G2

Denis S.

Founder

Media Production

Small-Business (50 or fewer emp.)

9/14/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Flexible funnels plus MCP that works with real data"

5/5

What do you like best about AXL — AI-native sales & marketing all-in-one OS with MCP?

Before AXL we were paying for three tools: a CRM, a cold outreach platform, and a separate analytics stack. Data was reconciled by hand in spreadsheets, and checking where a single lead stood meant opening three tabs. AXL replaced all three — leads, segments, email sequences, and reporting live in one AI-native sales and marketing platform, with the full touch history visible on each contact.

The MCP support is what sets it apart. I connected Hermes, and the AI works against our actual data instead of whatever I paste into a prompt. A request like "pull the accounts that opened but didn't reply in 10 days and draft a follow-up" runs in under a minute — that used to be CSV exports and manual cross-checking.

Setup and migration took a single session, no support tickets and no formal onboarding: exported contacts from our old CRM to CSV, imported, fields mapped correctly on the first pass. The team was running campaigns the same day. Review collected by and hosted on G2.com.

What do you dislike about AXL — AI-native sales & marketing all-in-one OS with MCP?

The main pain point is email deliverability. Sending domains drop out periodically, and you don't find out right away — the campaign keeps running while part of the mail stops landing. I've had to monitor this manually and verify deliverability myself. I'd want clear alerts when a domain breaks, plus better diagnostics: right now when sending fails it isn't obvious whether the issue is authentication, warm-up, or sender reputation. Review collected by and hosted on G2.com.

What problems is AXL — AI-native sales & marketing all-in-one OS with MCP solving and how is that benefiting you?

The main thing AXL solved is funnel flexibility. Previously any change meant going through a technical person — adjusting stage transition rules, adding a branch, or wiring in a new lead source was a ticket and several days of waiting. Because of that, hypotheses simply went untested: leaving things as they were beat budgeting a week for an experiment.

Now I build and rework the funnel myself. A new setup can go live in an evening, run for a couple of weeks, and then be kept or rolled back based on the numbers — no developers, no risk of breaking something. We test far more variations as a result, and decisions come from data rather than instinct.

The fragmented stack problem went away alongside it: leads, conversations, and reporting sit in one place instead of three subscriptions, and nothing falls through the gaps anymore. Review collected by and hosted on G2.com.