Practical, evidence-backed guides on ranking in Google and getting cited by AI answer engines — written by the team building the platform.
A practical guide to Generative Engine Optimization — how to get your brand named and cited by ChatGPT, Perplexity, and Gemini. What actually moves the needle, what doesn't, and how to measure it.
SEO, AEO, and GEO explained without the jargon — how answer engine optimization and generative engine optimization differ from classic SEO, where they overlap, and how to prioritize all three.
A step-by-step guide to improving your brand's AI visibility — how to get recommended by ChatGPT, Perplexity, and Gemini, how to measure your mention rate, and how to close the gap on competitors.
How to choose rank tracking software and run competitor analysis that actually informs strategy — what metrics matter, how to track by region, and how agencies scale it across clients in 2026.
Looking for a Profound alternative? An honest comparison of AI visibility and GEO tools — Profound, Otterly, LLMrefs, Nightwatch, and Serpair — by what they actually do, who they fit, and how they price.
A practitioner's guide to AI-powered SEO platforms in 2026 — what 'AI SEO' actually means, the categories of tools, what to look for, and how to pick the right AI SEO software for your team.
A practical llms.txt (llm txt) guide — what the file is, why it matters for AI visibility, exactly how to structure one, a copy-paste example, and the common mistakes to avoid.
A practical guide to toxic backlinks — what they are, how to identify them with a backlink toxicity checker, when to disavow (and when not to), and how to build a clean link profile.
A practical guide to AI brand monitoring — how to track whether ChatGPT, Perplexity, and Gemini mention your brand, what to measure, how to set it up, and how to act on what you find.