Is Your Website Ready for AI Search?

This is the reason the page exists. Answer a few simple questions and the audit shows you a real AI readiness score, a breakdown by the seven things AI search checks, and the short list of fixes that matter most. See your score with no login. Then let us fix your real site.

Your AI Score is a number that shows how ready your website is for AI search. AI search is when people ask a tool like ChatGPT, Google AI, Perplexity, or Claude a question instead of scrolling a list of blue links. Those tools read the web, pick a few sites they trust, and read the answer out loud. Your AI Score guesses how likely your site is to be one of the sites they pick. A high score means the machines can find you, read you, and trust you enough to quote you. A low score means they skip you and quote someone else, even if your business is better.

AI search picks sites the same way a smart friend picks who to quote. It looks for clear answers, proof you know your stuff, and a page that is easy to read. The strongest signal is clarity: pages that answer the question fast get cited far more than pages that ramble. Trust signals like a real author and real experience come next. After that it looks at your page structure, your schema, and whether other trusted sites talk about you. The big shift is this: AI does not reward the longest page. It rewards the clearest, most trusted, most quotable page.

A fast, fresh page beats a slow, old one almost every time. AI tools lean on content that was updated recently, and pages refreshed in the last 30 days get cited far more than stale pages. Pages that have not changed in over 18 months mostly fall out of AI answers. Speed matters too. If your page is slow or jumps around while it loads, both people and machines lose trust. Aim for a page that loads in under two and a half seconds and stays stable. Old search forgave a slow, dusty website. AI search does not.

Structured data is code that tells AI exactly what your page is about. People can read your page and understand it. Machines guess unless you tell them in their own language. That language is schema markup, like FAQ schema, Author schema, and Organization schema. Pages with proper schema have a much higher chance of showing up in AI answers because the machine does not have to guess what you mean. It is one of the few fixes that is invisible to your customers and loud to the machines. Most small business sites have none of it.

AI search wants proof a real expert stands behind the page. That proof is called E-E-A-T: experience, expertise, authority, and trust. In plain words, AI trusts a page more when a real named person wrote it, when that person clearly knows the work, when other trusted sites mention the business, and when the page shows real data or sources instead of fluff. Most AI citations actually come from earned mentions on other sites, not from a brand bragging about itself. So the trust you build off your site shows up in the answers AI gives about you.

An answer object is a short, self-contained block that answers one question all by itself. Think of a clear opening answer, a quotable stat, a small table, or a tight FAQ. AI search loves these because it can lift the block straight into its answer. Content built as answer objects gets cited far more than the same facts buried in long paragraphs. This is also why question-shaped headings work: they match how people ask AI, and they hand the machine a clean question and answer pair. The whole page you are reading is built this way on purpose.

Raising your AI Score is not about writing more. It is about building each page so a machine can read it, trust it, and quote it. Start by answering the question in the first sentence of every page. Add schema so machines know what the page is. Speed the page up and keep it fresh. Put a real author and real proof on it. Use clean headings and answer objects. Then earn mentions on other trusted sites. You can chase these one at a time, or you can start with a site that is built this way from day one. That is what we build.