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That's 6,300 data points per Annual report, and 25,200 per year on AVS Quarterly. This is a real measurement product, not a 25-prompt tool.", "sourceUrl": "https://knownandcited.com/methodology", "pageTitle": "AVS Methodology | Known & Cited", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "procedure", "audienceType": "technical" }, { "chunkId": "c_006", "text": "Your full score, the competitor benchmark, and 12 prioritised recommendations ranked by impact. 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A band is the answer to where a brand sits in AI answers today: from invisible to inevitable.", "maturityStatus": "established", "audienceType": "general", "relations": [ { "predicate": "PART_OF", "targetId": "e_002", "targetName": "AI Visibility Strategy" }, { "predicate": "DESCRIBED_BY", "targetId": "e_007", "targetName": "AI Visibility Score" } ], "hasChunks": [ { "chunkId": "c_012", "text": "One score. Five bands. Where your brand sits in AI answers today, from invisible to inevitable. Ghost 0 to 10. Whisper 11 to 30. Emerging 31 to 50. Cited 51 to 75. Known and Cited 76 to 100.", "sourceUrl": "https://knownandcited.com/in-a-nutshell", "pageTitle": "In a Nutshell | Known & Cited", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "definition", "audienceType": "general" } ] }, { "entityId": "e_009", "@type": "Person", "name": "Russ Read-Barrow", "alternateName": "Russ", "description": "Russ Read-Barrow is the founder of Known & Cited. After 20 years in international PR, including commercial and operations director roles, he built Known & Cited to solve the measurement problem AI search has created: how to know whether AI platforms are recommending your business, and what to do about it.", "status": "active", "audienceType": "general", "relations": [ { "predicate": "AFFILIATED_WITH", "targetId": "e_001", "targetName": "Known & Cited" }, { "predicate": "AUTHORED_BY", "targetId": "e_002", "targetName": "AI Visibility Strategy" } ], "hasChunks": [ { "chunkId": "c_013", "text": "I'm Russ. After 20 years in international PR across multiple countries, managing global teams and holding commercial and operations director roles, I know how businesses actually work from the inside. I built Known & Cited because someone needs to measure how AI talks about your business.", "sourceUrl": "https://knownandcited.com/about", "pageTitle": "About | Known & Cited", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "evidence", "audienceType": "general" } ] }, { "entityId": "e_010", "@type": "Concept", "name": "Generative Engine Optimisation", "alternateName": "GEO", "canonicalLabel": "Generative Engine Optimisation", "sameAs": "https://en.wikipedia.org/wiki/Generative_engine_optimization", "description": "Generative Engine Optimisation (GEO) is the practice of improving how AI platforms cite and recommend a business in AI-generated answers. Sometimes called AEO (AI Engine Optimisation or Answer Engine Optimisation) or AI Search, GEO addresses the conversational answers from ChatGPT, Google AI Overviews, Perplexity and other large language models. 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Known & Cited treats citation share as the right primary visibility metric for AI search, while making clear it is one third of the picture alongside accuracy of how the brand is described and whether the mention leads anywhere.", "maturityStatus": "established", "audienceType": "technical", "relations": [ { "predicate": "MEASURES", "targetId": "e_002", "targetName": "AI Visibility Strategy" } ], "hasChunks": [ { "chunkId": "c_016", "text": "Citation share is the right primary visibility metric, and it beats chasing rankings that no longer exist. But it is the visibility third of the picture, not the finish line. That is why we band it, spell out what it cannot tell you, and tie it back to whether anyone acted.", "sourceUrl": "https://knownandcited.com/methodology", "pageTitle": "AVS Methodology | Known & Cited", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "definition", "audienceType": "technical" } ] }, { "entityId": "e_012", "@type": "Methodology", "name": "Focus. Measure. Plan. Deliver. Repeat.", "alternateName": "K&C Five-Step Mantra", "canonicalLabel": "five-step AI visibility programme", "description": "Known & Cited's five-step methodology for AI visibility. Focus: define where you want to show up in AI. Measure: