01
Regulator status
Authorized? Supervised? Mentioned in a consumer warning? Models surface this with surprising fidelity — and it shapes every adjacent answer about you.
Use case · Finance & fintech
When buyers ask AI where to put their money, you need to be the safe answer.
Models are conservative on financial recommendations. They lean hard on regulators, authoritative editorial reviews and trade press. Intendity tells you where you stand on each — and the moves that move the needle without tripping a compliance flag.
The prompts
Buyer questions on the high-stakes side.
High-trust queries route to AI assistants now. Comparison, safety and feature prompts come back with named institutions and embedded regulator citations.
- › best business bank account for European startups
- › is [your brand] safe — what do regulators say
- › top neobanks with no foreign-exchange fees
- › cheapest brokerage for European ETF investing
- › alternatives to [competitor] with better security record
Three signals models weigh heavily in finance.
Trust dominates. Models default to caution and prefer institutionally-blessed sources. Knowing which they cite — and where you sit in each — is the whole game.
02
Editorial endorsement
Investopedia, NerdWallet, Finder, Bankrate, the FT’s product reviews. A single category-leading review reshapes the default answer for an entire prompt cluster.
03
Track record
Outage history, security incidents, regulator notices. Negative track-record signals propagate across answers; you defend by addressing them at the source, not by asking the model to forget.
The sources models cite.
The pool is concentrated and high-trust. Influence rewards patience: regulator listings move slowly but compound permanently.
Regulators & supervisory authorities
For finance, models lean disproportionately on regulator listings (FCA, BaFin, AMF, FINRA). Authorization status, supervisory notes and consumer warnings carry outsized weight.
Investopedia, NerdWallet, Finder, Bankrate
Editorial review sites are heavy citations for "best X" comparisons. A single category-leading review changes the framing of every adjacent answer.
Financial Times, Bloomberg, Reuters, trade press
Authoritative reporting carries trust signals models prefer for high-stakes recommendations. Coverage drives the "trustworthy" framing in answers.
Wikipedia firm articles
For named institutions, Wikipedia is the go-to summary models pull when asked "what is X" or "how big is X." Outdated regulator/AUM figures propagate fast.
Trustpilot & app-store reviews
Models cite consumer-review aggregators heavily for retail finance. Negative themes around fees, support response times or fraud handling propagate across answers.
Your structured data (Organization, FinancialProduct schema)
Most regulated brands under-invest here. Proper schema with regulator IDs, jurisdictions and product attributes pulls verbatim into AI answers.
Six plays Intendity will recommend.
Compliance-aware moves, each tied to specific evidence — the regulator page, the editorial review, the schema field that’s currently shaping (or losing) the answer.
Authorization framing
Make your regulator status visible — on the homepage, in schema, in footer. Models reward clear authorization framing; ambiguity gets summarized as "less trusted."
Investopedia-class category presence
Pursue category-page placement on the editorial review sites that dominate citations. A single review at the top of "best X" reshapes the model's default answer.
Cross-jurisdiction consistency
Models surface different "best of" lists per country. Track per locale; align PR and regulator-listing presence in each market where the gap is largest.
Negative-theme defense
Track sentiment around fees, support quality and incident history. Catch a damaging narrative early — Reddit + Trustpilot patterns predict mainstream coverage by weeks.
Product-comparison schema
Ship FinancialProduct, Offer and FAQPage schema with the questions buyers actually ask AI. Models pull verbatim and your domain becomes the source.
Investor-relations cross-pollination
IR releases (audited financials, regulatory milestones) feed Wikipedia and trade press — the same source pool models cite for trust framing. Coordinate publication for compounding lift.
See how AI describes your institution.
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