ReSO AI

ReSO is a generative engine optimization platform that helps brands show up and get recommended in AI search results. 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. The product is pitched as an agentic employee you onboard so that your brand is recommended in the answer when buyers ask AI. Instead of only tracking rankings, ReSO analyzes intent, competitors, content gaps, and technical issues, then turns them into priority actions to improve AI recommendations. The site also invites visitors to check their AI visibility and to run a detailed AI visibility analysis across brand, content, technical setup, and competitive gaps worth $500 at no cost. The problem ReSO addresses is a shift in how buyers discover products. As the site puts it, your buyers are searching on ChatGPT, and in 2026 AI will dictate discovery. B2B buyers increasingly use ChatGPT, Perplexity, or Google AIO to research solutions, compare vendors, and shortlist providers. If a brand is absent from those answers, competitors can influence the buying journey before a prospect ever reaches the website. The FAQ frames the discipline as AI Search Optimization (AISO) and notes that AISO, GEO, AEO, and LLMO are overlapping terms for optimizing visibility in AI-generated answers: AISO focuses broadly on AI search, GEO on generative engines, AEO on direct-answer visibility, and LLMO on large language models. The same FAQ observes that most organizations still cannot clearly say how ready they are for AI search, which makes it difficult to identify gaps, prioritize investment, or measure progress. The core of the platform is a proprietary intent model mapped to real buyer queries on AI. ReSO says LLMs interpret intent, not keywords, and its proprietary model analyzes 30+ intent-driven search variables to decode exactly what customers are looking for. Users can curate a list of 75 high search intent-based prompts, view brand share of voice across the entire awareness-to-conversion funnel, and map visibility against competitors. The features section illustrates the Discovery stage of the buyer journey, described as exploration where people look for the best options, trends, and possibilities before narrowing down what fits their needs, with example prompts such as “Best budgeting apps for managing personal finances?”, “Best fitness trackers for everyday use?”, and “Best tools for automating B2B lead qualification?” Citation Intelligence helps create content that gets a brand mentioned by LLMs. Each piece is built around the signals that influence AI visibility: prompt trends, citation behavior, and content gaps across the category. The approach promises a consistent weekly publishing cadence, a 100% customised content strategy to become a category leader on LLMs, and content created in formats that improve mention potential. The site pairs this with an AI citation chat interface. The underlying logic described in the FAQ is that to be cited by AI search engines, a site needs clear, authoritative answers, strong entity signals, useful source material, and structured content that AI systems can interpret easily. ReSO analyzes which sources AI platforms cite within a category and identifies gaps in content and authority signals. The Technical Engine 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. Alongside these engines, ReSO presents a visibility dashboard: the imagery on the site shows a laptop user dashboard, a competitor gap view, a brand visibility score, and a “new opportunity found” alert. The platform is described as multi-platform search optimization, focused on how a brand shows up across AI search rather than a single engine. The workflow ReSO describes starts with onboarding the agentic employee and checking your AI visibility. From there, you identify the questions your buyers are asking LLMs and where your brand currently appears in those answers. ReSO maps high-intent prompts across the buyer journey, measures your share of voice against competitors, and identifies the content and technical gaps that may be limiting visibility. Those findings are converted into prioritized actions: the pages, topics, and site improvements most likely to increase brand mentions and recommendations. On the content side, pieces ship on a weekly cadence and are shaped by prompt trends and citation behavior; on the technical side, entity mapping and code-level changes are applied so the site is easier for AI systems to read and trust; and throughout, visibility against competitor mentions is tracked. ReSO reports multi-platform search optimization outcomes of 3X traffic increase from LLM-driven search, +38% citation growth month-on-month, +25% signup conversion directly from ChatGPT referrals, and +30% visibility score quarter-over-quarter growth. Three case studies are listed on the site. SMC Global, a publicly listed fintech in India, 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 EoR platform in HRTech 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 (up from 10 to 50), and a 41% lift in AI visibility (up from 8%). A US-based LegalTech company recorded a 92% increase in brand mentions (up from 288), 60% total traffic growth (up from 23,400), and 55% impressions growth (up from 2,080,000). The use cases described on the site center on buyer research and comparison. Buyers ask AI for the best budgeting apps for personal finances, the best fitness trackers for everyday use, or the best tools for automating B2B lead qualification, and ReSO aims to make a brand part of those answers. B2B teams use it to appear when prospects research solutions, compare vendors, and shortlist providers. Marketing teams use the weekly content engine to publish material shaped by prompt trends and citation behavior, and the technical engine to remove barriers to being accessed, interpreted, and trusted. Growth teams track whether their brand is mentioned or recommended versus competitors at each buyer-intent stage, and prioritize the biggest visibility gaps. ReSO is aimed at founders, CMOs, and growth teams, and says it is trusted by founders and CMOs across high-growth startups and enterprise; logos shown include SMC Global, Mountmiller, Dhisana, Boundless, Early, 5 Day, Gaia Dynamics, Sprouts, and Strong. The platform positions itself as a replacement for agencies, consultants, and fragmented internal workflows — “replace your SEO agency with an agentic employee” — while working alongside traditional SEO rather than replacing it. Getting started requires no credit card and no commitment, and the site offers a detailed AI visibility analysis across brand, content, technical setup, and competitive gaps worth $500 at no cost for now. Beyond the free visibility check, ReSO directs interested teams to book a call to hire an AI employee that grows their business. In short, ReSO's value proposition is turning AI search from guesswork into a measurable, actionable channel. It combines intent analysis across intent-driven search variables, a curated set of high-intent prompts, a weekly content engine, and a technical audit into one agentic employee, so brands can move from being overlooked in AI answers to being mentioned, cited, and recommended. For founders, CMOs, and growth teams who want to know how LLMs see their brand and what to do about it, ReSO offers both the diagnostic — a free AI visibility check — and the ongoing execution to improve it.