What An AI SEO Agency Should Report Every Month

Treat your marketplace listings as primary marketing assets rather than as a sales channel afterthought. Check the specifications match your own, that the product name is identical and that the category is right. A listing contradicting your own site creates exactly the inconsistency that stops mentions resolving.

Results Split by Intent, With Run Counts Not one number. Mention rate reported as a fraction with the run count visible, broken out by prompt tier, so buying intent is never blended with definitional questions.

This means a single answer engine optimization is a sample. Being absent once is not evidence of a problem and being named once is not evidence of success, and treating either as a result is the most common analytical error in this field.

A Claim About Causation, Stated as a Claim The most valuable paragraph in the report is the one that says what moved and why the agency believes their work caused it, phrased as a judgement rather than a fact.

Month Two: Corrections and the First Rewrites The work should now be concentrated on the recurring sources from the baseline. Expect a list of listings claimed, details corrected and errors submitted, with names and dates attached.

One test separates a report written to inform from one written to reassure. Read it and try to write down a question it does not answer. In a good report you will find several, because it contains enough specifics to make new questions obvious. In a padded one you will struggle, not because everything is covered but because there is nothing specific enough to interrogate.

Why One Snapshot Proves Almost Nothing Generation involves randomness, and retrieval can return different pages between runs. The same prompt asked twice in a row can produce different companies in different orders.

You are unlikely to read all of it, and its presence changes the incentives entirely. An agency that knows the raw evidence ships with the report writes a different summary than one that knows it will not be checked.

Use the first quarter to learn how they handle bad news, because there will be some. A rendering problem nobody anticipated, a correction request refused, a rewritten page that earns nothing. How those get reported in month two predicts how a flat quarter will be reported in month eight, and it is far easier to change supplier at ninety days than at a year.

Treat markup as something with a maintenance cost rather than a one off implementation. Prices change, people leave, products are discontinued, and structured data quietly keeps asserting the old version long after the visible page has been updated. Adding a schema review to whatever process already updates your pages costs minutes and prevents the most damaging failure mode, which is confidently stating something that is no longer true.

Good versions read like this: mention rate on evaluation prompts rose from two in fifteen to six in fifteen, which we attribute to the three directory corrections completed in week two, though a competitor also stopped publishing during the same period.

Watch the source list as closely as the mention rate, because it usually moves first. New citations from a directory you corrected are a leading indicator, and they typically appear a month or two before any change in whether you are recommended.

What to Do First Run five prompts describing a purchase your best customer would be making, from a signed out session, and see what gets named and cited. Then check whether your product data survives with scripts disabled, and whether your name and identifiers are consistent across every listing you can find.

Also check the assumption underneath your own targets. Many teams still carry ranking goals inherited from a period when position and traffic moved together. A target expressed as positions gained is now measuring something that no longer reliably converts into visits, and leaving it in place quietly directs effort toward the metric rather than the outcome.

Work Completed, in Countable Units Listings claimed, with names. Errors corrected, with the source and what was wrong. Pages published or rewritten, with URLs. Technical changes made, with dates. Outreach attempted and its outcome, including refusals.

Product recommendations are a harder case than service recommendations, because the answer has to be specific enough to act on. A model naming a product is committing to a name, usually a price band and often a comparison, and it needs sources confident enough to support that.

Audit for contradiction before adding anything new. Run your key pages through a validator, then read the output against what the page actually says and against your main directory listings. Contradictions are more damaging than gaps, because they actively undermine confidence in the record.

The monthly report is where an engagement is either accountable or theatrical, and the difference is visible from the first page. A useful report can be argued with. A padded one cannot, because there is nothing in it specific enough to disagree about.