New Relic Organic Growth Opportunities

A massive library of landing pages targeting specific cloud services across AWS, GCP, and Azure, providing granular monitoring guides for each. These pages focus on golden signals, setup paths, and alert thresholds to capture high-intent infrastructure engineers.

Example Keywords

• "aws sqs monitoring"
• "azure cosmos db monitoring alerts"
• "gcp cloud run monitoring dashboards"
• "aws step functions troubleshooting"

Rationale

New Relic has strong platform relevance but lacks the granular "service × intent" breadth found in competitor footprints. By creating thousands of service-specific pages, the domain can capture underserved long-tail queries from engineers in the implementation phase.

Topical Authority

New Relic is already recognized for technical infrastructure education and has a high Authority Score (57), making it a trusted source for cloud-native monitoring guidance.

Internal Data Sources

Use integration catalog metadata, pre-built dashboard templates from Instant Observability, and existing documentation for installation snippets to differentiate the AI output.

Estimated Number of Pages

6,000 - 15,000 pages (covering 300+ services across 3 major clouds with multiple intent variants)

A comprehensive technical dictionary mapping thousands of specific error signatures and status codes to detection and remediation steps. This play targets engineers mid-incident who are searching for the exact error strings appearing in their logs.

Example Keywords

• "http 504 gateway timeout fix"
• "kubernetes crashloopbackoff causes"
• "postgresql too many connections"
• "tls handshake timeout troubleshooting"

Rationale

This play leverages the massive long-tail search volume associated with production errors. It positions New Relic as the immediate solution for identifying and fixing errors that their platform is designed to detect.

Topical Authority

The domain already ranks for several high-traffic technical explainers; this encyclopedia is a scaled extension of that existing topical trust.

Internal Data Sources

Leverage the Errors Inbox taxonomy, anonymized support trends for common root causes, and NRQL query snippets for detection blocks.

Estimated Number of Pages

25,000 - 80,000 pages (covering a vast array of HTTP, database, and infrastructure error signatures)

A unique library of pages focused on monitoring external dependencies like Stripe, Twilio, and Salesforce. These pages help teams manage the reliability of APIs and webhooks they do not control but rely on for business operations.

Example Keywords

• "stripe webhook monitoring"
• "salesforce api rate limit 429"
• "github webhook delivery failed"
• "okta oauth token refresh errors"

Rationale

Modern stacks are heavily dependent on third-party APIs, yet monitoring guidance for these external services is fragmented. This play captures a unique niche of incident-intent SEO.

Topical Authority

New Relic's existing 782 "instant-observability" pages provide a credible foundation for expanding into third-party service reliability.

Internal Data Sources

Use integration catalog metadata, support patterns for common webhook failures, and approved documentation for signature verification examples.

Estimated Number of Pages

10,000 - 40,000 pages (covering hundreds of vendors and their specific event/failure modes)

A deep-dive technical atlas keyed to specific Kubernetes event reasons and symptoms. It provides engineers with immediate diagnostic steps and the telemetry signals needed to resolve cluster-level issues.

Example Keywords

• "FailedScheduling 0 nodes available"
• "readiness probe failed timeout"
• "pod evicted disk pressure"
• "ImagePullBackOff unauthorized"

Rationale

Kubernetes troubleshooting is a high-volume, high-complexity area where New Relic can bridge the gap between a raw error message and a platform-driven solution.

Topical Authority

With existing assets like Pixie and dedicated K8s integration pages, New Relic has the cloud-native credibility to dominate these technical SERPs.

Internal Data Sources

Utilize Kubernetes integration docs, Pixie metadata, and pre-built dashboard/alert conditions for cluster health.

Estimated Number of Pages

20,000 - 70,000 pages (mapping event reasons across various cluster components and environments)

A library of pages targeting production-critical failures in databases and messaging queues. It focuses on the intersection of error codes and workload patterns to provide highly specific remediation guidance.

Example Keywords

• "deadlock detected postgres"
• "kafka rebalance too often"
• "mysql lock wait timeout exceeded"
• "redis crossslot keys hash error"

Rationale

Database and messaging incidents are high-stakes events. Providing the exact telemetry signals and fix steps for these errors attracts senior engineers and architects.

Topical Authority

New Relic's strength in application performance monitoring (APM) naturally extends to the data layer, where they already provide deep instrumentation.

Internal Data Sources

Use database integration capability matrices, approved alert runbooks, and anonymized support escalations regarding database saturation.

Estimated Number of Pages

30,000 - 100,000 pages (covering dozens of engines and thousands of specific error strings)

Improvements Summary

Refocus four New Relic Platform feature pages (APM, Browser Monitoring, Synthetics, Dashboards) around primary “brand + feature” keywords and intent-matching page sections. Expand on-page depth (use cases, FAQs with schema, “how it works,” integrations, proof points) and add supporting hub articles to capture generic terms and funnel authority to product pages.

Improvements Details

Map and prioritize keywords per page: “newrelic apm” + “apm new relic” for /platform/application-monitoring, “new relic browser monitoring” + “browser monitoring” for /platform/browser-monitoring, “synthetic monitoring new relic” for /platform/synthetics, and “new relic dashboard” for /platform/dashboards (plus NRQL dashboard intent via Docs links). Rewrite above-the-fold copy to match evaluative intent, add targeted H2s (e.g., “What is browser monitoring?”, “Browser monitoring vs RUM”), build FAQ sections with FAQPage schema, and add “How it works,” integrations, and customer proof modules. Strengthen internal links from /platform, relevant Docs (NRQL, agents), related blog posts, and cross-link feature pages where intents overlap; publish four supporting guides (browser monitoring, synthetic monitoring, APM explained, observability dashboards with NRQL) and refresh two existing posts to point into the feature pages.

Improvements Rationale

Several high-intent terms show weak traffic share despite relevance, indicating intent mismatch, thin topical coverage, or weak internal authority pointing to the commercial pages. Expanding intent-aligned sections plus stronger contextual internal linking typically moves pages from positions 11–20 into the top 10 on authoritative domains, with faster gains expected for “new relic dashboard” and synthetics terms due to clearer SERP intent and lower competition than broad generics like “browser monitoring.”