How to Improve Your AI Visibility in 2026

When someone asks ChatGPT or Perplexity “best accounting software for freelancers” or “how to set up SSO for Slack,” the model doesn’t just guess—it pulls from real sources and often links to them. If your content never shows up in those answers, you’re invisible in a growing share of search behavior. Improving AI visibility means making your site the kind of source these systems actually use: clear, attributable, and technically easy to crawl and cite.

Start With One Question: “Would an AI Quote This?”

AI answers are built from snippets that directly address the user’s question. Vague intros, buried takeaways, and pages that never state the answer in a quotable way get skipped. For every important page, ask: “If I quoted two sentences from this, would they stand alone as an answer?” If not, add a clear, concise answer near the top and under a descriptive heading. That single change often has the biggest impact.

Give Models Something to Attach To: Schema and FAQs

Organization schema on your homepage tells models who you are and that you’re a real entity. Without it, great content can go uncited because the system doesn’t know how to attribute it. Add it once, keep it accurate.

FAQPage schema turns your FAQ into something models can reliably parse and cite. Use real questions people type into search or ask support—not filler. Each item should be one question and one short answer. This is one of the highest-leverage technical steps for “What is…?” and “How do I…?” queries.

Article or Product schema (where it fits) helps for blog posts and product pages. It clarifies type, title, and sometimes author or brand, which improves the chance your page is chosen as a source.

Make Your Site Easy for AI to Discover and Cite

llms.txt (or ai.txt) at your site root is a small file that tells AI crawlers your site name, a short description, and key URLs. It’s not a ranking factor in the old sense, but it helps crawlers discover and attribute your site correctly. Use our free llms.txt generator to create one, then put the file at yourdomain.com/llms.txt.

Canonical URLs and clean titles matter when the model surfaces a link. Confusing or duplicate URLs make it harder for users to trust the citation and for systems to consolidate your authority. One canonical URL per topic, with a title that matches the content.

Track What’s Working

You can’t improve what you don’t measure. Run a free AI visibility check to get a baseline: which pages are “ready” for citation, and which are thin or poorly structured? If you use Pro, track which prompts and models actually cite you over time. Double down on the content and formats that show up; fix or consolidate the rest. Prioritize the pages that align with high-intent queries (buying, comparing, how-to) rather than trying to optimize everything at once.