r/LLMO_SaaS

📉 Reddit.com pierde el 74,4% de sus citas en ChatGPT.
En solo un mes.

Analizamos las citaciones de reddit.com en ChatGPT del 20 de julio al 19 de agosto.

La caída no es gradual.
Se concentra en los últimos días del periodo.

La foto es de un proyecto en concreto. Pero pasa en todos los que estamos monitorizando (+300).

Esto confirma algo que venimos midiendo en GEO Metrics:

Los modelos ajustan qué fuentes citan sin previo aviso.

Una estrategia de visibilidad en IA que dependa de un solo dominio es una estrategia frágil.

Si tu marca aparece citada sobre todo vía Reddit, este es el momento de revisar tu mapa de fuentes.

¿Notaste este cambio en tu panel? ¿A qué crees que se debe?

We track AI brand visibility, so we have a lot of stored responses. Wanted to answer something basic: when an AI answers a question, how many brands does it actually name?

234,000+ responses, March 1 to July 13, 2026, five engines.

Brand mentions per response (last 14 days in July)

• ChatGPT: 4.5
• Google AI Overview: 3.5
• Gemini: 3.5
• Google AI Mode: 3.2
• Perplexity: 2.7

Count each brand only once per answer, and it tightens to 2.2–3.3. So engines repeat themselves 1.2x to 1.4x.

Two things stood out:

Every engine is down since March. True whether you count every mention or each brand once, so it's not a repetition artifact.

AI Mode is wildly unstable. Day-to-day swings are 31% of its own average, vs 9% for ChatGPT. It went from 8.8 mentions per response in early May to 2.6 six weeks later. If you spot-check visibility there weekly, you're mostly reading noise.

Method: a "mention" counts every occurrence (Nike named 3x in one answer = 3); the distinct count treats it as 1. Same responses for both. Worth noting these are prompts our customers chose to track rather than a random sample of AI queries, so I'd trust the relative comparisons and trend direction over the absolute numbers.

Charts and full methodology: https://vercite.io/research/engine-personalities

Happy to get into how anything was counted.