Coverage

3 AI engines tracked today. The ones that move buying decisions.

No model provider can show you how their competitors talk about your brand. Aeoniti is the only neutral observatory that watches the three engines where buyers ask product questions — ChatGPT, Gemini, and Google AI Overview. Other engines are on the roadmap with no committed dates: we add them when customers tell us their buyers actually use them.

Live engines

Engine Vendor Model Via Notes
ChatGPT OpenAI openai/gpt-5.4-nano OpenRouter Probed via OpenRouter
Gemini Google google/gemini-3.5-flash OpenRouter Probed via OpenRouter
Google AI Overview Google perplexity-sonar (AIO proxy) Perplexity Sonar Same brand-mention coverage as direct SERP-API at roughly 25% of the cost

Roadmap — no committed dates

We add engines when customers tell us their buyers actually use them. These are the next candidates — listed for transparency, not as a launch promise.

Engine Vendor Model Notes
Claude Anthropic claude-haiku-3.5 Subject to API availability + customer demand
Grok xAI grok-4 Subject to API availability + customer demand
DeepSeek DeepSeek deepseek-v3.1 Subject to API availability + customer demand
Llama Meta llama-4 Subject to API availability + customer demand

Why so few engines?

Because more engines doesn't mean better data. We probe the three engines where commercial-intent buyers actually ask product questions today. Adding a fourth engine that 0.3% of your buyers use just adds cost — to us, and to the LLM cost cap on your bill. When that changes, we change.

Engine you want covered? Email [email protected] with the model card link and the buyer use-case.

Why coverage is the moat

Every new AI engine that ships strengthens Aeoniti's moat without us doing anything. OpenAI will never benchmark itself against Google; Google will never benchmark itself against OpenAI. The third-party neutral position is the only one that gets to compare them — that's our position by structural necessity.

As the AI landscape fragments — and it will, dramatically — the value of a single observatory that watches every assistant grows. Today we cover 3. We add engines on the buyer-evidence trigger, not on the press-release trigger. Single-vendor dashboards can't catch up — they're structurally locked into one model family.