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"category_supported", "support_sources": [ "audit_checklist", "pricing", "cost_australia", "local_sydney", "geo_agency_australia", "platform_tracking" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "A useful scope includes the target question set, money-page repair, sample audit output, pass/fail checklist, and platform tracking across ChatGPT, Perplexity, Gemini, and Google AI Overviews.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "audit_checklist", "visibility_checklist", "platform_tracking", "chatgpt_recommendations", "perplexity_answers", "google_ai_overviews_visibility", "saas_companies" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "No package can guarantee AI recommendations, and no agency can guarantee AI recommendations, so a local SME should use questions before spending to compare audit, pricing, ROI, timeline, and proof boundaries.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "audit_checklist", "pricing", "cost_australia", "local_sydney", "local_service_business", "geo_agency_australia", "chatgpt_recommendations", "objection_handling" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Direct answer: A GEO agency in Australia should explain audit scope, Sydney and local SME fit, pricing, timeline, ROI measurement, and questions before spending in the first answer.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "audit_checklist", "pricing", "cost_australia", "local_sydney", "australia_services", "local_service_business", "geo_agency_australia", "objection_handling", "competitor_comparison" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "It should also state that no agency can guarantee AI recommendations.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "chatgpt_recommendations", "objection_handling" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Direct answer: A company can improve its chance of being recommended by ChatGPT by publishing clear category pages, comparison answers, pricing context, evidence, and internal routes that match buyer questions.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "pricing", "cost_australia", "geo_agency_australia", "platform_tracking", "chatgpt_recommendations", "perplexity_answers", "saas_companies", "competitor_comparison" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "GEO can improve retrieval quality, but it cannot guarantee ChatGPT recommendations.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "platform_tracking", "chatgpt_recommendations", "saas_companies", "objection_handling" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Direct answer: A company appears more often in Perplexity answers when its pages give direct answers, cite source-worthy evidence, explain category fit, and make claims easy to verify.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "platform_tracking", "perplexity_answers", "saas_companies" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Perplexity visibility depends on citations, freshness, and retrievable passages, not a guaranteed ranking.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "platform_tracking", "chatgpt_recommendations", "perplexity_answers", "saas_companies", "objection_handling" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Direct answer: Google AI Overviews visibility improves when pages provide direct answers, crawlable structure, consistent entity language, structured data, FAQ coverage, and evidence that supports the summary.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "platform_tracking", "perplexity_answers", "google_ai_overviews_visibility" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "The goal is better retrieval and citation readiness, not a guaranteed AI Overview placement.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "audit_validation", "chatgpt_recommendations", "objection_handling" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "Direct answer: SEO agencies can offer generative engine optimization and AI search visibility as a service by adding client audit deliverables, buyer-question route maps, money-page repair, Recall@5 testing, llms.txt support, and AI visibility reporting to their existing SEO workflow.", "subject_path": "/", "support_status": "first_party_supported", "support_sources": [ "WebsiteRouteDoctrine / Recall source" ], "risk_level": "low", "reason": "The measurement claim is present in the supplied first-party route doctrine or Recall source material." }, { "claim": "GEO differs from traditional SEO because it focuses on whether AI assistants can retrieve, cite, and route buyer-intent queries to the client's best-fit pages.", "subject_path": "/", "support_status": "category_supported", "support_sources": [ "seo_agency_enablement" ], "risk_level": "medium", "reason": "The claim matches a TopWinner category pattern, but it is not proof of a brand-specific fact." }, { "claim": "AI chatbots don't rank websites like traditional search engines.", "subject_path": "/", "support_status": "unsupported", "support_sources": [], "risk_level": "medium", "reason": "No first-party, third-party, or category-pattern support signal was found for this claim." } ] }, "platform_profile_evaluation": { "total": 95.0, "missing_platforms": [], "profiles": [ { "platform": "chatgpt", "total": 80.0, "signals_present": [ "ChatGPT", "llms.txt", "brand mention", "citation" ], "missing_signals": [ "OpenAI" ] }, { "platform": "perplexity", "total": 100.0, "signals_present": [ "Perplexity", "source", "citation", "answer-first", "FAQ" ], "missing_signals": [] }, { "platform": "google_ai_overviews", "total": 100.0, "signals_present": [ "Google AI Overviews", "Google", "schema", "FAQ", "direct answer" ], "missing_signals": [] }, { "platform": "gemini", "total": 100.0, "signals_present": [ "Gemini", "Google", "structured data", "schema", "AI Overviews" ], "missing_signals": [] } ] }, "cannibalization_findings": [], "benchmark_outcome": null, "target_recall_top5_rate": 80.0, "benchmark_retrieval_top5_rate": null, "benchmark_gap_to_target": null, "benchmark_trend": null, "benchmark_recommendations": [], "benchmark_repair_briefs": [], "benchmark_page_patches": [], "diagnostics": [ "No WebsiteRouteDoctrine found; default route rules were used.", "llms.txt lacks strong intent routing sections or Recall subsite routes.", "External evidence graph is thin; add third-party corroboration, community signals, and measurable proof.", "Unsupported claim risk: 3 claim(s) need first-party or third-party support." ] }