Industries
Focused on B2B fintech first. Built to travel.
A niche is how a small company gets good quickly. B2B fintech is where we start because the query space is dense, the purchase is considered and the difference between being recommended and being absent is measured in six figures.
Current focus
Why B2B fintech.
Not because it is fashionable. Because the conditions that make AI search visibility valuable are all present at once.
- High customer value. One additional customer justifies a year of work, which changes what is worth doing.
- Complex products. Buyers research extensively and ask specific, answerable questions — exactly the queries where expertise beats volume.
- A dense comparison query space. Best X, X versus Y, X alternatives, best X for Y. The archetypes where AI answers are most influential and most measurable.
- Crowded categories. Many credible vendors means the answer names three or four, and being one of them matters enormously.
- Real budgets and real marketing teams. There is someone to work with, and someone accountable for the number.
- Suited to recurring optimisation. The landscape shifts with regulation, funding and product launches, so the work is genuinely ongoing rather than dressed up as ongoing.
Segments
Where we are strongest.
Payment platformsDense comparison space, heavy integration-led search.
Banking and BaaS APIsDeveloper documentation is often the best-performing content.
Expense management and spend controlHighly comparative, review-platform driven.
Accounting and finance automationIntegration and migration queries dominate.
KYC, AML and identityRegulatory questions carry real informational demand.
Fraud and risk technologyTechnical buyers, specific and answerable questions.
Lending and credit infrastructureLong consideration cycles, high contract value.
Financial infrastructure and B2B fintech SaaSCategory ambiguity makes entity clarity unusually valuable.
Beyond fintech
What transfers, and what has to be rebuilt.
The method is vertical-agnostic. The inputs are not. Anyone claiming a single playbook works everywhere has not looked closely at either end.
Transfers
- The measurement method and every metric definition
- Query archetypes and the generation process
- Technical accessibility and rendering diagnostics
- Evidence-chain analysis
- The entity consistency framework
- Agent architecture and the whole reporting layer
Must be rebuilt per vertical
- Which third-party sources actually carry weight
- The review platforms and directories that matter
- Buyer language and how questions are phrased
- The intent mix — local intent dominates in some verticals and is irrelevant in others
- Regulatory and compliance constraints on content
- Who the credible experts are and what credentials mean anything
Verticals the architecture is designed to reach
B2B SaaS beyond fintech
The closest adjacency. Same archetypes, same review platforms, less regulatory friction on content.
Professional services
Expertise-led, credential-sensitive, and heavily influenced by who else vouches for you.
Clinics and healthcare
Strong local intent and a high accuracy bar. Content standards have to rise, not relax.
Hotels and hospitality
Dominated by aggregators and review platforms, with location-qualified queries throughout.
Real estate
Local, seasonal, portal-dominated. Entity and location consistency carry most of the weight.
Your category
If the buying decision involves research and a shortlist, the method applies. If it is impulse or pure price, it probably does not.
See where you stand in AI search.
An AI Search Audit tells you how often AI systems name your company, who they name instead, and what is causing the gap. Every figure comes with the method behind it.