PILLAR 01 · FIND
GEO
Can an AI system find and cite you? When ChatGPT, Gemini, Perplexity, or Claude answers a question in your market, does your business appear in the answer — with the details right?
ACTOR: THE MODEL, AT ANSWER TIME
AGENTIC AWARENESS
AI systems now decide who gets found. People still decide who gets chosen. And this summer, agents began deciding who gets booked.1 We score all three — separately — and build until each one holds.
FIND→CONVERT→TRANSACT
I THE THREE PILLARS
Each has a different actor, a different failure mode, and a different fix. That's why we score them independently — a strong average hides a fatal weakness.
PILLAR 01 · FIND
Can an AI system find and cite you? When ChatGPT, Gemini, Perplexity, or Claude answers a question in your market, does your business appear in the answer — with the details right?
ACTOR: THE MODEL, AT ANSWER TIME
PILLAR 02 · CONVERT
Can a human convert once they land? Clear next step, credible proof, a mobile path that doesn't fight them. Being found means nothing if the visit dies on the page.
ACTOR: A PERSON
PILLAR 03 · TRANSACT
Can an agent act — book, quote, buy — on a person's behalf? Structured data an agent can parse, forms and booking paths it can complete, a phone line it can navigate. In real time.
ACTOR: AN AUTONOMOUS AGENT, REAL TIME
GEO gets you named in the AI's answer. Agent Readiness is what happens ninety seconds later — when the user says "ok, book it." A business can win the citation and still lose the job.
II THE ENGAGEMENT
Every engagement starts with the Marketing + GEO Scorecard — GEO, CRO, and Agent Readiness scored independently across eight categories per pillar. The scorecard sets the sequence; the phases do the work.
1
Technical groundwork: crawlability, structured data, entity hygiene, and the AR-1 agent-access unblock — removing whatever structurally stops an agent from reaching you.
AR-1 UNBLOCK SHIPS IN WEEK ONE
2
The pages, answers, and structured facts that models cite: service and location coverage, question-shaped content, and data marked up so a machine gets it right.
3
CRO and agent UX in one development pass: forms, booking paths, and proof that work for a person on a phone and an agent in a session — built once, not twice.
4
Citations earned, share of voice tracked, quarterly re-scores on all three pillars, and live call testing so the phone path holds up when an agent dials it.
FLAGSHIP AUDIT
Three scores, never blended. Where the models cite you and where they don't, where visitors stall, and exactly what an agent hits when it tries to transact — with the ranked fix list.
FULL ENGAGEMENT
The four phases above, sequenced from your scorecard and scoped to your market. Foundation through monitoring, with quarterly re-scores as the progress report.
FOR REGULATED ADVERTISERS
Legal-advertising compliance review for firms whose marketing is itself regulated — claims, disclaimers, and referral-rule exposure. State rulebooks codified per engagement, wherever you operate.
PRODUCTIZED RESEARCH
Five fixed-scope paid reports for buyers who need the intelligence without the engagement. Detailed below.
Every engagement is scoped up front and billed phase by phase. Stop at any phase — each one ends in a verifiable deliverable. No per-lead pricing, no per-booking pricing, no percentage of outcomes — in any state.
III REPORT FACTORY
Productized research with a defined deliverable and a defined price. Commission one by email; scope and turnaround confirmed before any work starts.
R·01
Where a marketing agency's own clients are invisible to AI systems — the gap between what's billed and what the models actually see.
FOR AGENCIES
R·02
AI-visibility and demand signals for a target company and its competitors, packaged for an acquisition or investment decision.
FOR BUYERS & INVESTORS
R·03
How AI answers are reshaping a SaaS category's discovery: which products get cited, for which jobs, and where the openings are.
FOR SAAS OPERATORS
R·04
The three-score audit — GEO, CRO, AR — applied to a single local business, graded against the businesses its market actually cites.
FOR LOCAL OPERATORS
R·05
AI share of voice by territory across a franchise system — which locations the models recommend, and which are dark on the map.
FOR FRANCHISORS
IV WHO WE SERVE
At Google I/O, Google announced agentic booking and AI that phones businesses on users' behalf — starting with home repair, beauty, and pet care, rolling out across the U.S. this summer.1 If you're in a calling-wave vertical, an agent may already be your next inbound call.
CALLING WAVE · HOME REPAIR
Emergency intent, agent-dialed calls, and booking paths an agent can finish.
CALLING WAVE · HOME REPAIR
Quote requests with structured scopes — parseable by the person and the agent.
CALLING WAVE · BEAUTY
Service menus, practitioner availability, and bookings agents can hold.
CALLING WAVE · PET CARE
Appointment types, urgency triage, and after-hours paths agents can read.
Procedure-level visibility and new-patient paths that survive the handoff.
Class schedules and intro offers structured for citation and sign-up.
Service and diagnostic coverage the models can match to the symptom.
Practice-area visibility plus the ad-compliance audit built to your state’s rules.
Highlighted tiles mark the verticals in the first agentic-calling wave. Everyone else is next in the queue — the scoring and the fixes are the same; only the urgency differs.
V B2B MANUFACTURING
Procurement is becoming agent-mediated. When a sourcing agent evaluates suppliers, it isn't persuaded by your homepage — it's parsing whether it can establish capability, tolerance, certification, lead time, and a path to a quote. Manufacturing gets its own scorecard categories because the transaction is different.
VI THE WATER IS MOVING
We don't trade in vibes. Four verifiable markers of where discovery and transaction are heading — vendor and date on every one.
MAY 19, 2026 · GOOGLE I/O
Google announced agentic booking and AI that calls businesses on users' behalf in home repair, beauty, and pet care — U.S. rollout summer 2026. The phone is ringing; the caller is software.1
SOURCE: GOOGLE I/O KEYNOTE
APRIL 1, 2026 · WEB.DEV
Google's own developer guidance now includes "Build agent-friendly websites" — first-party instructions for making sites that agents can read and act on.2
SOURCE: WEB.DEV, LAST UPDATED 2026-04-01
JUNE 22, 2026 · CHROME 150+
Lighthouse shipped an Agentic Browsing category — currently informational and unbenchmarked, but agent-readiness is now literally in the audit tooling.3
SOURCE: CHROME LIGHTHOUSE ANNOUNCEMENT
SEPTEMBER 15, 2026 · CLOUDFLARE
Cloudflare's AI traffic controls (July 1, 2026) begin evaluating multi-purpose crawlers on all behaviors. A legacy "block AI bots" setting will also block Googlebot, Applebot, and Bingbot — a misconfiguration that can take you off every map at once.4
SOURCE: CLOUDFLARE, JUL 1 2026 / EFFECTIVE SEP 15 2026
VII THE CHARTS
The rest of the voyage, drawn to scale: how the measurement system works, why this summer changed the stakes, and what a machine sees when it reads this site.
VIII GET YOUR POSITION
Start with the scorecard: three scores, eight categories per pillar, and a ranked fix list. Scoped up front, billed by phase, no surprises.
OPEN WATER · SERVING ALL 50 STATES
IX THE DECK BOOK
Log your position below. We score GEO, CRO, and Agent Readiness — eight categories per pillar — and reply from info@cortexnavigation.com within one business day. Scoped up front, billed by phase, no surprises.
Your position is logged in the deck book. We'll reply from info@cortexnavigation.com within one business day — with your three scores in hand.