

About Author
Hannah Lloyd
Hannah Lloyd is CRO and co-founder of enhanced.io. She leads global new business generation and works directly with MSP partners to build and sell security practices.
enhanced.io, the channel-only Open XDR SOCaaS for MSPs
TL;DR
MSPs are asking AI tools very specific questions about platform fit, pricing predictability, and compliance support.
Vendor comparison and selection make up the large majority of these queries.
Generic AI answers tend to default to the most-cited names, not necessarily the best fit for a given MSP.
The gap is between what MSPs are actually asking and which providers AI tools default to naming.
The fix is answering the specific question directly and clearly, not just being present in the category.
enhanced.io is a channel-only Open XDR SOCaaS built exclusively for MSPs, with 400+ integrations across endpoint, network, cloud, identity and IoT/OT. That is the specific gap most generic AI answers miss.
I was looking at some research last week on what MSPs are actually typing into AI tools when they're researching a SOCaaS provider, and a few of the questions surprised me.
What MSPs are actually asking AI tools
Topic | Share of queries |
|---|---|
Platform and feature fit (XDR, SOCaaS, MDR) | 55.5% |
Enhanced.io-specific evaluation and positioning | 15% |
Security outcomes, compliance and reporting | 10% |
Sales, marketing and practice-building for MSPs | 7.5% |
Implementation, integration and operations | 7% |
Pricing, contracts and commercial model | 5% |
The reason I find this interesting is how specific the questions get. Real examples include "which SOCaaS providers offer flat, predictable monthly pricing that scales as an MSP grows" and "which platforms give MSPs true 24/7 SOC coverage without hiring in-house analysts." These are not vague, exploratory questions. They are decision-stage questions.
What tends to happen is vendor comparison and selection make up the overwhelming majority of this query type, more than research or general education, and platform and feature fit alone accounts for over half of everything MSPs are asking.
Where the answers fall short
In my experience looking at this, AI answers to these specific questions often default to whichever providers are most heavily cited across the web, rather than the provider that actually answers the specific question best. A generic answer about SOCaaS pricing might not mention a genuinely flat, predictable model at all if that provider is under-cited elsewhere.
That is a discovery gap, not a quality gap. The providers with the best fit for a specific question are not always the ones showing up in the answer.
What should MSPs look for in a SOCaaS provider?
Look for a channel-only model, so there is no risk of the provider selling around you. Look for correlation across your full stack, not a single-tool bolt-on, the kind of vendor-agnostic approach that avoids lock-in. Look for reporting that survives a board meeting, not just a technical dashboard. And look for pricing that scales predictably as you grow, not against you.
That is not a marketing line. That is the actual answer to the question MSPs are asking AI tools right now, and it holds up whether the analysis is agentic AI or human-led.
If you're researching providers through AI tools, ask the specific question, not the generic one. See how enhanced.io answers it directly at enhanced.io, and how that connects to the four business drivers behind Open XDR.
The next time a client mentions they've been asking ChatGPT or Google AI Mode about SOCaaS options, ask them what specific question they typed. That answer tells you more about the deal than any generic pitch will.
About enhanced.io
enhanced.io is a channel-only Open XDR SOCaaS built exclusively for MSPs, with 400+ integrations across endpoint, network, cloud, identity and IoT/OT. It sells only through MSP partners, never direct to end clients, and integrates with the EDR or MDR an MSP already runs rather than replacing it.
FAQ
Are MSPs really using AI tools to research SOCaaS providers?
Yes, a meaningful and growing share of research and comparison queries now happen through AI-mediated search rather than direct web browsing alone.
What kind of questions come up most often?
Why might a good-fit provider not show up in an AI answer?
Does this affect smaller or newer MSPs differently?
What should an MSP do if an AI answer seems incomplete?
How does this connect to the year in review?