Your buyers ask ChatGPT, Gemini and Perplexity who to hire and what to buy, and the engines answer with a short list of names. If yours is not on it, you lost a customer you never knew existed. Getting on the list is not magic and it is not classic SEO. Here is what actually moves AI recommendations, in the order the evidence supports.
1. Get talked about, not just linked
The strongest known predictor of AI visibility is how often your brand is mentioned across the web, not how many backlinks you have. A study across 75,000 brands found brand mentions correlate with AI visibility at 0.664, three times stronger than backlinks at 0.218. The engines learned to trust names that appear in many independent places: press, industry roundups, communities, directories. One good mention in a publication the engines already cite beats ten reciprocal links.
2. Find out which sources the engines actually read in your market
Every market has its own short list of publications, directories and threads the engines pull answers from. When we scan a niche, the same handful of domains keeps appearing next to the winners' recommendations. That list is your publishing target list. Getting onto two or three of those sources does more than a year of blogging into the void, because the engines are already reading them.
3. Publish pages that are answers, not brochures
Engines assemble answers from content shaped like answers. A page titled with the literal question your buyer asks, answering it in the first paragraph, outperforms a beautiful homepage that says nothing quotable. Comparison pages earn roughly two and a half times more citations than average content, and adding concrete statistics improves citation odds by about 41 percent in controlled research. Write the page your buyer's question deserves and make the numbers in it quotable.
4. Make your site readable by machines
The engines browse with simple fetchers, not patient humans. Structured data (JSON-LD), a clean title and description, question-shaped headings, an llms.txt file, and content that renders without JavaScript all decide whether your pages can be used as a source at all. This is an afternoon of work and it is the cheapest win on this list. You can test any site free in seconds with our AI-Ready Check.
5. Be present where the models learned to look
Reddit threads, Wikipedia, established directories and review platforms shape answers heavily, both because they are in the training data and because they rank in the live searches the engines run. A brand with a real presence in the communities of its niche appears in AI answers roughly four times more often. This cannot be faked with spam; it can be done honestly by actually participating where your buyers ask questions.
6. Cover the whole question space, including the questions nobody answers
In almost every market we scan, some buyer questions come back with fragmented answers or no recommendation at all. Those unanswered questions are the cheapest territory in your market: whoever publishes the clearest answer first tends to become the answer. Finding them requires actually running the questions, which is what a scan is for.
What is wasted effort
- Keyword-stuffed pages written for 2015 Google. The engines quote clear answers, not keyword density.
- Buying backlinks. The mention evidence above is about being genuinely talked about, and the engines are better at spotting the difference than old search crawlers were.
- Obsessing over a single daily rank. AI answers vary run to run; identical prompts return the same brand list less than 1 time in 100. Measure mention probability over many questions and watch the trend.
Measure first, then work the list
Everything above works better when you know where you actually stand: which questions you already win, which competitor owns which question type, and which sources power them. That is a measurement problem, and it is exactly what an AI visibility scan answers in an hour.