Pepper (formerly Pepper Content) vs Synthetic Users

Pepper runs end-to-end organic growth programs for enterprises, covering SEO, content production, creative, and generative engine optimization (GEO). Brands work with Pepper to get found on Google, YouTube, and AI answer engines like ChatGPT, Gemini, and Perplexity, with a dedicated growth team accountable for traffic and visibility outcomes rather than hourly deliverables.

Most agencies split SEO, content writing, and creative into separate vendors with separate dashboards. Pepper unifies strategy, production, and measurement in one stack. Its Pepper GEO product tracks brand mentions and domain citations across six AI platforms using more than 10 million buyer-intent prompts, then pairs those insights with Atlas, an agentic workflow layer that speeds research, drafting, and optimization.

The service fits B2B and enterprise marketing teams that need blogs, whitepapers, case studies, video, and localized pages at scale without building a large in-house department. Pepper draws on a vetted creator network it calls the top 1% of industry specialists, plus more than 5,000 subject-matter experts, working inside AI-assisted workflows the company says run about 10x faster than traditional agency handoffs.

Named clients on the site include Amazon, Google, Atlassian, ClickUp, HSBC, Unilever, and Sprinklr. Pepper reports 250+ enterprise accounts and more than 2,500 companies served overall.

Synthetic Users is an AI user research platform that runs qualitative interviews with simulated participants instead of recruiting live panels. You define a target audience with demographics, behaviors, and psychographics, plan a study, and get structured insight reports in minutes rather than weeks.

The platform uses a multi-agent architecture where each synthetic participant develops an OCEAN-grounded personality profile and keeps context across the full interview. Studies can include concept testing, problem exploration, custom script interviews, and RAG-grounded sessions fed with your own transcripts, support tickets, or customer data.

Synthetic Users positions itself as a discovery co-pilot, not a replacement for organic research. Teams use it to map problem spaces early, test messaging before launch, and run validation between traditional research cycles. The company cites 85 to 92 percent synthetic-organic parity in independent comparison studies and publishes methodology openly on its science hub.