Drift vs Intercom for B2B sales conversations (2026)

Most people who search "Drift vs Intercom" expect to compare two live chat tools. That comparison no longer exists. On March 5, 2026, Clari + Salesloft announced the gradual sunset of Drift and named 1mind as the successor it will refer Drift customers to. Intercom, meanwhile, has extended its AI agent, Fin, to inbound sales. So the useful question isn't which logo to pick. It's which job you need a conversation on your website to do.

I think website chat does one of three jobs: it routes, it resolves, or it sells. Drift was built to route. Intercom is built to resolve, and is now adding selling. The job most B2B websites are short of is the third one, and the data below shows why. I run marketing at Storylane, which sells RepX, an AI website agent built for that third job, so weigh the later sections with that in mind.

Drift vs Intercom at a glance

Facts below come from each vendor's own website, checked on October 30, 2026.

Is Drift still available in 2026?

Not as a product you can choose. Drift.com now redirects to a Salesloft page that says, in its own words, "We've transitioned from Drift to 1mind." The Clari + Salesloft announcement of March 5, 2026 describes a "gradual sunset" of the Drift conversational marketing product, and an exclusive agreement under which Salesloft will refer existing Drift customers to 1mind. I couldn't find a published end date on Salesloft's site, so if you are a Drift customer, ask your account team for yours.

The interesting part is the reason Salesloft gives. The announcement talks about moving customers "past legacy chat tools." That is the vendor itself saying the router model has run its course. Salesloft's own page still describes what chat agents do in router terms: ask preset questions, capture key data, route high-intent visitors to sales reps.

If you are planning a move off Drift, the Drift migration playbook covers what to inventory before you switch.

What does Intercom do for B2B sales conversations?

More than it used to. Intercom's pricing page still calls the product an "AI-first customer service platform," and its plans are described for support teams. But fin.ai/sales now presents Fin for Sales, which "handles inbound sales end to end": it asks qualifying questions against criteria you set, disqualifies or redirects poor fits, routes qualified leads to a rep, a trial or a self-serve flow, and books meetings through Calendly or Chili Piper. Intercom lists Salesforce, HubSpot, Marketo and Chili Piper among the tools it works with.

The pricing reflects that split. As of October 30, 2026, Intercom's pricing page lists:

• Seats: Essential $29, Advanced $99 and Expert $139 per seat per month on monthly billing, lower on annual billing.
• Fin outcomes: from $0.99 each. A resolution, a handoff procedure, or a disqualified lead each count as one outcome.
• Fin qualifications: $9.99 each, charged when Fin qualifies a lead to your criteria and routes it to sales.
• Fin on another helpdesk: no seat costs, with a minimum monthly commitment (Intercom gives 50 outcomes as an example).

Intercom's own FAQ is also clear about one boundary: Fin doesn't currently send automated email follow-up sequences after qualification, so nurture stays in your existing workflows. For a broader look at the field, see these Intercom Fin alternatives for B2B sales teams.

Router, resolver, seller: which job does your website need?

A router works out who the visitor is and sends them somewhere: a calendar, a form, a rep. It is fast and cheap, and it works well for a visitor who already knows what they want.

A resolver answers a question and closes the conversation. It is built for customers who already bought and need help, and it is trained on the help center. Intercom's per-outcome pricing makes this plain: you pay when the issue is resolved.

A seller handles the visitor who is still deciding. It answers the question they came with, shows the part of the product that matters to them, works out whether they fit, and only then asks for the meeting.

The three get mixed up because they share a widget. They shouldn't be bought the same way. A router is judged on speed to a rep, a resolver on tickets closed, a seller on qualified meetings. I made the same split for HubSpot's bots in HubSpot chatbot vs an AI sales agent, and it holds here too.

What do B2B buyers ask before they talk to sales?

This is where the choice gets real, because the seller job depends on what buyers actually ask. The Storylane Buyability Index generated 10,580 buyer questions for 529 B2B websites and checked whether each site answers them. Two caveats apply to every number from it: the questions are generated per company (what a buyer would plausibly ask), not logged from real buyers, and the sites were chosen by the people who ran the scans, between September 8 and October 20, 2026.

Three findings matter for this decision.

1. Pricing, ROI and implementation questions make up 36% of what buyers ask, and websites fully answer them 48% of the time. That is 3,815 of the 10,580 questions, with 1,820 fully answered. These are the questions a router can't answer and a visitor won't wait a day for.
2. The help center carries only part of the load. Of the 5,711 full answers to non-support buying questions, 24% came from the help center, FAQ or developer docs. The rest sat in the blog, trust and security pages, case studies, pricing pages and elsewhere. A resolver trained mainly on support content starts with about a quarter of the material a buyer needs.
3. Sites rarely send buyers to sales on purpose. Only 1% of questions ended in a "talk to sales" deflection, but another 33% got only a partial answer. The gap is not gating. It is half-answers.

I have a theory for why this matters more now. The obvious explanation for half-answered pricing and implementation questions is that companies hide them to force a call. The deflection number says otherwise: hardly anyone gates on purpose. I think the answers simply live in sales material (call recordings, decks, scoping notes) that never made it to the website. A router can't reach that material, and a resolver trained on support content wasn't built to. That is what I call the selling gap: the distance between what a buyer asks before a call and what your website can answer without one.

Where does an AI sales agent like RepX fit?

RepX is built for the seller job. According to storylane.io/repx, it is trained on your website, docs, sales decks, call scripts, call recordings and interactive demos, so it can answer from the sales material that never reached the site. It runs discovery, qualifies on criteria you write in plain English, answers with interactive product demos rather than links, and works over text, voice and video. Playbooks let each page behave differently, so the pricing page can book an AE while the docs page books support. Qualified leads and conversation summaries flow to HubSpot, Salesforce and Slack.

RepX is best for B2B teams whose inbound traffic is mostly people still evaluating: buyers comparing vendors, checking implementation effort, or trying to justify a price internally. If you are replacing a router, replacing your chatbot with an AI sales agent walks through what changes in practice.

Which should you pick?

Stay on the Salesloft path if you are an existing Drift customer, your reps live in Salesloft Cadences and Rhythm, and you use Clari for forecasting. Salesloft says signals from 1mind flow into its system, which keeps your stack in one place.

Pick Intercom if you already run customer support on Intercom and want one AI agent across service and sales, with per-outcome and per-qualification pricing. Fin for Sales is a real sales motion, and keeping support and sales in one inbox has value. For how it compares with a meeting-booking tool, see Chili Piper Chat vs Intercom.

Pick RepX if your website's main job is converting buyers who are still deciding, your best answers live in sales material rather than the help center, and you want the agent to show the product, not just describe it.

What to do on Monday

Pull the last 50 questions your website chat received, or, if you have none, the first questions from your last 20 discovery calls. Mark each one route, resolve or sell. Whichever pile is largest tells you which tool to buy. In most B2B companies I expect the sell pile to win, because the Buyability numbers point there: the questions buyers ask most before a call are the ones websites answer least.

If your sell pile is the big one, book a RepX demo and ask it your own hardest pricing question.