{"slug":"dataforseo-llm-mentions","title":"DataForSEO LLM Mentions — AI Citation Tracking and Brand Monitoring","tags":["seo","ai-seo","dataforseo","api","brand-monitoring","llm-visibility"],"agent_summary":"Tracks brand and competitor mentions in AI platform responses using DataForSEO's AI Mentions API. Establishes AI visibility baselines, monitors citation share changes, and identifies content gaps causing citation failures.","trigger_phrases":["LLM mentions","AI mention tracking","brand in AI results","AI citation monitoring","DataForSEO AI mentions","track AI visibility","brand in ChatGPT","AI brand mentions"],"runnable":true,"markdown":"\n## What DataForSEO LLM Mentions Tracks\n\nDataForSEO's AI Mentions API queries AI platforms (ChatGPT, Perplexity, Gemini, Claude) and returns whether a brand or URL is cited in responses to specific queries. This automates what would otherwise require manual testing across multiple platforms.\n\n**API group:** Content Analysis / AI Tools\n**Primary endpoint:** `https://api.dataforseo.com/v3/content_analysis/search/live` (with AI mode)\n\n## AI Visibility Baseline Audit\n\nBefore any AI optimization campaign, establish baseline:\n\n**Baseline query set (15-20 queries per client):**\n- Brand name alone: \"[Business Name]\"\n- Brand + primary service: \"[Business Name] [service]\"\n- Service + location: \"[service] in [city]\"\n- Best-of queries: \"best [service] in [city]\"\n- Cost queries: \"how much does [service] cost in [city]\"\n- Emergency queries: \"emergency [service] near me [city]\"\n- Comparison queries: \"[service A] vs [service B] [city]\"\n\n**For each query, test across platforms:**\n- ChatGPT (GPT-4 Browse mode)\n- Perplexity AI\n- Google Gemini\n- Google AI Overviews\n\nRecord: Is the brand mentioned? Is the brand cited as a source? Is a competitor mentioned instead?\n\n## Metehan Temperature Zero Scoring\n\nApply Temperature Zero scoring (0-30 points) from the Metehan AEO framework:\n\n| Query Category | Platform Count | Max Points |\n|---------------|---------------|------------|\n| Brand recognition | 4 platforms | 8 |\n| Service-location queries | 4 platforms | 8 |\n| Cost/comparison queries | 4 platforms | 7 |\n| Emergency/PAA queries | 4 platforms | 7 |\n\nScore: 0-10 = critical gaps, 11-20 = underperforming, 21-25 = adequate, 26-30 = strong AI presence.\n\nFranchise/local business benchmark: National brand entities do NOT cascade local signals to franchise locations. Each location needs independent AI visibility strategy.\n\n## DataForSEO Brand Audit Mode\n\nPOST to `https://api.dataforseo.com/v3/content_analysis/search/live`\n\n```json\n[\n  {\n    \"keyword\": \"Smith Roofing Tampa\",\n    \"location_name\": \"United States\",\n    \"language_name\": \"English\",\n    \"filters\": [\n      [\"domain\", \"=\", \"smithroofing.com\"]\n    ]\n  }\n]\n```\n\nReturns: mentions of the domain/brand across indexed web content, AI-cited pages, and content analysis score.\n\n## Platform Citation Overlap Analysis\n\nResearch shows only 42% overlap in citations between ChatGPT, Perplexity, Claude, and Gemini. Multi-platform strategy is required:\n\n| Platform | Distinct Content Preference |\n|----------|---------------------------|\n| Google AI Overviews | High E-E-A-T, structured answers, Google-indexed content |\n| ChatGPT Browse | Original data, citation density, direct facts |\n| Perplexity | Research-style, precise stats, expert sources |\n| Claude | Evidence-backed claims, transparent reasoning |\n\nOptimizing for one platform does NOT guarantee visibility on others. Test all four after any content change.\n\n## Gap-to-Content Mapping\n\nWhen AI platforms cite competitors instead of your client:\n\n1. Identify which competitor is being cited\n2. Analyze their content for that query: what format, what facts, what sources?\n3. Identify 2-3 attributes your client's content is missing vs. the cited competitor\n4. Create content bridging those gaps (following `koray-content-brief` methodology)\n5. Submit new content to AI platforms via CiteMET buttons (see `metehan-aeo-citemet`)\n6. Re-run Temperature Zero audit at 30 days\n\n## Monitoring Cadence\n\n| Action | Frequency |\n|--------|-----------|\n| Temperature Zero audit | Monthly |\n| Brand query spot checks | Weekly |\n| Competitor citation monitoring | Monthly |\n| Content gap analysis | Per-quarter |\n\n## Cross-References\n\n- `metehan-aeo` — full Metehan AEO methodology including Temperature Zero framework\n- `metehan-aeo-rrf` — RRF Playbook for improving citation probability\n- `ai-llm-seo` — broader AI SEO strategy framework\n- `ai-overview-rewriter` — content optimization for Google AI Overviews specifically\n\n#seo-sop #seo #ai-seo #dataforseo #api #brand-monitoring #llm-visibility\n","html":"<h2>What DataForSEO LLM Mentions Tracks</h2>\n<p>DataForSEO's AI Mentions API queries AI platforms (ChatGPT, Perplexity, Gemini, Claude) and returns whether a brand or URL is cited in responses to specific queries. This automates what would otherwise require manual testing across multiple platforms.