query AI platforms with structured research waves. Plan: prioritise content, PR and authority moves by impact versus effort. Deliver: produce the content and earn the coverage AI actually draws from. Repeat: re-measure to track progress, adapt to LLM changes and refine.", "status": "active", "audienceType": "technical", "relations": [ { "predicate": "DESCRIBED_BY", "targetId": "e_002", "targetName": "AI Visibility Strategy" } ], "hasChunks": [ { "chunkId": "c_017", "text": "Five steps. One continuous programme. Focus, Measure, Plan, Deliver, Repeat. That is how you get and stay known and cited.", "sourceUrl": "https://knownandcited.com/methodology", "pageTitle": "AVS Methodology | Known & Cited", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "procedure", "audienceType": "technical" } ] }, { "entityId": "e_013", "@type": "ProprietaryTerm", "name": "Be Known. Be Cited.", "canonicalLabel": "Known & Cited mission", "description": "The mission of Known & Cited. 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The framework decomposes AI visibility into twelve scorable pillars covering content depth, third-party coverage, technical accessibility, entity clarity, source authority and other dimensions that drive whether AI engines pick up and recommend a brand. The framework makes the score interpretable: you can see which pillars are pulling the score up or down.", "status": "active", "audienceType": "technical", "relations": [ { "predicate": "PART_OF", "targetId": "e_002", "targetName": "AI Visibility Strategy" } ], "hasChunks": [ { "chunkId": "c_019", "text": "At the heart of every paid AVS report is a visibility score out of 100, backed by a 12-pillar breakdown, competitor benchmarking and concrete recommendations. 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Where traditional PR optimised for headlines, reach and human attention, AI-led PR optimises for the third-party sites, structured citations and authority signals that AI platforms draw on when deciding which brands to recommend. The brief is set by the AVS measurement: which signals to build, in what order, with what message.", "status": "active", "audienceType": "technical", "relations": [ { "predicate": "PRODUCED_BY", "targetId": "e_001", "targetName": "Known & Cited" }, { "predicate": "ENABLES", "targetId": "e_002", "targetName": "AI Visibility Strategy" } ], "hasChunks": [ { "chunkId": "c_021", "text": "AI search underlines why PR and third-party recommendation matter so much. It levels the playing field. You can't just pay for search terms anymore. 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One of the three default engines Known & Cited measures across every paid AVS cadence, because Google AI Overviews decide which brands are mentioned in the AI answer that sits in front of the ten blue links.", "status": "active", "audienceType": "general", "relations": [ { "predicate": "PART_OF", "targetId": "e_015", "targetName": "Three-Engine AI Stack" } ], "hasChunks": [ { "chunkId": "c_023", "text": "Next time you Google something, look at the top of the page. That box with the summary answer? That's not Google Search. That's Google's AI. It's called an AI Overview, and it's now shown on the majority of searches.", "sourceUrl": "https://knownandcited.com/", "pageTitle": "Known & Cited | AI Visibility Intelligence", "publisher": "Known & Cited", "retrieved": "2026-06-05T00:00:00Z", "contentType": "definition", "audienceType": "general" } ] }, { "entityId": "e_019", "@type": "SoftwareProduct", "name": "Perplexity", "sameAs": "https://en.wikipedia.org/wiki/Perplexity_AI", "description": "Perplexity is an AI answer engine that produces citation-led responses. 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Where sitemap.xml tells crawlers what pages exist, entitymap.json tells AI systems what a site knows: which entities it covers, how they relate, and where the evidence is. Initiated by Fred Laurent with the support of Dixon Jones.", "status": "active", "maturityStatus": "established", "audienceType": "technical", "relations": [ { "predicate": "DESCRIBED_BY", "targetId": "e_001", "targetName": "Known & Cited" } ], "hasChunks": [ { "chunkId": "c_025", "text": "EntityMap is an open standard for publishing a structured, entity-first index of website knowledge for AI systems, retrieval pipelines, and language-model-based applications. 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