---
title: "How MDR and managed SOC providers win leads from AI search"
description: "By being named, with defined response metrics and independent proof, when stretched IT and security leaders ask AI which MDR or managed SOC fits them."
canonical: "https://underneath.agency/resources/mdr-providers-qualified-leads-ai-search"
published: 2026-10-07
updated: 2026-10-08
publisher: "Underneath (https://underneath.agency/agent)"
entity: "https://underneath.agency/.well-known/entity.json"
---
Guide · AI search

# How can MDR and managed SOC providers win qualified leads from AI search?

By being named, with defined response metrics and independent proof, when stretched IT and security leaders ask an AI assistant which managed detection and response (MDR) or managed SOC service fits their size, tools and insurer. A managed service is bought on trust in people you cannot see, so the buyer checks hard before calling. The AI answer can do part of that qualifying before the first call, though no study has yet measured how often MDR buyers use it.

## The short version

1. Many organizations cannot staff security operations themselves: in [ISC2’s 2025 study](https://www.isc2.org/Insights/2025/12/2025-ISC2-Cybersecurity-Workforce-Study) of 16,029 professionals, 33% said they lack the budget to staff their teams adequately, and 19% bring in third-party service providers to fill skills gaps.
2. Contract sizes span a wide range: [Vendr’s purchase data](https://www.vendr.com/marketplace/huntress) put the median Huntress buyer at $11,000 a year, [Red Canary](https://www.vendr.com/marketplace/red-canary) at $79,881 and [eSentire](https://www.vendr.com/marketplace/esentire) at $120,813. Qualification by size matters.
3. Incidents drive demand: in a 2026 survey of 1,350 security and IT decision-makers for [Arctic Wolf](https://arcticwolf.com/resources/press-releases/arctic-wolf-2026-trends-report-reveals-ai-trust-gap-as-organizations-race-to-modernize-security-operations-for-the-age-of-ai/), 63% reported a significant incident in the past year, and 48% of those affected lost productivity for two weeks or longer.
4. Insurers are in the loop: [Marsh](https://www.marsh.com/en-gb/about/media/incident-response-planning-emerges-key-cybersecurity-control-reducing-cyber-risk.html) found each 25% increase in endpoint detection and response coverage went with a 10% lower likelihood of a breach.
5. AI assistants research this category through analyst reports. In our hidden-searches study, ChatGPT ran the search “Gartner Magic Quadrant 2024 managed detection and response” while answering a buyer question.

## Who buys MDR and managed SOC services, and what is a contract worth?

Mostly mid-market IT leaders without a full SOC, enterprise CISOs extending their own, and MSPs serving small clients.

The terms overlap, so buyers often ask an assistant to explain them first. MDR is a service in which a provider’s analysts watch an organization’s security tools around the clock and act on threats, often by isolating a device or disabling an account. A managed SOC, or SOC as a service, usually runs a fuller security operations function, often around the customer’s own SIEM, the system that collects security logs. A managed security service provider (MSSP) may manage devices and alerts with less hands-on response.

Three buyer types stand out:

- **Mid-market organizations** with a small IT team and no one watching alerts at night.
- **Enterprises** with a SOC that need round-the-clock coverage, specialist threat hunting or relief for overloaded analysts. SIEM vendors court the same SOC leaders; see [how SIEM vendors reach enterprise shortlists](https://underneath.agency/resources/siem-enterprise-pipeline-ai-search).
- **Managed service providers (MSPs)** that resell or bundle MDR for many small clients. They face their own AI shortlist, covered in [how MSPs win clients from AI search](https://underneath.agency/resources/msps-customers-from-ai-search).

The staffing gap is the root of demand. ISC2’s 2025 study found 29% of organizations cannot afford to hire staff with the skills they need. To fill gaps, 20% outsource work and 19% bring in third-party providers. 72% agreed that reducing cybersecurity personnel significantly increases breach risk.

