The short answer
Highspot and Seismic are one company now. Seismic completed its merger with Highspot on 18 August 2026 and operates under the Seismic name, and Highspot is sold as "Highspot by Seismic". Both product lines still serve customers, so "Highspot vs Seismic" has become a question about which product line fits your team, and what the combined company commits to in writing. For the wider category map, see AI sales tools compared.
What happened
Seismic announced on 18 August 2026 that it had completed its merger with Highspot. The combined company is led by Seismic CEO Rob Tarkoff and, by its own count, serves 2,500 customers with 3.5 million sales, marketing and enablement users. Seismic says it plans to invest over $100 million a year in research and development.
The stated direction is a shift "from GTM preparation to GTM performance", in Tarkoff's words. His follow-up post names three priorities: "execution in the flow of work", "a connected revenue engine" and "trust at enterprise scale", with governed content as the foundation for AI agents.
For Highspot customers, Highspot's merger page says there is "no immediate change to how you use Highspot, including the same login, workflows, and support", that "there are no migration plans for Highspot by Seismic customers", and that analytics history will be treated "as a business asset". For buyers in an active evaluation, it says "both platforms continue to serve customers today, and we will be clear about what is available now and what is planned". Seismic said it would share the first in-depth look at its roadmap at Seismic Shift, 12 to 15 October 2026.
What each product line is built to do
Seismic. Seismic's homepage headline is "Move from preparation to GTM performance", with "trusted content, intelligence, and role-based agents everywhere your teams work". Its press release describes the company as bringing together "signals from customer conversations, buyer engagement, governed content, coaching and seller behavior". Its history is content management and governance, with strong use in financial services and other regulated industries, which Tarkoff's post singles out.
Highspot by Seismic. Highspot's homepage calls it "an AI platform for revenue execution". It lists a GTM Agent that "spots gaps in content, training, and plays", a Deal Agent that "works alongside sellers in every active deal, spotting risk, recommending next moves", AI Role Play, and agent coaching that delivers "deal-specific feedback to reps after every call". Its history is content, sales plays and enablement in one experience.
The two lines overlap heavily on content and governance. The combined roadmap decides how much of each survives, which is why the written commitments matter more than the feature grids today.
Side by side
| Seismic | Highspot by Seismic | |
|---|---|---|
| Center of gravity | Governed content and buyer engagement, now with role-based agents | Content, plays and learning in one experience, now with GTM and Deal Agents |
| What its coaching works on | Coaching signals combined with content and seller behavior | Agent feedback after calls, Deal Agent next moves, AI Role Play |
| Where the rep meets it | Content, agents in the flow of work | Content and plays, agents, Role Play |
| Methodology support | Through content and programs you build | Through plays, training and scenarios you build |
| Manager view | Performance insights across content, engagement and behavior | Analytics across content, training and deal signals |
| Status after the merger | The parent company and brand | Continues, with "no migration plans" announced |
| Best fit, on its own site's evidence | Regulated and content-heavy organizations | Teams whose enablement is built around plays and content in one place |
Pricing was not on the pages we read; ask Seismic directly.
Area by area: what to compare
Feature grids from either side will show both lines doing almost everything. These are the areas where the difference shows up in a trial, and what to look at in each.
Content management. Both lines started here. Load the same fifty assets into each and time how long a rep takes to find the right one for a real deal stage, by search and by browsing. Then ask an admin to retire an outdated deck and check whether it disappears everywhere reps can reach it. Search quality and how content gets retired decide daily use more than the size of the library.
Guided selling and plays. Highspot's history is plays: content, guidance and training bundled for a selling moment. Ask each line to build one play for a real launch, and check what a rep sees inside the CRM opportunity on day one.
Coaching and training. Highspot lists AI Role Play and agent feedback after calls; Seismic describes coaching signals combined with content and seller behavior. Ask both to show feedback on one of your recorded calls, in your methodology's terms, and judge it the way your best manager would.
Analytics. Both promise insight across content, engagement and deals. The useful question is narrower: can a manager see which content appeared in deals that closed, and which reps never opened the play? Ask for that report on demo data shaped like yours.
