MAXAEO vs Synthetic Users

MAXAEO helps brands get cited and recommended when buyers ask ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews for answers. It is built for CMOs and marketing leaders who need visibility in the AI answer layer, not just traditional search rankings. The goal is simple: when someone asks an AI engine who to trust in your category, your brand is the one it names.

The consultancy specializes in Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Senior strategists run authority audits, engineer brand entity signals, and reshape content so AI engines can extract, cite, and recommend it. Work spans Google AI Overviews, ChatGPT, Perplexity, Claude, DeepSeek, Grok, Mistral, and other major answer platforms.

MAXAEO also ships a free GEO toolkit with generators for llms.txt, robots.txt, JSON-LD schema, Open Graph tags, and humans.txt. These are quick-start utilities for technically skilled teams, while the core offering remains hands-on strategic consulting with live share-of-voice tracking.

It fits B2B brands competing in categories where AI search is already reshaping discovery, especially teams that want measured citation share and displacement of competitor answer slots rather than keyword rank reports alone.

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.