New Relic is a leading platform in the APM and Observability industry, helping teams monitor and optimize software performance in real time.
They have built a deeply integrated content engine that spans every stage of the buyer journey.
From TOFU educational guides like “What is Observability” to bottom-funnel battle cards like “Datadog vs New Relic,” their content maps closely to user intent.
They’re owning niche technical queries, competitive head-to-heads, and high-conversion landing pages.
With strong AI SERP visibility and top-ranking assets across technical and decision-stage content, New Relic is shaping the conversation in observability and APM.
But how exactly? Let’s find out.
| Attribute | Score (/100%) | What It Reflects |
|---|---|---|
| Decision-Stage Coverage | 97 | Volume and ranking of “vs,” “pricing,” “best [X]” pages |
| AI SERP Readiness | 85 | Presence in ChatGPT/Perplexity, schema use, answer-ready formatting |
| Branded Query Ownership | 95 | How well the brand ranks for all its name variations |
| Topical Authority | 98 | Depth of content cluster coverage (TOFU–BOFU) |
| Technical SEO Health | 85 | Core Web Vitals + crawl efficiency |
| Link Authority | 97 | Referring domain quality, link velocity |
| Metric | Value |
|---|---|
| Organic Traffic (Monthly) | 90K+ |
| Domain Rating | 79 |
| Backlinks | 3.5M Backlinks |
| Referring Domains | 8.4K |
| High-Intent Keywords | 179 Keywords |
| Informational Keywords | 26.3K Keywords |
| Branded Keywords | 7K Keywords |
New Relic’s SEO footprint reflects a powerful, full-funnel content strategy that blends technical depth with commercial intent.
This kind of keyword spread shows they’re winning across the user journey: awareness, evaluation, and purchase.
Whether developers need the best infrastructure monitoring tool or business teams are looking for APM solutions for cloud-native apps, New Relic shows up.
It ranks well for high-intent searches like:
| Page | Why It Matters |
|---|---|
| Application Monitoring | This is one of New Relic’s cornerstone pages, targeting “application monitoring”, a high-volume, high-intent keyword. It serves as a gateway for users seeking comprehensive observability solutions. |
| What is Observability | A top-of-funnel educational piece that captures users researching observability tools and platforms. |
| Java Garbage Collection | Targets a technical developer audience looking to optimize Java performance, a key use case that New Relic supports with actionable insights and tools. |
| What is APM | A foundational guide for users exploring application performance monitoring. Converts early interest into product consideration for New Relic’s APM offering. |
| Mobile Monitoring | Focuses on monitoring mobile applications, ideal for app developers and DevOps teams needing full-stack performance visibility. |
| Shift Left Strategy | Thought leadership content for engineering managers and QA teams. Captures users looking to improve release cycles. |
| Real User Monitoring (RUM) | Targets users interested in RUM tools, vital for performance optimization. Aligns New Relic with frontend teams focused on user experience. |
| Java Performance Monitoring | Speaks directly to backend engineers and Java developers wanting deeper visibility into performance bottlenecks. |
| What is Prometheus | A competitive play, explains what Prometheus is, helping New Relic show up in competitor-related searches. |
These keywords represent high-intent searches where users are comparing tools, looking for solutions, or evaluating software in analytics and BI.
| Keyword | Why It Matters |
|---|---|
| phone monitoring app | Indicates strong interest in mobile performance tools. This keyword targets mobile developers or teams seeking real-time monitoring of app performance. |
| application monitoring software | Clear product-led search with high commercial intent. Users are actively looking to evaluate and adopt APM tools, aligning directly with New Relic’s core offering. |
| log management tools | Suggests buyers researching centralized log management. Appeals to DevOps, SRE, and IT teams managing infrastructure at scale. |
| dynatrace vs new relic pricing | Strong bottom-of-funnel keyword. Users are deep in the evaluation phase, comparing New Relic directly with a major competitor. |
| datadog vs new relic | Highly competitive, brand-comparison query. Users are likely enterprise buyers evaluating platforms before making a decision. |
| best application monitoring tools | Users are comparison-shopping top APM solutions. Appearing in this search helps New Relic stay in the consideration set. |
| best apm tool | A very targeted, product-aware search that attracts buyers actively evaluating APM solutions for deployment. |
| best observability tools | Indicates users looking for comprehensive observability platforms, a strategic keyword for New Relic’s positioning against full-stack monitoring tools. |
| best synthetic monitoring tools | This search signals buyers looking for uptime, alerting, and synthetic user tests, features offered by New Relic Synthetics. |
New Relic ranks for high-buying-intent keywords that indicate users are actively comparing tools, exploring APM and observability solutions, or evaluating competitors like Datadog and Dynatrace.
These keywords position New Relic strongly at the bottom of the funnel, capturing potential buyers close to decision-making.
| Keyword | Why It Matters |
|---|---|
| datadog free tier | Competitive play. Targets users researching Datadog’s free offering; New Relic aims to intercept these users with its own value proposition. |
| cloud cost estimator | Feature-focused. Users searching for ways to estimate cloud costs are ideal prospects for New Relic’s Cloud Cost Intelligence solution. |
| kubernetes monitoring | High-intent, infrastructure-led keyword. Captures DevOps engineers and SREs looking for Kubernetes observability solutions. |
| cloud expense management | Financial operations search. Indicates companies are seeking better visibility and control over cloud spend; key value prop for New Relic. |
| serial port monitor | Niche infrastructure need. New Relic is expanding its visibility to legacy system monitoring use cases, reaching a broader IT audience. |
| windows event log monitoring | Windows-focused monitoring need. High intent for log-based observability, aligned with IT operations roles. |
| log file viewer | Common operational search. Helps New Relic show up for engineers troubleshooting with log files, pushing their observability tools. |
| aws performance monitoring | Partnership and infrastructure intent. Captures AWS users looking to enhance performance monitoring. |
| cloud cost management solution | Solution-based query. Indicates high commercial intent to evaluate and possibly purchase a cost management platform. |
1. Competitor Bidding: Targets rival brands like Datadog and Splunk to capture comparison-stage buyers.
2. Cloud Cost Focus: Invests heavily in cloud cost-related terms, positioning itself as a cost optimization solution.
3. Monitoring-Specific Keywords: They focus largely on infrastructure terms like Kubernetes, Ubuntu, and event logs.
4. Technical Pain Points: Targets hands-on issues like log file analysis and serial port monitoring.
Own Your Niche in Observability or APM: Build content clusters that go wide and deep, mix educational explainers, how-tos, performance tips, and comparison guides to become the authority in your sub-space.
| Metric | Value | Status | Largest Contentful Paint (LCP) | 1.6s | Good |
|---|---|---|
| Interaction to Next Paint (INP) | 86ms | Great |
| Cumulative Layout Shift (CLS) | 0.01 | Excellent |
| Mobile Optimization | Needs Improvement | Fail |
Here are 5 key competitors of New Relic:
New Relic’s content strategy is sharp, their SEO foundation is deep, and their AI presence is future-ready. Few brands in the APM space are this aligned across organic, paid, and AI search.
New Relic’s marketing engine is precision-built for scale. If you’re in the observability space, this is the blueprint to learn from.
No one should have to tolerate bad content.
