have a dedicated RevOps team with hours to configure and maintain it.
• You can absorb $250 per user plus a five-figure platform fee.
• You run long deal cycles and structured coaching at real scale.
• You can wait through a multi-month implementation.

If most of those are true, Gong remains a solid, if pricey, choice. There is no shame in buying the market leader when it fits, though a scan of Gong pricing is still worth your time.

⚠️ When it is time to switch

Here is where the standard read gets it backwards. The question was never "does Gong record calls well." It clearly does. The question is whether you should still buy software you log into and operate by hand.

Switch when the pain sounds like this. You use a fraction of what you pay for. Your CRM is still wrong after every call. Your managers still burn Thursday and Friday dragging the forecast out of reps. Two-year lock-in makes that pain expensive to escape. A broader list of Gong alternatives is worth a look here.

"It was a big mistake on our part to commit to a two year term. Gong is a really powerful tool but it's probably the highest end option on the market. All have said the same thing, they've been fine using a lower cost, simpler alternative."
Iris P., Head of Marketing, Sales & Partnerships Gong G2 Verified Review

The underutilization is not rare, either. Roughly 43 percent of teams use only basic recording while paying for the full suite.

"There's so much in Gong, that we don't use everything. Gong's deal forecasting we don't use."
Karel Bos, r/sales Reddit Thread

💰 The three-year math nobody runs

Most buyers compare year-one sticker prices. That is the wrong lens. Run the three-year total cost of ownership, meaning license plus platform fee plus implementation plus the RevOps hours to keep it alive.

On that basis, an AI-native platform can land roughly 91 percent below Gong's three-year cost for around 100 users. That gap is not a discount. It is the difference between renting a decade-old architecture and buying one built for how work happens now. The best revenue intelligence software platforms now reflect that shift.

🤖 Where Oliv.ai fits

Choose Oliv.ai if you want value in days instead of months, transparent pricing from $19 per user with no platform fee, and agents that update Salesforce or HubSpot on their own. You are not buying another dashboard to check. You are hiring a set of agents that do the forecast prep, the CRM hygiene, and the follow-ups, which is why teams comparing AI sales forecasting software keep landing here.

Where my head is right now is this. In the next two years, the SaaS you log into becomes agents that work for you, and revenue orchestration gives way to revenue orchestration and engineering. If you are 90 days from a Gong renewal, that is the cheapest moment to test whether you are paying for a recorder or a revenue team. Tell us what your stack looks like, and we will map the gaps with you.