Exclusive
Blogs written and structured to get your brand cited and mentioned in AI search results, so buyers find you first.
Buyers describe a problem to an engine rather than typing a keyword. GetXEO models that behaviour and gives you the exact question set your category is judged on.
A keyword list tells you what people type into a search box. It does not tell you what they ask an assistant when they are deciding which vendor to shortlist. GetXEO crawls your domain, builds a profile of what you actually sell, then derives the questions a real buyer asks on the way to a decision. You get a curated set per pillar, each mapped back to the intent it came from, so every page you publish later has a reason to exist.
Every question is run against the engines your buyers actually use, so you start with a number rather than a hunch about where your brand stands.
Each question is put to the engines your buyers use, and the answers are read back the way a buyer would read them. Are you named at all. Is your page the source the answer cites. How often do you appear against the competitors you actually lose deals to. That resolves into one score across AEO, GEO and SEO, with the sub scores visible underneath, so you know which layer is holding you back before you spend a day writing.
Isolated posts do not compound. GetXEO designs an interlinked mesh where every page supports the others, so authority builds across the whole set.
Publishing twenty unrelated posts gives you twenty separate attempts at being cited. A mesh gives you one structure that gets stronger with every addition. GetXEO maps the pillars, the supporting pages under each, and the links between them, so an engine reading any one page finds the rest of the argument. That shape is the difference between a blog that plateaus and one where each new piece lifts what is already published.
Fifty finished blogs a month, each written so a model can lift a passage verbatim and a reader still finds it worth their time.
Every node in the mesh becomes a finished article, not a brief. Each one opens with a direct answer, carries the figures and citations that engines reward, and is structured so a model can quote a passage without losing the meaning. The same page has to survive a human reading it next, because buyers check what an assistant tells them, so the writing is held to a standard a specialist would sign off on rather than a word count.
The same score you started from, re run on a schedule, so you can see the line move and tie the movement to the pages that caused it.
The question set is fixed for six months on purpose, so the score you read in month four is comparable to the one you read in month one. Each scan reports where you now appear, which pages the engines are citing, and how the number has changed since the last run. That turns the programme into something you can defend in a review: this is what we published, this is what moved, and this is what is still open.
Published plans are the starting point. Tell us what you are trying to rank for and we will scope the volume, the timeline and a price built around it.
Twelve months at the deepest rate. For teams committing to a full year of compounding output.
Six months at a reduced rate. Long enough for citations to move, short enough to review.
Three months to prove the model on your own questions before committing further.
Your buyers are already asking AI engines which tool to choose. Make sure your brand is the answer they hear.