Does AI search visibility actually matter for financial services firms?+
Yes, because regulated finance answers are conservative, and models prefer sources whose authorisation status is verifiable. Those questions are increasingly asked of an assistant first, and the shortlist that comes back is the shortlist that gets contacted. Comparison sites will happily occupy the shortlist position you leave empty, and they charge you for the lead afterwards.
What is the single most common problem you find in this category?+
Rates and eligibility are hidden behind an application, and authorisation details appear only in a footer disclaimer. It is usually fixable within a few weeks because the underlying data already exists internally; it simply is not published in a form a machine can read.
Which attributes matter most here?+
Product terms and rates, eligibility criteria, authorisation and registration numbers, fees, coverage, complaint procedures. Those are the dimensions buyers state when they ask, so those are the dimensions an assistant matches against.
What kind of third-party signals help in financial services firms?+
Regulator registers, comparison services and consumer protection bodies dominate the sources. We prioritise those specific sources rather than chasing generic link volume, because relevance and verifiability matter far more than count in AI retrieval.
How is this different from ordinary SEO?+
It shares the technical foundations — crawlability, rendering, structure — but the target changes. Classic SEO competes for a position in a list; this competes to be the source a model paraphrases, which rewards explicit data, honest qualifiers and independent corroboration.
How quickly do we see movement, and what does it cost?+
Long-tail and comparison questions typically shift in 30–90 days once the data and pages ship. The forensic audit is $4,500 and ongoing engagements are scoped per brand. Implement our 90-day plan and if you do not see movement in 3–6 months, we refund our fees in full.