Does schema markup help with AI visibility?
Structured data makes pages readable for machines; it didn't produce more AI citations in research. Where to start.
read more →All posts tagged ai-visibility.
Structured data makes pages readable for machines; it didn't produce more AI citations in research. Where to start.
llms.txt gives AI systems a guide to your site. What belongs in it, what Google thinks of it, and when you can safely skip it.
Perplexity shows its sources with every answer and rewards authority, timeliness and structure. What that concretely asks of your pages.
Blocking protects against training, but takes you out of AI answers. The trade-off per bot, the middle ground, and how to check your robots.txt.
Writing rules for citable content: the question in the heading, the answer in the first paragraph and figures with source and date.
Three pillars determine whether ChatGPT mentions you: citable structure, demonstrable authority, and presence where AI systems look.
How Claude gets its answers via training data and Brave Search, and how to test in ten minutes whether your business appears in it.
The benchmark method: fixed search queries, a baseline measurement across multiple platforms and a monthly re-measurement where the delta is the evidence.
What the AI answer block above the search results is, how Google chooses its sources and what it does to your click-throughs.
GEO wants to be cited where SEO wants to rank. What stays the same, what shifts, and what research shows demonstrably works.