The ordering rule, stated plainly
Every table on this page is sorted by verified entry price, ascending, within its group. Tools with no
published price, or a price we could source only from a third party, sort last within that group. That
rule is stated here so you can check it against the tables above: nowhere does a higher-paying affiliate
arrangement move a row up. Today that check is trivial, since we are enrolled in no programme at all and
every "pays us" cell reads NOTHING. The day that changes, this paragraph and every affected cell change
with it, and the change is logged permanently at corrections.
Why "brand mentions" and "citations" keep getting conflated
Every tool in the first table blends both into one dashboard, several under a single "visibility" score.
The distinction is not academic. Ahrefs found that branded web mentions correlate with Google AI Overview
visibility at Spearman 0.664, against 0.218 for backlinks, roughly three times stronger, across a 75,000
brand sample. But the same study calls both correlations "moderate to very weak" in absolute terms, a
caveat the marketing version of this stat routinely drops. Full grading:
the evidence ledger.
Reddit is a clean example of how badly a blended score can mislead. Profound's 680-million-citation
dataset shows Reddit is the top-cited source on Google AI Overviews (2.2%) and Perplexity (6.6%), but
second to Wikipedia on ChatGPT, the largest engine, at 1.8%. "Reddit is the most-cited source in AI
answers" is true for two engines and false for the one with the most users. Full grading:
the evidence ledger.
What we would actually do with a budget
Buy the cheapest tool that names its methodology and treat the number it gives you as a weather vane, not
a speedometer. Do not buy a second one to "cross-check" the first: Kevin Indig's Consensus Gap study
found only 2.37% overlap in cited URLs across ChatGPT, Perplexity and Google AI Overviews, so two trackers
covering different engines will disagree by construction, not by error. Full grading:
the evidence ledger.
Pricing tier strategy: which tool at which budget
Entry-tier tools (£99–£299/month) like Peec AI and Rankscale appeal to bootstrapped founders and small
teams trying their first visibility experiment. You get monthly snapshots of whether your brand appears in
AI results at all. The constraint is query coverage—tracking 25 to 100 keywords means you miss niche
topics where you might be the only visible source. The monthly rescan means you cannot spot weekly volatility
or validate whether a specific tactic moved the needle. These tiers work best when you already have baseline
visibility and want a simple "is this trending up or down?" dashboard. If you are invisible and need to
understand why, these tools tell you nothing beyond "not mentioned."
Mid-tier tools (£299–£799/month) like Nightwatch and Gumshoe add unlimited keyword tracking, weekly rescans,
and crucially, source identification. You begin to see not just whether you are cited but which specific
publications, Reddit threads and databases cite you. This is where ROI measurement becomes possible, because
you can connect visibility gains to specific content or publication placements launched the week before.
Nightwatch's detailed Active Citations feature lets you identify your highest-leverage sources and
concentrate future media relations there. At this tier, tool spend becomes justifiable by data: if you spent
£2,000 on a PR retainer and the tool shows citations from the three publications your PR agency placed you in,
you have proof the investment worked. Without the source-level detail at entry tiers, you have only a number.
Premium tier (£1,000+/month) tools like Profound are built for teams running AI visibility as a central
business metric, not an experiment. The premium buys you scale (tracking thousands of keywords across dozens
of models), historical archive (to spot long-term trends), and dedicated account management for translating
data into strategy. A team committing £12,000 annually needs tool reliability high enough to report to the
board. Profound's 680-million-citation dataset allows cross-engine analysis that mid-tier tools cannot
surface. But the catch: premium tiers assume you have already proven underlying visibility work (publication
placement, thought leadership) moves your metrics. Buying premium before validating that is like buying a
Ferrari to test-drive to the shops. Start at mid-tier, prove the work moves the needle, then upgrade.
Hidden costs and total cost of ownership
A tool subscription is never the full cost. Every tier requires internal labour: reviewing the dashboard
weekly (2–4 hours), interpreting what changed and why (3–5 hours), investigating discrepancies when two tools
disagree (2–3 hours monthly), and translating findings into action (variable). At £40/hour loaded cost, that is
£400–£600 monthly in internal labour on a £299 tool subscription—a 2x multiplier on the software cost. Many
organisations budget the software but not the labour, which is why adoption stalls. A team subscribing to
Gumshoe at £349/month but allocating nobody to act on the insights is burning £349/month for a dashboard
nobody reads. The ROI only arrives when you assign the interpretation and action labour. Second hidden cost:
tool churn. Most organisations trial a tool for 3–6 months, get disappointed when visibility does not move
(because the underlying visibility work was not funded), and cancel, having learned nothing except "tool spend
does not work." That is a £1,500–£3,000 lesson in misallocation, not tool failure. Third hidden cost: the
false sense of precision. An entry-tier tool showing "your visibility improved from 12% to 15%" feels precise
but masks volatility of ±20 percentage points month-to-month. Your team makes decisions based on the 3-point
move (change content strategy, adjust PR focus, shift budget allocation) when the move is likely noise. A £300
monthly subscription licensing noise costs more in bad decisions than the software itself.
Narrower comparisons if you have already shortlisted:
Peec AI alternatives and
Otterly vs Peec vs Scrunch. Every claim above is
graded and sourced in the evidence ledger. Our commercial interest
in each tool named here is published on who pays us.