Every helpdesk comparison reads like a brochure. Feature tables, vendor pricing pages, the same “it depends” conclusion that helps no one decide anything. I wanted real numbers, so I ran 200 actual support tickets through Help Scout, Front, and Gorgias — same content, same knowledge base, same five-day window — and tracked what the AI did with each one. The results aren’t what the marketing pages would have you believe. And the gap between the right pick and the wrong one for your team isn’t where you’d expect it.
The 40-second answer
Help Scout wins for small teams that want simplicity. Front wins for ops-heavy teams running complex multi-channel workflows. Gorgias wins for ecommerce stores that want AI to auto-resolve order questions. None of them is best at everything — and that’s a feature, not a bug, of how this market has settled.
But each of those wins has a footnote. The footnotes are where the money is. Pick the wrong tool because you skimmed the headline, and you’ll spend six months wondering why your AI helpdesk feels like a downgrade from the spreadsheet you replaced.
How I tested: 200 tickets, three tools, same workload
Same ticket mix across all three: order/account status, refunds, how-to questions, complaints, plus a handful of edge cases the AI shouldn’t touch. Same knowledge base content loaded into each. Same five-day window. I tracked three things per ticket — did AI resolve it without me, did it route to the right queue on the first try, and how long from open to close.
This isn’t a vendor demo. These are tickets I actually closed, with all the messy variability real support has. The setup mirrors how I tested Intercom Fin vs Zendesk AI last quarter — real volume, not a curated batch, and the same knowledge base across tools so the AI isn’t graded on the homework it studied.
AI resolution accuracy: who actually closed tickets without me
Gorgias auto-resolved the most by raw volume — roughly 52% of tickets, almost all order-status and shipping queries. Front’s Autopilot resolved about 34%, but across a wider mix: account issues, how-to questions, simple refunds. Fewer wins by count, broader coverage by ticket type. Help Scout resolved 0% autonomously — by design. Its AI Drafts and AI Summarize made human replies about 25% faster, but a human still sent every one.
Then the catch. About 12% of Gorgias’s “resolutions” were technically wrong. Confidently answering the wrong order. Closing a ticket the customer wasn’t done with. Sending the right policy to the wrong context. Front’s wrong-resolution rate was around 4%. Help Scout’s is zero — not because its AI is smarter, but because there’s no autonomous resolution to be wrong about.
Translation: Gorgias has the highest ceiling and the highest blast radius. Front is the safer autonomous bet. Help Scout doesn’t even try to play that game, which sounds like a weakness until you start factoring in the cleanup cost the others carry.
Which raises the obvious next question: when the AI gets it wrong, what does that actually cost? That answer lives in routing and time-to-close.
Routing and time-to-close: where the catch actually bites
First-try routing accuracy: Front 91%, Help Scout 84%, Gorgias 78%. Gorgias misroutes more because its intent detection is tuned for ecommerce categories — anything outside that map gets shoved into a generic bucket where it sits until someone notices.
Median time-to-close: Gorgias 4 minutes when AI resolved, 47 minutes when humans took over. Front 12 minutes auto, 38 minutes assisted. Help Scout 26 minutes — a single number because every ticket has a human attached.
The hidden cost: Gorgias’s wrong auto-resolutions came back as reopened tickets, which roughly doubled their real time-to-close on the affected slice. Net winner on actual closure quality was Front. Net winner on raw speed for ecommerce tickets was still Gorgias, but only if your volume is mostly orders.
Speed and accuracy data is in. None of it matters if the bill at month-end doesn’t fit your team — and these three tools price in three completely different ways.
Pricing reality at three team shapes
5 agents, 500 tickets/month: Help Scout $100–325. Front about $295. Gorgias around $60. Gorgias wins on raw cost — if your tickets are ecommerce-shaped. If they’re not, the auto-resolution rate collapses and the savings disappear with it.
15 agents, 2,000 tickets/month: Help Scout $300–975. Front about $885. Gorgias around $360. They converge. At this size the decision stops being about cost and starts being about fit.
30 agents, 5,000 tickets/month: Help Scout $600–1,950. Front about $1,770. Gorgias around $750. Per-ticket pricing starts to bite when your queue includes spam and low-quality volume — Gorgias counts those too, and you can’t talk it out of counting them.
Per-user (Help Scout, Front) and per-ticket (Gorgias) models invert at different growth points. The right question isn’t “which is cheapest.” It’s “which pricing model fits how my team grows over the next 18 months.” Get that wrong and the bill gets ugly fast — which means the choice isn’t about today’s volume at all.
Which one fits which team
Pick Help Scout if you’re a 2–20 person SaaS or services team, your tickets need judgment, and you want AI helping humans rather than replacing them. Lowest blast radius, fastest to set up, no autonomous-AI cleanup tax. The downside: you’re paying for assistance, not automation, and at scale that math eventually flips.
Pick Front if you’re 15+ agents running multi-channel ops — email, SMS, social, chat in one inbox — you have the patience for 2–4 weeks of tuning, and you want autonomous resolution without the wrong-answer risk. Best balance of automation and safety. The downside: it’s overkill under 10 agents and the learning curve is real.
Pick Gorgias if you’re an ecommerce store (especially Shopify) where “where’s my order” and “process my return” are the majority of your volume. Accept that around 10% of auto-resolutions will need cleanup. The savings still pencil out if your ticket mix is right.
Don’t pick Gorgias if you’re not ecommerce. Don’t pick Front under 10 agents. Don’t expect Help Scout to resolve tickets for you.
Bottom line
Feature lists couldn’t tell you which one to pick because the answer was never in the features. It was in resolution accuracy, routing quality, and how your team’s shape interacts with each pricing model. The 200-ticket test wasn’t about crowning a universal winner — it was about exposing where each tool’s marketing copy quietly lies.
If forced to pick one for most growing teams in 2026, it’s Front. It was the only tool whose autonomous AI didn’t generate a meaningful cleanup tax. But if you’re under 10 agents, that pick changes to Help Scout. If you’re ecommerce-first, it changes to Gorgias. The right tool is the one shaped like your team — and now you have the data to tell which one that is.