Getting Found and Cited on Perplexity
How Perplexity sources and cites answers, what content actually wins there, and how to show up and track it.
Getting Found in ChatGPT Search
How ChatGPT's search and browsing pull in sources, how to be the page it cites, and how to track whether it's working.
Getting Found in Google AI Overviews and AI Mode
How Google's AI Overviews and AI Mode pick and cite sources, how it overlaps with classic SEO, and how to monitor your presence.
AEO vs GEO vs LLMO: Decoding the Acronyms (and What Actually Matters)
AEO, GEO, and LLMO are three labels for mostly the same job: getting cited inside AI answers. Here's what each emphasizes and the shared playbook underneath.
AEO vs Paid Ads: Where Should Your Next Dollar Go?
A side-by-side on cost curve, durability, trust, and speed so you know exactly where your next acquisition dollar should land.
AEO vs SEO: What Actually Changes When AI Answers the Question
SEO ranks links a human clicks; AEO wins the citation a model quotes. Here's what changes, what stays, and how to run both.
AI Search & AEO: Frequently Asked Questions
Straight answers on AI search, getting cited by ChatGPT and Claude, schema, llms.txt, crawlers, and how to measure AEO.
An AI Marketing Stack That Actually Ships
The practical AI marketing stack an operator actually runs: research, content production with AEO, repurposing, distribution, and measurement — honest about what to automate.
Answer Engine Optimization: The Complete Playbook
How to get your business cited inside ChatGPT, Claude, Perplexity, and Google AI answers — the mechanics, the process, and how to measure it.
Building an AI Content Engine From Scratch
The operator's blueprint for a real AI content engine: research substrate, draft, judge loop, AEO structure, schema, citation measurement, and feedback.
ChatGPT vs Perplexity vs Google AI Overviews: Where to Win Visibility
Three answer surfaces, three ways they source and cite. Where to focus to get cited by AI, what wins on each, and how to track your presence.
Conversational Search: How AI Changed What People Ask
Chat-style queries are longer, richer, and full of follow-ups. Here's how the questions changed — and how to write content that answers them.
How to Get Cited by ChatGPT, Claude, and Perplexity
A do-this-now playbook for becoming the source AI answer engines quote — answer-first writing, extractable claims, clusters, and testing.
How to Write FAQ Pages That AI Actually Cites
Picking real questions, answer-first phrasing, FAQ schema, and structure — the mechanics that turn an FAQ page into a cited source.
Programmatic AEO at Scale (Without Becoming Slop)
How to build hundreds of templated pages that stay genuinely useful and citable — the quality gates that separate leverage from spam.
Schema & JSON-LD for AI Search: A Practical Setup
The schema types that actually help answer engines extract and cite you, with copy-pasteable JSON-LD, where to put it, and the mistakes that quietly break it.
llms.txt, robots, and AI Crawlers: The Technical AEO Setup
The copy-pasteable technical setup for AI answer engines: llms.txt, robots.txt crawler rules, JSON-LD schema, canonicals, and freshness signals.