How AI engines recommend brands to buyers across ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, and Mistral. Measure the gap. Deploy remediation. Trace every citation back to its source.
How AI engines describe, rank, hedge about, and source-cite candidates running for office. 500 data points per audit, with source provenance mapping, claim ledger, salience index, and hedge detection.
How AI engines represent corporate and executive reputations over time. Baseline sentiment tracking, week-over-week drift detection, crisis signal identification, and post-response verification.
Pricing below is for AI·subtext, the platform live in production today. NarrativeIQ and ReputationIQ are engagement-priced — contact us.
Your Recommendation Share and Subtext Score across all 6 AI engines, with a competitor breakdown.
Run free audit →Ongoing tracking, citation and attribution monitoring, and remediation content deployed to close the gap.
Get started →Everything in Full Loop across multiple brands, with category exclusivity and dedicated support.
Contact us →Google indexes ten blue links. AI answers with two to four options. When a brand isn't in the answer, the visit doesn't happen. The traffic doesn't arrive. The pipeline shrinks.
Quontora builds measurement, remediation, and attribution infrastructure for brands competing in that new layer. Not another dashboard. A closed-loop system that measures Recommendation Share, diagnoses the gap, deploys remediation, and traces every citation back to its source.
Run a free AI Recommendation Audit in 90 seconds. Score your Recommendation Share across the six AI engines your buyers actually use.
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