Key takeaways
- A $29 plan and a $99 plan can be the same price per response once you account for prompts, engines and refresh frequency. Always divide the monthly price by the responses you actually get.
- "Prompts" is not a standard unit. Some vendors count one prompt per question, others count keyword fan-outs, and some charge per engine.
- Cheap monitoring tiers and $2,000+ execution platforms solve different problems. Compare cost per response within a category, then compare cost per outcome across categories.
- Check what a response includes: UI data or API output, citations, ads, shopping cards, and country coverage.
- Published prices come from vendors with a stake. Verify on the pricing page and in a trial before you commit.
Why sticker price misleads
GEO pricing pages are hard to compare. One vendor lists "50 prompts." Another lists "500 prompts." A third lists "6,000 responses." A fourth charges less but only tracks one engine. Put those side by side and the cheapest plan is rarely the cheapest per unit of data.
The spread is real. One 2026 pricing guide puts entry-level monitors at around $29 a month and content-execution platforms at $200 to $2,000-plus a month, with enterprise programs often reaching six figures a year. Agencies sit in a different band: OutreachBloom publishes retainers of $3,400 and $4,900 a month, and a Revv Growth guide puts agency pricing at $3,000 to $25,000+. Those figures come from vendors and agencies selling the work, so treat them as one side of the story. I could not independently verify any of them for this guide.
The fix is boring and effective: reduce every plan to one metric. Cost per tracked response.
What counts as a response
A response is one answer from one AI engine to one prompt on one run. That sounds simple. It is not, for three reasons.
Prompts are not responses
If a plan includes 50 prompts and runs them daily on one engine, that is roughly 1,500 responses a month. Geol.ai's pricing roundup lists Profound's entry tier exactly that way: 50 prompts, 1,500 responses a month, ChatGPT only, daily refresh. Run the same 50 prompts weekly on four engines and you get about 800 responses. Same prompt count, very different data volume.
Fan-outs are not prompts
LLMrefs advertises 500 prompts through a keyword fan-out method. That is not the same unit as 500 distinct tracked questions. Promptwatch Data's ChatGPT query fanouts report shows a single prompt can trigger 3 to 8+ separate searches, with the measured average at 2.15 per response in early December 2025, about 1.84 by early March 2026, and 1.0 in April. Fan-out depth moves between ChatGPT updates, so a vendor's counting method also moves your real coverage. On August 8, 2026, ChatGPT began using the site: operator at scale, and searches per response nearly doubled (Promptwatch Data).
A response on one engine is not the same as on another
Promptwatch Data's average sources per response report shows ChatGPT cites about 5 sources per web-search answer, while Google AI Overviews and Perplexity sit near 10. Copilot swung from under 2 to nearly 17 within weeks. A response on a 10-citation engine carries roughly twice the citation data of one on ChatGPT. Citations per ChatGPT response also dropped around the GPT-5.3 rollout on March 4, 2026 (Promptwatch Data), so the value of a response shifts with model updates.
The formula
Use this for every plan on your shortlist:
responses per month = prompts x engines x runs per month x countries
cost per response = monthly price / responses per month
And where the vendor already states responses (for example "6,000 responses"), skip the math and divide directly.
Worked example
Using published entry tiers from Geol.ai's August 14, 2026 pricing pass (a vendor-authored comparison, and Geol.ai lists itself in it):
| Plan | Price/mo | Prompts | Engines | Refresh | Approx. responses/mo | Approx. cost per response |
|---|---|---|---|---|---|---|
| Geol.ai Growth | $29 | 15 | 4 | Weekly | ~240 | ~$0.12 |
| Profound Starter (annual) | $99 | 50 | 1 (ChatGPT) | Daily | 1,500 | ~$0.07 |
| Promptwatch Essential | $95 | 50 | All models | Daily-capable | 6,000 included | ~$0.016 |
The Geol.ai row assumes 4 weekly runs a month. Profound's $99 figure is not first-party verified: Geol.ai says the page obscures the digits and cross-checked it against three secondary sources. LLMrefs at $79 for 500 fan-out prompts across all engines cannot be converted cleanly without knowing how many real responses sit behind those fan-outs. Ask the vendor.
The lesson is not that one tool wins. The $29 plan is the cheapest monthly commitment and the most expensive per response in this table. If you only need a weekly pulse on a handful of prompts, that is fine.
Eight things that distort the number
- Engines included. Some plans lock extra engines behind higher tiers or per-engine fees. Count only the engines you care about.
- Refresh rate. Daily versus weekly is a 7x difference in responses for the same prompts. Daily matters because AI answers are volatile.
- Real UI versus API data. User-facing answers, citations and shopping results can differ from API output. A cheaper API-based response may not match what your customers see.
- Countries and languages. Many plans include a single country. Multi-region brands multiply the response count fast.
- Seats and projects. Agencies should check whether pitch projects or client workspaces cost extra.
