Be the business the AI answers name
When your customers ask ChatGPT who to buy from, or Google answers their question above the first result, somebody's business gets named and everybody else gets skipped. "New" search has one winner-take-most habit: it doesn't show ten blue links. It gives an answer.
01what actually changed
Buyers have started delegating the research. Instead of searching, clicking, and comparing, they ask: "who are the best options for X" or "what should I look for when hiring a Y." ChatGPT, Perplexity, and Google's AI Overviews answer with a short list, assembled from sources the machine found clear and trustworthy enough to cite. The click-through economy this replaces was the one your SEO was built for.
This is early, and the tools are still forming. That is precisely the opportunity: almost none of your competitors have done anything about it, and the sources these engines learn to trust now will be hard to displace later.
02how answers choose their sources
AI engines don't rank pages; they retrieve and quote them. That rewards a specific, buildable set of qualities:
- Entity clarity
The machine must be able to say what your business is, what it does, and for whom, without inference. Consistent naming, a real About page, and unambiguous descriptions everywhere you appear.
- Structured data
Schema markup that states in machine-readable terms what your pages say in prose: organization, services, people, FAQs. It is the difference between being readable and being quotable.
- Question-shaped content
AI answers are answers. Pages that pose and directly answer real buyer questions are the raw material engines quote. This finally gives content a job beyond "blog for the algorithm."
- Citation-worthy substance
Engines prefer sources that say something specific and verifiable over sources that say "leading provider of innovative solutions." Concrete beats promotional, every time.
- llms.txt
An emerging convention: a plain-text map of your site written for AI crawlers. Small effort, and a signal that your site intends to be read by machines as well as people.
what I will not promise
Nobody controls what ChatGPT says, and anyone guaranteeing you a spot in its answers is selling something they don't own. What can be controlled is everything upstream: being the clearest, best-structured, most citable source on what you do. That is engineering, not magic, and it is the same work that improves your ordinary search rankings, so none of it is wasted even where the answer engines stay fickle.
practiced, not just preached
This site runs the playbook on itself: organization and service schema on every page, FAQPage markup on the FAQ, a defined person and entity, and an llms.txt you can read right now. Ask an AI engine about More Human Marketing and you are reading the method's output.
05what happens when
- Week one
Baseline: what the major engines currently say about your business and your category, and where your competitors get cited. Entity and structured-data audit.
- Month one
Foundation shipped: schema across the site, entity cleanup, llms.txt, and the first question-shaped pages targeting what your buyers actually ask.
- Quarterly
Content expands, citations are rechecked against the baseline, and the plan adjusts as the engines change, because they will.
This pairs naturally with SEO: same foundations, two surfaces. If you want to know whether your current visibility problem is markets, rankings, or answers, ask and I'll tell you which, plainly.