Integrations. List the systems the platform must connect to (CRM, email, calendar, call recorder, the tools where reps write) and ask for each connection to be shown working. Ask which integrations are expected to change as the two product lines come together.
Governance and compliance. Seismic's history is strongest in regulated industries. If compliance review shapes every asset you send, test approval workflows, expiry dates and audit trails on both lines with your compliance team in the room.
Which team should look at which line
A regulated firm whose content passes legal review before it reaches a rep has the most reason to start with Seismic, given where its history and Tarkoff's stated priorities sit. A team that already runs on Highspot plays, with training attached to each play, has the strongest case for staying on its line and getting continuity in writing. A team choosing for the first time should treat the choice as provisional and favor the shorter contract until the roadmap from Seismic Shift turns into dated commitments.
Teams with no content problem at all, whose enablement gap is coaching on live deals, may not need either line. That case is covered at the end of this piece.
Running a side-by-side evaluation during the merger
- Write the job down first. One paragraph: what the platform must change in the pipeline in the first year, and who owns it.
- Ask for one demo per line on your material. The same content, the same play, one recorded call, one live deal.
- Score both on the same sheet. Rep search time, admin effort for a change, feedback quality on the call, and the manager report you need.
- Ask the roadmap question in writing. For each feature you scored, is it available now on that line, and for how long is it committed?
- Price the same scope. Ask both for quotes on the same modules and seat count, with renewal terms.
- Decide on the written answers. Where a demo and a written commitment disagree, the commitment is what you are buying. A slide about where the two lines are heading is a plan; buy what is live on your line today.
What to get in writing
Whether you are renewing a contract on either line or signing a new one, these are the commitments to have in the order form or a side letter, since the roadmap is still being merged.
- Product line continuity
- Migration terms
- Analytics history
- Support and services
- AI features you are paying for
- Price protection
- Product line continuity. Which product line you are buying, how long it will be supported, and the notice period if that changes. Highspot's page says plans "will be clearly communicated"; a date is better.
- Migration terms. If a migration is ever required, who pays for it, and how much notice you get.
- Analytics history. That your engagement data, dashboards and benchmarks move with you, which Highspot's page promises in principle.
- Support and services. Named contacts and escalation routes through the integration.
- AI features you are paying for. Which agent features are live today on your line, and which are roadmap. Ask for a demo on your own content and one of your live deals.
- Price protection. Renewal caps for the length of the contract.
For a structured evaluation, the tests in how to evaluate AI sales coaching software and the trial design in how to run an AI sales coaching pilot apply to either line. One of them matters more as agents start scoring calls: have two managers rank ten recorded calls and compare the platform's order. Expect some disagreement even between your own managers; trained experts in our call-scoring research split on 18% of scores. If conversation intelligence feeds the agent, ask which model scores the call and how often a re-run changes the result.
A renewal decision, worked through (illustrative)
The company and people below are invented.
Kestrelvane Logistics has 120 sellers on Highspot, with a renewal due in five months. Sam, the enablement lead, owns the decision. Marketing loves the plays. Sales leadership is less sure: reps open the platform before big meetings and rarely otherwise, and managers say coaching still happens in the car between calls.
Sam starts by writing the job down: in the next year, the platform must cut the time a new rep takes to find the right material for a first meeting, and give managers one view of which plays show up in deals that close. Coaching on live deals is listed separately, because nobody believes a content platform will fix it.
Sam then asks the account team three things in writing: how long the Highspot line is committed, what happens to two years of engagement analytics if a migration is ever required, and which agent features named on the homepage are live for Kestrelvane's edition today. The answers come back in two weeks. Continuity is confirmed for the contract term. The analytics commitment is in principle, and Sam asks for it in the order form. Two of the agent features are on the roadmap.
The renewal goes through on a shorter term than last time, with the analytics clause and a renewal cap added. Sam prices the agent features as a later decision, once they are live and testable on real deals. The coaching gap goes on a separate line in the plan, with its own owner and its own trial.
Nothing about the decision needed a prediction about the merged roadmap. It needed the job, three written answers and a contract length that matched how much was still uncertain.