- Ads and shopping cards. ChatGPT shows ads and shopping features in some responses (ads data, shopping data). A tracker may or may not capture them.
- Annual versus monthly pricing. Annual discounts of roughly 17% change your effective rate. Confirm which one the headline number uses.
- Credits and caps. Credit-based plans hide the response cost behind an abstraction. Convert credits to responses before comparing.
Three categories, three yardsticks
Pricing guides tend to blur three different products together.
| Category | Typical monthly range | What you get | Right yardstick |
|---|---|---|---|
| Self-serve monitors | $29 to $500 | Prompt tracking, mentions, citations | Cost per response |
| Execution platforms | $200 to $2,000+ | Tracking plus content, crawler data, publishing | Cost per response plus cost per published page |
| Agencies and managed programs | $750 to $25,000+ | Strategy, content, outreach, reporting | Cost per deliverable and per outcome |
Sources for ranges: Pepper's GEO pricing guide, eSEOspace ($750 to $4,000 for plan-based services), Revv Growth, and cloro (mid-tier self-serve at $200 to 500, enterprise programs with content at $15K to 50K). They disagree at the edges. Use them to sanity-check, not to budget.
If a monitor costs $95 and tells you that you are invisible, you still have to pay someone to fix it. A platform that also includes content gap analysis, publishing and crawler logs will cost more per month but may cost less per fixed problem. That is why comparing cost per response across categories misleads.
Where some popular tools land
These are the tools most often shortlisted. Pricing changes often, so confirm on each vendor's page.
Promptwatch lists plans from a free Explore tier (10 prompts, ChatGPT only) through Essential at $95 a month with 6,000 responses and all models, Professional at $245 with 18,000 responses, and Business at $579 with 42,000 responses. Those response counts are stated outright, which makes the math easy: roughly $0.016, $0.014 and $0.014 per response. It tracks the real interfaces of ChatGPT, AI Overviews, Gemini, Perplexity and others, and the higher tiers add the Content Agent, crawler logs and visitor analytics, so you are comparing a monitor plus execution stack. Confirm current prices at promptwatch.com/pricing.
Profound targets enterprise buyers. Its entry tier is limited to ChatGPT per Geol.ai's pricing pass, so the per-response cost rises if you need other engines.
LLMrefs is priced aggressively with all engines included, but the fan-out counting method needs a direct question to the vendor.
Otterly.AI and Peec AI sit in the mid-tier monitoring band. Both are monitoring-focused, so budget separately for whatever turns insight into content.
AthenaHQ combines monitoring and content agents at a higher price point.
For a wider scan, the GEO software directory at bestgeosoftware.com and the AI rank tracking directory at ai-rank-tools.com list far more options than fit in a table.
How to run a fair comparison
Step 1: fix your prompt set
Write down the prompts you actually need. Fifty well-chosen prompts beat 500 padded ones. Include brand, category and competitor-comparison queries.
Step 2: decide the engines and countries
Pick the engines your buyers use. Add countries only where you sell. Everything else is cost you do not need.
Step 3: choose a refresh rate
Daily for volatile or high-stakes prompts, weekly for the long tail. Calculate monthly responses from there.
Step 4: normalize every quote
Build a small sheet with columns for price, billing term, prompts, engines, runs, countries, stated responses and computed cost per response. Mark anything the vendor would not confirm.
Step 5: price the gap between data and action
Add the cost of whatever you must buy elsewhere: content tools, crawler log analysis, an agency, or your own team's hours. An agency retainer at $3,400 to $4,900 a month, as OutreachBloom publishes, includes pillar content, Reddit engagement and earned citations. A tracker includes none of that. Neither is better by default, they answer different questions.
Step 6: test in a trial
Run the same 20 prompts across two or three tools for a week. Compare how many responses arrive, how many include citations, and whether the answers match what you see in the live interface.
Questions to ask every vendor
- Is a prompt one question, or does it expand into fan-outs?
- Do you collect from the live user interface or an API?
- What happens to my response allowance if I add an engine or a country?
- Is the listed price monthly or annual, and does it include all seats?
- How are ads, shopping cards and AI Overviews captured?
- Can I export raw responses and citations?
A vendor that answers these cleanly is usually one you can trust with the rest of the relationship.
A note on sources
Most published pricing comparisons are written by vendors or agencies, including Geol.ai, Meikai, OutreachBloom and Launchmind. Each discloses that stake, some more clearly than others. I used their figures as reference points, not facts. Prices also change quickly. If a number here matters to your decision, check the vendor's pricing page today.
If you hire an agency instead of buying software, the same discipline applies: ask what a month of work contains in deliverables. 1001 SEO Media publishes this site and sells GEO services, so weigh that disclosure the same way you would for any vendor on this list.
Bottom line
Divide price by responses. Then add the cost of whatever the tool does not do. The cheapest monthly plan is often the most expensive per answer, and the most expensive platform is only worth it if it closes the loop from insight to published content. For more research on how AI engines build answers, see the Promptwatch Data hub.