What An AI SEO Agency Should Report Every Month

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.

That means an unlinked mention in a trade publication can be worth more here than a linked mention in a low quality outlet, which inverts the priority most digital public relations programmes were built on.

A false trade off gets invented early in most of these projects. Somebody proposes stripping the design, flattening the copy and restructuring everything around what a crawler finds convenient, and somebody else correctly points out that this would make the site worse for customers.

Track three things over time: how often you are named, which sources get cited when you are, and which competitors appear alongside you. Movement in the second of those usually predicts movement in the first.

What Not to Do in the Name of Legibility Hidden text intended only for machines fails on every axis. It is detectable, it violates most guidelines, and it produces exactly the uniform low quality signal you were trying to avoid.

Publish the Pages Assistants Reach For Certain formats get quoted far more than others because they answer a question directly and can be lifted without distortion. Comparison pages, alternatives pages, definitional explainers, specification tables and honest pricing pages all fall into this group.

The difficulty with this proposal is that it asks for money before the problem is visible in any report the business already trusts. That is a genuinely hard sell, and overselling it is the fastest way to lose credibility when the numbers stay small for two quarters.

The Mechanism Has Changed A link passed authority through a graph. A mention in a generated answer works differently: the publication's text is retrieved, read and used as evidence about what your company is and whether it is worth recommending.

Run each one across the assistants your customers use, and write down the answers verbatim. Do this from a signed out session so your own history does not colour the result. What you want at the end is a simple table: which prompts named you, which named competitors, and which sources got cited.

One preparation step is worth the effort. Before the meeting, check whether anyone in the business has already noticed something relevant: a customer who mentioned an assistant, a support ticket citing wrong information, a salesperson who was asked about a competitor comparison they had not seen. Internal anecdote carries disproportionate weight because nobody can dismiss it as vendor material.

The Rendering Question This is the one real technical constraint. Content that only exists after JavaScript executes may be invisible to a retrieval fetch, which is not a browsing session and does not always run scripts.

Ask for one change and see what happens: request the raw answers and the run counts. An agency doing the work sends them the same day, since they already exist. One that does not will explain why the format makes that difficult. ai visibility agency

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.

Include Something Worth Attributing A citation needs something to point at. Passages that contain only sentiment give a model nothing, which is why brand pages full of adjectives are passed over in favour of a competitor's specification table.

There is a specific moment worth picturing. Somebody types a question into an assistant asking who they should use for the thing you sell. A short list comes back. If your name is not on it, you were never in the running, and unlike a search results page there is no second page for them to try.

A Reasonable Sequence Fix rendering first, since content a machine cannot see is the only total failure in the list. Then work through your commercially important pages one at a time, moving the direct answer to the top and replacing the vaguest paragraph with concrete figures.

One warning worth stating plainly: none of this means writing for machines. Content that reads as if it were assembled for extraction tends to get treated as low quality by both readers and systems. The goal is writing that a person would find unusually clear and direct, which happens to be exactly what a model can quote. ai visibility agency

Show the Cheap Failures First Before asking for a programme, ask for permission to check whether you are readable. Crawler access, rendering without JavaScript, listing accuracy on the sources your prompts cited.

And do not let anyone rewrite your entire site in the flat, listicle heavy register that is currently fashionable in this discipline. It reads as machine assembled to human beings, and content that reads that way tends to be treated as low quality by both audiences.