How often is trulens.org cited by AI models?

trulens.org was cited 2 times by AI models, representing 0.3% of all source citations.

Which AI models cite trulens.org?

trulens.org is cited by 1 AI models including Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest, Google Gemini Flash (latest), X.AI Grok (latest).

What is trulens.org's ranking among source domains?

trulens.org ranks #61 out of 266 source domains analyzed (with 183 brands also tracked).

What brands are associated with trulens.org?

AI models reference trulens.org when discussing brands like various brands.

How is source ranking determined?

Sources are ranked by Share of Voice = Model Coverage × Quality Score. Model weights are based on Monthly Active Users (OpenAI ChatGPT Latest: 900M MAU, Google Gemini Flash (latest): 650M MAU, Perplexity Sonar (with search) (latest): 45M MAU, etc.). Sources appearing earlier in AI responses receive higher prominence scores.

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Share of Voice

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About trulens.org (Academic)

This page provides details about trulens.org (Academic) which was ranked #61 out of 266 in the list of sources (2 citations (0.3% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "What are the proven best practices and strategies experts use for AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch.

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Rank

Voice

Position

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Citations

Used by AI Models

Model	Voice	Position	Citations
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Pages from trulens.org (1 link)

URL Path	Citations	Position
trulens.org	2	156

Citations from AI Responses

OpenAI ChatGPT Latest (2 citations)

What are the proven best practices and strategies experts use for AI Tools for Marketers?

[...] com](https://www.appsflyer.com), Adjust [https://www.adjust.com](https://www.adjust.com) - LLM-specific evaluation and monitoring: OpenAI Evals [https://github.com/openai/evals](https://github.com/openai/evals), LangSmith [https://docs.smith.langchain.com](https://docs.smith.langchain.com), TruLens [https://www.trulens.org](https://www.trulens.org), Ragas (RAG eval) [https://github.com/explodinggradients/ragas](https://github.com/explodinggradients/ragas), Arize Phoenix [https://github.com/Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) 7) Governance, legal, and brand safety guardrails - Adopt an AI risk framework; define roles, appr [...]

trulens.org October 24, 2025

[...] tps://www.databricks.com), Snowflake [https://www.snowflake.com](https://www.snowflake.com) - Observability for LLM apps: LangSmith [https://docs.smith.langchain.com](https://docs.smith.langchain.com), Arize Phoenix [https://github.com/Arize-ai/phoenix](https://github.com/Arize-ai/phoenix), TruLens [https://www.trulens.org](https://www.trulens.org) 10) Proven rollout approach - Start with low‑risk, high‑leverage pilots (content variants, support macros, ad copy ideation). Use holdouts and “human in the loop” review. - Build an internal AI Center of Excellence and playbooks; train teams on prompting and policy. - Manage change with structure [...]