ReSO AI

ReSO AI is a generative engine optimization platform that helps brands get discovered and recommended when customers ask AI. It is built for founders, CMOs, and growth teams who want to turn buyer intent expressed in ChatGPT, Perplexity, and Google AIO into visibility, citations, and traffic. Rather than simply tracking where a brand appears, ReSO analyzes intent, competitors, content gaps, and technical issues, then turns those findings into priority actions that can improve how AI platforms mention, cite, and recommend the brand. Onboarding the ReSO agentic employee is presented as the starting point: a buyer searching on ChatGPT should receive an answer that recommends your brand. Buyer behavior is shifting toward AI-led discovery, and the product states that in 2026 AI will dictate discovery. Buyers increasingly research on ChatGPT rather than on traditional search result pages, which means a brand that is absent from AI answers can lose influence before a prospect ever reaches its website. Traditional SEO tools were built to track keyword rankings, not to decode the intent behind the questions people ask large language models. ReSO positions itself against that gap, offering a way to understand how LLMs interpret intent, what they cite in a category, and which technical signals limit a site's ability to be read and trusted by AI systems. The discovery side of the platform is built on a proprietary intent model that analyzes 30+ intent-driven search variables to decode what customers are looking for. It maps those variables to real buyer queries on AI and organizes them by stage, including Discovery, Feature Comparison, and Persona, where Discovery covers the exploratory phase in which people look for the best options, trends, and possibilities before narrowing down what fits their needs. Users can curate a list of 75 high search intent-based prompts, track brand share of voice across the entire awareness-to-conversion funnel, and map their visibility against competitors so they can see where they are mentioned and where rivals are recommended instead. Content creation is handled through citation intelligence. Each piece of content is built around signals that influence AI visibility: prompt trends, citation behavior, and content gaps across the category. The platform supports a consistent weekly publishing cadence, a 100% customized content strategy intended to make the brand a category leader on LLMs, and content created in formats that improve mention potential. This matters because getting cited by AI search engines requires clear, authoritative answers, strong entity signals, useful source material, and structured content that AI systems can interpret easily, so the content work is aimed at the sources and authority signals that AI platforms actually draw on. A third pillar is the technical engine, which audits the technical issues that affect how AI systems and search engines access, interpret, and trust a website. It delivers technical edits intended to increase LLM visibility, entity mapping and code-level changes to make the website AI-readable, and improvements to discoverability across search platforms. Because AI systems must be able to reach, parse, and trust a site before they can cite it, these fixes complement the content and prompt work rather than standing alone. Overall, ReSO replaces the work of an SEO agency with an agentic employee that handles the process end to end, and it is designed to replace agencies, consultants, and fragmented internal workflows with one system. Its methodology is to measure first, through an AI visibility check, then act on the gaps it finds in brand presence, content, technical setup, and competitive positioning, and then keep publishing and optimizing on an ongoing cadence. The platform states that it works alongside traditional SEO while extending visibility into AI search, combining content, technical optimization, authority, and AI visibility tracking so that both traditional search and AI platforms are addressed inside one search visibility strategy instead of treating AI search as a separate channel. Reported outcomes from the company's own case studies include a 3X traffic increase from LLM-driven search, a +38% month-on-month citation growth, a +25% signup conversion directly from ChatGPT referrals, and a +30% quarter-over-quarter visibility score growth. A publicly listed fintech in India, SMC Global, saw a 132% increase in clicks from ChatGPT, a 162% increase in website clicks up from 37,200, and a 516% increase in impressions up from 923,000. An HRTech EoR platform achieved a 12X increase in citations from LLMs in three months, a 364% increase in blog traffic from 824 to 3,825 monthly clicks, a 5x increase in AI mentions from 10 to 50, and a 41% increase in AI visibility up from 8%. A US-based LegalTech company recorded a 92% increase in brand mentions up from 288, a 60% increase in total traffic up from 23,400, and a 55% increase in impressions up from 2,080,000. Concrete workflows described in the content include improving a brand's visibility in ChatGPT by identifying the questions buyers ask LLMs and where the brand currently appears in those answers, then prioritizing the pages, topics, and site improvements most likely to increase mentions and recommendations. Another is getting cited by AI search engines by analyzing which sources AI platforms cite in a category, finding gaps in content and authority signals, and optimizing the website accordingly. A third is competitive analysis: measuring share of voice across intent-driven prompts, seeing where competitors are mentioned or recommended, and locating the buyer-intent stages with the largest visibility gaps. The Discovery stage content shows the exploratory questions buyers ask, such as the best budgeting apps for managing personal finances, the best fitness trackers for everyday use, or the best tools for automating B2B lead qualification, which illustrates the kind of prompt-level work the platform supports. ReSO is aimed at founders, CMOs, and growth teams across high-growth startups and enterprise, and it is described as trusted by founders and CMOs. Its content highlights B2B brands in particular, noting that B2B buyers increasingly use ChatGPT, Perplexity, or Google AIO to research solutions, compare vendors, and shortlist providers, and that the platform also serves verticals such as fintech, HRTech, and LegalTech. Access begins with an AI visibility check from the onboarding flow, and the brand offers a detailed AI visibility analysis across brand, content, technical setup, and competitive gaps, stated as worth $500 at no cost for the time being, with no credit card and no commitment required to get started. The platform notes that AISO, GEO, AEO, LLMO and similar terms overlap, with AISO focused broadly on AI search, GEO on generative engines, AEO on direct-answer visibility, and LLMO on large language models, while the underlying goal is the same: making a brand easier for AI platforms to understand, mention, cite, and recommend. In short, ReSO AI's core value proposition is turning AI answer engines into a growth channel: it shows brands how LLMs see them, why competitors are recommended instead, and what to change in content and on-site technical signals so that the brand becomes the one AI recommends to buyers.