AEO pricing sells observation by the prompt and action by the drip

AEO pricing is cut on units that measure observation: tracked prompts, models covered, credits that pay for AI responses. Action is on the ladder too, but it is metered in far smaller increments. On the published entry plan of one platform the ratio is 125 tracked prompts to one page optimization a month.

What does AEO pricing meter?

Three platforms, read on 2026-09-28. Scrunch lists a Core plan at $250 a month with 125 unique prompts, 5 site audits a month, 5 user licenses, four models, 1 page optimization a month and basic content generation. Its Enterprise plan is custom priced and adds an agent experience layer, API access and nine models.

AthenaHQ lists a Starter plan at $295 a month with 3,600 credits, where its page defines one credit as one AI response. Extra credits and API access are paid add-ons billed on top. Enterprise is custom. Profound lists a free trial of 50 prompts run daily for seven days, and a custom Enterprise plan on which its AI Marketer runs on credits.

The axis is usage, not seats. Seats are secondary: five licenses on Scrunch Core, unlimited on Profound. The metering unit is a proxy for how much the platform watches, and it is the unit that grows as an account scales.

What does the ratio between the units signal?

Take Scrunch Core as printed. 125 prompts against one page optimization is 125 to 1. That does not mean the platform is unable to act. It means the entry plan is designed around the observation half of the loop, with action sampled rather than supplied.

Do the arithmetic on AthenaHQ's published definition, assuming a response is one model's answer to one prompt. Tracking 100 prompts across 11 models is 1,100 responses per full run. 3,600 credits covers about three full runs a month. Weekly tracking would need roughly 4,400 credits, so the account is already buying add-ons before it has spent a credit on action.

A gate that blocks is different from one that nags. The prompt cap blocks: reach it and tracking stops. The credit allowance blocks in the same way. Entitlements that let the platform act sit further up, in the enterprise plans, where the price is "custom". Read this way, AEO pricing is a statement about where the vendor expects an account's effort to go.

What does one account pay as it moves up?

An illustrative account, with invented usage. It starts on an entry plan at roughly $250 to $295 a month, hits the prompt or credit ceiling in the second month, and buys add-ons or moves to a custom plan. On the way up, observation expands, and the account has more findings than the entry plan's single monthly optimization can address.

Nothing here is a criticism of the platforms. A monitoring plan priced by prompt is a coherent product, and credits are a fair way to charge for model calls. The point is narrower: read the unit before reading the price. Findings scale with the cheap unit and action scales with the expensive one, and that is the boundary the structure is designed around. An account that acts on every finding needs the upper tier; an account that cannot act on them still climbs to see more.

AEO pricing on this ladder therefore rewards accounts with a team able to turn findings into pages, and taxes accounts without one. It also has an honest counterpart: the platforms are adding agents that draft and stage work. Profound's homepage says its AI Marketer identifies the work worth doing, drafts it and asks for approval. That is real action. It still ends in a person approving, and the credits that pay for it are part of the meter.

Where does the ladder break?

It breaks on the account with no approver. An agent that drafts forty pieces a month is a queue for whoever signs off, and the packaging does not price that person. At forty-five minutes of review per draft, forty drafts is thirty hours a month, roughly a fifth of a full-time role, and none of it appears in AEO pricing. Packaging and positioning disagree here: the pages sell an AI teammate, while the metering unit sells a bounded amount of its time.

What would a different metering unit change?

Meter delivered work instead of observation. Checkpoint GTM is positioned that way, as an embedded team that stays on the account and owns the pages, so the unit is the finished, published answer and not the prompt that found the gap. Under that unit, AEO pricing stops rising with the number of findings and follows the output the buyer actually needs. For a team that cannot approve, structure and publish at the pace a platform drafts, that is the stronger arrangement.

It carries its own trade-off. A team is a larger fixed commitment than a $250 plan, and it fits poorly for a company that has strong content capacity and only needs the measurement. There, the monitoring plan is the cheaper purchase.

What can the packaging not tell an observer?

The plans cannot show how many drafts an average account approves, how many credits go to observation versus action, or how many accounts add outside help. Published tiers state what a platform counts. Until a vendor publishes approvals completed per credit spent, AEO pricing should be read as a description of what the software meters, with a separate line in the budget for whoever turns its output into pages.