AI reputation and Brand monitoring Through AI visibility Audits
AI Visibility Audits
An AI Search Visibility Audit is a comprehensive, data-driven assessment that uses artificial intelligence to evaluate how visible and optimised a website is for Generative Engine Optimisation (GEO). An AI Search Visibility Audit identifies how effectively your website’s content, structure, and authority align with the new ways generative AI systems gather, interpret, and present information.
How does it work?
By running 30–50 realistic prompts a potential buyer might ask in ChatGPT, Copilot and Perplexity (e.g., “Who’s the best provider in the South West for organic produce”). We are able to see appearance, ranking/position, and sentiment for a company within AI engines. We than process this data through three main calculations that we turn that into a clear visibility score, and identify strengths and weaknesses of the companies.
By using machine learning to analyse your competitors’ performance and your existing impressions within generative engines, the audit reveals where and why your brand may be missing visibility in AI-powered search results. For example, it might identify that your site lacks authoritative mentions, semantic consistency, or sufficient E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals- all of which affect how AI models decide which sources to use. The audit can also uncover opportunities for structured data enhancement, such as schema markup and knowledge graph optimisation, which help AI systems interpret your information more confidently and display it accurately in rich, contextual results.
Overall by identifying the extent of visibility of your company within these LLMs and through a number of metrics our company uses of rating the level of AI visibility that your company currently holds, we are able to trace back and understand what issues may cause a lack of impression with generative engines.
We are offering this service at first for free, as a way to contribute to helping businesses understand their current position within generative engines.
AI reputation and Brand Monitoring
AI Reputation and Brand Monitoring is a crucial component of Generative Engine Optimisation (GEO) because it helps businesses maintain, protect, and enhance how AI-driven search systems and generative models perceive and represent their brand across the web. In the age of AI-powered search assistants, such as Google’s Search Generative Experience (SGE), Bing Copilot, Perplexity and ChatGPT’s retrieval-augmented browsing, search visibility isn’t just about keywords or backlinks- it’s about trust, credibility, and sentiment. These AI systems generate answers by analysing brand mentions, reviews, citations, and user sentiment across a wide range of data sources. Therefore, managing your brand’s digital reputation directly influences how these systems evaluate, summarise, and recommend your business in generative responses.
At its core, AI Reputation and Brand Monitoring involves continuously tracking how your business or entity is being referenced, described, and discussed across online platforms- including social media, news sites, reviews, blogs, and forums- and how those mentions align with your brand’s factual data and entity identity. By monitoring this data, you can detect and address inaccurate information, negative sentiment, or unverified claims before they damage your credibility in the eyes of AI systems. Because generative search models rely heavily on aggregating and cross-verifying data from multiple trusted sources, inconsistencies or negative trends can lead to reduced visibility or even misinformation being surfaced in AI-generated summaries.
In terms of GEO benefits, a well-managed AI reputation helps strengthen your entity authority- the measure of how trustworthy and established your brand appears to generative engines. When AI models see consistent, positive brand mentions supported by accurate citations and structured data, they’re more likely to categorise your brand as a reliable and authoritative source. This makes it far more likely for your business to appear as a referenced entity or recommended brand within AI-generated answers, product comparisons, and conversational responses. For example, if a user asks, “What’s the best digital agency for local SEO?”, AI systems will prioritise entities with strong, verified reputations supported by positive sentiment across multiple channels.
AI Reputation Monitoring also enhances E-E-A-T signals (Experience, Expertise, Authoritativeness, and Trustworthiness), which generative engines now use to decide what information to surface in synthesised answers. Regularly tracking how your brand performs in these areas- through customer reviews, influencer mentions, expert citations, and public sentiment- allows you to proactively strengthen your perceived authority and trustworthiness in the data ecosystem.
In addition, reputation data can feed into predictive optimisation. By analysing patterns in sentiment, engagement, and visibility, you can anticipate how future AI model updates or generative experiences might interpret your brand. This foresight allows you to refine your content, PR, and citation strategies to stay ahead of algorithmic changes.