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AI search reshapes brand discovery as RateGain claims 40-50% ad uplift; agent-led commerce seen 2-3 years out
RateGain has data partnerships with almost 300 brands, CMD Bhanu Chopra said on NDTV Profit's The Hook, claiming uplifts of around 40% to 50%. Aarti Samant predicted agent-led commerce could develop over the next two to three years.
The numbers
Figures from NDTV Profit
| Example shopper query budget: | Rs 3,000 |
|---|
Also in the report
- Agent-led commerce development window: next two to three years
Why it matters for the brand
Treat RateGain's claimed 40-50% ad uplift as an unverified vendor figure, so run a small controlled test before shifting budget, and begin structuring product and brand data so it can be read by AI search and, within two to three years, by shopping agents.
What to track next
- RateGain publishing named case studies or methodology behind the 40-50% uplift
- Independent or third-party measurement of AI-search ad performance
- Announcements from major AI platforms on shopping or ad formats inside answers
- Brand disclosures of budget shifts toward AI-search discovery
- Early agent-led checkout pilots from retailers or AI platforms
Likely next moves
Our read of what comes next — analysis, not reported by the source.
- RateGain is likely to keep repeating the ~300 brand partnerships and the 40-50% uplift claim in interviews and investor communications, and to try to attach named brand case studies to it.
- Rival martech and ad-tech vendors may put out their own AI-search or generative-engine optimization performance claims to avoid ceding the narrative.
- Brands are likely to run limited AI-search advertising pilots and compare the results with their existing search and marketplace spend before committing larger budgets.
- Expect AI platforms and search providers to keep expanding how products and ads surface in answers, which would make agent-led commerce more plausible over the two-to-three-year window.
- Analysts and advertisers may press for the baseline and methodology behind the uplift figure before treating it as a benchmark.
The source
First seen