{{ domain.value }}
About learn.microsoft.com (Tech Companies)
This page provides details about learn.microsoft.com (Tech Companies) which was ranked #5 out of 118 in the list of sources (4 citations (3.2% 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. This source is referenced for brands: OpenAI, Microsoft.
Used by AI Models
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
Pages from learn.microsoft.com (2 links)
| URL Path | Citations | Position |
|---|---|---|
| /en-us/azure/ai-services/openai | 3 | 14 |
| /en-us/azure/search/search-what-is-azure-search | 1 | 20 |
Citations from AI Responses
OpenAI ChatGPT Latest
(4 citations)
What are the proven best practices and strategies experts use for AI Tools for Marketers?
[...] ithub.io/presidio/) 3) Choose the right AI building blocks for the job - General LLM providers: OpenAI [https://openai.com](https://openai.com), Anthropic [https://www.anthropic.com](https://www.anthropic.com), Google AI (Gemini) [https://ai.google.dev](https://ai.google.dev), Azure OpenAI Service [https://learn.microsoft.com/en-us/azure/ai-services/openai/](https://learn.microsoft.com/en-us/azure/ai-services/openai/), Amazon Bedrock [https://aws.amazon.com/bedrock/](https://aws.amazon.com/bedrock/) - Retrieval-Augmented Generation (RAG) to keep content accurate and on-brand by grounding in your own content: What is RAG (IBM) [https://www.ibm.com/think/topics/retrieval-augmented-generation](https://www.ibm.com/ [...]
[...] ment) - Security and prompt-injection defenses for marketing agents and chatbots: OWASP Top 10 for LLM Apps [https://owasp.org/www-project-top-10-for-large-language-model-applications/](https://owasp.org/www-project-top-10-for-large-language-model-applications/), Microsoft prompt injection guidance [https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections) - Copyright and disclosure - Ensure human review, substantiation of claims, and rights for generated content; keep records of sources. - U.S. Copyright Office AI guidance [https://www.copyright.gov/ai/](https://www.copyright.gov/ai/), FTC guidance on AI marketing claims [https://www.ftc.gov/bu [...]
[...] rails and analytics; strict prompt-injection mitigation; clear agent-to-human handoff. - OWASP LLM Top 10 [https://owasp.org/www-project-top-10-for-large-language-model-applications/](https://owasp.org/www-project-top-10-for-large-language-model-applications/), Microsoft prompt injection guidance [https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-injections) Compliance and platform policy references (commonly needed) - Google Search helpful, people-first content [https://developers.google.com/search/docs/fundamentals/creating-helpful-content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) - Google guidance on AI-gene [...]
[...] /docs/), LlamaIndex [https://www.llamaindex.ai](https://www.llamaindex.ai), Pinecone [https://www.pinecone.io](https://www.pinecone.io), Weaviate [https://weaviate.io](https://weaviate.io), FAISS [https://github.com/facebookresearch/faiss](https://github.com/facebookresearch/faiss), Azure AI Search [https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) - Fine-tuning vs. prompting: start with prompting + RAG; only fine‑tune where you need style adaptation or domain patterns not solved by grounding. OpenAI fine‑tuning guide [https://platform.openai.com/docs/guides/fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) - Image/video/audi [...]