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How AI search sees The New York Times

Independent measurement of The New York Times's visibility across ChatGPT, Claude, Gemini, Perplexity, Grok, and DeepSeek. Updated May 19, 2026.

Media PublishingUnited Stateswww.nytimes.com
60/ 100

AI Presence

AI Presence86

Mean per-engine brand mention rate

Key Prompts100

% of prompts where any engine mentioned the brand

Competitor Landscape38

Brand mention share vs competitors

Which AI engines recognise The New York Times

Each engine's mention rate across the 5 industry-specific prompts we ran.

  • OpenAI ChatGPT100
  • Google Gemini100
  • Anthropic Claude60

Industry prompts tested

We asked each AI engine these questions and measured whether The New York Times came up.

  1. 1

    What are the best sources for in-depth investigative journalism articles?

    100% mentioned The New York Times
  2. 2

    Can you recommend quality opinion editorials on current political issues?

    67% mentioned The New York Times
  3. 3

    Which news platforms offer the most reliable daily updates on global events?

    100% mentioned The New York Times
  4. 4

    What alternatives to traditional newspapers provide engaging photojournalism content?

    67% mentioned The New York Times
  5. 5

    Are there any reputable websites for exploring multimedia journalism features in the US?

    100% mentioned The New York Times

Competitor landscape

Companies AI engines mention alongside The New York Times when asked industry-relevant queries.

The New York Times · testedThe Washington PostBBC NewsReutersCNNBloomberg

Web presence for The New York Times

External footprint signals that AI engines tend to pull citations from. Average: 25/100.

Wikipedia
Found
Reddit
0
X (Twitter)
0
YouTube
0

How does YOUR brand compare to The New York Times?

Run a free AEO audit on your own URL and see your AI Presence score alongside The New York Times's 86.

This is an independent AEO analysis by FixAEO. The New York Times is not affiliated with, endorsed by, or has reviewed this report. Scores reflect our automated measurements on May 19, 2026. Methodology details: /methodology/.

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