How AI engines recommend brands to buyers across ChatGPT, Claude, Gemini, and Perplexity. 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.
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 four AI engines your buyers actually use.
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