DataForSEO LLM Mentions — AI Citation Tracking and Brand Monitoring

What DataForSEO LLM Mentions Tracks

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.

API group: Content Analysis / AI Tools Primary endpoint: https://api.dataforseo.com/v3/content_analysis/search/live (with AI mode)

AI Visibility Baseline Audit

Before any AI optimization campaign, establish baseline:

Baseline query set (15-20 queries per client):

• Brand name alone: "[Business Name]"
• Brand + primary service: "[Business Name] [service]"
• Service + location: "[service] in [city]"
• Best-of queries: "best [service] in [city]"
• Cost queries: "how much does [service] cost in [city]"
• Emergency queries: "emergency [service] near me [city]"
• Comparison queries: "[service A] vs [service B] [city]"

For each query, test across platforms:

• ChatGPT (GPT-4 Browse mode)
• Perplexity AI
• Google Gemini
• Google AI Overviews

Record: Is the brand mentioned? Is the brand cited as a source? Is a competitor mentioned instead?

Metehan Temperature Zero Scoring

Apply Temperature Zero scoring (0-30 points) from the Metehan AEO framework:

| Query Category | Platform Count | Max Points | |---------------|---------------|------------| | Brand recognition | 4 platforms | 8 | | Service-location queries | 4 platforms | 8 | | Cost/comparison queries | 4 platforms | 7 | | Emergency/PAA queries | 4 platforms | 7 |

Score: 0-10 = critical gaps, 11-20 = underperforming, 21-25 = adequate, 26-30 = strong AI presence.

Franchise/local business benchmark: National brand entities do NOT cascade local signals to franchise locations. Each location needs independent AI visibility strategy.

DataForSEO Brand Audit Mode

POST to https://api.dataforseo.com/v3/content_analysis/search/live

[
  {
    "keyword": "Smith Roofing Tampa",
    "location_name": "United States",
    "language_name": "English",
    "filters": [
      ["domain", "=", "smithroofing.com"]
    ]
  }
]

Returns: mentions of the domain/brand across indexed web content, AI-cited pages, and content analysis score.

Platform Citation Overlap Analysis

Research shows only 42% overlap in citations between ChatGPT, Perplexity, Claude, and Gemini. Multi-platform strategy is required:

| Platform | Distinct Content Preference | |----------|---------------------------| | Google AI Overviews | High E-E-A-T, structured answers, Google-indexed content | | ChatGPT Browse | Original data, citation density, direct facts | | Perplexity | Research-style, precise stats, expert sources | | Claude | Evidence-backed claims, transparent reasoning |

Optimizing for one platform does NOT guarantee visibility on others. Test all four after any content change.

Gap-to-Content Mapping

When AI platforms cite competitors instead of your client:

1. Identify which competitor is being cited
2. Analyze their content for that query: what format, what facts, what sources?
3. Identify 2-3 attributes your client's content is missing vs. the cited competitor
4. Create content bridging those gaps (following koray-content-brief methodology)
5. Submit new content to AI platforms via CiteMET buttons (see metehan-aeo-citemet)
6. Re-run Temperature Zero audit at 30 days

Monitoring Cadence

| Action | Frequency | |--------|-----------| | Temperature Zero audit | Monthly | | Brand query spot checks | Weekly | | Competitor citation monitoring | Monthly | | Content gap analysis | Per-quarter |

Cross-References

• metehan-aeo — full Metehan AEO methodology including Temperature Zero framework
• metehan-aeo-rrf — RRF Playbook for improving citation probability
• ai-llm-seo — broader AI SEO strategy framework
• ai-overview-rewriter — content optimization for Google AI Overviews specifically

#seo-sop #seo #ai-seo #dataforseo #api #brand-monitoring #llm-visibility