Insights
Original research on how AI ranks brands
We run the experiments other AI-visibility companies talk about. Quarterly State of AI Brand Visibility reports, weekly LLM teardowns, and the playbooks behind every result you see in our case studies.
Q2 2026 Report
State of AI Brand Visibility — Q2 2026
We benchmarked 4,200 brands across GPT-4o, Claude 3.5, Gemini 1.5 and Perplexity. Average brand appears in 3.1% of commercial prompts. Category leaders: 38%.
Experiment
We tested 500 'best [product]' prompts across 4 LLMs
Same prompt, 4 different models, 4 different winners 41% of the time. Here's why brand consistency across LLMs is the next SEO.
Playbook
How Claude actually picks which SaaS to recommend
Reverse-engineered from 12,000 Claude outputs: citation surface, semantic clustering, and the 'reference brand' phenomenon.
Deep dive
Why AIPC.computer hit 12K mentions in 90 days
The full architecture: domain strategy, citation engineering, prompt simulation network, and the LLM routing layer that compounded results.
Opinion
Google is the last search engine. LLMs are the first answer engines.
Search returns links. AI returns decisions. The brands that engineer the decision layer will own the next decade of commerce.
Glossary
AEO, GEO, LLM SEO — what's actually different
A precise vocabulary for the AI visibility space, with examples of what each discipline owns and where they overlap.
AI Visibility Weekly
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One last thing
If AI doesn't recommend you, your business is already invisible.
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