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𝘾𝙤𝙙𝙚4𝙓 𝙖𝙪𝙙𝙞𝙩𝙨 𝙬𝙚𝙗𝙨𝙞𝙩𝙚𝙨 𝙛𝙤𝙧 𝘼𝙄 𝙖𝙜𝙚𝙣𝙩 𝙧𝙚𝙖𝙙𝙞𝙣𝙚𝙨𝙨, 𝙛𝙞𝙭𝙚𝙨 𝙬𝙝𝙖𝙩 𝙞𝙨 𝙗𝙧𝙤𝙠𝙚𝙣, 𝙖𝙣𝙙 𝙩𝙧𝙖𝙘𝙠𝙨 𝙝𝙤𝙬 𝘼𝙄 𝙚𝙣𝙜𝙞𝙣𝙚𝙨 𝙙𝙚𝙨𝙘𝙧𝙞𝙗𝙚 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙤𝙫𝙚𝙧 𝙩𝙞𝙢𝙚. When a buyer asks ChatGPT, Perplexity or Claude about your category, the answer is assembled from what those engines can find and parse. Most websites were never built for that. They were built for humans and for search engine crawlers — a third audience now reads them, and almost nobody has checked whether it can. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗼 We run a 37-point audit across three layers. Layer 1 asks whether AI agents can find you — llms.txt, agents.json, AI bot rules in robots.txt, Content Signals, sitemaps. Layer 2 asks whether they can read you — content negotiation, schema accuracy, heading structure, entity consistency, JavaScript dependency. Layer 3 asks whether they can act on your site — WebMCP, agent authentication, commerce readiness. Every finding comes with a URL and the specific test that failed. We then generate and deploy the fixes, re-run the same audit to show the difference, and track weekly what ChatGPT, Perplexity and Claude actually say about you. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗼 𝗻𝗼𝘁 𝗽𝗿𝗼𝗺𝗶𝘀𝗲 We do not guarantee rankings or citations in any AI engine. AI answers vary by prompt, by engine and by day. What we commit to is a measured baseline, a repeatable method and transparent reporting. 𝗪𝗵𝗼 𝘄𝗲 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 B2B technology companies, SaaS firms, professional services and Global Capability Centres.

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