How does AIQ track narratives across multiple AI platforms simultaneously?

AIQ tracks narratives across multiple AI platforms by running identical prompts against the eight engines it currently tracks in parallel, then showing the differences directly. What makes that useful is the source-level diagnostic sitting next to the comparison view.

For every topic, the same prompts run against ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode at the same time, so the responses are directly comparable.

What the parallel, multi-model view shows

• Side-by-side responses. The multi-model comparison view places each engine’s answer next to the others, so the differences are easy to see – when ChatGPT tells one story and Gemini another, both are on screen at once.
• Per-engine source attribution. Next to the comparison view, the platform shows which sources each engine is pulling from. This is the part a team can act on: it shows not just that engines differ, but why.

Why per-engine differences matter

A brand is rarely described the same way across the leading AI engines. The picture is usually mixed, and what you can change to improve it differs from engine to engine. By showing the differences and the sources behind them, AIQ gives a comms team what it needs to decide what to do, and where.