AI Visibility Research

Research on running AI locally: DGX Spark and Mac Studio comparisons, GPU supply and pricing, on-device model performance, and what local inference means for brand visibility.

Model benchmark and leaderboard research: Chatbot Arena Elo, SWE-bench, HumanEval, throughput measurements, and GEO benchmarks for brand visibility across AI platforms.

Research briefs on major model releases and lineages. What each GPT, Claude, Gemini, Llama, Qwen, DeepSeek, and Mistral release changes about training cutoffs, retrieval, and brand recall.

Platform-by-platform research on what AI assistants cite. Citation rates, source mix, and brand mention patterns across ChatGPT, Claude, Gemini, Perplexity, Copilot, and agentic browsers.

Research on which sources move AI recommendations. Reddit, YouTube, LinkedIn, GitHub, Wikipedia, and news publisher influence on what AI assistants say about brands.

Research on agentic browsing, AI shopping agents, crawler behaviour, and the economics of AI crawling. Agent decision patterns, x402, payment rails, and what crawlers actually fetch.

AI market size, adoption rates, platform share, spend, and growth statistics for 2026. Data-backed reference points for marketing teams building the AI visibility case.

Research-backed buyer guides and comparisons across AI tooling, plus the trackers we keep updated on model, platform, and pricing changes.

Research on the creator economy in the AI era, AI career and salary reference data, case studies, and data visualisations from the Presenc AI platform.

AI visibility studies for specific industries and regions. Crypto, real estate, recruitment, healthcare, and market-level research across the UAE, Korea, India, and the US.

Core research on brand visibility in AI answers. Visibility studies, optimisation analysis, ROI models, and the mechanics of how brands surface in generative search.