Rollout and adoption after you choose
Either line only pays back if reps open it in the moments that matter, and that is decided in the first ninety days more than in the evaluation. A plan that works on both:
- Start with one selling moment. Pick the meeting reps find hardest, such as the first call with a new buyer, and build one play or one content collection for it. A launch that covers every stage at once gives reps nothing they reach for by habit.
- Put it where the rep already is. Check that the content surfaces inside the CRM opportunity and the email client before launch day. A separate tab is the one reps forget.
- Name a manager owner per team. Adoption follows whatever the manager asks about in the weekly one-on-one. If no manager asks which play a rep used, the play goes unused.
- Track three numbers from week one. The share of reps who opened the platform before a buyer meeting, the share of live deals with a play attached, and the content requests that went unanswered because nothing fit.
- Retire before you add. At the thirty-day review, remove what nobody opened. A smaller library that reps trust gets used more than a full one they search past.
At Kestrelvane, Sam would run this on the renewed Highspot contract and report the three numbers at the next renewal, so the next decision starts from usage data.
The job neither content platform was built for
Both product lines were built to get the right content and training to reps, and both now point agents at the deal. The deal itself is still where most quarters are won or lost: what this buyer said, which criteria in your methodology are confirmed, and what the rep asks on the next call. That has always depended on a manager having time for every rep on every deal, and most managers cannot reach every rep on every deal.
Our AI sales experts are built for that job. A rep who has the right deck from Highspot or Seismic still needs someone to ask what the buyer said about it. The rep brings the deal to Caty on a call, by voice or video; she runs your methodology on it, names what is missing and prepares the next conversation. Typing is the fallback. Roleplay on personas from the rep's own pipeline is there too, scored against your rubric. Bryce gives managers the read across the team. It runs alongside whichever content platform you keep.
See Replicate Labs vs Highspot, the AI sales coaching guide for the category, best AI sales coaching software for a wider shortlist, and Replicate Labs vs Hyperbound if roleplay-first tools are on it. For a comparison of Highspot with Mindtickle, see Mindtickle vs Highspot.
A merger renewal is a natural point to ask what the content platform was meant to change in the pipeline. If the honest answer is "less than we hoped", see how Caty works a deal.
FAQ
Did Seismic buy Highspot? Seismic completed a merger with Highspot on 18 August 2026. The combined company operates under the Seismic name and is led by Seismic CEO Rob Tarkoff. Highspot continues as a product line, sold as "Highspot by Seismic". Seismic's merger announcement reports 2,500 customers and 3.5 million users for the combined company.
What happens to Highspot customers after the Seismic merger? Highspot's merger page says nothing changes in how customers use Highspot today, including login, workflows and support, and that there are no migration plans for Highspot by Seismic customers. It says any future plans will be clearly communicated. Customers renewing should get product line continuity, migration terms and data portability in writing.
Should I choose Highspot or Seismic? Both product lines are now sold by one company, so compare them on fit and on written commitments. Seismic's history is governed content and buyer engagement, with strong use in regulated industries. Highspot's is content, plays and learning in one experience. Ask which line the roadmap invests in for the features you need, and test both on your own content and a live deal.
Is Highspot being discontinued? Not according to Highspot's own merger page, read on 31 October 2026, which says there are no migration plans for Highspot by Seismic customers and that both platforms continue to serve customers today. Seismic said it would share its first in-depth roadmap at Seismic Shift in October 2026. Ask for continuity commitments in your contract.
Do Highspot and Seismic offer AI sales coaching? Both offer coaching features: Highspot lists AI Role Play and agent feedback after calls, and Seismic describes coaching signals within its platform. Both are content-led platforms. If your need is coaching each rep on live deals in your methodology, test that directly on a real deal, and consider a dedicated deal coach alongside the platform.
How is Highspot and Seismic pricing set? Neither line published prices on the pages we read, so pricing comes from a quote. Ask for the per-seat price at your size, which modules and agent features are included, what is sold separately, and the renewal cap. If you are already a customer on one line, ask whether moving to the other would be priced as a new contract.