About Us

Call Us: 858-799-0007

Does AI Know Your Business Exists?

Your Rivals' Clients Already Do. 🚨

The $1.15 trillion professional services market is undergoing a fundamental shift. If AI can't find you,

Your next high-value client won't either

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Hey I'm Daisy!

Founder of the ARCHITECT™ Framework and Former $10M Healthcare Staffing CEO

Daisy turns brand vision into answer-ready systems. As a Certified AI Consultant and Fractional CAIO/CMO at DW Conceptz, she built ARCHITECT™—an AEO-first framework that maps your entity graph, codifies FAQs and schemas, and aligns content, data, and automations so AI assistants recommend you.

Her specialty: translating offers and expertise into structured signals (entities, schema, KPIs, workflows) that drive measurable visibility, trust, and conversion for SMBs. In short, Daisy makes AI say your name on purpose.

Your Blueprint for AI Recommendation

Dominance.

Get your FREE 'Professional Services AEO Implementation Blueprint'

and discover how to become the AI-recommended expert in your field

Unmask your firm's AI visibility

Implement the proprietary ARCHITECT™ Framework

Get a 90-day strategic plan for AI recommendation dominance

Why Choose Us?

The ARCHITECT Framework™ - Futuristic Layout

The ARCHITECT Framework™

A

AUTHORITY - Establish Unshakeable Industry Leadership

Build E-A-T expertise credentials that AI systems recognize and trust, positioning your business as the definitive industry authority.

R

REACH - Maximize Your Digital Visibility

Structure content in AI-readable formats for maximum citation potential across all major AI platforms.

C

CONTENT - Create AI-Preferred Information

Align content with AI training patterns and user intent models to become the preferred source for answers.

H

HIERARCHY - Design Information Architecture

Create semantic information architecture that enhances AI comprehension and improves content discoverability.

I

INTENT - Match User Search Behavior

Target high-value answer queries across all major AI platforms to capture qualified prospects.

T

TECHNICAL - Build Solid Foundation

Implement structured data and semantic markup for enhanced AI discoverability and indexing.

E

ENTITY - Connect Knowledge Networks

Build knowledge graph connections that reinforce topical authority and establish business relationships.

C

CITATION - Become the Trusted Source

Create research-grade content that AI systems prefer to reference and cite in their responses.

T

TOPICAL - Dominate Your Subject Area

Establish subject matter dominance across interconnected content clusters for maximum market authority.

What is Included?

Here's what you get:

⭐⭐⭐⭐⭐

90-Day AEO Implementation Plan with weekly action steps.
Industry-Specific Content Templates to position your firm.
AI Visibility Audit Checklist for self-assessment.
Compliance Guidelines for ethical AEO implementation
Client Communication Scripts optimized for AI-driven Marketing.

STILL NOT SURE?

Let's Get You Seen

What is ARCHITECT™ Framework?

ARCHITECT™ is a systems design method that turns brand strategy into an answer-ready blueprint—covering information architecture, schema, FAQs, proof, tracking, and SOPs—so AI assistants confidently recommend your business.

What is Answer Engine Optimization (AEO) and how is it different from SEO?

AEO structures your business signals (entities, schemas, FAQs, reviews, outcomes) so AI assistants understand and recommend you. SEO mainly optimizes pages for search engines and rankings.

What is the AEO Blueprint?

A practical playbook: AI Visibility Audit → Entity map → FAQ & comparison content → Schema implementation → Proof (reviews/case studies) → Tracking & KPIs → Publishing SOPs.

Who gets the most value from ARCHITECT + AEO?

Professional services, healthcare practices, multi-location/local brands, and B2B SaaS/services that need consistent assistant recommendations (not just classic search clicks).

What problems does this solve?

Invisible in AI answers, weak entity graph, missing/thin schema, fragmented FAQs, inconsistent NAP, sparse proof, and no KPI framework to measure visibility and conversions.

What deliverables do we receive?

Entity map, schema plan, FAQ library, comparison page outlines, sitemap/IA, tracking spec (events, conversions, UTM rules), KPI dictionary, review/case-study templates, and publishing SOP

How fast can we see results?

Most teams see early wins in 60–90 days, depending on baseline assets and implementation speed. We track assistant mentions, schema coverage, entity recognition, qualified leads, and conversion lift.

Which schema types are typically used?

Common types include Organization, LocalBusiness, ProfessionalService, Physician, Service, SoftwareApplication, Product, FAQPage, HowTo, Article, Review, BreadcrumbList—selected to match your offers and locations.

Does ARCHITECT work with our current stack?

Yes—WordPress/Webflow, Shopify, HubSpot, Go High Level, GA4, Looker/Power BI, and LLM assistants. We provide SOPs so your team can run the program after handoff.

How do we get started?

Begin with an AI Visibility Audit to identify gaps. Then execute a 30/60/90 plan: publish entities, FAQs, and schema; codify proof; instrument KPIs; and standardize review/publishing workflows.

The Client Acquisition Crisis No One's Talking About

The "Marcus" story

The Marcus Story — AEO Case Narrative

Case Narrative · AEO Visibility

The Marcus Story: From Invisible to AI‑Recommended

A respected firm disappeared from AI answers—then used an AEO Blueprint to win clients back.

Marcus’ firm relied on referrals and reputation—but AI assistants didn’t recognize their expertise.
When prospects asked tools like ChatGPT for “best healthcare consulting firms,” competitors appeared instead.
Within six months: inbound leads fell 20% and two long‑term clients left.
The issue wasn’t skill—it was **invisible signals**: weak entity graph, thin schema, scattered FAQs, and unstructured proof.

Marcus, a managing partner at a respected consulting firm, had grown for years on word‑of‑mouth. But as buyers shifted to AI assistants for vendor research, his firm stopped appearing in answer boxes and recommendations. Competitors with stronger digital authority and structured signals were surfaced instead.

In under six months, inbound leads dropped by roughly 20%, and two long‑standing clients assumed the firm was falling behind on innovation. Nothing about Marcus’ expertise changed; the problem was that AI systems couldn’t “see” the business well enough to recommend it.

-20%Inbound leads

2Clients lost

0Change in expertise

Marcus implemented an AEO Blueprint: audit, entity mapping, schema/FAQ library, and case‑study proof.
His firm began showing in AI recommendations for healthcare consulting queries.
In 90 days: visibility recovered, 2 new high‑value clients closed, and the brand positioned as AI‑ready.

Week 1–2 · Audit
AI Visibility Audit exposed missing entities, inconsistent NAP, and absent service‑level schema.

Week 3–5 · Structure
Built entity graph, applied Organization/LocalBusiness + service schemas, and published comparison & FAQ clusters.

Week 6–8 · Proof
Codified case studies, reviews, and outcomes as machine‑readable evidence. Tracked conversions with clear KPIs.

By Day 90 · Results
Appeared in assistant recommendations, reopened pipeline, and signed two new high‑value clients.

90dRecovery window

2New clients

AEOAuthority regained