Pepper launches Atlas to help brands track visibility across AI search

Pepper has launched Atlas, a generative engine optimization platform that monitors enterprise brand visibility across ChatGPT, Gemini and Google AI Overviews. The company says it tracks more than 10 million prompts and serves 250-plus enterprises, including ITC, NPCI, PhonePe, Coca-Cola and Unilever.

— Source publishedWed, 22 Jul, 2026, 15:12 IST·First seen Wed, 22 Jul, 2026, 15:16 IST·Source Forbes India

What happened

Pepper launched Atlas, a generative engine optimization platform that tracks enterprise brand visibility across ChatGPT, Gemini and Google AI Overviews. Its

Key facts

  • More than 250 enterprises
  • More than 10 million prompts tracked

Why this matters

Retail, marketing-data and SEO platforms should assess partnerships or acquisitions in AI-visibility measurement as brand discovery shifts from ranked links to answers generated by ChatGPT, Gemini and Google AI Overviews.

What to watch

  • Material referral-traffic reporting from ChatGPT, Gemini or AI Overviews that enables conversion attribution.
  • Google, OpenAI or other platforms introducing paid placement, brand controls or verified merchant feeds within AI answers.
  • Evidence that AI-answer citations materially shift traffic away from brand sites toward retailer and marketplace listings.
  • Major CPG, beauty, electronics or retail advertisers publicly reallocating search or content budgets to GEO.
  • Industry standards for prompt sampling, citation measurement, answer share and AI-discovery attribution.
  • Regulatory or platform restrictions on prompt monitoring, scraping or use of competitor visibility data.
  • Brands will audit whether AI assistants cite their owned sites, retailer product pages, marketplaces, reviews or competitor sources for high-intent category prompts.
  • SEO agencies and martech vendors will package GEO services around structured product data, authoritative content, review generation, digital PR and prompt-level monitoring.
  • Consumer-goods companies will prioritize product attributes, ingredients, pricing, availability and comparison content that AI systems can retrieve and summarize accurately.
  • Retailers and marketplaces will seek to make product catalogs, inventory signals, ratings and seller information more legible to AI crawlers and answer engines.
  • Marketing leaders will create AI-discovery KPIs alongside organic share of search, including answer inclusion, citation share, recommendation rank and sentiment.

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