How much do AI visibility and GEO tools cost per month?
99Visibility Research · Updated October 21, 2026 · 5 min read
Short answer
AI visibility and GEO tools usually price on four units: how many prompts or keywords they track, how many AI engines they query, how often they run audits, and how many brands you can add. Free plans cover quick snapshots. Paid tiers scale those four units. Many vendors do not publish prices, so compare what one unit buys rather than the sticker price.
Key takeaways
- Monthly price is set by four units: prompts or keywords, engines, audit frequency and brands.
- A tracked prompt is a proxy, because engines rewrite queries before they search.
- Per-engine results matter more than a single blended score, since engines behave very differently.
- Tracking tells you where you stand, while fixing access and wrong facts is what you can actually change.
- No plan at any price can promise citations, rankings or a score.
What drives the monthly price
Every AI visibility tool sells some mix of four units. Price rises as you buy more of each.
- Prompts or keywords. Each one is a buyer question the tool asks AI engines on your behalf. More prompts means more API calls for the vendor.
- Engines. Each engine (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews) is a separate call, often with its own search fee. Anthropic's web search tool docs, for example, list $10 per 1,000 searches plus tokens.
- Audit frequency. Running the same prompts weekly instead of monthly multiplies the vendor's cost.
- Brands. Agencies and multi-brand companies pay for extra brand slots.
So the honest way to read any price is: prompts × engines × runs per month, across your brands. A cheap plan that runs rarely can cost more per answer than a pricier one that runs often. For a longer breakdown, see what drives GEO tool pricing.
The next move: before you compare vendors, write down how many buyer questions, engines and brands you actually need.
What one plan unit actually buys
A tracked prompt sounds precise. It isn't quite. OpenAI's help page on ChatGPT search says it typically rewrites your query into one or more targeted queries before sending them to search providers. Google may fan out across subtopics. So the prompt a tool tests is a proxy for queries nobody outside the engine can see.
Two more limits apply to every tool, whatever it costs:
- Retrieval is discretionary. As of October 2026, ChatGPT decides per query whether to search, and Claude.ai search is a user toggle. Any score averages answers given with and without live web access.
- Engines are not interchangeable. Google's AI features documentation says AI Overviews and AI Mode may use different models and techniques. In Otterly's 2,000 AI blogs experiment, Microsoft Copilot produced 2,718 of one site's 3,934 tracked citations while ChatGPT and Google's AI surfaces almost never cited it.
What this means for buying: pay for per-engine results you can read separately, and treat any single cross-platform number as the vendor's model, not a measurement.
A published price list as a reference point
Plenty of vendors hide prices behind a demo call. Published plans make comparison easier, which is why transparent pricing is worth asking for. As one reference, here is how 99Visibility's plans are structured:
| Plan | Price | Keywords | Audits a month | Brands | Platforms |
|---|---|---|---|---|---|
| Free | $0 | 5 | 1 | 1 | 2 |
| Starter | $49/mo | 25 | 15 | 1 | 5 |
| Growth | $99/mo | 50 | 50 | 3 | 5 |
| Pro | $149/mo | 100 | 150 | 5 | 5 |
The pattern is common across the category: the jump between tiers is mostly more keywords, more audit runs and more brands. Engine coverage often stays fixed once you pay. Use this as a template for reading other price sheets, not as a ranking of vendors. If engine coverage is your main concern, see the cheapest way to cover ChatGPT, Perplexity, Gemini and Claude.
Costs that do not show on the price sheet
Some of what you pay for is hidden in how the tool measures.
- Logged-in noise. OpenAI notes ChatGPT may use saved memories when rewriting a search query. A tool that measures logged in cannot reproduce its own results.
- Score changes. If a vendor changes its scoring formula, old and new scores stop being comparable. Ask whether scores carry a formula version.
- Tracking without fixing. A dashboard tells you where you stand. It doesn't tell you that your firewall returns 403 to OAI-SearchBot, or that your pricing only appears after JavaScript runs. Those access problems are the levers with the strongest evidence. The difference is covered in tracking tools vs fixing tools.
- Wrong facts. If AI answers state your prices incorrectly, the cost is lost deals, not a lower score. Fixing AI answers that get your pricing wrong walks through that.
A critical survey of 45 GEO studies (arXiv 2607.14035, July 2026) found no technique with a stable, cross-platform causal effect on discoverability. Be wary of any plan priced on promised uplift.
How to choose a plan before you pay
- Run a snapshot first. The free checker on this site answers up to three buyer questions and scores the result. It's a snapshot, not continuous tracking, but it tells you whether the problem is worth a budget.
- Count your real units. List the buyer questions that lead to revenue. Most teams need fewer than they think.
- Pick engines by where your buyers ask. Pay for engines you will act on.
- Match frequency to change. Monthly is enough unless you are shipping fixes and want to see them land.
- Ask what is measured. Retrieval state, logged-out testing, and per-engine scores separate a useful tool from a noisy one.
- Check for fixes. A plan that flags wrong facts and blocked crawlers gives you something to do on Monday.
For a fuller checklist, read how to choose an AI visibility tracking tool.
Frequently asked questions
Is a free AI visibility plan enough?
For a first look, often yes. A free plan or free check shows whether AI engines name you for a handful of buyer questions on a couple of engines. It won't show trends, and one run can't separate answers given with and without live web search. Upgrade when you have fixes to verify over time or need more engines and questions.
Why do tools charge per prompt or keyword?
Each prompt triggers paid calls to every engine the tool queries, and many engines charge separately for web search. Anthropic's web search tool docs, for example, list $10 per 1,000 searches plus tokens. More prompts, more engines and more frequent runs all multiply that underlying cost, so vendors pass it on per unit.
Is paying for more engines worth it?
Only if your buyers use them. Engines draw on different indexes and behave differently. In Otterly's experiment, one engine cited a site thousands of times while others barely cited it at all. Coverage matters most when each engine is scored separately, so you can see where you are missing and act on that engine.
Should I pay for daily or weekly tracking?
Usually not at first. AI answers vary from run to run, so frequent tracking mostly measures that noise. Monthly runs suit most teams. Higher frequency earns its cost when you've just fixed something concrete, such as unblocking a crawler or server-rendering your pricing, and want to see whether answers change.
Will a more expensive plan improve my AI visibility?
No. A plan buys measurement and recommendations, not outcomes. No tool controls what AI models say. What you control is access: letting the right crawlers in, making sure your firewall doesn't block them, rendering key facts in HTML, and correcting wrong facts on your own site. A pricier plan just tracks more of that.
Sources
This page is AI-assisted. It was written from a verified evidence base and checked against our editorial policy. Engine behaviour changes often; facts are as of October 21, 2026.