Contract values follow the buyer type. Vendr’s medians, from purchases on one procurement platform:

| Provider | Median annual spend | Range shown by Vendr |
|---|---|---|
| Huntress | $11,000 | $6,768 to $39,372 |
| Red Canary | $79,881 | $26,980 to $154,687 |
| eSentire | $120,813 | $37,539 to $232,789 |

The wider services market is large. Gartner forecasts worldwide spending on security services, a category that includes consulting and other services as well as managed ones, at $92,780 million in 2026, up from $77,130 million in 2024, as reported by [CRN Asia](https://www.crnasia.com/india/news-network/news/gartner-forecasts-worldwide-end-user-spending-on-information-security-to-total-213-bn-in-2025).

## Why do companies outsource security operations now?

Because incidents keep happening, detection is slow without round-the-clock eyes, and insurers reward strong controls.

**Incidents.** Arctic Wolf’s survey found 63% of organizations had a significant incident in the past year, while 96% of leaders said they were confident their teams could keep pace. Arctic Wolf sells MDR, so read its survey as one input. Its [2026 threat report](https://arcticwolf.com/resources/press-releases/arctic-wolf-threat-report-highlights-11x-growth-in-data-extortion-incidents-and-continued-dominance-of-ransomware/) found ransomware, business email compromise and data incidents made up 92% of its incident response cases.

**Slow detection is expensive.** A breach took 241 days on average to identify and contain, according to [IBM’s 2025 breach report](https://newsroom.ibm.com/2025-07-30-ibm-report-13-of-organizations-reported-breaches-of-ai-models-or-applications,-97-of-which-reported-lacking-proper-ai-access-controls). Where an organization’s own team caught the intrusion, it saved $900,000 compared with learning of it from the attacker, the gap round-the-clock MDR monitoring is pitched against.

**Insurance.** Marsh’s analysis of claims ranked endpoint detection and response, and logging and monitoring, among the controls most linked to fewer breach-based claims. [Coalition](https://www.coalitioninc.com/announcements/2025-cyber-claims-report), an insurer that also sells security services, traced 60% of its 2024 claims to business email compromise and funds transfer fraud. MDR providers court this channel: [Arctic Wolf](https://arcticwolf.com/company/) runs an insurance partner program for brokers and carriers and says its service can “increase the likelihood of insurability.”

## Where does AI search enter the MDR buying journey?

At the research step, where a buyer narrows dozens of providers to a few, then checks them with people.

Gartner’s 2026 survey of 645 B2B buyers, across industries, describes the pattern. 45% used generative AI in a recent purchase, mainly to gather information on vendors and products. [69% prefer to validate AI-generated insights with sales reps](https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights). For a service bought on trust, we infer that validation happens in scoping calls, reference checks and trials.

There is direct evidence that assistants research this category through analyst reports. In [our hidden-searches study](https://underneath.agency/research/ai-hidden-searches-study), one of ChatGPT’s own searches was “Gartner Magic Quadrant 2024 managed detection and response.” ChatGPT ran a search aimed at a named publication, ranking or award in 43.8% of its answers. Analyst market guides, peer reviews and independent rankings are part of what assistants look for, we observe.

## Which questions do MDR and managed SOC buyers ask AI assistants?

Questions about fit, service model, response speed, tools, location and insurance. We drafted the prompts below to mirror how an IT director or CISO might ask; they are examples, not recorded buyer queries.

| Buyer | Illustrative prompt |
|---|---|
| Mid-market, first purchase | “What is the best MDR service for a 400-person manufacturer with two IT staff?” |
| Service model | “MDR, MSSP or SOC as a service: what is the difference and which do I need?” |
| Existing tools | “Which MDR providers work with Microsoft Defender and CrowdStrike, rather than their own agent?” |
| Speed | “Which MDR providers publish their mean time to respond, and how do they define it?” |
| Location | “MDR providers in Germany with an EU-based SOC and German-speaking analysts?” |
| Insurance | “Will my cyber insurer give a better rate if we use MDR?” |
| Enterprise | “Managed SOC to run our Splunk SIEM overnight and on weekends?” |
| MSP | “Best MDR to resell to 60 small business clients?” |

Location questions deserve special care. In [our country study](https://underneath.agency/research/ai-recommendations-by-country-study), naming the United Kingdom in the question raised the share of local-market brands in ChatGPT’s answers from 25.4% to 49.1%. In [our four-assistant study](https://underneath.agency/research/ai-assistants-brand-agreement-study), questions naming a place had far less agreement between assistants, an overlap of 0.160 against 0.390 for national questions. Regional providers may be named for local questions and missing from national ones, we infer.

