5 October 2026
AI share of voice
AI share of voice means Artificial Intelligence.
AI share of voice
How to measure and improve your AI presence in search
AI share of voice means Artificial Intelligence. SaidTrue gives visibility reports for a website’s presence in AI search so you can see how AI systems describe, recommend and sometimes misread your business.
What AI share of voice means for SaidTrue
What AI share of voice means for SaidTrue is defined as Artificial Intelligence. What SaidTrue does with that definition is run visibility checks that show how AI systems talk about your website, and present that output as a report you can use to prioritise fixes.
How SaidTrue measures AI presence and what a report shows
How SaidTrue measures AI presence is by asking ChatGPT, Gemini, Perplexity and Claude the questions customers already ask and collecting the answers, sources and points of disagreement. How a SaidTrue report presents those results is as a visibility report and scorecard that highlights what was said, what sources were cited, and where the AI output diverges from the facts on your website.
How to read a SaidTrue visibility report
How to read a SaidTrue visibility report is to treat each AI engine’s output separately, then compare them: note which engines mention your business, which facts are sourced and which assertions are unsupported. How to prioritise items in the report is to rank issues by how often they appear across engines and by whether they involve factual errors (incorrect address, services, reputation claims) or simply missing information.
Practical steps to act on SaidTrue findings
Practical steps to act on SaidTrue findings are to correct factual errors on your own website and in public profiles, publish clear, authoritative pages that answer common customer questions, and use consistent citations so AI systems can find trusted sources. Practical steps also include claiming the verified AI profile and enrolling in monthly AI monitoring if you want regular tracking of changes in AI output.
Key metrics and cadence to track with SaidTrue
Key metrics and cadence to track with SaidTrue include the presence of your business across scanned AI engines, the frequency of factual errors or unsupported claims, and the trend in your visibility scorecard over time. Key metrics should be checked on the cadence you choose—SaidTrue offers a free scan and a monthly monitoring option for ongoing visibility tracking.
Making a confident decision about using SaidTrue
Making a confident decision about using SaidTrue comes down to whether you need visibility into how major AI systems present your business: if customers increasingly ask AI for recommendations, SaidTrue’s visibility reports let you see and prioritise the corrections AI repeats. Making a confident decision also means using the free scan to view a sample report and deciding whether regular monitoring and a verified AI profile match your ongoing needs.
Common questions
What engines does SaidTrue scan and report on?
SaidTrue scans ChatGPT, Gemini, Perplexity and Claude and reports each engine’s answers, the sources they cite, and where their answers diverge from your website’s facts.
How should I prioritise fixes shown in a SaidTrue report?
Prioritise fixes that appear across multiple AI engines and that involve factual errors affecting customer decisions—address incorrect contact details and service descriptions first, then add authoritative content for common queries.
How often should I monitor AI visibility with SaidTrue?
Monitoring frequency depends on how fast your information changes and how much AI-driven discovery matters to you; SaidTrue offers a monthly monitoring option for regular checks and a free scan you can run at any time.
Will correcting things on my website immediately change what AI says?
Correcting your website improves the evidence search engines and models can cite, but changes in AI outputs can take time as models are retrained or external citation signals update; ongoing monitoring with SaidTrue shows whether corrections appear in subsequent scans.
How SaidTrue approaches AI share of voice
At SaidTrue we treat the phrase AI share of voice as "Artificial Intelligence". Our work starts from that definition and follows directly from it: we measure what AI systems say about a business, and we report where those statements come from, how they are sourced, and where they diverge from fact.
Common problems customers bring us
Customers typically arrive with three frustrations: they cannot see what customers are being told by AI engines, they discover contradictions between AI answers and their own facts, and they lack a repeatable way to monitor change. Many local and web-first businesses know Google’s role in discovery, but find that AI assistants are becoming an independent front door to customers.
Our method — step by step
We start with a direct scan of major conversational engines — for example ChatGPT, Gemini, Perplexity and Claude — asking the same customer-style questions those engines receive and capturing the generated answers, sources and citation patterns. This is followed by a visibility analysis that maps which answers mention the business, where they sourced information, and where attribution or facts are wrong. We score the answers and present a visibility report that shows what was said, what was sourced, and where the truth diverges. For ongoing work we offer monitoring and a verified AI profile so changes can be tracked over time.
How we prioritise fixes
We focus on gaps that matter to real customer decisions: misidentification, missing attribution, and incorrect operational details. Where visibility is tactical, we target the specific prompts and source patterns that feed the AI answers.
Typical outcomes clients see
Clients receive a clear baseline visibility report and a prioritized list of mismatches between AI output and the business’s facts. Over time the usual outcomes are fewer factual errors in AI answers about the business, clearer sourcing where AI references external material, and improved presence in the monitored answers. As one industry write-up puts it, AI share-of-voice can act as a useful metric or "North Star" for visibility work, because it ties mentions in AI answers to the broader growth agenda (OptimizeGEO, "AI Share of Voice: Ultimate GEO Metric for Growth", https://www.optimizegeo.ai/blog/ai-share-of-voice).
Sources and supporting material
Further reading: