How often is support.google.com cited by AI models?

support.google.com was cited 2 times by AI models, representing 10.1% of all source citations.

Which AI models cite support.google.com?

support.google.com 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 support.google.com's ranking among source domains?

support.google.com ranks #4 out of 80 source domains analyzed (with 49 brands also tracked).

What brands are associated with support.google.com?

AI models reference support.google.com 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 support.google.com (Tech Companies)

This page provides details about support.google.com (Tech Companies) which was ranked #4 out of 80 in the list of sources (2 citations (10.1% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?" 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 support.google.com (1 link)

URL Path	Citations	Position
support.google.com	2	2

Citations from AI Responses

OpenAI ChatGPT Latest (2 citations)

What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?

[...] I alignment How to avoid: Tie every AI use case to a measurable outcome (e.g., lift in CTR, reduction in content cycle time). Define SMART goals and a measurement plan before deploying. Sources: SMART criteria (https://en.wikipedia.org/wiki/SMART_criteria), GA4 – Plan your measurement strategy (https://support.google.com/analytics/answer/11396877) - Mistake 2: Treating AI output as factual/final How to avoid: Require human review, add citations/fact checks, and set confidence thresholds for publication. Train teams on the limitations of large language models (LLMs). Sources: Large language model (https://en.wikipedia.org/wiki/Large_lan [...]

support.google.com October 24, 2025

[...] the wrong things (vanity metrics, last‑click only) How to avoid: Use experiments (A/B tests, geo‑split), incrementality testing, and appropriate attribution. Tie content/creative changes to lift vs. a control. Sources: A/B testing (https://en.wikipedia.org/wiki/A/B_testing), GA4 – Attribution (https://support.google.com/analytics/answer/10596866), Think with Google – What is incrementality? (https://www.thinkwithgoogle.com/marketing-strategies/data-and-measurement/what-is-incrementality/), Meta – Conversion Lift (https://www.facebook.com/business/help/294516419058121), Marketing mix modeling (https://en.wikipedia.org/wiki/Marketing_mix_mod [...]