Monitoring Strategy & Best Practices

A guide to allocating monitors strategically, sustaining momentum, and avoiding the most common mistakes. For step-by-step monitor setup, see Monitor Groups.

The Five Monitor Types

Every effective monitor falls into one of five types. A balanced programme covers all five.

1. Brand Monitors

Track how AI surfaces describe your company directly.

What to include: Your company name, common misspellings, "[brand] reviews," "[brand] pricing," "[brand] vs [main competitor]."

B2B SaaS example (Acme Auth):

• "What is Acme Auth?"
• "Acme Auth reviews and pricing"
• "Is Acme Auth SOC 2 compliant?"
• "Acme Auth vs Auth0 vs Okta"
• "Does Acme Auth support SAML SSO?"

Cybersecurity example (SecureEDR):

• "What does SecureEDR do?"
• "SecureEDR customer reviews"
• "Is SecureEDR FedRAMP authorized?"
• "SecureEDR pricing for mid-market"
• "SecureEDR vs CrowdStrike"

Frequency: Daily. If AI surfaces start describing you inaccurately or stop mentioning you, you want to know within 24 hours.

How many: 4–6 monitors covering awareness, reviews/trust, pricing, compliance, and your top 1–2 use cases.

2. Competitor Monitors

Capture buyers who are actively evaluating your competitors. This is where switcher intent lives.

What to include: "[competitor] alternatives," "tools like [competitor]," "[competitor] vs [you]," "[competitor] pricing."

Observability example:

• "Datadog alternatives for mid-market SaaS"
• "Cheaper alternatives to Datadog"
• "Tools like Datadog with better Kubernetes support"
• "Datadog vs New Relic vs [your-product]"

SIEM example:

• "Splunk alternatives for cloud-native environments"
• "Cheaper alternatives to Splunk Enterprise Security"
• "Splunk vs Sentinel vs Elastic for SOC teams"

How many: 8–12 monitors - one per major competitor, plus a multi-way comparison monitor tracking broad category queries like "best SIEM tools 2026."

3. Category Monitors

Track the broad listicle and "best of" queries that drive most AI-generated recommendations.

What to include: "Best [category] tools," "top [category] platforms," "most affordable [category] software," "[category] for [vertical]."

CRM example:

• "Best CRM software for B2B SaaS startups"
• "Top CRM platforms for sales-led companies"
• "Most affordable CRM with HubSpot-level features"

Vulnerability management example:

• "Best vulnerability management tools 2026"
• "Top vulnerability scanners for cloud workloads"
• "Best CNAPP platforms for AWS-heavy environments"

How many: 5–8 monitors covering your category from different angles - by use case, price tier, company size, and buyer role.

4. Vertical / Niche Monitors

Capture the specific industry or specialisation where you have the strongest right to win.

Healthcare SaaS example:

• "Best CRM for HIPAA-compliant healthcare startups"
• "HITRUST-certified marketing automation tools"
• "Healthcare SaaS platforms with EHR integrations"

Financial services cybersecurity example:

• "Best EDR for FFIEC compliance"
• "Tools for PCI DSS continuous monitoring"
• "SOC 2 and SOX compliance automation tools"

How many: 3–5 monitors per major vertical or specialisation.

5. Problem-Aware Monitors

Capture top-of-funnel buyers who haven't yet learned the category language. They're describing a symptom, not searching for a tool.

What to include: "How to [solve problem]," "why is [thing] happening," "[pain point] for [persona]."

B2B analytics example:

• "Why is my SaaS churn rate increasing?"
• "How to identify which features drive retention"
• "How to measure PMF in early-stage SaaS"

Cybersecurity example:

• "How to detect ransomware before it spreads"
• "How to prepare for SOC 2 Type II audit"
• "What to do after a phishing attack"

How many: 4–6 monitors covering the most common pain points your product solves.

Monitor Allocation

A starting allocation for a 30-monitor budget:

On a smaller plan, scale down proportionally but keep the spread. A 10-monitor plan should still touch all five types.

Setup Guidelines

Monitor Name

Use a structured naming convention:

[Type]-[Theme]-[Specifier]

Examples: Brand-Core-Awareness, Comp-Datadog-Alternatives, Cat-SIEM-Best-Of, Vert-Healthcare-CRM, Prob-Ransomware-Detection

When you have 30+ monitors, this convention is the difference between a usable dashboard and a mess.

Country and Language

Default to your primary market. AI responses vary by region, especially for Gemini and Google AI Overview. Get a clean baseline in your primary market first, then clone top-performing monitors to secondary markets.

Monitoring Frequency

Your plan sets one frequency for every monitor group in the workspace. The guide below is how you'd prioritise cadence if your plan allowed per-monitor choice - use it to decide which monitors to keep on a higher-frequency plan.

Writing Strong Prompts

Mirror real AI queries, not search keywords.

Good prompt mix per monitor:

• Listicle - "Top 10 SIEM tools for cloud-first companies"
• Comparison - "[your product] vs Splunk for SOC teams"
• Alternative-seeking - "CrowdStrike alternatives," "tools like Datadog"
• Use-case specific - "Best EDR for ransomware prevention in healthcare"
• Trust/validation - "Is [your product] SOC 2 compliant?" "[your product] reviews from CISOs"

Use 4–5 prompts per monitor. Fewer gives thin signal. More makes it hard to attribute score movement to specific prompts.

AI Surface Selection

• Default starting set (most B2B): ChatGPT, Perplexity, Gemini, Google AI Overview
• Add Microsoft Copilot: For enterprise or security-focused monitors
• Add Grok: When expanding to tech-forward or developer audiences
• Expand further: Once you have clean data from your initial set

First-Week Setup

Don't try to configure 30 monitors on day one. Start with 10 high-priority monitors, run them for two weeks, then expand based on what you learn.

Starter set for a B2B SaaS company:

Starter set for a cybersecurity vendor:

Run for two weeks. Look at which prompts surface competitors but not you - those gaps tell you exactly where to expand.

6-Week Review Cadence

Set a recurring 6-week review of your full monitor set:

• Which monitors show 0% presence AND no movement over 6 weeks? Retire them and replace with new hypotheses
• Which monitors show competitors gaining share? Analyse what AI is citing in those responses and address the content gap
• Which individual prompts are dragging down a monitor's average? Replace that one prompt rather than the whole monitor
• Are there new competitors AI is now citing? Add them - new entrants appear in AI responses before they appear in your sales pipeline
• For cybersecurity: new CVEs or breach events worth a temporary monitor? Spin up short-term monitors during active campaigns, retire them when the news cycle ends

Common Mistakes

Next Steps