ReSO AI is a generative engine optimization platform designed to improve brand citations, mentions, and recommendations across AI search engines through intent analysis, content creation, and technical audits.
What the product does and how it is positioned
ReSO AI operates as an agentic generative engine optimization (GEO) platform that analyzes how artificial intelligence systems discover, cite, and recommend brands. The system models buyer intent by processing more than 30 search variables, identifying high-intent prompt queries and comparing a company's share of voice against industry competitors throughout the buyer journey.
To address visibility gaps, ReSO AI combines automated discovery tracking with content planning and technical website enhancements. It identifies missing category topics, suggests structured content formats to increase citation likelihood, and audits technical site elements to implement entity mapping and code-level adjustments that improve machine readability.
Source-supported ways to use the product
Marketing teams assess how frequently their brand is mentioned or cited compared to competitors across AI search platforms.
Web teams audit code structures and implement entity mapping to ensure artificial intelligence crawlers can index and interpret domain content.
The official customer story reports that publicly listed fintech SMC Global used ReSO to grow clicks from ChatGPT by 132% and impressions by 516%.
The official customer story reports that an employer of record HRTech platform used ReSO to expand monthly citations from large language models twelvefold within three months.
ReSO AI structures its generative engine optimization through three primary operational components: the Discovery Engine, the Content Engine, and the Technical Engine. Together, these tools examine how buyers search within large language model interfaces rather than relying solely on traditional keyword volume.
The discovery layer assesses market prompts and tracks brand share of voice against competitors across each stage of the consideration funnel. The content and technical layers then identify missing citations and correct technical obstacles that impede AI engine parsing.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
ReSO AI uses a proprietary model that evaluates more than 30 intent-driven variables to determine user search patterns and curate a list of 75 high-intent prompts across the awareness-to-conversion funnel.
ReSO AI is designed to work alongside traditional SEO by combining content creation, technical optimization, authority signals, and visibility tracking across both traditional and AI-driven search environments.
Yes, ReSO AI evaluates brand share of voice across intent-driven prompts to show where competitors are mentioned or recommended and where visibility gaps exist in AI search.
The platform audits technical setup issues that limit discovery by AI systems, applying entity mapping and code-level updates to improve website readability and search engine interpretation.
ReSO AI identifies which third-party sources AI platforms cite within a specific category, discovers gaps in site authority and content, and recommends structured content formats to increase citation likelihood.
