SearchCheck AI Visibility
Proprietary Research

Original Research & Benchmark Studies

Empirical search and answer visibility studies conducted with transparent methodologies, sample sizes, and practical implications.

Original DatasetSample: 500 Queries across 10 Commercial Verticals · September 2026

Study: What Sources Does Google AI Overviews Actually Cite? (500 Queries Analyzed)

Working Hypothesis

Google AI Overviews disproportionately cites domain homepages and generic Wikipedia pages over high-density comparison hubs.

Empirical Finding

Refuted: 71% of cited URLs were specific, structured comparison guides and original research datasets. Only 8% were general brand homepages.

Practical Implication: Publishing deep, tabular comparison data and verified benchmarks is the single highest-leverage lever to capture Google AI citations.
Original DatasetSample: 350 Multi-Turn Buyer Intent Prompts · September 2026

ChatGPT Search Brand Recommendation Patterns: Domain Age vs Third-Party Review Consensus

Working Hypothesis

Established legacy domain authority (backlink volume) dictates which brands ChatGPT recommends.

Empirical Finding

Partially Refuted: ChatGPT heavily weighted third-party consensus across review aggregators (G2, Capterra, Reddit) over raw backlink volume.

Practical Implication: Digital PR and verified customer reviews on neutral third-party hubs directly influence LLM vendor suggestions.