Structured Data That AI Search Engines Actually Read

The defensible position is to spend an hour on it if you like, and to spend the rest of the week on the things every system already reads: accessible pages, accurate Organization markup, consistent identity and content a machine can quote.

Set those checkpoints at the start. An engagement without agreed intermediate measures gets judged entirely on the final one, which arrives too late to act on and encourages everyone involved to keep reporting motion instead of progress. ai search optimization

Accuracy Beats Coverage The most common real defect is not missing markup, it is markup that disagrees with the page or with the rest of the web. A founding year in your schema that differs from your about page. A logo URL that returns a 404. A contact point nobody monitors.

None of them are harmful. They just consume implementation and maintenance time that would achieve more if spent making the Organization markup accurate everywhere, or correcting the directory listing that has your old address on it.

Assume the pitch is good. Everyone's pitch is good, and the vocabulary in this field is easy enough that a competent salesperson can hold a convincing conversation without anyone behind them who can do the work.

Ask to See Their Own Position This one is unfair and revealing. Ask an assistant to recommend an agency for this kind of work, using a prompt a buyer would write, and see whether the company sitting in front of you appears.

Bring one other person from the business, ideally from sales. They will spot inaccuracies in how you are described that a marketing reader skims past, and they will tell you within minutes whether the prompts sound like real customers. That second opinion costs half an hour and prevents the most common flaw in a self run audit, which is a set of questions written in the company's own language.

The third question matters most. A good answer names a cause, attaches a number and admits an alternative explanation. A weak answer describes activity in the language of effort without connecting it to anything observable.

One thing to establish in week one is where everything lives. The prompt set, the baseline archive, the raw answers and the correction log should sit somewhere you control from the beginning rather than in the agency's systems. Retrieving them later is a negotiation. Having them from the start is an administrative decision nobody objects to at the outset.

Existing reputation helps disproportionately. A brand with review volume, press history and consistent details is starting from a partly assembled record. A brand with none of that is building identity from scratch, and identity work is slow because it depends on re-crawling sources you do not control.

Save the document and the date. In three months you will run the same ten prompts again, and the comparison is the only thing that will tell you whether anything you did in between mattered. ai search optimization

Decide What the Result Means Four outcomes, each pointing somewhere different. Absent everywhere with a clean robots file and no third party listings usually means an identity and coverage problem. Absent with a blocked crawler or an empty non-JavaScript page means a mechanical problem, which is the good news outcome because it is cheap.

How to Run the Ninety Day Review Ask three questions. Can you show me the prompt set is unchanged. Can you show me the raw answers. What specifically did you do, and which of the changes do you believe caused which movement.

One to Three Months: Listings and Corrections Claiming a directory profile, correcting an address, fixing a miscategorisation and responding to reviews all take effect once the platform publishes the change and the page is re-crawled.

Set Up So You Do Not Fool Yourself Open a signed out session, or a fresh one with memory and personalisation disabled. This matters more than anything else in the method. An account that has spent the week researching your own company will show you a flattering picture that has nothing to do with what a stranger sees.

The realistic expectation is that a well written comparison or specification page starts appearing in citation lists within four to eight weeks if the access work is already done. If it has not appeared in three months, the problem is usually that the page argues rather than answers.

Structured data attracts a particular kind of over-investment. Teams implement a dozen schema types, validate them all, and conclude the job is done, having spent most of their effort on markup that changes nothing about how a machine understands the business.

Those recurring domains are the pages your category's answers are being built from. Visit each one, look for yourself, and note whether you are absent, listed with stale details, or filed under the wrong category. That list is your task list, and you did not have to guess at it.

One thing that reliably compresses the timeline is starting the slow work first. Outreach and coverage take months regardless of what else is happening, so beginning them in week one rather than month four moves the whole programme forward by a quarter at no additional cost. Most plans do the opposite, sequencing the slow work last because it is the least certain.