Robo-advisor signups are a high-comparison purchase. The same prospect typically opens three or four platform tabs in one evening, compares advisory fees, ETF expense ratios, account types, tax-loss harvesting thresholds, and minimums, and only signs up when one platform answers the small specific question that pushed them over the line. SleekAI runs that conversation on your marketing site at 11pm: it walks through your fee schedule, explains the account types you support, describes how the tax-loss harvesting actually triggers, and books a call with sales when the question is something the bot is not allowed to answer.

The compliance framing is built in. The system prompt instructs the bot to share general information about your platform without recommending specific securities, projecting personalised retirement income, or opining on a prospect's particular tax situation. When the question is advice-shaped, the bot describes what your platform does in that situation and defers the specifics to a licensed advisor or to the documentation. When the question is about fees or disclosures, the bot surfaces your Form ADV Part 2A, Form CRS, and the relevant prospectuses automatically.

SleekAI is reading your marketing pages, FAQs, and disclosures from WordPress (any post type, postmeta, taxonomy, or ACF field) and passing them into the model context. The bot quotes the same numbers your pricing page does, references the same ETFs in your portfolios, and uses the same language your help center does, so the visitor sees consistent answers regardless of which page they landed on.

Robo-advisor marketing sites sit in an awkward compliance position. The platform is a registered investment adviser, the marketing pages are advertising, and the chat layer that connects the two is regulated correspondence under the SEC's Marketing Rule and FINRA equivalents where applicable. A generic chatbot does not know any of that.

It is happy to recommend a specific portfolio, project a retirement income number, or compare your platform to a competitor in language the compliance team will quietly hate. None of those failures are catastrophic individually, but they accumulate into a compliance review nobody wants. SleekAI is designed around the assumption that the value of a chatbot on a robo site is consistency.

The bot needs to describe fees the same way on every page, surface disclosures on every fee question, route advice-shaped questions to humans, and refuse to characterise competing platforms in detail. That behaviour is enforced by the system prompt and the guideline filter, and it is visible on every conversation log. The other half of the value is conversion.

A robo signup is a high-comparison purchase and the prospects most worth converting are the ones with specific questions, the tax-loss harvesting threshold, the rollover process, the supported custodians, the ETFs in the aggressive portfolio. Those questions are exactly the ones a marketing FAQ struggles to keep up to date and exactly the ones a chatbot reading your live pages can answer reliably. The combination of accurate answers on the conversion-driving questions and consistent refusals on the compliance-sensitive ones is what makes a guardrailed chatbot a better fit for a robo marketing site than a generic one, and it is what the system-prompt configuration in SleekAI is built to enforce on every single conversation.