Most AI visibility work dies in the same place. The report gets read, the gaps get understood, everyone agrees it matters — and then nothing on the site changes, because "improve our AI visibility" is not a task anybody can pick up on a Tuesday.
The Actions screen exists to close that gap. It takes everything the other screens found and turns it into a list of specific, checkable jobs.
Its value is not that it tells you more. It is that it tells you less, in a form you can actually start.
Where the List Comes From
Nothing on this screen is generic advice. Every item exists because a check ran against your domain and returned a result. Two sources feed it:
Those two lists are merged, de-duplicated and grouped, so an issue appearing on nine pages arrives as one task rather than nine.
A REPORT
A TASK LIST
Before the List Exists
If the screen is empty, nothing is broken — nothing has been checked. The list is assembled from results, so it needs results.
Two things populate it:
Step 4 is not optional bookkeeping. Until a check re-runs you have made a change, not a fix — and half of "done" changes turn out not to have landed.
Open vs Completed
Above the categories sits a switch between Open and Completed, each with a count.
Open is the work: checks that failed or came back partial, plus the content recommendations, which have no automatic "done" signal and stay open until you re-audit.
Completed is everything already passing — registered, verified, in place. It is not a list of things you ticked; it reflects what the last run actually found.
Read Completed once, at the start. It is the fastest way to see what you do not need to worry about.
It is also where a regression shows up first: something sitting in Completed for months and suddenly appearing in Open means an infrastructure change broke it, not that your content got worse.
Reading the Category Groups
Tasks are grouped into collapsible categories, each showing how many items it holds and how many of those need fixing. The grouping is by subject, not by urgency — which is deliberate, and worth understanding.
Grouping by category means all your schema work sits together, all your content work sits together. You do one pass over structured data instead of jumping between a robots.txt edit, a heading rewrite and a schema fix in the same hour.
But category order on screen is not the order to work in.
The categories inherit their sequence from the systems that produced them. The order that gets a list finished is different, and it is below.
Inside a Task
Opening an item gives you three things:
Steps
A numbered sequence of what to actually do — usually four to six lines, ending in a verification step. If a task has steps, follow them literally; they are written against the check that will decide whether it passed.
Why it matters
The reasoning, broken into points rather than a paragraph. This is where you decide whether the task deserves your week. Not everything does, and skipping deliberately is very different from skipping by accident.
Generated Content
For some tasks, a ready-made file or block of markup, written for your domain. Covered next, because it is the part people miss.
The Generated Content
A handful of tasks come with the artefact already built — an llms.txt listing your real pages, a sitemap.xml reference, a robots.txt configured to allow AI crawlers and point at your sitemap.
These are the highest-value items on the screen for the simplest reason: the work is already done. Copy, deploy at your root, open the URL in a browser to confirm it loads, re-run the check.
Two cautions worth taking seriously:
Turn Findings Into a List You Can Hand Over
ApexaRank.ai merges every registration check and content-audit recommendation for your site into one prioritized task list — with steps, reasoning, and the files already written.
CHECK YOUR AI VISIBILITYWhat to Do First
A long list is only useful if the first few items are the right ones. This order holds for almost every site:
Roughly in ascending order of effort and descending order of certainty — the first band is quick and reliably matters, the last is slow and depends on the rest being done.
Making a Long List Finish
The failure mode here is not disagreement about the tasks. It is volume. A screen with forty open items reads as a project nobody has time to start.
Take five, not forty
Five items closed this week beats forty triaged and abandoned. Close them, re-check, and let the next run produce the next five.
Batch by category, not by priority
Doing all the schema tasks in one sitting is faster than doing the three highest-priority tasks across three different systems. The screen groups this way for exactly this reason.
Decide what you are not doing
Read the reasoning and skip openly. A low-priority note on a page that will never be an answer target is a legitimate no — and an explicit no keeps the list honest.
Close the loop before adding more
Re-run the checks on what you did before auditing more pages. Otherwise the list grows faster than it shrinks, which is how it stops being read.
Populate the List
Run the registration checks and audit a few pages first — the list is built from those results.
Open the Access Categories
AI Crawlers and Discovery Files before anything else. They gate everything below them.
Deploy the Generated Files
llms.txt, sitemap reference and robots.txt are written for you. Copy, deploy, verify.
Batch by Category
One schema pass, one content pass. Context-switching is what kills these lists.
Pick Five for the Week
A list of forty gets abandoned. A list of five gets done and shows up in the next run.
Re-check to Close
A task is finished when the check moves to Completed — not when you edited the file.
Common Mistakes
Working top to bottom
Category order is grouping, not scheduling. The first category on screen is rarely the first thing to fix.
Deploying generated files unread
They are good defaults built for your domain, not a reading of your site's private paths. Two minutes of review, then deploy.
Calling a task done without re-checking
Open to Completed is the only reliable signal. Changes that "should have worked" frequently did not.
Auditing more instead of fixing
More audits produce a longer list, not a better one. The list is already longer than this week.
Frequently Asked Questions
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