AI visibility platform
vs agency
This is not really a choice between two products — it is a question of who does which of five jobs: producing evidence, interpreting it, deciding and doing the implementation, carrying accountability for the outcome, and running the re-measurement. A platform is generally strongest at the first and the last. An agency or consultant is generally strongest at interpretation in context and at owning delivery. Most organisations end up combining them, and the useful question is which jobs you can genuinely staff internally.
The free reading costs nothing and commits you to nothing.
Who is typically better at what
| Job | Platform | Agency or consultant | Internal team |
|---|---|---|---|
| Evidence | Consistent, repeatable, produced the same way every time | Varies by engagement; often richer on context | Depends entirely on tooling and time available |
| Interpretation | Generic by design — it does not know your market | Usually the deepest, especially with sector knowledge | Rich on internal context, thinner on outside comparison |
| Implementation | Only where a managed service exists and access is granted | Often the core offering | Fastest where the team owns the systems |
| Accountability | For the measurement being sound | Contractual, for agreed deliverables | Internal, and hardest to make objective |
| Re-measurement | Trivial — the same method run again | Depends on whether the diagnosis is repeatable | Depends on discipline more than capability |
| Independence | Not selling the fix if measurement is separate from delivery | Diagnosis and delivery often sit with the same party | Self-assessment, with the usual limitations |
Consistency, comparability and repetition
A platform's real advantage is that it does the same thing every time. The same method applied to your domain last quarter and this one makes the difference between the two attributable to what happened in between. Applied to a competitor, it puts both on one scale so a gap becomes a distance rather than an impression.
The second advantage is that a measurement taking no self-reported input can be handed to a third party — a client, a board, a partner — as something other than an internal opinion. That property is why separating measurement from delivery is worth something even when the same company can do both.
The limitation is equally real: a platform does not know your market, your constraints, your politics or your roadmap. It can tell you an entity is ambiguous; it cannot tell you that the ambiguity exists because two divisions have been arguing about a brand name for three years.
Judgement, sequencing and getting things actually done
Capable agencies and consultants do things software structurally cannot. They translate findings into a plan that fits your organisation, negotiate the trade-offs, carry the work through other people's roadmaps, and apply pattern recognition from other clients that no measurement of your domain alone can supply.
They are also, in most engagements, the party that actually ships the change. A finding that nobody implements has produced nothing, and implementation is a delivery discipline rather than an analytical one.
The consideration worth naming is that diagnosis and delivery frequently sit with the same party, which is a conflict rather than a criticism — it exists for OG01 too, since OG01 sells remediation. It is managed by the measurement taking no self-reported input, by findings naming specific things in specific places so an inflated list is checkable, and by the re-measurement using the same method, which means overstating a problem produces an embarrassing second reading rather than a bigger invoice.
What "managed" does and does not mean
Which arrangement suits you
- Self-service if you have a capable technical or SEO team and what is missing is an objective diagnosis to work against. Take the reading, take the roadmap, execute it yourselves, and re-measure. This is the cheapest path and it works.
- Agency-led if you have no in-house capacity, or the work is entangled with a rebuild, a migration or a rebrand where sequencing and stakeholder management matter more than measurement.
- Hybrid — the most common outcome. An independent reading sets the baseline and the priorities; your agency or internal team implements; the same reading runs again to check. Splitting diagnosis from delivery keeps both parties honest and gives the agency an external benchmark to be judged against, which good agencies tend to welcome.
- Managed remediation if the work repeats across many properties, or if it needs capabilities like structured data and entity records that your team does not have and does not want to build.
What no arrangement can promise
No platform, agency or internal team can guarantee a ranking, a citation or a mention in an AI answer, because the systems producing those answers do not publish how sources are selected and nobody outside them can verify a claimed mechanism. Nor can anyone commit to a timeframe, since recrawling and third-party sources are outside every supplier's control.
One more limit belongs on a page about choosing a supplier. OG01's Authority Rating is produced by OG01 and by nobody else: no AI or search company issues it, endorses it or recognises it, and it describes conditions observed from outside your domain rather than a standing held inside anyone's system. Treat any supplier's score the same way, including this one, and ask what it is actually derived from.
Decision questions
Do we have to choose between a platform and an agency?
Will OG01 make the fixes for us automatically?
Our agency already offers AI visibility work. Why add a platform?
Can we just use the free score and do everything ourselves?
What does OG01 cost if we only want the measurement?
How do we hold anyone accountable for AI visibility work?
The free reading commits you to nothing and gives whoever ends up delivering a baseline to be judged against.