Three categories of cost
Counting only the subscription understates the investment. A realistic figure includes at least these parts.
- Tools: subscriptions, scan quotas, API calls, monitoring.
- Labour: writing, maintaining evidence, fixing technical issues, running retests.
- Opportunity cost: site rebuilds, documentation rewrites, and roadmap time.
Measure what you can actually observe
Three metrics work: appearance rate across a fixed question set, the position inside the answer, and whether citations lead to trackable outcomes.
The first two are directly collectable by asking your question set on a schedule. They do not depend on any platform reporting.
Mistake one: treating a mention as traffic
A model frequently answers without a click. Counting visits therefore measures the opposite of what happened, and attributing conversions from it overstates the return.
Mistake two: judging from a single snapshot
Answers drift for reasons unrelated to your work. Without a fixed question set and a fixed cadence you cannot separate improvement from ordinary fluctuation.
Mistake three: ignoring opportunity cost
Teams frequently let SEO content decay while pursuing AI visibility, losing more organic traffic than they gained in citations. Treating GEO as an upgrade to existing content avoids that trade.
A workable order of work
- Fix the technical base first: robots, schema, accessibility.
- Build the source of fact: product details and cases as quotable pages.
- Establish measurement: a fixed question set and a baseline.
- Expand only the topics already shown to work.
With limited capacity this order returns the most per unit of effort, because every later step depends on the earlier ones being sound.