Citation Intelligence
Why Brands Choose Pepper?
Developed alongside more than 250 enterprises, Pepper’s GEO platform reveals where brands appear in AI search, why competitors gain an edge, and the next steps to take.
While others built a mirror, we built an engine that shows enterprises how AI perceives their brand, where rivals are pulling ahead, and the precise steps needed to boost visibility across AI search.”— Anirudh Singla, CEO, Pepper
SAN FRANCISCO, NJ, UNITED STATES, July 24, 2026 /EINPresswire.com/ — Pepper has introduced a generative engine optimization platform aimed at helping enterprises assess how their brands appear across AI search platforms, including ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
Over the past year, the platform was built through Pepper’s collaboration with more than 250 enterprises. It examines buyer queries across major AI engines, monitors shifts over time, contrasts brand visibility with that of competitors, and pinpoints the sources referenced in AI-generated responses.
The rollout reflects a wider transformation in digital discovery, as an increasing number of users turn to generative AI tools for recommendations, comparisons, and category research. In many instances, brands may continue to rank well in traditional search while being mentioned less often in AI-generated answers.
Pepper’s platform aims to close that gap by offering marketing teams a structured view of their performance in generative search.
Platform capabilities: The platform encompasses several key areas of analysis.
1. Brand Visibility measures how frequently a brand is referenced in AI-generated responses. Domain Coverage tracks how often the brand’s owned pages show up as cited sources across relevant buyer prompts.
2. The platform also detects which third-party websites, competitor pages, and review platforms are being cited by AI engines. This enables enterprises to see not only whether a brand appears, but also which sources are influencing how that brand is portrayed.
3. Themes and Prompts categorize queries by persona, topic, and stage of the buyer journey. This helps teams evaluate which conversations they are currently dominating, where competitors are more visible, and where gaps in information may exist.
4. The platform’s optimization layer converts those insights into a prioritized list of recommended actions. Each metric can also be traced back to the underlying AI-generated response for further examination.
Developed through enterprise deployments: Pepper’s GEO platform was originally created as an internal operating system for the company’s enterprise client work. The product was refined through live implementations across multiple industries and is now offered as a standalone platform.
According to Pepper, the system has analyzed more than 10 million prompts across major generative search engines.
“The brands feeling this shift first are large enterprises, the ones with the most to lose when an AI answer leaves them out,” said Anirudh Singla, Founder and CEO of Pepper. “We built our GEO platform while running GEO programs for some of the largest companies in the US and India. It is designed not only to show how AI systems represent a brand, but also to identify the actions required to improve that position.”
Pepper has applied its GEO methodology across markets including the United States, India, and the wider region.
The company has worked with brands across consumer, financial services, technology, and public-scale sectors. These include Central Garden & Pet, LendingClub, ZO Beauty, Coca-Cola, Unilever, ITC, NPCI, PhonePe, and Emirates NBD.
Each engagement has involved different search behaviors, competitive conditions, compliance requirements, and definitions of visibility. Pepper said this range of use cases informed the platform’s current structure.
Measuring AI search performance:
The platform evaluates three primary dimensions of AI search visibility. The first is whether an AI model mentions the brand in response to a relevant query. The second is whether the model cites the brand’s owned website as a source. The third is whether the brand appears consistently across multiple engines, prompt variations, and buyer contexts.
Pepper said these signals are intended to help enterprises distinguish between isolated visibility and sustained presence across generative search.
The company is positioning the platform as part of a broader enterprise workflow that connects analysis with execution. Insights from the system can be used by internal marketing teams or alongside Pepper’s strategy, content, SEO, and GEO services.
Kishan Panpalia
Pepper
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