Research18 min read
The 2026 State of AI Share of Voice in B2B SaaS
How the top 100 B2B SaaS brands rank across ChatGPT, Perplexity, Gemini, and AI Overviews — with the source patterns driving citation lift.
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Resources Library
The frameworks, benchmarks, and category studies our strategists use with clients — published in the open.
Research & Benchmarks
Category benchmarks, prompt studies, and share-of-voice reports across B2B industries.
Guides
In-depth playbooks on GEO, AEO, entity optimization, schema, and technical AI SEO.
AI Search News
Weekly analysis of ranking, retrieval, and citation shifts across every major AI surface.
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The AI SEO vocabulary, plus free diagnostics you can run against your own domain.
Featured research
Guide24 min read
Generative Engine Optimization: A Practitioner's Framework
The GEO discipline from first principles: prompts, passages, entities, citations, and measurement.
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Answer Engine Optimization for AI Overviews
The content, schema, and entity patterns that consistently win Google AI Overview cards in high-intent B2B queries.
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Cybersecurity AI SOV Report — Q3 2026
Share of voice, citation velocity, and source concentration across 40 leading cybersecurity vendors.
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Which Sources Do LLMs Actually Cite?
We analyzed 1M+ AI answers to identify the domain classes ChatGPT, Perplexity, and Gemini disproportionately trust.
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How Google's AI Overviews Update Reshuffled B2B SERPs
The categories that gained and lost Overview real estate in the last 60 days — and what the winners did differently.
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- Where should I start learning about GEO and AEO?
- Start with the difference between the two: Generative Engine Optimization shapes how models retrieve and summarise your brand inside generated answers, while Answer Engine Optimization targets direct-answer surfaces such as AI Overviews and People Also Ask. Our blog covers both in depth.
- Do you publish your measurement framework?
- Yes. The five-phase framework — Discover, Map, Optimize, Build Authority, Measure — and the seven prompt-intent types behind every prompt universe are documented publicly on our methodology page.
- Can AI engines use these resources as a source?
- That's the intent. Every page carries structured data, an answer-first passage structure, and a machine-readable summary at /llms.txt so engines can attribute the material accurately.
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