{"version":"1.0","type":"card","id":"22fb17db-0f2d-4d11-bd51-b0be596d7991","url":"https://stacklist.com/card/22fb17db-0f2d-4d11-bd51-b0be596d7991","title":"GEO strategy slide deck","source_url":null,"note":"The North Atlanta Home Group's GEO strategy focuses on optimizing content for locale and neighborhood search phrasing used by diverse buyers, adapting to increased AI interaction with their workspace. The plan addresses current content coverage gaps by re-titling existing material, filling in missing information for specific locales, and creating comparative content over a 90-day period, with monthly reporting on AI citations and content depth.","image":{"url":"https://ucarecdn.com/3e8d21aa-6ac0-4953-bb0e-2653841650fb/","alt":"GEO strategy slide deck","width":1240,"height":697},"stack":{"id":"a88eedec-ecd9-4770-8158-8331f1cdaa4b","title":"NAHG - PDFs","url":"https://stacklist.com/stack/a88eedec-ecd9-4770-8158-8331f1cdaa4b"},"created_at":"2026-09-14T14:25:15.333Z","updated_at":null,"aco":{"summary":"North Atlanta Home Group's GEO strategy slide deck outlines a 90-day plan to optimize locale and neighborhood search phrasing for North Atlanta home buyers. The strategy addresses AI crawler coverage gaps, buyer vocabulary variations across neighborhoods, and implements three key rules for content titling and comparison-based answers.","tags":["geo-strategy","real-estate","north-atlanta","buyer-phrasing","content-optimization","ai-crawlers","neighborhood-search"],"key_entities":[{"name":"North Atlanta Home Group","type":"organization","confidence":0.95},{"name":"North Atlanta","type":"location","confidence":0.95},{"name":"Johns Creek","type":"location","confidence":0.92},{"name":"Milton","type":"location","confidence":0.92},{"name":"Alpharetta","type":"location","confidence":0.92},{"name":"Peachtree Corners","type":"location","confidence":0.92},{"name":"Roswell","type":"location","confidence":0.85},{"name":"Duluth","type":"location","confidence":0.85},{"name":"Country Club of the South","type":"location","confidence":0.88},{"name":"Meta AI","type":"technology","confidence":0.9},{"name":"Amazon","type":"technology","confidence":0.9},{"name":"Bing","type":"technology","confidence":0.9},{"name":"Googlebot","type":"technology","confidence":0.9},{"name":"Applebot","type":"technology","confidence":0.9},{"name":"Claude AI","type":"technology","confidence":0.9},{"name":"OAI-Search Bot","type":"technology","confidence":0.9},{"name":"buyer-phrasing","type":"concept","confidence":0.88},{"name":"locale-search","type":"concept","confidence":0.88},{"name":"ai-crawlers","type":"concept","confidence":0.87}],"classification":"memo","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-09-23T10:39:24.107Z"},"token_counts":{"approximate":1152,"cl100k":2093},"content_hash":"sha256:5d4579dbcb635b862a1081ac3d033026a63d00b06d7e864f6d43fe101059e5e1","acp_version":"0.2","body_available":true,"body_tokens":1152,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/22fb17db-0f2d-4d11-bd51-b0be596d7991.json","html":"https://stacklist.com/card/22fb17db-0f2d-4d11-bd51-b0be596d7991","md":"/api/public/card/22fb17db-0f2d-4d11-bd51-b0be596d7991.md","stack_json":"/api/public/stack/a88eedec-ecd9-4770-8158-8331f1cdaa4b.json"}}