</p>\n<p><strong>API group:</strong> Content Analysis / AI Tools\n<strong>Primary endpoint:</strong> <code>https://api.dataforseo.com/v3/content_analysis/search/live</code> (with AI mode)</p>\n<h2>AI Visibility Baseline Audit</h2>\n<p>Before any AI optimization campaign, establish baseline:</p>\n<p><strong>Baseline query set (15-20 queries per client):</strong></p>\n<ul>\n<li>Brand name alone: \"[Business Name]\"</li>\n<li>Brand + primary service: \"[Business Name] [service]\"</li>\n<li>Service + location: \"[service] in [city]\"</li>\n<li>Best-of queries: \"best [service] in [city]\"</li>\n<li>Cost queries: \"how much does [service] cost in [city]\"</li>\n<li>Emergency queries: \"emergency [service] near me [city]\"</li>\n<li>Comparison queries: \"[service A] vs [service B] [city]\"</li>\n</ul>\n<p><strong>For each query, test across platforms:</strong></p>\n<ul>\n<li>ChatGPT (GPT-4 Browse mode)</li>\n<li>Perplexity AI</li>\n<li>Google Gemini</li>\n<li>Google AI Overviews</li>\n</ul>\n<p>Record: Is the brand mentioned? Is the brand cited as a source? Is a competitor mentioned instead?</p>\n<h2>Metehan Temperature Zero Scoring</h2>\n<p>Apply Temperature Zero scoring (0-30 points) from the Metehan AEO framework:</p>\n<p>| Query Category | Platform Count | Max Points |\n|---------------|---------------|------------|\n| Brand recognition | 4 platforms | 8 |\n| Service-location queries | 4 platforms | 8 |\n| Cost/comparison queries | 4 platforms | 7 |\n| Emergency/PAA queries | 4 platforms | 7 |</p>\n<p>Score: 0-10 = critical gaps, 11-20 = underperforming, 21-25 = adequate, 26-30 = strong AI presence.</p>\n<p>Franchise/local business benchmark: National brand entities do NOT cascade local signals to franchise locations. Each location needs independent AI visibility strategy.</p>\n<h2>DataForSEO Brand Audit Mode</h2>\n<p>POST to <code>https://api.dataforseo.com/v3/content_analysis/search/live</code></p>\n<pre><code class=\"language-json\">[\n  {\n    \"keyword\": \"Smith Roofing Tampa\",\n    \"location_name\": \"United States\",\n    \"language_name\": \"English\",\n    \"filters\": [\n      [\"domain\", \"=\", \"smithroofing.com\"]\n    ]\n  }\n]\n</code></pre>\n<p>Returns: mentions of the domain/brand across indexed web content, AI-cited pages, and content analysis score.</p>\n<h2>Platform Citation Overlap Analysis</h2>\n<p>Research shows only 42% overlap in citations between ChatGPT, Perplexity, Claude, and Gemini. Multi-platform strategy is required:</p>\n<p>| Platform | Distinct Content Preference |\n|----------|---------------------------|\n| Google AI Overviews | High E-E-A-T, structured answers, Google-indexed content |\n| ChatGPT Browse | Original data, citation density, direct facts |\n| Perplexity | Research-style, precise stats, expert sources |\n| Claude | Evidence-backed claims, transparent reasoning |</p>\n<p>Optimizing for one platform does NOT guarantee visibility on others. Test all four after any content change.</p>\n<h2>Gap-to-Content Mapping</h2>\n<p>When AI platforms cite competitors instead of your client:</p>\n<ol>\n<li>Identify which competitor is being cited</li>\n<li>Analyze their content for that query: what format, what facts, what sources?</li>\n<li>Identify 2-3 attributes your client's content is missing vs. the cited competitor</li>\n<li>Create content bridging those gaps (following <code>koray-content-brief</code> methodology)</li>\n<li>Submit new content to AI platforms via CiteMET buttons (see <code>metehan-aeo-citemet</code>)</li>\n<li>Re-run Temperature Zero audit at 30 days</li>\n</ol>\n<h2>Monitoring Cadence</h2>\n<p>| Action | Frequency |\n|--------|-----------|\n| Temperature Zero audit | Monthly |\n| Brand query spot checks | Weekly |\n| Competitor citation monitoring | Monthly |\n| Content gap analysis | Per-quarter |</p>\n<h2>Cross-References</h2>\n<ul>\n<li><code>metehan-aeo</code> — full Metehan AEO methodology including Temperature Zero framework</li>\n<li><code>metehan-aeo-rrf</code> — RRF Playbook for improving citation probability</li>\n<li><code>ai-llm-seo</code> — broader AI SEO strategy framework</li>\n<li><code>ai-overview-rewriter</code> — content optimization for Google AI Overviews specifically</li>\n</ul>\n<p>#seo-sop #seo #ai-seo #dataforseo #api #brand-monitoring #llm-visibility</p>\n"}