Scrunch offers two primary APIs to help teams measure and operationalize brand visibility across AI platforms:
Both APIs cover major LLMs and include 90-day historical data. Scrunch also provides endpoints to programmatically update brand context and competitors, and to submit website audit requests.
Competitor analysis for tracked prompts
Responses API (raw data)
These datasets power analytics to understand how AI platforms present your brand versus competitors, where you’re cited, and how sentiment trends over time, so you can quantify the impact of AI on brand visibility.
curl -H "Authorization: Bearer ${SCRUNCH_API_TOKEN}" \
https://api.scrunchai.com/v1/${BRAND_ID}/query?fields=brand_presence_percentageScrunch automatically begins collecting responses once you create a brand and add prompts: - Smaller organizations: expect initial data within 20–60 minutes. - Larger organizations: allow up to 12 hours for initial collection.
Scrunch bills based on the number of AI responses collected—not API call volume. Costs scale with the number of brands, prompts, and AI platforms you choose to track.
The Query API is designed to feed aggregated metrics into common BI and analytics tools for automated reporting and dashboards. You can also use the prebuilt Scrunch Looker Studio template to visualize key metrics (brand presence, sentiment, citations, and competitor analysis) out of the box.
Scrunch tracks brand presence by collecting actual AI responses from all major AI platforms and detecting explicit brand mentions using pattern matching validated against continuously updated response datasets. This approach, combined with 90-day historical coverage, supports reliable measurement across platforms and prompts.