Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

PredictOPspredictops.com

PredictOPs is a Gen-AI powered AIOps platform that provides advanced monitoring and intelligence-driven solutions for enhanced operational efficiency and resilience.

Developer & AI Platformpredictops.comTracked since 2026-08-211 discovery source
457Backlinks
78Referring domains
20Domain authority
-9.3%Referring domains · 90 days

Authority & distribution

How strong is PredictOPs’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

457Current snapshot

Referring domains

78Current snapshot

Authority

20Domain authority · category median 22

90-day move

-9.3%Referring domains, last 90 days
At 20, PredictOPs sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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AI referral visibility

Which AI assistants are already sending PredictOPs traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What PredictOPs is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“PredictOPs”

PredictOPs is a Gen-AI powered AIOps platform that provides advanced monitoring and intelligence-driven solutions for enhanced operational efficiency and resilience.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://predictops.com

Observed across 1 discovery source.

Research questions

What the evidence answers about PredictOPs.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What are the main use cases or situations where PredictOPs is used?

PredictOPs is used for log data monitoring, alert correlation, microservice management, anomaly detection, infrastructure log behavior analysis, and failure rate analysis. These use cases provide real-time visibility, noise reduction, end-to-end visibility, and proactive solutions for operations management.

What key features or capabilities does the PredictOPs platform offer?

PredictOPs offers features including Log Data Monitoring, Alert Correlation, Microservice Management, Anomaly Detection, Infra Log Behaviour, and Failure Rate Analysis. It leverages proprietary algorithms within Python open-source environments and features like Gen-AI integration for cognitive insights.

What is PredictOPs and what problem does it solve?

PredictOPs is a Gen-AI powered AIOps platform that provides advanced monitoring and intelligence-driven solutions for enhanced operational efficiency and resilience. Its mission is to empower organizations with these solutions to ensure unparalleled efficiency and resilience.

Who is PredictOPs designed for?

PredictOPs is designed for organizations and teams involved in operations management, particularly those using microservices and developer tools. The platform targets users seeking advanced monitoring and intelligence-driven solutions for their software operations.

What is PredictOPs?

PredictOPs is a Gen-AI powered AIOps platform. It provides advanced monitoring and intelligence-driven solutions to enhance operational efficiency and resilience for organizations.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full PredictOPs intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured