# New Relic AI visibility in Observability & Monitoring

Canonical: https://devtune.ai/verticals/observability-monitoring/new-relic

[Website](https://newrelic.com/)

Updated: 2026-10-15T01:11:58.916899+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- perplexity
- bing-copilot-search
- google-ai-mode
- google-ai
- xai-search

Rank: 2
Total brands: 14
Measured responses: 150
Presence percent: 30
Share of voice percent: 19.18819188191882
Average position: 10.10576923076923
Docs presence percent: 15.333333333333332
Blog presence percent: 14.000000000000002
Brand mention percent: 62.66666666666667


## Profile

Overview: New Relic is a San Francisco-based, AI-powered observability platform founded in 2008 by Lew Cirne and taken private in November 2023 by Francisco Partners and TPG for approximately $6.5 billion. The platform delivers full-stack monitoring—spanning application performance management (APM), infrastructure, log management, digital experience monitoring, AI/LLM observability, AIOps, and security vulnerability management—under a single unified interface. New Relic supports over 800 pre-built integrations and is built on OpenTelemetry standards. It uses a transparent, usage-based pricing model with a perpetual free tier (100 GB/month). The company has been named a Gartner Magic Quadrant Leader for Observability Platforms every year since 2012, most recently for the 13th consecutive time in 2025.
Product summary: New Relic Intelligent Observability Platform is a cloud-native, AI-powered SaaS product that unifies metrics, events, logs, and traces (MELT) across the full technology stack—from frontend browser and mobile applications through distributed microservices, databases, Kubernetes clusters, and cloud infrastructure. It combines APM 360, digital experience monitoring, AI/agentic monitoring, log intelligence, infrastructure monitoring, AIOps, and Security Rx into a single data platform with 800+ integrations, an NRQL query engine, customizable dashboards, smart alerting, and an AI assistant (New Relic AI). Agentic capabilities include an SRE Agent for automated incident remediation and an Agentic Platform for delivering observability signals into third-party AI workflows.


### Key capabilities

- Full-stack APM with distributed tracing and transaction-level root cause analysis (APM 360)
- Infrastructure monitoring for hybrid, cloud-native, and Kubernetes environments
- Log management with AI-assisted query, federated logs, and in-context correlation
- Digital experience monitoring: real user monitoring (RUM), synthetic testing, mobile, and session replay
- AI and agentic monitoring: LLM performance, token usage, and hallucination detection
- AIOps: anomaly detection, smart alerting, incident correlation, and workflow automation
- Security Rx: runtime vulnerability management with production-context prioritization
- Cloud Cost Intelligence: real-time multi-cloud and Kubernetes spend visibility
- SRE Agent: AI-driven automated incident investigation and remediation
- OpenTelemetry-native telemetry pipeline with Pipeline Control for data volume management



### Target users

- Software engineers and application developers (APM, error tracking, distributed tracing)
- Site reliability engineers (SRE) and DevOps teams (incident response, alerting, AIOps)
- Platform and infrastructure engineers (Kubernetes, cloud, network monitoring)
- Security engineers (runtime vulnerability management, fraud detection)
- Engineering managers and CTOs (business observability, cost governance, dashboards)
- Digital product teams (browser/mobile/session monitoring, conversion optimization)



### Key use cases

- Application performance monitoring and MTTR reduction for distributed microservices
- Full-stack observability consolidation to replace multiple siloed monitoring tools
- Kubernetes and cloud-native infrastructure monitoring
- Digital experience and end-user journey optimization
- AI/LLM application monitoring and cost governance
- Security vulnerability triage using live production context
- SRE incident response automation and on-call noise reduction
- Business observability: linking technical telemetry to revenue and customer outcomes

