About SearchScore
SearchScore measures how well businesses are positioned to be discovered, understood and recommended across AI search, traditional search engines and their own websites. It combines website analysis across 300+ signals with research into the questions prospective customers ask AI, helping businesses see what is holding them back, which brands appear instead and what to improve next.
More than 1 million websites have been analysed using SearchScore. The platform covers three connected parts of customer discovery: AI Search visibility, SEO and website conversion.
What SearchScore does
AI Search visibility. SearchScore measures whether businesses are mentioned or recommended in AI-generated answers. Research can include ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek and Google AI-powered search experiences. Rather than relying on a single generic prompt, SearchScore can research commercially relevant questions that prospective customers could ask when looking for a business, service, product or recommendation.
Search engine optimisation. SearchScore analyses technical and on-page factors that affect whether a website can be discovered and understood by search engines, including site structure, content, metadata, crawlability, structured data and other SEO signals.
Website conversion. SearchScore also analyses factors that can affect whether website visitors take the next step, including calls to action, trust signals, page structure and contact journeys.
Ongoing visibility tracking. SearchScore can monitor important customer questions over time so businesses can see changes in AI mentions, recommendations and visibility rather than relying on a one-off check.
Website Audit and Fix List
The SearchScore website audit analyses a site across 300+ signals covering AI visibility, SEO and conversion. The checks are turned into a prioritised Fix List designed to answer a practical question: what should I fix first?
The AI Search portion of the audit covers areas including AI Citability, EEAT Content, AI Platform Readiness, Structured Data, Technical SEO, Brand Authority, Topical Authority and Platform Optimisation. The wider audit spans 23 categories across AI Search, SEO and Conversion.
See the SearchScore methodology or run the free audit.
AI Visibility Playbook
The AI Visibility Playbook is SearchScore's deeper research product. It researches 10 commercially relevant customer questions across 8 AI and AI-powered search experiences, with two independent runs of each question, producing 160 searches for a business.
SearchScore analyses those results to identify whether the business appears, which competitors or alternatives appear instead, which websites and sources are associated with the answers, where visibility opportunities exist and which actions should be prioritised.
The purpose is not to hand a business 160 raw answers. The Playbook turns the research into a practical plan showing what to do next and why.
AI Visibility Tracker
AI-generated answers change. The SearchScore AI Visibility Tracker monitors selected customer questions over time and records how a business appears across supported AI systems. This helps businesses measure changes in mentions, recommendations and visibility after improving their website, content and wider online presence.
SearchScore for agencies and HighLevel
SearchScore gives agencies a way to use AI visibility, SEO and conversion data across prospects and clients. Its HighLevel integration brings SearchScore data into the CRM so agencies can analyse businesses, identify opportunities, prioritise prospects and use scores and findings within workflows.
Learn about SearchScore for agencies.
Who SearchScore is for
Business owners use SearchScore to understand whether customers can discover them through Google and AI systems and what they need to improve.
Marketing teams use it to measure AI visibility alongside SEO and website performance.
SEO and AI search professionals use it to research how brands appear across traditional and generative search.
Agencies use SearchScore to audit prospects and clients, identify opportunities, prioritise work and demonstrate measurable changes over time.
How SearchScore measures AI visibility
SearchScore does not treat AI visibility as a single permanent ranking. AI-generated answers can vary by question, platform and time. SearchScore therefore tests multiple commercially relevant questions across multiple AI and AI-powered search experiences, records which businesses appear and, where a platform exposes supporting sources, analyses the websites associated with those answers.
Repeated research and tracking provide a broader picture than a single AI response.
How SearchScore differs from a traditional SEO audit
Traditional SEO audits primarily examine factors affecting visibility in conventional search engines. SearchScore looks across a wider customer discovery journey: Can search engines find and understand the business? Can AI systems find, understand and recommend it? And when a prospective customer reaches the website, is the site positioned to convert them?
This is why SearchScore combines AI Search, SEO and Conversion rather than treating them as unrelated disciplines.
What SearchScore can and cannot tell you
SearchScore cannot control or guarantee an answer produced by ChatGPT, Gemini, Claude, Perplexity, Google or another third-party system. AI answers are probabilistic and can change.
SearchScore instead measures observable results and identifies weaknesses and opportunities in the website, content, technical structure, brand signals and supporting sources that can contribute to how a business is discovered and represented. Tracking can then show whether visibility changes over time.
Why combine website analysis with live AI research?
The two datasets answer different questions. A website audit asks, what does this business make available for search and AI systems to understand? AI visibility research asks, what are those systems actually saying when prospective customers ask relevant questions?
Combining them helps identify the gap between how a business presents itself and how it currently appears in search and AI-generated answers.
SearchScore methodology
SearchScore uses automated website analysis, structured checks and research across third-party search and AI systems. Because generative answers can vary, individual responses are observations rather than permanent rankings. Multiple questions, platforms, repeated searches and ongoing tracking provide additional context.
The methodology continues to evolve as search engines and AI platforms change. Read the methodology.
Frequently asked questions
What is SearchScore?
SearchScore is a platform for measuring and improving business visibility across AI search, traditional search engines and website conversion.
Can SearchScore tell me whether ChatGPT recommends my business?
SearchScore can test relevant customer questions against supported AI systems and record whether a business is mentioned or recommended in the returned answers.
Can SearchScore show which competitors AI recommends?
Yes. SearchScore's AI research can identify other businesses appearing in responses to the same customer questions.
Can SearchScore identify sources used in AI answers?
Where the relevant AI or search platform exposes supporting sources or citations, SearchScore can collect and analyse those sources.
Is SearchScore only for AI search?
No. SearchScore covers AI visibility, SEO and website conversion because discovery is only part of the customer journey.
Can agencies use SearchScore?
Yes. SearchScore includes agency functionality and a HighLevel integration for analysing prospects and clients and using SearchScore data in agency workflows.
The company
SearchScore was founded by Ronnie Huss. The product is developed in the UK and combines website auditing, AI visibility research and ongoing tracking.
Company and partnership enquiries: [email protected] or contact SearchScore.
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