## How does AI visibility become a qualified MDR lead?

When the AI answer has matched the provider to the buyer’s size, tools and region, the first call starts qualified.

A qualified MDR lead, in practice, has four facts in place: a size that fits the provider, compatible security tools, a budget in the provider’s range and a reason to buy now. The path, as we understand it:

1. **Trigger.** An incident, an insurance renewal, an analyst resignation or a board question.
2. **AI-assisted short list.** The buyer describes their situation, and the assistant names a few providers with reasons.
3. **Validation.** The buyer reads the providers’ sites, reviews and analyst mentions, then books scoping calls.
4. **Scoping and proposal.** Endpoints, identities, cloud accounts and log sources set the price.
5. **Contract and expansion.** An annual or multi-year agreement, often extended to incident response retainers or more coverage.

A specific question produces a pre-qualified buyer, we expect. A buyer who asked for a provider that supports their existing tools in their region has already filtered for fit. A vague or wrong description in the answer does the opposite, sending poorly matched buyers or none. The click itself is rarely visible in analytics; see [what lost clicks mean for pipeline](https://underneath.agency/resources/ai-answers-pipeline-revenue).

## Why does an assistant recommend one MDR service over another?

No platform documents how it picks providers; studies point to analyst reports and reviews, and buyers want verifiable proof.

**Documented by the platforms.** A question about overnight monitoring can set off several searches at once: Google says AI Overviews and AI Mode [may use a “query fan-out” technique](https://developers.google.com/search/docs/appearance/ai-features). None of the platforms explains how a managed security provider ends up named.

**Observed in our studies.** Besides the analyst-report searches above, [our reputation study](https://underneath.agency/research/is-it-legit-ai-reputation-study) found 88.0% of answers to “Is this brand legit?” cited a review or complaint platform. Ask ChatGPT the same question five times and the names move: in [our consistency study](https://underneath.agency/research/ai-recommendation-consistency-study), just 25.2% of the brands it gave appeared in every run.

**What service buyers check.** Providers already compete on public service claims. [eSentire](https://www.esentire.com/what-we-do/managed-detection-and-response) advertises a “15-minute Mean Time to Contain” and says it protects more than 2,000 organizations. Arctic Wolf says its platform serves over 10,000 organizations. [Huntress](https://www.huntress.com/about) stresses its round-the-clock SOC. Such claims are measured in different ways, so buyers, and assistants, cannot compare them easily.

**Our inference.** A reasonable expectation is that providers whose metrics are defined, whose supported tools are listed and whose reviews and analyst mentions are current give assistants more to repeat accurately. No one has yet tested that idea on managed detection providers.

## What happens to an MDR provider that assistants leave out?

Mostly it loses first calls in a consolidating market, though no study has sized that loss for managed security.

- **Consolidation reshapes the list.** Red Canary’s product page now says [“Red Canary is now part of Zscaler.”](https://redcanary.com/products/managed-detection-and-response/) As product companies absorb services, buyers ask whether to choose an independent provider or one tied to a tool, we infer. Independents must be visible in that comparison.
- **Contracts recur.** With medians from $11,000 to $120,813 a year on Vendr’s data, plus renewals and expansion, each missed buyer is years of revenue.
- **Presence is partial.** A provider named in some runs and not others loses some buyers without knowing.
- **Wrong facts mislead.** An assistant that says a provider requires its own agent, or lacks a regional SOC, filters out buyers who would have fit. To correct an agent or SOC-location error, start with [how to fix wrong brand information in AI answers](https://underneath.agency/resources/fix-wrong-brand-information-in-ai-answers).