Integrations ecosystem: New Relic offers 800+ pre-built integrations and quickstarts covering cloud providers (AWS, Azure, GCP), container orchestration (Kubernetes, Docker), databases, serverless platforms, CI/CD pipelines, and messaging systems. The platform natively supports OpenTelemetry for vendor-agnostic telemetry collection. Technology partnerships include ServiceNow, SAP, Prometheus, and Pivotal Cloud Foundry. An agentic integrations layer ('Agentic Platform') delivers observability insights into third-party AI workflows and developer tools. The GitHub integration (github.com/newrelic) provides open-source agents and instrumentation libraries.
Pricing summary: Usage-based model with four tiers. Free: 100 GB data ingest/month, 1 full platform user, unlimited basic users, 8-day default data retention—no credit card required. Standard: up to 5 full platform users, additional full platform users at $10 (first) / $99 each, data at $0.40/GB beyond 100 GB. Pro: unlimited full platform users at $349/user/year (or $418.80/month pay-as-you-go), data at $0.40/GB (original) or $0.60/GB (Data Plus with extended retention and FedRAMP/HIPAA eligibility). Enterprise: custom pricing, FedRAMP Moderate and HIPAA compliance, 24/7 dedicated support, 1-hour critical response SLA. An optional Compute pricing model (CCU-based, no user fees) is available on Pro and Enterprise. No host, agent, or container-count fees on any tier.
Review summary: Across Gartner Peer Insights (4.5/5, 1,392 reviews, July 2025) and G2 (4.4/5, 601 reviews), New Relic earns consistently high marks for real-time visibility, unified dashboards, and ease of integration. 90% of Gartner respondents indicate willingness to recommend the platform. Praise centers on APM depth, distributed tracing, and the breadth of the unified platform. Criticism is concentrated on pricing escalation at scale, the learning curve for NRQL and advanced configuration, and historical product deprecations requiring engineering effort to adapt. Enterprise buyers on Gartner note inconsistent account management continuity and some complexity in alert setup.
Competitive positioning: New Relic positions itself as the only AI-powered, all-in-one observability platform built for every engineer, differentiating on breadth (50+ capabilities in a single unified platform), transparent usage-based pricing with a generous free tier, and being the sole vendor named a Gartner Magic Quadrant Leader in every iteration of the Observability Platforms report since 2012 (13 consecutive times as of 2025). It emphasizes tool consolidation—replacing point solutions with a single pane of glass across metrics, events, logs, and traces (MELT)—and increasingly targets AI and agentic workload monitoring as a growth frontier versus rivals like Datadog and Dynatrace.
Limitations: Reviewers consistently cite escalating costs as data ingest volumes grow, with pricing complexity and hidden fees noted as pain points. The platform carries a steep learning curve—NRQL (New Relic Query Language) is frequently flagged as unintuitive for newcomers. Initial agent setup and alert configuration require significant effort. Some users report that the UI can feel cluttered with too many options, and certain advanced features (e.g., Drop Rules) have been deprecated, forcing rework. Data retention on lower tiers is limited to 8 days by default. Sales and account management continuity has been flagged as an area for improvement by enterprise buyers on Gartner Peer Insights.


### Source urls

- https://newrelic.com/pricing
- https://newrelic.com/press-release/20231108
- https://www.businesswire.com/news/home/20240814122592/en/New-Relic-Named-a-Leader-in-2024-Gartner-Magic-Quadrant-for-Observability-Platforms-for-the-12th-Consecutive-Time
- https://newrelic.com/press-release/20250710
- https://www.gartner.com/reviews/market/observability-platforms/vendor/newrelic/product/newrelic
- https://www.g2.com/sellers/new-relic
- https://en.wikipedia.org/wiki/New_Relic
- https://newrelic.com/customers/shutterstock
- https://newrelic.com/customers
- https://newrelic.com/instant-observability

Reviewed at: 2026-04-28T23:21:32.69+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Shutterstock | Shutterstock standardized on New Relic for log management and observability, reducing log spend and significantly accelerating fraud and security report generation from hours or days to minutes. | 60% reduction in logging spend; 75% decrease in time generating reports |
| Statista | Data analytics firm Statista used New Relic's free tier to shift left on observability, scaling their deployment and dramatically reducing application latency. | 95% latency reduction |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Gartner Peer Insights | 4.5 | 5 | 1392 | https://www.gartner.com/reviews/market/observability-platforms/vendor/newrelic/product/newrelic |
| G2 | 4.4 | 5 | 601 | https://www.g2.com/sellers/new-relic |



### Review themes



#### Praised

- Real-time monitoring and performance visibility across the full stack
- Intuitive, customizable dashboards
- Seamless multi-language and framework integrations
- Comprehensive APM with distributed tracing and transaction-level detail
- Reliable alerting and anomaly detection
- Unified logs, metrics, and traces in a single platform
- Generous free tier and transparent pricing model
- Strong support and account team responsiveness



#### Criticized

- Pricing escalates quickly at scale; costs perceived as high for large data volumes
- Steep learning curve for NRQL and advanced configuration
- Complex initial setup and agent instrumentation effort
- UI can feel cluttered with too many options
- Feature deprecations (e.g., Drop Rules) force engineering rework
- Limited default data retention on lower tiers (8 days)
- Account management continuity issues and sales org accessibility
- Alert configuration lacks sufficient automation and intelligence in some workflows




