What problem does Work solve?
It fixes the gap between finding a problem and getting it done. Most search tools are good at telling you what is wrong. The fix then goes into a spreadsheet or a separate project tool, and the reason for it gets lost on the way.
Work keeps the two together. A task made from an AI answer that gets your prices wrong still links to that answer. A task made from a content gap still shows the pages AI engines cited instead of yours. Whoever picks it up can see why it matters.
How does it work?
Most tasks follow the same path, from finding to measuring.
- Create the task from the evidence. Send an accuracy issue, content opportunity or QA Finder question to Work. The evidence and links come with it.
- Plan it. Place it on the board or timeline, assign it and add a checklist.
- Do the work. Use comments to discuss it. For content tasks, you can generate a full article draft.
- Get sign-off. Send it for client or manager approval in the sign-offs view.
- Measure the outcome. If the task links to an issue, prompt or page, the platform records a baseline and checks later whether it moved.
What views are there?
Work has seven views, each for a different job.
- Board. Tasks grouped by status, for day-to-day running.
- List. Every task in one place.
- Plan. Work laid out ahead, for the month or quarter.
- Timeline. Tasks on dates, to see what lands when.
- Sign-offs. Items waiting for approval.
- My work. Your own tasks, and nothing else.
- Updates. Recent changes and comments across tasks.
How are outcomes measured?
This is the part we care about most. When a task is linked to something the platform tracks, it records a baseline at the start. It then measures later whether things changed. The table shows what is measured for each kind of link.
| Task linked to | What the platform measures later |
|---|---|
| An accuracy issue | Whether AI answers stop giving the wrong detail |
| A prompt | Whether visibility on that prompt rose |
| A page | Whether the page got cited, or clicks rose |
Accuracy issues go a step further. They are marked fixed when later answers stop saying the wrong thing. That gives you a clear record of which fixes held, which is useful for your own planning and for showing a client what their budget did.
It helps to be honest about what this shows. AI answers vary from run to run, and many things change at once. A measured rise after a task is a good sign, not proof on its own. Over a few months, the pattern across tasks is what tells you where effort pays off.
Where do tasks come from?
Tasks can be created by hand, but the most useful ones come from the rest of the platform.
- Answer accuracy issues, with the engines that got it wrong and a suggested fix.
- Content opportunities, with the AI analysis, facts to use and an outline.
- QA Finder questions, with where each question was found.
Page work has its own home too. The optimisation checklist on page optimisation records who did what and when for each URL.
What does a client see?
Clients with their own login see only their own workspace. They can give sign-off on work without seeing anything that belongs to another client, since each workspace is kept apart at the database level. Staff can also keep answer accuracy hidden from client users until they choose to turn it on. That gives you time to check the findings and plan the fixes before a client reads them.
Why does it matter for AI search?
GEO work is often lots of small fixes. Correcting a directory listing, adding a paragraph to a service page, updating a profile. Each one is easy to forget and hard to credit. Keeping them in one place, tied to evidence and measured afterwards, turns a list of chores into a record of what moved your AI visibility.
Who uses it?
Agencies use Work to run delivery across clients, with client sign-off and recurring templates for monthly jobs. The agencies page covers that setup. In-house teams use it to show leadership what was done and what changed. Solo consultants use my work and the daily digest to keep several clients on track.
Where it fits
Work sits between finding and reporting. Answer accuracy and content opportunities create the tasks. Content packs and drafts help with the writing. Client reports show the month's work and results to the people who pay for it.