Any honest assessment of AI search visibility has to start with an uncomfortable fact. A large majority of the pages AI assistants cite most frequently sit on domains that no amount of budget or outreach can reach.
This is the point Royston G King makes to clients before any visibility engagement begins. The Forbes 30 Under 30 Monaco honouree studied business at the University of Southern California, has since been accepted into Columbia University, founded Master Scaling in 2018, and later added Quantum Scaling Partners as its selective personal brand arm. A contributor to Entrepreneur and a member of the Forbes Communications Council, he argues that firms omitting this constraint are selling an outcome the mechanics do not support.
Analysis of the pages ChatGPT cites most often has found roughly two-thirds sitting on reference works, government domains, educational institutions, app stores, and major wire journalism. These are structurally closed to brand influence. No pitch gets a company into an encyclopedia entry it does not qualify for. No campaign manufactures a government citation.
This reality is rarely stated plainly by firms selling AI visibility services, because it shrinks the addressable opportunity. But understanding it is what separates a workable strategy from wasted spend. Sorting every opportunity into three tiers makes the allocation decision obvious.
Tier one is unbuyable. Reference works, government and academic domains, app stores, and major wire journalism. The correct posture here is hygiene rather than acquisition. Where an organisation already has a presence on a reference platform, keeping it accurate and properly sourced is worthwhile. Attempting to manufacture a presence that does not meet the platform’s own inclusion standards is worse than doing nothing, because removals leave a record that is itself discoverable. The productive ambition in this tier is to be the next source cited after the unbuyable one, providing the specific answer a general reference cannot.
Tier two is earnable, and it is where the work belongs. Community discussion threads, video content, professional networks, trade publications, review platforms, comparison content, podcasts, and specialist press. Every item in this tier represents a third party describing an organisation in a context the system already trusts. This is where the large majority of budget should sit, because it is the only tier where effort reliably converts into citation.
Tier three is owned and insufficient on its own. A company website, its documentation, case studies, and blog. This material matters, but datasets consistently show brand-owned content underrepresented relative to earned coverage across every major engine. Owned content works as a closer once an organisation is already in the consideration set. It rarely functions as the opener.
The budget implication is direct. Many organisations currently invert this, spending heavily on owned content production, moderately on technical optimisation, and little on earned third-party coverage. The citation data suggests the opposite allocation.
Within tier two, a few patterns improve returns.
Community threads are cited at the thread level rather than the community level. The unit of value is a specific discussion, typically one with a genuine question in the title and detailed comparative answers naming multiple options. Depth in a small number of relevant communities outperforms shallow presence across many.
Video is systematically underused. Because the transcript functions as the citable object, saying the category, the specific claim, and relevant names clearly and early in plain language matters more than production quality. Accurate full transcripts and thorough descriptions carry the weight.
Review and comparison platforms occupy a structurally advantaged position because they consist of third parties describing an organisation with attributes attached, which is precisely what retrieval systems want for comparison queries. Volume, recency, and detailed review text all contribute.
The honest framing to give any client or executive team is that a substantial portion of the citation landscape is permanently out of reach, the remaining portion is genuinely competitive, and success comes from disciplined work in the earnable tier rather than from attempting the impossible or over-investing in the insufficient.
Strategies that promise comprehensive AI visibility without acknowledging this structure are selling something the mechanics do not support.
Strategies promising comprehensive AI visibility without acknowledging this structure are, in King’s view, selling something the mechanics cannot deliver. Quantum Scaling Partners sets the expectation at the outset instead.
To learn more about Royston G. King, visit his official website. You can also follow him on Instagram, connect with him on LinkedIn, and watch his content on YouTube.