### Company facts

Founded year: 2008
Hq: San Francisco, USA


#### Founders

- Lew Cirne

Employees range: 1001-5000
Total funding: $196M
Valuation: $6.5B
Arr: Not available
Customer count: ~15,900
Status: Private (Francisco Partners & TPG, acq. Nov 2023)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Datadog | 46 | 150 | 30.666666666666664 | 10.60576923076923 |
| New Relic | 45 | 150 | 30 | 10.10576923076923 |
| Grafana | 37 | 150 | 24.666666666666668 | 12.446601941747574 |
| Dynatrace | 23 | 150 | 15.333333333333332 | 24.176470588235293 |
| Elastic | 17 | 150 | 11.333333333333332 | 16.97222222222222 |
| Honeycomb | 17 | 150 | 11.333333333333332 | 18.05 |
| Splunk | 15 | 150 | 10 | 19.57894736842105 |
| Coralogix | 7 | 150 | 4.666666666666667 | 6.588235294117647 |
| Better Stack | 6 | 150 | 4 | 16 |
| Logz.io | 5 | 150 | 3.3333333333333335 | 11.666666666666666 |
| Sentry | 2 | 150 | 1.3333333333333335 | 3 |
| Chronosphere | 2 | 150 | 1.3333333333333335 | 22.333333333333332 |
| Axiom | 1 | 150 | 0.6666666666666667 | 74.66666666666667 |
| Mezmo | 1 | 150 | 0.6666666666666667 | 75 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 15 | 60 |
| perplexity | 15 | 60 |
| bing-copilot-search | 3 | 12 |
| google-ai-mode | 5 | 20 |
| google-ai | 0 | 0 |
| xai-search | 7 | 28.000000000000004 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which APM tools have the best day-one onboarding to get immediate value without drowning in noise? | 3 | 1 |
| Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | 4 | 2 |
| Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in? | 1 | 3 |
| Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds? | 3 | 5.333333333333333 |
| Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | 2 | 5.5 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | 4 |
| What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | 4 |
| What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | 4 |
| What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | 3 |
| Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 4 |
| Developer Experience | 5 | 4 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 5 |



## Prompt results

- Prompt text: What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 18



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 4 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Grafana | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 6 |
| Splunk | 9 |
| Dynatrace | 10 |
| New Relic | 18 |
| Honeycomb | 20 |


- Prompt text: Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?


#### Brand position by platform

Chatgpt-search: 4
Perplexity: 1
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |
| Dynatrace | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |
| Dynatrace | 5 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |



##### Google-ai





##### Xai-search




- Prompt text: Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?


#### Brand position by platform

Chatgpt-search: 5
Perplexity: 6
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Dynatrace | 2 |
| New Relic | 5 |
| Elastic | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Datadog | 5 |
| New Relic | 6 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Elastic | 1 |
| Splunk | 3 |
| Grafana | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Better Stack | 2 |
| New Relic | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Datadog | 3 |
| Better Stack | 5 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 4
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Elastic | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Elastic | 9 |



##### Xai-search




- Prompt text: Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 36



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Datadog | 4 |
| Dynatrace | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Grafana | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 5 |
| Datadog | 17 |
| Dynatrace | 26 |
| New Relic | 36 |
| Splunk | 46 |
| Grafana | 56 |
| Elastic | 66 |


- Prompt text: Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?


#### Brand position by platform

Chatgpt-search: 10
Perplexity: 1
Bing-copilot-search: 2
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 2 |
| New Relic | 10 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |
| Honeycomb | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Honeycomb | 3 |
| Datadog | 5 |



##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Dynatrace | 9 |
| Honeycomb | 18 |
| Splunk | 33 |
| Datadog | 55 |


- Prompt text: Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: 1
Bing-copilot-search: 1
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Sentry | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |



##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 3
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| New Relic | 3 |
| Datadog | 4 |
| Honeycomb | 8 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Datadog | 7 |
| Logz.io | 12 |
| Grafana | 14 |
| Honeycomb | 16 |
| Splunk | 17 |
| Elastic | 19 |


- Prompt text: What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces?


#### Brand position by platform

Chatgpt-search: 5
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 3 |
| New Relic | 5 |
| Coralogix | 9 |
| Datadog | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 3 |
| Datadog | 8 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Datadog | 2 |
| Grafana | 3 |



##### Xai-search




- Prompt text: What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?


#### Brand position by platform

Chatgpt-search: 6
Perplexity: 6
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Elastic | 4 |
| New Relic | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Elastic | 1 |
| Datadog | 3 |
| New Relic | 6 |
| Grafana | 8 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Xai-search




- Prompt text: Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Coralogix | 1 |
| Datadog | 11 |
| Elastic | 17 |
| Grafana | 19 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Chronosphere | 4 |
| Coralogix | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?


