Update to Leadstore.xyz: AI Visibility

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    "description": "Buyers now ask AI before they search. If the answer names someone else, you may lose that customer without seeing it. Leadstore shows where your brand stands in AI answers, search results and app stores, explains why, and then does the work that moves it: tracking the right prompts, publishing posts built to rank and get cited, and getting you mentioned on the sites AI reads.\n\nTHE PROBLEMS LEADSTORE HELPS WITH\n\n\"I don't know if AI recommends us.\"\nLeadstore checks the questions your buyers ask across the major AI assistants and AI search engines. You get an AI visibility score by engine, the prompts where you are cited, and the prompts where a competitor is named instead.\n\n\"I can't tell what's real and what's estimated.\"\nThe Leadstore Tag adds first-party data from your own site: verified AI crawler visits by engine, human visitors, visitors who arrive from AI answers, and top pages. A Data Confidence view separates what was measured from what was inferred.\n\n\"AI says the wrong things about us.\"\nLeadstore flags answers that get your brand wrong, like outdated pricing or missing features, and shows which sources they drew on.\n\n\"A competitor keeps showing up and I can't tell why.\"\nSee your share of voice, the pages AI cites in each answer, and the keywords, topics and backlinks competitors have that you don't, each with a likely cause.\n\n\"Traffic is slipping and I find out too late.\"\nRank tracking, local map pack checks, Search Console and GA4 data, backlinks and technical audits across SEO, AEO, GEO, LLMO and ASO (App Store and Google Play) help you spot a drop and the issue behind it.\n\nTHREE ACTIONS THAT GROW RANKINGS AND AI VISIBILITY\n\n1. Audits and prompts: know what to fix and what to win.\nAudits check whether AI crawlers can read your site and whether the public sources AI models learn from know your brand: Wikidata and Wikipedia, public datasets on GitHub or Kaggle, author markup and consistent social profiles. Each failed check comes with steps to fix it. Tracked prompts then show which buyer questions you are missing.\n\n2. Blog posts: give AI something to cite.\nLeadstore turns the missing questions into answer-ready posts with a quality score, structured data, llms.txt and llm-data.json. Clear answers on your own site help you rank in search and give AI a source worth citing.\n\n3. Off-site: be where AI looks.\nAI answers lean on community and review sites. Leadstore finds threads where your brand belongs across Reddit, Quora, Wikipedia, YouTube, LinkedIn, Stack Overflow, Medium, Trustpilot, X, Facebook Groups, Instagram, TikTok, Threads, Pinterest, forums, review sites, listicles and blogs, ranks them by how often AI cites each kind of site, and advises the right move on each, from a disclosed reply to a Wikipedia Talk page request.\n\nAI models learn from and cite the public web, so fixes, posts and mentions there can shape what they say about you. Leadstore then measures citation growth, rankings and AI referral traffic to show what worked.\n\nPUBLISH STRAIGHT TO YOUR SITE\nConnect WordPress, Webflow, Framer, Shopify or Sanity in one tap. Posts then publish to your live site automatically, on your schedule, or with one tap when you approve them. No copy and paste, no developer.\n\nTRY ASKING\n- \"What's my AI visibility score, and which buyer questions am I missing?\"\n- \"Review my latest blog draft, fix what's holding its score back, and publish it to my site.\"\n- \"Show my open Reddit and Quora opportunities and polish the reply drafts waiting for review.\"\n\nWHO IT'S FOR\nMarketing teams, founders, SEO and content leads, app marketers and agencies.\n\nGOOD TO KNOW\nA Leadstore account is required. Create one at leadstore.xyz, add your website, then connect it here. Installing the Leadstore Tag unlocks crawler and visitor data. The plugin signs in through standard OAuth, acts only as you, sees only your own Leadstore data, and you can revoke access at any time.",
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      "long_description": "Buyers now ask AI before they search. If the answer names someone else, you may lose that customer without seeing it. Leadstore shows where your brand stands in AI answers, search results and app stores, explains why, and then does the work that moves it: tracking the right prompts, publishing posts built to rank and get cited, and getting you mentioned on the sites AI reads.\n\nTHE PROBLEMS LEADSTORE HELPS WITH\n\n\"I don't know if AI recommends us.\"\nLeadstore checks the questions your buyers ask across the major AI assistants and AI search engines. You get an AI visibility score by engine, the prompts where you are cited, and the prompts where a competitor is named instead.\n\n\"I can't tell what's real and what's estimated.\"\nThe Leadstore Tag adds first-party data from your own site: verified AI crawler visits by engine, human visitors, visitors who arrive from AI answers, and top pages. A Data Confidence view separates what was measured from what was inferred.\n\n\"AI says the wrong things about us.\"\nLeadstore flags answers that get your brand wrong, like outdated pricing or missing features, and shows which sources they drew on.\n\n\"A competitor keeps showing up and I can't tell why.\"\nSee your share of voice, the pages AI cites in each answer, and the keywords, topics and backlinks competitors have that you don't, each with a likely cause.\n\n\"Traffic is slipping and I find out too late.\"\nRank tracking, local map pack checks, Search Console and GA4 data, backlinks and technical audits across SEO, AEO, GEO, LLMO and ASO (App Store and Google Play) help you spot a drop and the issue behind it.\n\nTHREE ACTIONS THAT GROW RANKINGS AND AI VISIBILITY\n\n1. Audits and prompts: know what to fix and what to win.\nAudits check whether AI crawlers can read your site and whether the public sources AI models learn from know your brand: Wikidata and Wikipedia, public datasets on GitHub or Kaggle, author markup and consistent social profiles. Each failed check comes with steps to fix it. Tracked prompts then show which buyer questions you are missing.\n\n2. Blog posts: give AI something to cite.\nLeadstore turns the missing questions into answer-ready posts with a quality score, structured data, llms.txt and llm-data.json. Clear answers on your own site help you rank in search and give AI a source worth citing.\n\n3. Off-site: be where AI looks.\nAI answers lean on community and review sites. Leadstore finds threads where your brand belongs across Reddit, Quora, Wikipedia, YouTube, LinkedIn, Stack Overflow, Medium, Trustpilot, X, Facebook Groups, Instagram, TikTok, Threads, Pinterest, forums, review sites, listicles and blogs, ranks them by how often AI cites each kind of site, and advises the right move on each, from a disclosed reply to a Wikipedia Talk page request.\n\nAI models learn from and cite the public web, so fixes, posts and mentions there can shape what they say about you. Leadstore then measures citation growth, rankings and AI referral traffic to show what worked.\n\nPUBLISH STRAIGHT TO YOUR SITE\nConnect WordPress, Webflow, Framer, Shopify or Sanity in one tap. Posts then publish to your live site automatically, on your schedule, or with one tap when you approve them. No copy and paste, no developer.\n\nTRY ASKING\n- \"What's my AI visibility score, and which buyer questions am I missing?\"\n- \"Review my latest blog draft, fix what's holding its score back, and publish it to my site.\"\n- \"Show my open Reddit and Quora opportunities and polish the reply drafts waiting for review.\"\n\nWHO IT'S FOR\nMarketing teams, founders, SEO and content leads, app marketers and agencies.\n\nGOOD TO KNOW\nA Leadstore account is required. Create one at leadstore.xyz, add your website, then connect it here. Installing the Leadstore Tag unlocks crawler and visitor data. The plugin signs in through standard OAuth, acts only as you, sees only your own Leadstore data, and you can revoke access at any time.",
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