ReSO AI
Get discovered and recommended when customers ask AI
About ReSO AI
ReSO AI works on the problem of being recommended by AI assistants rather than ranked by a search engine. Its starting observation is that large language models interpret intent rather than keywords, so the questions buyers actually ask are the unit of measurement, not search volume on a phrase. ReSO builds a set of buyer-intent prompts for your category, watches how often your brand appears against those prompts across ChatGPT, Perplexity and Google AI Overviews, and measures your answer share relative to competitors. It then acts on the result, producing content written to be cited and fixing the technical conditions that keep a site from being read and quoted by AI engines.
The category is usually called generative engine optimisation or AISO, and it is filling up quickly. What distinguishes ReSO commercially is that it publishes a real mid-tier price on its own page, which is rare in a field where most competitors route everything through a demo booking. A free one-off report on signup gives a baseline, six technical fixes and one blog written to be cited, which is enough to see the product's output before committing. Be aware that the headline metrics on the homepage, including a 3X traffic increase and 38 percent citation growth, are vendor claims published without methodology or sample.
The process begins with a baseline. On signup ReSO produces a no-cost AI visibility report showing how your brand currently appears when buyers ask AI assistants about your category, along with six technical fixes and one article.
From there the paid engagement tracks a defined prompt set. ReSO curates buyer questions, described as a list of high-intent prompts spanning the awareness-to-conversion funnel, and reports monthly on how often you are named, how your answer share compares with competitors, and where high-demand questions exist that no vendor currently owns.
Acting on that measurement is the third stage. ReSO produces AI-optimised landing pages and blogs built around the signals it says influence citation, including prompt trends, citation behaviour and content gaps, and works through technical readiness: schema aimed at AI extraction, render and index fixes, answer-blocking error repairs and internal linking for topic authority. The company positions this as replacing an SEO agency with an agentic employee rather than supplying a dashboard alone.
- •Multi-engine visibility tracking - monitors ChatGPT, Perplexity and Google AI Overviews on the published plan, with Claude, Copilot and Gemini added on the custom tier.
- •Buyer-intent prompt sets - 30 tracked prompts on the paid plan and 75 or more customisable ones on custom, scored against what the company describes as 30-plus intent-driven search variables.
- •Answer share against competitors - measures how often you appear versus named rivals, which is the metric that makes AI visibility comparable rather than anecdotal.
- •Citation and white gap analysis - surfaces high-demand questions no vendor owns yet, which is the actionable end of the measurement.
- •Content produced to be cited - AI-optimised landing pages, blogs, structured FAQ clusters and a recency refresh cycle, rather than recommendations you then have to implement.
- •Technical AI readiness work - schema built for AI extraction, render and index readiness, answer-blocking error fixes and internal linking, delivered as a roadmap on the higher tier.
ReSO suits B2B marketing teams and founders who can already see AI assistants shaping how buyers discover their category, companies whose competitors are being named in AI answers while they are not, and teams without an in-house SEO function who want measurement and execution from one supplier. The free baseline report makes it cheap to find out whether you have a problem at all.
It is clearly not for everyone. At $599 a month the first paid step is steep, and there is nothing between free and that figure, which rules out small teams and side projects. Companies with a strong in-house SEO team may want measurement only and will be paying for content production they do not need. Anyone who wants Claude, Copilot or Gemini coverage, multi-region tracking or competitor-level reporting is pushed into an unpriced custom tier, so the published number understates the real cost for larger scopes. The pricing table also does not name its plans, which makes comparison awkward. And the category itself is young enough that nobody, ReSO included, can yet prove durable causation between this work and revenue.