## How does GEO work for an MDR or managed SOC provider?

It puts your coverage hours, response metrics and supported tools where assistants and buyers can check them. Nobody can promise a recommendation.

1. **Define the service precisely.** Say whether you offer MDR, a managed SOC, MSSP services or several, and what each includes: hours, response actions, threat hunting, incident response. Buyers who need testing rather than monitoring ask differently, as [how penetration testing firms win scoped leads](https://underneath.agency/resources/pentest-firms-leads-ai-search) shows.
2. **Publish metrics with definitions.** If you cite response or containment times, define when the clock starts and stops, and how often you meet it.
3. **List supported tools and scope.** Endpoint, identity, cloud and SIEM integrations, plus how you price (endpoints, users, data).
4. **Show who stands behind the service.** Analyst team size, locations, certifications such as SOC 2, and data residency for each region.
5. **Earn independent proof.** Analyst market guides, peer review platforms and published threat research that the security press cites. See [how brands build authority for AI search](https://underneath.agency/resources/how-brands-build-authority-for-ai-search) and [how small brands get recommended by AI](https://underneath.agency/resources/how-small-brands-get-recommended-by-ai).
6. **Serve each buyer and region.** Separate pages for mid-market, enterprise and MSP buyers, and for each country you serve, in its language; see [GEO for global brands across languages](https://underneath.agency/resources/geo-strategy-for-global-brands-across-languages).
7. **Measure with real constraints.** Test size, tool, region and insurance wording across ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Copilot and Claude, several runs each.

## Which questions about AI and managed detection buying remain open?

Two big ones: how many MDR buyers use assistants, and whether being named leads to signed contracts. No published study answers either.

- **No survey of managed security buyers.** Gartner’s AI-use figures describe B2B purchases across industries, not MDR selections.
- **Providers fund much of the data.** Arctic Wolf’s surveys, eSentire’s metrics and Coalition’s claims data come from companies that sell services.
- **Vendr is a sample.** Its medians reflect purchases on one platform.
- **Lead quality is unmeasured.** In [Martinez’s](https://arxiv.org/abs/2607.14035) review of 45 studies of AI search optimization, traffic and conversions had the weakest evidence, so nobody can yet say AI visibility yields qualified MDR leads.

## How can an MDR provider test whether assistants send it qualified buyers?

Ask assistants what your best-fit buyers would ask, including their size, tools and region, and note who is named.

Write 20 to 30 prompts for your three buyer types, each with tool, region, insurance and response-time wording. Put every prompt to each major assistant more than once, since a managed security shortlist can change between runs. Record who is named, which analyst reports and review sites are cited, and whether your service model, supported tools and regions are described correctly. Providers competing for a broader security budget can compare notes with [how cybersecurity software firms earn revenue from AI search](https://underneath.agency/resources/cybersecurity-software-revenue-from-ai-search). Providers that also sell staff phishing training can use [security awareness training in AI answers](https://underneath.agency/resources/security-awareness-training-customers-ai-search).

For an outside read on which of those questions you win, [talk to us about an MDR lead audit](https://underneath.agency/contact). We will show which buyer questions name you, which send qualified buyers to competitors, and which gaps in your public service proof are most likely costing you scoping calls and contracts. Our [generative engine optimization service](https://underneath.agency/services/generative-engine-optimization) page describes the work that follows, such as defining response metrics, listing supported tools and testing buyer questions over time.

## Frequently asked questions

### Do mid-market companies use AI to choose an MDR provider?

No study isolates them. Across B2B purchases, 45% of buyers in Gartner’s 2026 survey used generative AI, mainly to research vendors and products.

### Should we publish our response times?

Yes, with definitions. Providers already advertise figures such as a 15-minute mean time to contain, and undefined numbers are hard for buyers or assistants to compare.

### Does analyst recognition matter for AI visibility?

It appears to. In our hidden-searches study, 43.8% of ChatGPT’s answers involved a search for a named ranking, and one such search targeted the Gartner Magic Quadrant for MDR.

