AI Visibility API for brands and sources
AI Optimization API capabilities
Research AI mentions, cited pages, estimated prompt demand and generated responses. Compare official model output with consumer-interface answers and follow visibility over time.
Search mentions for brands, keywords and domains across supported AI-answer data. Inspect the prompt, response and citation context before interpreting visibility.
Illustrative response fields
Use historical data, time-series changes and new/lost mentions to investigate shifts in AI visibility. Compare compatible periods and entity definitions.
Brand mentions
Scope depends on source and route
Research estimated AI keyword volume and available historical patterns. Keep estimated demand distinct from exact user counts and traditional search-engine keyword metrics.
Run prompts through supported model APIs and preserve model and request options. Use response and model endpoints to build a repeatable comparison workflow.
Collect supported consumer-interface answers in structured or HTML formats. Preserve market settings and citations; official API output and consumer-interface output can differ.
Investigate brand, product and domain visibility in indexed AI answers. Review the prompt, answer context and cited pages before interpreting a mention.
Use target metrics, multi-target comparisons and top mentioned pages or domains to understand how brands and sources appear across supported AI data.
Use AI Keyword Data to investigate estimated search volume and historical demand. Keep the model, market, time period and estimate methodology distinct from exact user counts.