AI engines we track
AppearIn AI runs your prompts across the major AI answer engines and keeps the results separate, because the same question gets a different answer, and names different brands, depending on which assistant you ask.
The engines
| Engine | From | Why it matters |
|---|---|---|
| ChatGPT | OpenAI | The most-used assistant; its search mode cites live web sources. |
| Gemini | Tied into Google's index and surfaced through AI Overviews. | |
| Perplexity | Perplexity AI | Answer-first and citation-heavy; strong signal for which sources are trusted. |
Why engines disagree
Each engine is a different model, trained on different data, with a different way of pulling in live web results. One may lean on a review site you're absent from; another may favor official documentation. The result is that your Share of Voice can be strong on Perplexity and weak on Gemini at the same time, and an average across engines would hide that.
Treat each engine as its own channel
Just as you'd track paid and organic separately, track engines separately. The per-engine breakdown tells you where to focus: a citation-driven engine rewards being a trusted source, while a more training-driven one rewards broad, consistent presence across the web.The per-engine breakdown
Every metric in AppearIn AI, visibility, Share of Voice, sentiment, citations, is available per engine as well as rolled up. The breakdown view lines the engines up side by side so you can spot where you over- or under-perform and tailor your response to the engine that matters most for your customers.
The exact roster of engines can grow over time as new assistants gain meaningful usage. For how often each engine is queried and how answers are captured, see how we collect data.