Compare
Comparisons built on published prices, on a stated date.
Every comparison here reads the vendor's own pricing page, records the date it was read and how the price was obtained, and says plainly where a competitor is the better buy. We sell in these categories, so the method is written down on each page rather than summarised.
The underlying dataset is published as first-party research on gregshevchenko.com: 21 tools priced twice, with an Internet Archive cross-check that corrected five errors in our own sheet.
Available now
Pick the category you are buying in.
Content layer
ContentOS vs a content SaaS stack
Four content licences at published tiers, the pick-one alternatives beside them, and the three places the licence stack still wins.
Whole stack
Marketing agents vs a SaaS stack
Ten licences at published tiers next to our own infrastructure bill, with the boundary on both numbers and the list of tools this stack does not replace.
AI visibility
Profound alternatives, compared on published prices
Profound, Otterly, Peec, AthenaHQ, Scrunch and AIVO — published tiers read on 21 July 2026, what each plan meters, and where measurement stops.
More comparisons are in production. If the category you are buying in is not here yet, the platform pages carry the same numbers for each module.
What we measured
21 tools, priced twice
In May and again in July 2026 we priced the same 21 AI search and SEO tools. Fifteen published a price our fetcher could read from the served HTML, five rendered it only in a browser, and one publishes no price on any tier. Those readings are what these comparisons are built from.
What it costs
$29 to $1,020, then a conversation
Published tiers for dedicated AI visibility platforms span roughly $29 to $1,020 a month. Every vendor in that set ends in a quoted tier, and none publishes what a second or tenth client costs — so agency budgets cannot be built from pricing pages alone.
Why the categories blur
The shelf labels stopped matching
Tools filed as SEO or content platforms now sell AI-search visibility on their own pages — six of seven were already doing so before we noticed. Buying against a clean "GEO tool versus SEO tool" split sends you to the wrong questions on a vendor call.
The standard
What every comparison here has to do.
Most vendor comparisons are written once and left to rot. Prices move, tiers get renamed, entry plans quietly drop an engine, and the table keeps saying what it said in spring. We published a study in July 2026 that found five errors in our own procurement sheet — four of which made our position look better than it was. These four rules exist so that does not happen again on a page a buyer might act on.
01 · Dated
Every price carries the date it was read
Not "as of 2026". The day. A tier without a read date is a rumour, and this category reprices faster than most comparison pages get updated.
02 · Sourced
Only what the vendor publishes
Figures come from the vendor's own pricing page, never from a third-party roundup or an estimate we constructed. Where a page publishes no price, the table says so instead of guessing.
03 · Attributed
How the price was obtained is recorded
Some pricing pages render in plain HTML; others need a browser. Each row says which, so you know which figures rest on a machine reading and which on a human one.
04 · Disclosed
We say where a competitor wins
We sell in these categories. A comparison that never concludes against us is marketing, not analysis, so each page names the buyer for whom the other product is the better fit.
Not sure which category you are actually buying in?
A 30-minute call that opens with a per-engine citation map of your category and an honest read on whether any tier fits — including a competitor's.