#### Brand position by platform

Chatgpt-search: 4
Perplexity: 6
Bing-copilot-search: Not available
Google-ai-mode: 2
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |
| Dynatrace | 8 |
| Splunk | 12 |
| Elastic | 16 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |
| New Relic | 6 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Coralogix | 9 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| New Relic | 2 |



##### Google-ai





##### Xai-search




- Prompt text: Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: 4
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 2 |
| Datadog | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 4 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 4 |



##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow?


#### Brand position by platform

Chatgpt-search: 11
Perplexity: 5
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 3 |
| Grafana | 6 |
| Splunk | 10 |
| New Relic | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 5 |
| Grafana | 6 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?


#### Brand position by platform

Chatgpt-search: 5
Perplexity: 2
Bing-copilot-search: Not available
Google-ai-mode: 6
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |
| New Relic | 5 |
| Splunk | 7 |
| Elastic | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 2 |
| Dynatrace | 3 |
| Elastic | 5 |
| Splunk | 6 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Grafana | 2 |
| Datadog | 3 |
| New Relic | 6 |
| Elastic | 9 |



##### Google-ai





##### Xai-search




- Prompt text: Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: 1
Bing-copilot-search: 3
Google-ai-mode: 1
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 3 |
| Dynatrace | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Dynatrace | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 3 |
| Coralogix | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |



##### Google-ai





##### Xai-search




- Prompt text: Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 17



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Better Stack | 2 |
| New Relic | 3 |
| Datadog | 4 |
| Grafana | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 5 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Better Stack | 16 |
| New Relic | 17 |
| Datadog | 51 |
| Dynatrace | 70 |


- Prompt text: Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?


#### Brand position by platform

Chatgpt-search: 7
Perplexity: 2
Bing-copilot-search: Not available
Google-ai-mode: 1
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Datadog | 3 |
| New Relic | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 2 |
| Splunk | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 1 |



##### Google-ai





##### Xai-search




- Prompt text: Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?


#### Brand position by platform

Chatgpt-search: 5
Perplexity: 3
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 35



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Splunk | 1 |
| Grafana | 3 |
| New Relic | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Splunk | 1 |
| New Relic | 3 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 9 |
| Elastic | 10 |
| Splunk | 16 |
| New Relic | 35 |
| Better Stack | 51 |
| Dynatrace | 59 |
| Datadog | 61 |
| Axiom | 71 |
| Mezmo | 75 |


- Prompt text: Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 4
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 7



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| New Relic | 4 |
| Datadog | 6 |
| Grafana | 7 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| New Relic | 7 |
| Coralogix | 13 |
| Honeycomb | 23 |
| Grafana | 65 |


- Prompt text: Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds?


#### Brand position by platform

Chatgpt-search: 5
Perplexity: 2
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 9



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 2 |
| Dynatrace | 3 |
| New Relic | 5 |
| Splunk | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| New Relic | 2 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Splunk | 7 |
| New Relic | 9 |
| Grafana | 23 |
| Datadog | 35 |
| Dynatrace | 72 |


- Prompt text: What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 7 |
| Elastic | 8 |



##### Perplexity





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Coralogix | 6 |



##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 10 |
| Datadog | 16 |
| Chronosphere | 27 |
| Elastic | 32 |
| Grafana | 39 |


- Prompt text: Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Better Stack | 1 |
| Datadog | 2 |
| Elastic | 3 |
| Grafana | 12 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 6 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Honeycomb | 3 |



