AI Search Visibility measures how frequently and prominently a brand appears within AI-generated search results (e.g., ChatGPT, Gemini). Unlike traditional SEO, which focuses on ranking website links in search results, AI Search Visibility prioritizes brands appearing directly in Large Language Model (LLM) conversational responses.
While traditional search once centered on Google rankings, the rise of Large Language Models (LLMs) has changed consumer behavior. Users now use LLMs to discover products and services, making LLM mentions a critical component of brand discovery.
Many LLM answers are generated based on content published by the partners that brands work with through the impact.com platform. Success now depends on identifying the right partners and optimizing content for these generative engines. To support this, impact.com has partnered with Evertune ![[External link]](https://paligoapp-cdn-eu1.s3.eu-west-1.amazonaws.com/impact/attachments/f01cdffa431a4d75ff09c130b66974d4-b8ebe06c75d53cc8d24756ae9b7589e2.svg)
to provide brands with actionable AI visibility insights.
Evertune is a pioneer in Generative Engine Optimization (GEO) and AI marketing. This partnership provides impact.com users with specialized AI Search Visibility Reports:
Evertune provides the data, tracking brand appearances across major LLMs and identifying the specific affiliate publishers influencing those results.
impact.com provides the activation platform, allowing brands to optimize their relationships with the publishers whose content LLMs prioritize.
The AI Score estimates the probability of an LLM recommending your brand, for example, when a user asks a general category question without mentioning your brand specifically. The AI Score is a proprietary metric from Evertune that combines two factors:
Visibility: How often your brand is mentioned in AI answers.
Rank: How high you rank compared to your category peers within the AI's response.
Evertune selects prompts based on market research and insights from EverPanel, which analyzes real-world LLM conversations.
Human-centric: Prompts mimic how actual consumers search within a category.
Intent-based: Because 80% of AI prompts are unique and conversational, prompts are clustered by intent and topic rather than static keywords.
Category-specific: Analysis includes an average of 10,000 custom prompts per category to ensure depth and relevance.
Brands use AI Search Visibility data to refine their partner strategy in several ways:
Recruit high-influence partners: Identify and form partnerships with publisher partners who are already highly cited by LLMs but are not yet in your program.
Optimize existing partnerships: Strengthen ties with current partners who have high AI influence.
Update cited content: Review highly cited articles where your brand is mentioned to ensure product information is current.
Earn new citations: Identify highly cited articles where your brand is not mentioned and collaborate with those publishers for inclusion.
Expand through sponsorship: Partner with influential publishers on sponsored content to increase your footprint in LLM training data.
Test and iterate: As the AI landscape evolves, use these reports to track the impact of your content adjustments over time.