Published service and local pages with an Arrow AI credit; implementation evidence, not a verified AI recommendation.
The growth system for AI search — built, run, and measured by Arrow.
GEO-AI improves the public sources behind AI discovery: clear company facts, useful answers, accessible pages, and verifiable evidence. Website readiness and observed AI answers are measured separately; neither guarantees a recommendation.
Companies covered in the yacht index: 95 scored, 5 not scannable. Average website-readiness score: 57/100.
Published interface examples show conversational support, client access, documents, and progress displays. No outcome KPI is asserted.
A website-readiness assessment. Provider API observations are available only when configured and are not six consumer-engine rankings.
Four disciplines. One connected system.
The agreed scope connects technical access, useful source pages, evidence maintenance, and measurement.
GEO audit
Inspect public website signals and prioritize documented gaps. Establish a separate answer baseline only through recorded tests on the agreed surfaces.
Entity & schema
Describe the company consistently and use applicable structured data that matches visible content. Schema and llms.txt do not guarantee a citation or replace evidence.
Answer-ready pages
Answer real buyer questions with current facts, fair comparisons, source links, and explicit limits. Each page needs a useful decision and maintainable evidence.
Citation tracking
Record prompt, surface, market, date, answer, and supporting citations. Separate mentions, recommendations, and citations; API responses are not consumer search results.
Real engagements, documented in public.
Inspect the published project material and its limits. Website implementation, product features, and commercial outcomes require different evidence.
The published France DPE website carries an Arrow AI footer credit and exposes services, pricing, local pages, and an inquiry route. This shows implementation material; it does not establish a before-and-after AI ranking or attributed customers.
Read the case study ->Tina’s project material shows an assistant interface, a client space, program documents, and progress displays. The interface captures illustrate features; they do not establish adherence, faster responses, or clinical outcomes.
Read the case study ->Narrow focus. Measured output.
Start with a market where buyer questions and source evidence can be checked. Expand when the work supports a distinct need.
Select the business need, market, source pages, and owners before agreeing the work.
The proposal identifies which APIs or consumer interfaces will actually be tested and how unavailable measurements are reported.
Indicative implementation weeks after approval; the proposal confirms timing, dependencies, and measurement scope.
Before you approve a scoped plan. The audit and the proposal that follows are free.
From audit to operating system.
The Arrow framework connects discovery, a scoped proposal, implementation, launch checks, and ongoing review.
Discover
Free audit of your AI visibility — goals, market, and gaps mapped.
Design
System architecture and a fixed, scoped proposal. No commitment before approval.
Build
Entity work, schema, and answer-ready pages — built around your stack.
Launch
Launch the approved changes and verify the measurement included in the scope.
Optimize
Monthly iteration on citations, competitors, and what to build next.
GEO-AI, answered.
What is GEO-AI?
GEO-AI is Arrow’s service for improving public website sources, company clarity, useful answers, and evidence. It combines scoped implementation with a defined measurement plan. It does not guarantee citations or recommendations.
How is GEO-AI different from SEO?
GEO uses technical and content foundations that also matter to SEO, while separately reviewing how AI answers describe and cite a business. Website scores, search performance, provider API responses, and consumer AI answers are different measurements.
What evidence can I inspect?
France DPE has a published website with an Arrow AI credit. The yacht index covers 100 companies: 95 scored, 5 not scannable, and a 57/100 average website-readiness score. Tina has published interface material. These are not evidence of permanent AI ranks or attributed revenue.
How much does GEO-AI cost and how fast does it launch?
The service is $1,500 setup plus $899 per month. The indicative implementation window is 3–5 weeks; the proposal confirms scope, timing, dependencies, and measurement. The audit and proposal are free, with no payment before plan approval.
Build the sources buyers can verify.
Start with the free audit to identify public-source gaps and the measurement needed for your next decision.
Free audit → scoped proposal → build. Nothing to pay before the plan.
Measurement method · Authority library · Yacht index and its limits