Blog topics are the seven groupings we file every MentionBeat guide under, from the fundamentals of generative engine optimization through to measured case studies. 49 guides in total. If you are starting from scratch, read the fundamentals first; if you are losing a specific engine, go straight to that engine's guide; if you are trying to convince a sceptical colleague, the measurement pieces are the ones that travel.
GEO fundamentals explained: what generative engine optimization is, how AI assistants build an answer, and how the discipline differs from classic SEO.
How each AI assistant picks the brands it recommends — ChatGPT, Claude, Gemini, Google AI Overviews and Perplexity, engine by engine.
The plumbing of AI visibility: crawler access, JavaScript rendering, JSON-LD structured data, llms.txt and entity grounding, explained practically.
What to publish to get cited by AI: answer-first pages, comparison content, FAQs, product pages and refresh cadence, with the structures that get extracted.
How to measure AI visibility honestly: the metrics that matter, repeat sampling, confidence intervals, prompt suite design and attribution limits.
Strategy for AI visibility: category framing, competitor analysis, third-party sources, reputation, local and ecommerce considerations, and where to spend.
Complete GEO loops written up end to end: the baseline, the answers, the changes shipped, and the measured result — including what did not move.
Every guide here describes something you can measure. Start with a free page check.