Buyers asking about AI visibility pricing face two very different price points: a software license from about $129/month, or an agency retainer from a few thousand dollars a month. The gap looks like a ripoff, or the tool looks like a trap. It is mostly neither. This is a cost comparison that prices both sides honestly — including what the tool genuinely is good at, and what no tool can deliver.
The tool landscape in one table
Feature and pricing claims below are from each vendor’s own site, per vendor site, 2026-10. We are not affiliated with any of them.
| Tool | What the vendor’s own page says (2026-10) | Entry pricing (per vendor site, 2026-10) |
|---|---|---|
| Ahrefs (Brand Radar + free AI tools) | Brand Radar tracks your brand’s presence in AI answers; plans include tracked AI prompts (5 on Lite, 10 on Standard, 20 on Advanced), daily updates, 150–600 AI checks/month. Also publishes free standalone AI visibility checkers. | $129/mo Lite; $199/mo Brand Radar AI add-on; custom prompt packages from $50/mo with per-check overage (https://ahrefs.com/pricing) |
| Profound | Trial plan tracks 50 unique prompts daily for 7 days across ChatGPT, Gemini and Google AI Overviews. Enterprise (custom) tracks up to 9 answer engines, with API, exports and SSO/SAML. | Free trial; Enterprise custom (https://www.tryprofound.com/pricing) |
| Semrush | The vendor publishes pricing and AI-visibility features on its own site; we did not quote it here. | Check the vendor site (2026-10) |
| open-seo (open-source stack) | The measurement stack this site runs: keyword data, rank tracking, AI-visibility checks. Self-hostable; we run it hosted. | ~$10/mo hosted + API cents (per our about page) |
Three observations before the comparison:
- The tools are cheap, and they should be. Anyone telling you otherwise is selling you the tool, not the visibility. The open-source row is the ceiling on what “own the measurement” should cost.
- The tracked-prompt limits matter more than the feature list. Five tracked prompts is a demo, not a program. A B2B SaaS money-query map is 20–50 queries across multiple surfaces; the plan that covers that is the Advanced tier or above, or the custom-prompt packages with their overage billing.
- A tool is a camera, not a photographer. Every one of these will show you where you stand. None of them will tell you what the finding means for next quarter’s revenue, or fix the page.
What tools cannot deliver
Four things, in order of how often they bite:
- Scheduled runs on YOUR money queries. A tool runs whatever you configure, in whatever shape it wants you to. Choosing the 20–50 queries that actually move revenue, phrasing them the way buyers phrase them, and re-running them on a schedule so the data is comparable month to month — that is a decision, not a setting. Tools make the setting easy; they don’t make the call.
- Judgment on what a finding means. “You are absent on query #7 in Perplexity, position data shows the competitor’s new pricing page took your citation” — so what? Is that a content gap, a structured-data gap, a stale page, or a query nobody buys on? Every raw finding needs a revenue-weighted call: fix now, fix later, or drop. The tool prints the finding; the call is the product.
- Fixes, implemented and verified. The actual work — comparison pages, JSON-LD, pricing transparency, llms.txt, doc rewrites — happens on your site, in your stack, with someone accountable for each change. No tool ships that, by definition.
- A person on a contract who owns the number. When the number moves, someone explains why. When it doesn’t move, someone explains that too, and what the next experiment is. A dashboard has no owner; a service does.
The honest frame: a tool sells data; a service sells the data plus the calls plus the work plus a name on it. The price gap between the two is the price of the last three.
The agency pricing context
For the “service” side of the comparison, the most complete public dataset we know of is First Page Sage’s GEO & AEO pricing report, published October 7, 2026 (https://firstpagesage.com/seo-blog/geo-aeo-pricing-statistics/). Two figures, from its summary of 1,146 price quotes from 214 agencies:
- Median GEO/AEO retainer: $6,850/month (up 66% since Q1 2024).
- Median traditional SEO retainer: $4,740/month — GEO/AEO retainers now run 45% above SEO retainers.
One label matters here: the publisher is itself an agency — First Page Sage sells GEO/AEO retainers, and its published range for its own services sits within the market’s Growth tier. Take the dataset as the best market snapshot available, and take the conflict of interest with it.
Even discounted, the anchor is useful: the market’s median price for “someone runs your GEO/AEO program” is $6,850/month for one client. Most of that price is senior time making calls and doing fixes — not software licenses, which cost the hundreds of dollars shown in the table above.
Where a $500–1,000/month ops layer sits
The pricing we publish on the about page: a one-time setup (query map, harness stood up on your queries across four surfaces, first scorecard, top fixes implemented) and a $500–1,000/month managed ops layer. That sits between the tool and the agency retainer, and it is not a rounding error — it is a different shape of product:
- For you if: you are a B2B SaaS founder or CMO, the money queries are 20–50 (not 2,000), and the decision you want made is “is this worth more effort this month” rather than “here is a dashboard with 4,000 rows.” The stack running underneath is the cheap open-source one; what you are paying for is the running, the judging, the fixes, and the one-page report where someone owns the number.
- Not for you if: you have an SEO-literate in-house team with time to spare — buy the $129–449/month tool, configure it well, and you have most of the measurement. Or if you want the full-service agency shape (content volume, digital PR, multi-market, senior staffing) — that is what the $6,850 median is buying, and that is a legitimate need, just not this one.
- For agencies: the same ops layer runs white-label under your brand, with your client and your reporting — covered separately in the white-label ops post.
One more honesty note, because it shapes how you should read any price in this category — including ours: we do not promise AI referral-traffic volume, and neither should any tool vendor. The published data says the referral base is small even while it grows fast. What a $500–1,000/month ops layer promises, and what a $6,850 retainer should promise, is the measured, defended number: citation share on your money queries, month over month, with the reasoning attached. Everything else is a bonus you should be charged less for, not more.
Next step: if you want to see what the output looks like before comparing prices, the free quick check runs your money queries across the four surfaces and sends back a snapshot scorecard — the same shape as the monthly report. It is the cheapest way to judge whether the tool, the service, or both is the right fit for your site.