Two vendors quote you for the same job. One says a few hundred a month. The other says several thousand. Neither explains why.
That gap is the real problem with AI visibility tool pricing. The sticker price tells you almost nothing until you know what is being counted.
What you are actually buying
Every AI visibility tool does the same basic thing. It sends prompts to ChatGPT, Perplexity, Gemini and similar engines, reads the answers, and reports whether your brand appeared. Pricing follows the cost of that loop, so it scales with how many prompts you run, how many engines you cover and how often you repeat the run.
Seats, reports and integrations sit on top. They matter less than the first three, though they often decide the final number.
The five levers that move the price
Prompt volume
This is the biggest driver. A plan that tracks 25 prompts and a plan that tracks 500 are different products. Ask how many prompts are included, and what happens when you go over.
Engine coverage
Each engine costs the vendor money to query. Some plans cover two engines and charge extra for the rest. If your buyers use Perplexity and Gemini, a two-engine plan leaves you blind.
Run frequency
AI answers shift from one run to the next. Daily runs show a trend. Weekly runs show a rough outline. Monthly runs show almost nothing. Check which frequency the headline price assumes.
Competitor tracking
Knowing you appear in 30 percent of answers means little until you see a rival at 60. Some tools cap competitors at three or five. Others charge per competitor.
Seats and workspaces
Agencies feel this one hardest. Per-client workspaces can double a bill without adding a single prompt.
Where quotes quietly inflate
Watch for these line items before you sign.
Overage fees per extra prompt
Paid add-ons for extra engines
Annual-only discounts
Locked exports and API access
Onboarding or setup fees
None of these is a red flag alone. Together they can turn a modest plan into a large one. Ask for the all-in monthly figure at your real prompt count.
Match the plan to your stage
Solo founder or small team
You need a baseline, not a dashboard farm. Pick a plan with 30 to 50 prompts, three or four engines and weekly runs. Spend the savings on fixing what the data shows.
In-house marketing team
Prompt sets grow quickly once product lines and regions enter the picture. Budget for a few hundred prompts, daily or near-daily runs, and enough competitor slots to cover your real shortlist. This is where LLM visibility tracking starts to feed reporting.
Agency
Your cost is workspaces. Compare the price per client, not the price per account, and confirm white-label reports are included rather than sold separately.
A quick way to compare vendors
Strip each quote down to one number, cost per tracked prompt per engine per month. It is crude. It is also the only figure that lets you compare a cheap-looking plan with an expensive-looking one on equal terms.
Then ask three questions.
How many runs per prompt are averaged into each score
Whether answers can be exported with their cited sources
Whether historical data stays if you downgrade
The first matters because a single run is noise. The second matters because citations tell you what to fix. The third matters because trend data is the whole point.
What the price should buy you
A tool earns its fee when it changes a decision. If you cannot name one action a report led to, you are paying for a screenshot habit. Good LLM brand visibility data tells you which pages to rewrite, which sources to earn a mention in, and which competitor to study.
Set a review date 60 days after you buy. Write down what you expect to change by then. If nothing moved, downgrade or switch.
Your next step
Pick your ten most valuable buyer prompts today and run them by hand in three engines. Note where you appear and where a rival does. That five-minute test tells you how much tracking you need, and it keeps a vendor from deciding that for you.
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