Notes on AEO, what's changing in how AI engines pick sources, and how that work shows up in the product.
LLMs track internal link topology to understand topical authority. Learn how to design your link structure so cited pages cluster together and compound…
Use FAQ schema and structured Q&A to increase LLM extraction. Markup patterns that drive citations in ChatGPT, Claude, and Perplexity.
Concrete tactics for formatting content so ChatGPT, Claude, and Perplexity actually extract and cite your answers instead of competitors'.
How Perplexity picks citations vs ChatGPT. What signals matter. Real audit of 100+ queries.
When do LLMs prefer fresh content over established sources? See data on update cadence, staleness thresholds, and how to balance authority with freshness for citations.
Map which competitors are cited instead of you across ChatGPT, Claude, Perplexity. Identify content gaps and citation-stealing queries—and how to reclaim them.
Keywords still matter. But links, CTR, and dwell time work differently. Here's the actual shift from links to citations.
Your page is mentioned in 500 answers but cited in 10. Here's how to measure and close the gap—and why it matters more than rankings.
Move beyond vanity metrics. Use GSC impressions and Bcited's citation tracking to measure what actually matters: citation velocity and durability.
Why high-ranking pages don't get cited by AI. The structural and editorial features that trigger LLM citations vs. Google traffic.
b/cited measures whether ChatGPT, Claude and Perplexity cite your brand — and shows you what to fix when they don't. What it does, and why it exists.
Answer engine optimization is what SEO turns into when most queries get a synthesized answer instead of a list of blue links. Here's what's actually different — and what isn't.
Citations look magical from the outside. They're not. Here's what actually drives whether ChatGPT, Claude, and Perplexity link to your site — and the editorial moves that consistently work.