##### Google-ai





##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://newrelic.com/blog/observability/observability-tools | 5 Top Observability Tools For Unified Visibility & Faster Resolution \| New Relic | newrelic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/8437a7e1d6ff22ffdef3faf90b28f20767f30fb1.png | commercial | blog_post | 12 | 12 |
| https://docs.newrelic.com/docs/alerts/create-alert/set-thresholds/anomaly-detection/ | Anomaly direction | docs.newrelic.com | Not available | commercial | documentation | 8 | 8 |
| https://newrelic.com/info/best-apm-tools-2026 | Best APM Tools 2026: New Relic, Datadog, Dynatrace | newrelic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/8437a7e1d6ff22ffdef3faf90b28f20767f30fb1.png | commercial | listicle | 8 | 8 |
| https://docs.newrelic.com/docs/change-tracking/overview/ | Introduction to change tracking | docs.newrelic.com | Not available | commercial | documentation | 7 | 7 |
| https://docs.newrelic.com/docs/browser/new-relic-browser/browser-pro-features/browser-data-distributed-tracing/ | Browser data in distributed tracing \| New Relic Documentation | docs.newrelic.com | Not available | commercial | documentation | 7 | 7 |
| https://docs.newrelic.com/docs/apm/agents/manage-apm-agents/opentelemetry-api-support/ | OpenTelemetry API support in New Relic agents \| New Relic Documentation | docs.newrelic.com | Not available | commercial | documentation | 5 | 5 |
| https://newrelic.com/platform/change-tracking | Change Tracking | newrelic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/8437a7e1d6ff22ffdef3faf90b28f20767f30fb1.png | commercial | article | 4 | 4 |
| https://docs.newrelic.com/docs/new-relic-solutions/best-practices-guides/full-stack-observability/synthetic-monitoring-best-practices-guide/ | Synthetic monitoring best practices guide | docs.newrelic.com | Not available | commercial | documentation | 4 | 4 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | google-ai-mode | ...er a managed cloud service or an instant self-hosted open-source approach: * * SaaS APM Leaders (Fastest Overall Setup): Platforms like New Relic or [Datadog] provide a single OpenTelemetry collector or a lightweight daemonset/operator via Helm. |
| Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes? | google-ai-mode | [Dynatrace +1] * New Relic (Change Tracking): Allows engineering teams to report deployments via CLI, API, or CI/CD integrations. |
| Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning? | google-ai-mode | ...t seasonality._ Anomaly Detection Alerts: A Complete Guide to * New Relic (Applied Intelligence & Lookout): Leverages an integrated AIOps layer that automatically detects deviations across full... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Grafana | ## Best enterprise observability platforms to evaluate ## 1. Grafana Enterprise and Grafana Cloud Best for flexible team isolation Strong choice for organizations that want shared observability infrastructure with team-specific data access, dashboar... |
| perplexity | Dynatrace | For team- or service-level views with access controls, Dynatrace and Grafana Enterprise/Cloud are the strongest fits among the platforms covered by the available evidence—but they isolate access in different ways. |
| perplexity | Grafana | For team- or service-level views with access controls, Dynatrace and Grafana Enterprise/Cloud are the strongest fits among the platforms covered by the available evidence—but they isolate access in different ways. |
| google-ai-mode | Grafana | Manage tenant isolation[Building a Multi-Tenant Observability Platform with SigNoz + OneUptime - DEV Community](https://dev.to/starkprince/building-a-multi-tenant-observability-pla... |
| google-ai | Grafana | Grafana Enterprise & Grafana Cloud (Mimir/Loki/Tempo) Grafana is widely regarded as an industry standard for multi-team and multi-tenant visualization. |
| chatgpt-search | Honeycomb | My shortlist would start with Grafana Tempo + Grafana Alloy, Honeycomb, Grafana Cloud, and Datadog, with Jaeger/OpenTelemetry Collector and Axiom also worth evaluating depending on how much infrastructure you want to manage yourself. |
| chatgpt-search | Grafana | My shortlist would start with Grafana Tempo + Grafana Alloy, Honeycomb, Grafana Cloud, and Datadog, with Jaeger/OpenTelemetry Collector and Axiom also worth evaluating depending on how much infrastructure you want to manage yourself. |
| perplexity | Honeycomb | \| Platform \| Best fit \| Why it stands out \| Main trade-off \| \|---\|---\|---\|---\| \| Honeycomb Refinery \| Flexible, trace-aware sampling with explicit throughput control \| Refinery makes decisions on whole traces and supports rules-based, dynamic, dete... |
| perplexity | Grafana | \| \| Grafana Cloud Adaptive Traces / Grafana Alloy \| Managed tail sampling, or an open pipeline you can run yourself \| Adaptive Traces offers managed policy-based sampling, including errors, latency, and attributes. |
| google-ai-mode | Datadog | Honeycomb, New Relic (Infinite Tracing), and Datadog/Splunk (via OpenTelemetry Collector tail-based sampling) offer the most robust approaches to tail-based sampling for high-throughput environments. |
| google-ai | Datadog | Datadog * How it works: Datadog supports advanced tail-based sampling configurations both through its proprietary agents and via OpenTelemetry Collector tail-sampling processors. |
| google-ai | Grafana | Grafana Labs (Grafana Tempo + Grafana Alloy / OTel Collector) * How it works: Grafana approaches tail-based sampling via an open, standards-driven model. |



## Trend

Visibility delta: -2.6000000000000014
Avg position delta: 1.3571428571428568
Citation count delta: 30