Why GEO pricing is so hard to compare
Trying to price a GEO monitoring tool is unreasonably annoying, and it is not your fault.
Three things get in the way. First, add-ons: several tools publish a friendly entry price, then charge separately for the engines you actually care about. Second, currencies: some vendors price in euros, some in dollars, and a euro plan looks cheaper than it is until you pay the card charge. Third, stale third-party pages: half the "best GEO tools" listicles are quoting prices from a pricing page that changed two quarters ago, and nobody went back to check.
Full disclosure before you read another line: we build one of the tools in this comparison. directree GEO Monitor is on the list below at $29 and $79 per month. We are not a neutral referee. What we can do is quote everyone accurately, including where competitors are the better buy, and let you draw your own conclusion.
The comparison table
Prices below are the published list prices at the time of writing. Verify on each vendor's own pricing page before you buy, because these change.
| Tool | Plan | Price | What you get |
|---|---|---|---|
| directree GEO Monitor | Starter | $29/mo | 15 questions. ChatGPT, Perplexity, Google AI Overviews. Weekly scans. |
| directree GEO Monitor | Pro | $79/mo | 50 questions. 5 engines including Gemini and Claude. Weekly scans. |
| OtterlyAI | Lite | €29/mo | 15 prompts. 4 engines (ChatGPT, Perplexity, AI Overviews, MS Copilot). Daily. Gemini and Claude are add-ons. |
| OtterlyAI | Standard | €189/mo | 100 prompts. Same 4 engines. Daily. Gemini and Claude are add-ons. |
| Profound | Starter | $99/mo | 50 prompts. |
| Rankscale | Essentials | $20/mo | Entry-level tracking. |
| AthenaHQ | Starter | $295/mo | Entry plan of a higher-end platform. |
| Evertune | Pro | ~$800/mo | 5 engines, brand-level analysis. |
| Peec AI | — | Pricing on request | Not published. |
| Brandlight | — | Custom / enterprise | Not published. |
Two things jump out. The spread is enormous: the cheapest entry plan is $20 and the most expensive on the list is around $800, for products that all describe themselves as AI visibility monitoring. That is not a market with settled pricing — it is a market where vendors are still guessing what buyers will pay.
And "pricing on request" is a price. It usually means the number is high enough that publishing it would cost the vendor demo bookings. If you are a founder or a small team, treat an unpublished price as a signal that you are not the target customer.
The add-on trap
Here is the pattern that catches people out.
A tool lists four tracked engines in its base plan and looks like great value. Then you notice which four. OtterlyAI's included engines are ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot — and Gemini and Claude are paid add-ons on every plan, including Standard at €189/mo (roughly $206). Not on the cheap plan only. On every plan.
Whether that matters depends entirely on your buyers, so be honest about who they are:
- Gemini is where Google's AI Mode answers come from. If your category gets researched through a Google search box — which is to say, most categories — this is not an optional engine.
- Claude is heavily used in technical and B2B research workflows. If you sell developer tooling, security, data or anything where the buyer is technical, Claude answers are shaping opinion whether or not you are tracking them.
- Microsoft Copilot, which Otterly does include, matters most if your buyers are locked into a Microsoft-first enterprise environment. For a lot of SMB and startup categories it is the least valuable of the four.
So the fair comparison is not "€29 versus $29". It is: what does the plan cost once it includes the engines where your buyers actually are? Run that maths with add-ons included before you compare anything. It is often the whole ballgame.
Weekly versus daily: what cadence is worth
Daily tracking sounds strictly better than weekly, and vendors price it that way. In practice, for most teams, it is not.
AI answers do not meaningfully change day to day. There are three reasons:
- Model weights update every few months, not every night. The underlying model that generates the answer is a slow-moving object.
- Cited pages take weeks to be re-crawled and re-indexed. When you publish the page that should get you cited, the engine will not notice tomorrow. It will notice in a few weeks.
- Day-to-day variation is mostly sampling noise. Ask the same model the same question twice and you can get different brands named. A daily chart of that noise looks like insight and usually is not.
Given all three, a weekly scan captures the real trend and a daily scan mostly captures jitter — at a higher price.
Daily is genuinely worth paying for in one situation: you need alerting. If you are managing a brand where a sudden false or damaging claim in an AI answer is a same-day problem, buy the daily cadence. That is a real use case and a good reason to choose Otterly over us.
What $79 a month actually buys
Since we are one of the tools listed, here is exactly what our Pro plan includes, so you can judge it against the others rather than take our word for it:
- Five engines, no add-ons. ChatGPT, Perplexity, Gemini, Google AI Overviews and Claude, all in the base price. This is the specific thing we set out to fix.
- Fifty buyer questions, brand-free by default. You do not put your own name in the prompt, because naming yourself forces a mention and hides your real baseline.
- Stored answers, not just scores. Every raw response is kept with its citation URLs. When a number moves, you open the actual answer that moved it. A proprietary visibility score you cannot trace back to a response is not evidence.
- A citation gap list. Which pages your competitors get cited from that you do not. This is the most directly actionable output in the product: it turns "we are invisible" into a list of pages to earn, pitch or write.
- Accuracy Watch. Flags when an engine states something about your product that is wrong. Wrong facts are usually a faster, cheaper fix than a missing mention.
- Search versus memory split. Whether the engine answered from a live web search or from what the model already believes. The fix is completely different in each case: retrieval problems are a content and citation problem, memory problems are a long-run reputation problem.
What we do not have: daily cadence, Microsoft Copilot, a big prompt library, or an API today. If those are requirements, buy something else — our full comparison of GEO tools covers who does what.
How to choose without overthinking it
- Start with a free check. Before you pay anyone, find out whether AI engines mention you at all. If you are already named in most answers, you need a cheap monitor. If you are invisible, you need a gap list and a content plan, which is a different purchase.
- Match engines to your buyers, not to the count. Six engines you do not need is worse value than three you do. Write down where your buyers actually research, then pay only for those, add-on costs included.
- Insist on stored evidence. Ask any vendor: can I open the raw answer behind this number, with its citations, six months later? If the answer is no, you are buying a score you cannot audit or defend internally.
- Be suspicious of guarantees. Nobody can promise you a placement in an AI answer. Answers vary by prompt, model version and what the engine can retrieve. A guaranteed AI ranking is a sales claim, not a product feature.
- Buy monthly first. Annual is cheaper per month, but this category is moving fast enough that a twelve-month commitment to any tool, ours included, is optimistic.
Where to go next
If you want to see where you stand before spending anything, run the free GEO check — three buyer questions, no signup, and you can read the actual answers. If you would rather compare the full field first, including tools we think beat us on specific dimensions, read the best GEO tools in 2026.
And if you take nothing else from this: work out the total price with the engines you need included, before you compare a single headline number.
