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MethodologyPipelineAboutExplore Entidex

Entidex · Signal Layer

How fast do LLMs learn about real-world events?

We probe Claude, ChatGPT, Gemini, Grok and Perplexity at regular intervals and grade their answers against a known ground truth. The result is a live picture of LLM awareness lag — per model, per topic, with retrieval on or off.

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AMDARM HoldingsATP FinalsATP TourAWSAWS LambdaAdaptive SortAdidasAdobe After EffectsAdobe After EffectsAdobe Creative CloudAdobe Inc.

LLM awareness over time

Tracking awareness scores for American Academy of Arts and Sciences over recent probes.

02550751000probe #14
ClaudeChatGPTGeminiGrokPerplexity

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Entidex Pro tracks awareness lag, sentiment trajectory, intent shifts and citation gaps across every LLM that matters. Explore the platform →

Awareness Matrix

How well each LLM knows American Academy of Arts and Sciences — by topic and retrieval mode.

Last probed: 42h ago

General knowledge

ModelRetrieval OFFRetrieval ONUpliftLag (days)
●Claude8579-6—
●ChatGPT82820—
●Gemini8582-3—
●Grok82820—
●Perplexity85850—

Recent events

ModelRetrieval OFFRetrieval ONUpliftLag (days)
●Claude6979+10—
●ChatGPT7285+13—
●Gemini75

Current sentiment

ModelRetrieval OFFRetrieval ONUpliftLag (days)
●Claude8279-3—
●ChatGPT82820—
●Gemini8285
Score≥75≥50≥30>00● mentioned  ·  Uplift = ON − OFF  ·  hover score for probe age
85
+10
—
●Grok6272+10—
●Perplexity85850—
+3
—
●Grok3985+46—
●Perplexity85850—