AI Agent Visibility for Business

How do AI agents see
your brand?

An AI-visibility (AEO/GEO) practice for mid-market DTC and e-commerce brands. We measure how AI agents describe you, find why competitors are named instead, and ship the work to change it.

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When a buyer asks about your category, only a few brands get named. Are you one of them?

ChatGPTSearched 14 sources · 1.8s

Illustrative. Not a live AI response.

Your brand isn't in this answer. The audit identifies the on-site signals (schema, citations, source density) keeping you out. The Build ships those changes on your site, so the next answer names you.

SEO still works for what it was built to do.It does not decide which brands get named in the answer.

This work sits between marketing, technical SEO, and engineering. Pyranthus is built for that middle ground.

SEO agencies optimize for rankings. AEO tools generate content. Pyranthus measures where your company appears, why competitors get cited, and ships the engineering work to change it.

Three components, one continuous practice.

The Audit

A 19-rule audit that scores your site across five categories: page structure, headlines and summaries, trust signals, proof and citations, and technical schema. You receive a written report, a prioritized shortlist, a one-week action plan, and a row-level CSV your team can act on directly.

The Build

Implementation of every finding the audit returns. Heading hierarchy and semantic HTML, title and meta clarity, authorship and expertise signals, source density and claim support, structured data and machine-readable surfaces. Your team assigns rows; Pyranthus ships them in the sprint after the audit.

The Tracker

After launch, we re-score the same five categories and measure whether your brand starts appearing in the answers that matter. Progress shows up in the original audit frame, so wins stay visible across reporting cycles.

What an audit deliverable contains.

A Pyranthus audit is a written document with prioritized findings, implementation-ready tickets, and evidence behind each rule.

Cited in 0 of 24 prompts.

Baseline measurement across twenty-four buying-stage prompts a prospective customer would realistically ask in the category. The brand was named zero times. The three most-named competitors appeared in 19, 16, and 14 prompts respectively.

Root cause

Three of five categories failing. Weakest scores on Proof & Citations and Trust Signals.

Pages flagged

312 / 418

A-priority rows

How a finding becomes a ticket.

Priority

AProof & Citations

Page

/case-studies/[client-page]/

Action

Add 2-4 measurable results: timeline, scale, throughput, or sales outcomes.

Owner

Client editorial - about 30 minutes

Rule ID

no-statistics-or-data

An AI-visibility practice, founded in 2025.

I started Pyranthus after three years on startup search and automation projects, where I kept running into the same gap.

Companies optimized for Google had no clear view of how AI describes them, and no one on the team set up to fix it. AEO/GEO is where you start. Agentic Commerce is where this goes.

Pyranthus works direct with brand teams and as a white-label partner for marketing agencies serving DTC clients.

Pyranthus is currently auditing a 70-page mid-market retail brand.

Pyranthus has active partners with decades of FAANG software engineering and SEO marketing experience.

Adit Karode