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What the AI platforms say after searching the web.
Braintrust
Mention Share % (latest day)
0.82% -0.01 pp ▼
0.82% -0.01 pp ▼
Mentions (latest day)
1
1
Total Mentions
15
15
Avg Rank (latest day)
3.0
3.0
Latest tracking day
2026-07-08
2026-07-08
Domain Authorityⓘ
47.93
47.93
braintrust.dev · authority unverified
Daily Mentions Trendⓘ
Average Rankⓘ
By Platformⓘ
| Platform | Braintrust | Algoroo | Δ mentions |
|---|---|---|---|
| 12 rank 4.75 | 94 rank 6.64 | +82 | |
| OpenAI | 3 rank 7.33 | 92 rank 6.87 | +89 |
| Anthropic | 0 | 4 rank 4.5 | +4 |
Daily Citations Trendⓘ
Citation Shareⓘ
| Braintrust | Algoroo | Δ | |
|---|---|---|---|
| Citations | 16 | 14 | -2 |
| Citation share | 0.2% | 0.2% | — |
| Blended Share of Voice | 0.2% | 1.1% | +0.9 |
Of 6,706 selected citations, all-time. Δ is Algoroo minus Braintrust (green means your owned brand leads); bars show citations by platform.
Recent Mentionsⓘ
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-07-08 | Algorithm monitoring | 3 | — | Braintrust An evaluation-first AI observability platform designed specifically for tracking and optimizing autonomous AI agents. It integrates request tracing, automated scoring, and production feedback loops to ensure agent reliability. | |
| 2026-07-07 | OpenAI | Algorithm monitoring | 4 | — | Braintrust Useful for AI evaluation workflows, regression testing, prompt experiments, and monitoring production AI quality. |
| 2026-07-03 | Algorithm monitoring | 3 | — | Braintrust This brand is a top choice for evaluation-driven AI and algorithm monitoring. It captures comprehensive execution traces, tracks latency and token costs, and automatically scores how well your algorithms perform using customizable metrics. | |
| 2026-07-01 | Algorithm monitoring | 5 | — | Braintrust An evaluation-driven AI observability platform that integrates automated testing directly into the monitoring workflow. It tracks real-time metrics like latency, token usage, and costs while allowing teams to run systematic evaluations to prevent performance regressions. | |
| 2026-06-30 | Algorithm monitoring | 5 | — | Braintrust Focuses on evaluation-driven observability, making it a popular choice for tracking and refining AI agents and LLM workflows. It integrates real-time production monitoring with automated evaluation runs, allowing developers to trace reasoning steps and systematically test prompt changes. | |
| 2026-06-29 | Algorithm monitoring | 4 | — | Braintrust An evaluation-first AI observability platform that seamlessly integrates testing and production monitoring, allowing teams to run automated evaluations, track costs, and catch regressions before they impact users. | |
| 2026-06-28 | Algorithm monitoring | 4 | — | Braintrust Designed with an evaluation-first philosophy, this tool integrates testing and production monitoring into a single workflow. It is highly regarded for tracking complex AI agent behaviors, scoring outputs, and managing prompt versions. | |
| 2026-06-25 | Algorithm monitoring | 4 | — | Braintrust This platform integrates evaluation directly into the observability workflow, making it highly effective for evaluation-driven AI agent monitoring. It captures comprehensive traces automatically—including duration, token usage, and tool calls—to provide real-time monitoring and cost analytics. | |
| 2026-06-18 | OpenAI | Algorithm monitoring | 9 | — | Braintrust Evaluation-first platform for AI application monitoring, useful when you care about regressions, prompt changes, and output quality. |
| 2026-06-12 | OpenAI | Algorithm monitoring | 9 | — | Braintrust A good fit for teams that care about evaluation-driven monitoring of AI applications. Braintrust is particularly useful when you need to compare prompt versions, model versions, datasets, and production traces to understand whether your algorithm is improving or regressing. |
| 2026-05-26 | Algorithm monitoring | 4 | — | Braintrust This platform excels at full-lifecycle AI evaluation and observability, allowing teams to capture comprehensive traces, run automated evaluations, and continuously monitor algorithmic performance and cost in production. | |
| 2026-05-24 | Algorithm monitoring | 7 | — | Braintrust This evaluation-driven AI observability platform is built specifically for teams deploying AI agents and complex algorithms in production. It features comprehensive trace logging, real-time and batch evaluation, and collaborative interfaces to continuously refine model outputs. | |
| 2026-05-23 | Algorithm monitoring | 3 | — | Braintrust A prominent player in the LLMOps space, this platform provides an end-to-end environment for running automated evaluations, tracing production runs, and managing prompts collaboratively across engineering and product teams. | |
| 2026-05-20 | Algorithm monitoring | 9 | — | Braintrust An evaluation-driven AI observability platform built for tracking, tracing, and logging production AI agents and LLM outputs with minimal setup. | |
| 2026-05-18 | Algorithm monitoring | 6 | — | Braintrust A specialized platform for AI agent and LLM observability, it allows developers to trace multi-step reasoning chains, evaluate output quality automatically, and monitor the costs of complex algorithms. |