W Wellspent
The next recommendation layer

The future of
advisor discovery
is structured.

ChatGPT and Claude now carry months of context about your prospect: the RSU vest in June, the move to New York, the aging parent with a trust. Your firm website carries a headshot and a credentials list. Wellspent closes that asymmetry with structured, machine-readable data about what you actually do, so the model has something real to match against.

Founding cohort Fee-only only Pricing locked through 2026 for early members
The category shift

Search is leaving keywords behind.

The next decade of client acquisition won't look like the last. The people trying to find a trustworthy fee-only advisor are asking models, not browsers.

Yesterday
  • "financial advisor near me"
  • Static firm website
  • Google ads & SEO tricks
  • Ten blue links, skim the first three
  • Referral or nothing
Tomorrow
  • "A fee-only planner in Montana who handles crypto and pre-IPO equity"
  • Structured, machine-readable expertise
  • Contextual, personalized recommendations
  • Three names surfaced by an AI with a reason for each
  • Discovery at the moment of need
Why generic pages fall short

Your website was built for a search engine that's going away.

An AI answering "who should this client talk to?" needs structured facts: fee model, geography, specialty depth, client type, credentials. Most advisor sites give it a headshot and a contact form.

Wellspent captures what you're actually good at in a form those systems can read. Nothing to rewrite on your site. No ad slots.

How Wellspent works

Three layers. One compounding presence.

01

Canonical record

One structured profile of your practice: who you serve, where, how you charge, what you specialize in, what credentials back it up. Every field linked to a source you can point to.

02

Structured graph

That record connects to specialties, geographies, audiences, and credentials across 2,400+ fee-only advisors. It's the layer AI discovery tools are starting to query against.

03

Distribution

Your record shows up on the Wellspent discovery surface, and active members rotate into quarterly press cycles with our financial-media partners.

Reach beyond AI

The graph feeds the press, too.

The same canonical record that AI systems read anchors our quarterly press cycles. Active members rotate into coverage with our financial-media partners by specialty fit and editorial calendar.

  • Forbes
  • Financial Times
  • Business Insider
  • CNBC
  • Yahoo Finance
  • Kiplinger
  • Reuters
  • USA Today

Plus the growing network of Wellspent-owned properties.

Why membership compounds

Membership compounds because the record is yours.

A listing is a line on a page. A canonical record is a node in a graph. Nodes appreciate as the graph grows.

Year 1

Your expertise is captured as structure. You appear on the specialty, geography, and audience pages you fit, with verifiable facts behind each inclusion.

Year 2

The graph grows. New guides and niche pages surface you in contexts generic SEO would never have reached. Updates flow to every surface at once.

Year 3+

You are a known entity in the AI-mediated discovery layer: cited by recommendation systems, surfaced in structured answers, and distinguishable from the undifferentiated middle.

Where the leverage is

What you've been doing. And what Wellspent does for you.

The shift isn't from "marketing" to "no marketing." It's from one-off effort that doesn't compound to one durable record that does.

What you've been doing What Wellspent does
Updating fifty surfaces by hand One edit propagates everywhere
Spending $5,000+/mo on Google Ads Pay once a year, the record compounds
Buying shared SmartAsset leads at $200+ each Rotate into press cycles instead
Hoping SEO eventually catches up Already indexed by AI assistants
Generic firm bio for everyone Structured specialty depth that AI can match

Membership is $890/year (or $89/month). See pricing →

Proof layer

The graph is already public.

Our discovery layer publishes canonical records, specialty pages, local pages, and guides. It's a crawlable, citation-aware surface that AI systems are already ingesting.

Visit the discovery layer →
2,516 advisors tracked
1,925 firms tracked
16 structured specialties
59 US + Canada regions

The clearest match wins.

Membership secures your place in the next recommendation layer while it's still being built.