AI Visibility

Create separate, auditable signals for each stage: AI retrievals (when AI pulls from your Q&A and Business Brain), conversation citations (explicit links AI presents in answers), referrals (AI-driven sessions that originate from those citations), and AI Overviews usage. Build lightweight dashboards for discovery, retrieval, citations, referrals, and outcomes, so you can demonstrate actual AI usage rather than mere indexing. Enforce governance that content …

AI referral traffic represents visits that originate from AI-driven recommendations or citations rather than traditional search clicks. To measure it, track signals such as referrals triggered by AI-cited content, conversation citations that point users to your material, and AI Overviews usage that reference your knowledge. Use separate OTC dashboards to keep discovery, retrieval, citations, referrals, and outcomes distinct. This separation helps you under…

A reliable measurement starts with observable, auditable signals beyond page visits. Track when AI retrieves and cites your approved content (retrievals and conversation citations), and when AI-driven referrals lead users to your material. Use a dedicated OTC dashboard to separate discovery, retrieval, citations, referrals, and outcomes, so you can verify that AI is using your knowledge rather than merely indexing it. Governance rules should govern when an…

Look for observable signals that indicate AI is retrieving and citing your approved content, not merely visiting pages. Key signals include retrievals from your Q&A and Business Brain, explicit conversation citations linking to your material, and referral sessions driven by AI recommendations. Governance and reporting are essential: separate discovery, retrieval, citations, referrals, and eventual outcomes in your OTC dashboards so you can demonstrate mean…

Begin with an AI Visibility Scan to establish a baseline of how well the client’s knowledge is represented for AI consumption. Build a client-facing dashboard that tracks observable signals such as retrievals, conversation citations, referrals, and AI Overviews usage, then pair these with a simple narrative explaining what each signal means. Provide artifacts like example Q&A pages, linked evidence, and governance records to show credibility, not guarantee…

Found means the AI discovered your content during its scanning or indexing. Mentioned means the AI mentions your content within an answer but without explicit linking. Cited means the AI includes an explicit reference or link to your content as supporting evidence. Recommended means the AI identifies your content as a credible option among others for a given question. Referred means the AI directs the user toward your content as the next step or primary so…

AI visibility isn’t a guaranteed ranking or citation; it’s about how clearly readers access and use your content when forming answers. Start by separating signals: referrals (AI-driven visits that come from AI citations or recommendations), conversation citations (AI responses that point users to your material), and AI-overviews usage (how often an AI summarises or references your content in an answer). To move beyond guessing, measure these signals over t…

Short answer: start by turning your known knowledge into a structured Digital Twin that AI can understand and cite. Begin with an AI Visibility Scan to identify gaps between your website and the AI surface, then publish a small set of connected Q&A pages that cover core offerings, locations and policies, all linked to stable facts in your Business Brain. Add media with clear image-context captions and transcripts where possible, and keep evidence pages tha…

AI visibility measures how readers access, interpret, and present your business information, not just how many links you gain or how high you rank. It includes signals like conversation citations, referral sessions, and the use of AI Overviews in responses, plus local AI discovery signals. Traditional SEO focuses on site traffic and rankings, while AI visibility tracks how well readers understand and retrieve your knowledge. Track both established signals …

AI visibility is about more than being indexed; it’s about ensuring readers can access, understand and accurately represent your approved business facts. The goal is for the AI to understand your offering, not just surface generic information. This means building a Digital Twin that is explicitly designed for AI consumption, with a clearly defined Business Brain and public Q&A that reflect approved, non-confidential knowledge. Remember that AI comparisons …

AI Mode introduces a conversational, research-style layer in which AI can summarize or compare information, while AI Overviews provide contextual answers. To verify that AI is using your Digital Twin, look for retrieval signals that reference your approved pages and citations tied to your content. The strongest indicator is when AI responses rely on your own Q&A, Business Brain data and other controlled outputs rather than generic external sources. Maintai…

Track AI-facing signals such as retrievals, conversation citations, and referral sessions that show AI is using your content. In OTC terms, the Digital Twin serves as the AI-readable knowledge layer behind your website, and success looks like AI retrieving and citing your approved material rather than merely visiting your site. Use these signals alongside reporting to understand how AI visibility translates into real-world outcomes, while keeping a clear d…