### Should regional MDR providers target local questions?

Yes. Naming the United Kingdom raised local-market brands in ChatGPT’s answers from 25.4% to 49.1% in our country study.

### Is MDR the same as a managed SOC?

Not quite. MDR focuses on detecting and acting on threats; a managed SOC usually runs a fuller operations function, often around your own SIEM.

## Sources

- ISC2 (2025-12), [2025 ISC2 Cybersecurity Workforce Study](https://www.isc2.org/Insights/2025/12/2025-ISC2-Cybersecurity-Workforce-Study)
- Vendr (2026), [Huntress software pricing and plans](https://www.vendr.com/marketplace/huntress)
- Vendr (2026), [Red Canary software pricing and plans](https://www.vendr.com/marketplace/red-canary)
- Vendr (2026), [eSentire software pricing and plans](https://www.vendr.com/marketplace/esentire)
- Arctic Wolf (2026-07-28), [Arctic Wolf 2026 Trends Report reveals AI trust gap](https://arcticwolf.com/resources/press-releases/arctic-wolf-2026-trends-report-reveals-ai-trust-gap-as-organizations-race-to-modernize-security-operations-for-the-age-of-ai/)
- Arctic Wolf (2026-02-17), [Arctic Wolf Threat Report highlights 11x growth in data extortion incidents](https://arcticwolf.com/resources/press-releases/arctic-wolf-threat-report-highlights-11x-growth-in-data-extortion-incidents-and-continued-dominance-of-ransomware/)
- Arctic Wolf (2026), [Company](https://arcticwolf.com/company/)
- Marsh (2025-08-27), [Incident response planning emerges as key cybersecurity control in reducing cyber risk](https://www.marsh.com/en-gb/about/media/incident-response-planning-emerges-key-cybersecurity-control-reducing-cyber-risk.html)
- Coalition (2025-05-07), [Coalition 2025 Cyber Claims Report](https://www.coalitioninc.com/announcements/2025-cyber-claims-report)
- IBM (2025-07-30), [IBM report: 13% of organizations reported breaches of AI models or applications](https://newsroom.ibm.com/2025-07-30-ibm-report-13-of-organizations-reported-breaches-of-ai-models-or-applications,-97-of-which-reported-lacking-proper-ai-access-controls)
- Gartner, via CRN Asia (2025-07-29), [Gartner forecasts worldwide end-user spending on information security to total $213 bn in 2025](https://www.crnasia.com/india/news-network/news/gartner-forecasts-worldwide-end-user-spending-on-information-security-to-total-213-bn-in-2025)
- Gartner (2026-05-20), [Gartner survey finds 69% of B2B buyers turn to sales reps to validate AI-generated insights](https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights)
- eSentire (2026), [Managed detection and response](https://www.esentire.com/what-we-do/managed-detection-and-response)
- Zscaler (Red Canary) (2026), [Zscaler Managed Detection & Response](https://redcanary.com/products/managed-detection-and-response/)
- Huntress (2026), [About Huntress](https://www.huntress.com/about)
- Google Search Central (2025), [AI features and your website](https://developers.google.com/search/docs/appearance/ai-features)
- Martinez (2026), [Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026)](https://arxiv.org/abs/2607.14035), arXiv:2607.14035.
- Underneath (2026), [The hidden searches AI assistants run before they answer](https://underneath.agency/research/ai-hidden-searches-study)
- Underneath (2026), [Same question, four countries: do AI recommendations change?](https://underneath.agency/research/ai-recommendations-by-country-study)
- Underneath (2026), [Do ChatGPT, Gemini, Perplexity and Claude agree on brands?](https://underneath.agency/research/ai-assistants-brand-agreement-study)
- Underneath (2026), [“Is this brand legit?” How AI assistants build a reputation](https://underneath.agency/research/is-it-legit-ai-reputation-study)
- Underneath (2026), [Ask an AI the same question 5 times: do the brands change?](https://underneath.agency/research/ai-recommendation-consistency-study)

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