"Under the Hood" of AEO Pluse

One of the biggest challenges with Answer Engine Optimization (AEO) is that there isn't a single "Search Algorithm" anymore. ChatGPT thinks differently than Claude, and Perplexity surfaces different results than Gemini.

To give you an accurate picture of how AI perceives your brand, we realized we couldn't just use one model. Here is how AEO Pluse actually works under the hood:

1. The Multi-Model Consensus : When you run a report, we simultaneously ping 8 different models (ChatGPT, Claude , Perplexity Sonar, Llama , DeepSeek, Gemini , Qwen, and Nemotron). We test each model's independent knowledge of your brand to calculate a true, aggregated "AI Visibility Score."
2. Walled-Garden Grounding: To find out what real humans are saying, we use live Search Grounding to scrape qualitative sentiment specifically from sites like Reddit, LinkedIn, X, TikTok, etc.
3. The Strategist: We feed all of this raw data into out backend server to synthesize your actionable playbook, radar charts, and content gaps.

Question: We currently track visibility across 8 distinct LLMs. Which "Answer Engine" (e.g., Perplexity, SearchGPT, Gemini) do you think will drive the most high-intent traffic in 2026?