Investment advisor sites are explanation-heavy. A prospect lands on the page wanting to know how the firm actually invests money: passive indexing, factor tilts, direct indexing, tax-managed strategies, or something more bespoke. They want to know fees, minimums, and what working with the advisor looks like for the first six months. SleekAI runs that conversation on your site at any hour: it describes your philosophy in your own language, quotes your fee schedule, and surfaces your ADV Part 2A and Form CRS the same way a careful intake coordinator would.

The compliance posture is built into the system prompt. The bot is configured to share general information about your firm's services 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 is covered in an engagement and defers the actual modelling to a CFP at your firm. When the question is about fees or conflicts, the bot links ADV Part 2A, Part 2B, and Form CRS automatically.

SleekAI is reading your service pages, philosophy write-ups, fee schedule, and advisor bios from WordPress and passing them into the model context. The bot quotes the same numbers the engagement letter does, describes the same strategy your white paper does, and uses the same disclosure language your ADV does, so the visitor sees consistent answers regardless of which page they landed on.

Investment advisor marketing is a strange genre. The pages are advertising, the firm is a registered investment adviser, and the chat layer connecting the two has to behave like both: warm enough to convert a curious visitor and tight enough to keep the SEC's Marketing Rule and the firm's own compliance program intact. A generic chatbot is bad at the second half.

The model is happy to recommend a specific portfolio, project a retirement income number, or compare your strategy to a competitor's in language the compliance team will quietly delete from any other piece of advertising. None of those failures are individually catastrophic, but they accumulate into a chat layer that nobody on the team feels comfortable sending real prospects to, which defeats the purpose of having one at all. SleekAI is built around the assumption that the value of a chatbot on an investment advisor site is consistency.

The bot needs to describe the firm the same way every time, surface the same disclosures on the same kinds of questions, and route the same advice-shaped questions to the same credentialed humans. That behaviour is enforced by the system prompt and visible on every conversation log. The other half of the value is conversion.

Prospects worth converting tend to ask specific questions, fee tier breaks at $2M, whether the firm supports an SMA, what custody looks like at Fidelity versus Schwab, how the strategy handles concentrated positions. Those are exactly the questions a marketing FAQ struggles to keep current and exactly the questions a chatbot reading your live pages can answer reliably. The combination of accurate conversion-driving answers and consistent compliance-shaped refusals is what makes a guardrailed bot a better fit than a generic one, and it is what the system-prompt configuration in SleekAI is designed to enforce on every conversation, every day, without the drift a human intake team will show across hundreds of conversations a month.