AEO vs SEO: what is the difference, and who does AEO well?
SEO counts positions and clicks. AEO counts answers that name or cite the brand. Keep both ledgers.
Field notes on the numbers a revenue team runs on.
SEO counts positions and clicks. AEO counts answers that name or cite the brand. Keep both ledgers.
A sandbox test pass rate can be 99% or 0% on the same data, depending on the denominator. Here is where the figure is made, and what a PR gate with human approval does to it.
A GEO share of voice percentage is a ratio over a prompt set and an engine list that someone chose. Here is how to find both, and what a RevOps team should conclude before paying a consultant.
A weighted pipeline tile and its warehouse model disagree by 300,000 dollars. The gap lives in two hops, and built-in reverse ETL keeps both in one history.
Most Salesforce DevOps vendors require a discovery call before releasing a price. This analysis opens the arithmetic on what a Salesforce deployment pipeline actually costs, comparing per-seat models against published flat rates.
Pipeline coverage is a ratio built on at least four definitional choices: which stages count, which date field sets the window, which deal types are included, and whether the amount field is weighted or raw. Most dashboards make those choices once and never document them.
The approval-rate tile reads 75 percent. Divide by drafted changes and it reads 60. The audit log cannot settle it, because a denied call never reaches it.
Monthly active rows pricing meters a quantity the source system controls. Published credit tiers give a budget a ceiling. The arithmetic, with the assumptions named.
Review time per change is the input nobody writes down. On constructed figures, reading a diff instead of reconstructing a change in the org returns about 8 approver hours a month. Here is the working, and what breaks it.
The governed share on a DevOps dashboard can read 100, 80 or 50 percent for the same quarter. The difference is the definition, not the work.
In a constructed example, one changed probability mapping, three forecast calls, EUR 180,000 of weighted pipeline that was never there. The arithmetic, the assumption under it, and the habit that catches it.
The tile says 67 percent of credits used. The unit behind it is an AI response, and that answers a different question from the one the label implies.