AI Can't Cite
What It Can't Read

We fix your site, then publish and refresh the content that gets you cited, powered by our own engine, Iris.

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Findings, Not Guesswork
The Problem

Ranked Isn't
The Same As Cited

People are increasingly asking AI models questions instead of searching Google. When they do, the model either quotes your business or it doesn't; there's no page two. That goes double for buyer-intent searches, where the answer shapes who gets the call. Being citable requires things most sites simply don't have.

01

Direct-Answer Content

Paragraphs structured so a model can extract a clean answer, not buried inside marketing prose.

02

Question-Phrased Headings

Real FAQ data that mirrors how people actually ask, not decorative subheads.

03

Explicit Crawler Access

AI bots need their own permissions, separate from normal search crawlers, or they never see the page at all.

04

Freshness Signals

AI engines weight recently published and recently updated content more heavily than static SEO ever did.

Iris logo
Meet Iris

Seen By The
Algorithms That Matter

Iris is our in-house content engine. It writes, checks, publishes and refreshes the pages AI assistants quote.

Iris writing, checking, publishing and refreshing content until an AI answer cites it

Written To Be Quoted

Every page opens with a direct answer and uses the questions your customers actually ask.

Checked Before It Ships

Drafts that miss our quality bar are rejected automatically, so nothing weak goes live.

Published Naturally

Releases are paced over weeks instead of dumped all at once.

Kept Current

Pages are refreshed regularly, with version history and rollback.

Built on real research. Iris encodes what we learned running GEO on live client sites.

Proof

What Happened
When We Did This

We ran this process on a live client site, a small insurance brokerage. This is Google Search Console's own report for how often a site shows up inside AI-generated answers, straight from their account, before and after.

12→1,016 Daily AI-Answer Impressions
Before
Google Search Console Generative AI features report showing 12 daily impressions before GEO implementation
12 impressions that day. Flat for weeks before it.
After
Google Search Console Generative AI features report showing 1,016 daily impressions after GEO implementation
1,016 impressions that day. Sustained well above baseline since.

We're not going to tell you that's guaranteed or typical. AI visibility is genuinely volatile day to day, and this is one case study, not a statistical promise. What we can tell you is that the jump lines up exactly with when the work went live, and it's held. That's the pattern we're building toward on every site we take on.

A Second Case: NeoGlint

A Brand New Product, Found By AI In Weeks

NeoGlint is a completely new product. We introduced it to the web with no marketing and no backlinks, with Iris publishing its content and nothing else. Within a few weeks it was appearing in AI Overviews.

Visit neoglint.app
The NeoGlint writing app showing a document in its dark editor
What's Included

The Audit Tells Us
What's Broken

This is what we fix, build, and keep running after that, in order.

01

GEO Audit

A full check of whether your site can even be seen and understood by AI crawlers today.

02

Technical Fixes

AI-bot crawler permissions, page speed issues that affect crawl budget, schema and structured data, meta description discipline.

03

Content Architecture Rebuild

Direct-answer formatting, question-phrased headings, real FAQ data instead of decoration. If you don't have content yet, we write it.

04

Ongoing Citation Tracking

Scheduled checks across ChatGPT, Perplexity, Gemini, and Grok, with trend history.

05

Topic Targeting

We focus on the low-competition, high-intent searches that lead to real enquiries.

06

Buyer-Intent Landing Pages

Short, focused pages for people who are ready to choose a provider.

07

Scheduled Content Refresh

Iris refreshes your content on a cadence, with version history, rollback and pre-publish preview.

Who This Is For

Built For Businesses
That Publish, Or Don't

Service businesses that care about being found by AI: professional services, insurance, healthcare-adjacent, local and regional B2B. Whether you've been publishing content for years or have none at all, it doesn't matter: if you already publish, we restructure and maintain it; if you don't, we write and publish it for you as part of the engagement.

Also built to be resold or white-labeled by agencies already handling marketing for these businesses. Multi-site and agency friendly: one Iris system can run content for many client sites, each kept separate.

Find Out Now

What Is Your Site
Hiding From AI?

The same audit that took one site from near-zero AI visibility to a sustained jump in weeks, run on yours. Includes a look at how Iris would publish for you.

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Common Inquiries

FAQs

SEO gets you a ranked link on a results page. GEO is about being the source an AI model actually quotes or links to inside a generated answer, a different retrieval and citation system, with different technical requirements: crawler access, content structure, and freshness signals SEO never had to account for.
No, and we won't pretend otherwise. Citation behavior across AI engines is genuinely volatile day to day, even with zero changes to a site. What we do is put the technical foundation and content structure in place that these engines reward, then track the results on a schedule so you can see what's actually happening.
Yes. If you have no content, we write and publish it for you as part of the engagement, built for AI citation from the start. If you already publish, we audit and restructure what exists instead.
It varies by site and how broken the starting point is. In our reference case, AI-answer impressions moved within weeks of the technical and content fixes going live. That's one case, not a promise, but it's the pattern we build toward.
Iris is our in-house content engine. It writes pages built to be quoted by AI assistants, checks each draft against a quality bar, publishes on a natural schedule, and refreshes published pages on a cadence with version history. It also runs content for many sites at once, each kept separate.
No. Iris paces releases over weeks instead of publishing everything in one burst, so your site grows steadily and naturally.
Iris runs scheduled content refreshes with version history and rollback, plus continuous citation tracking across ChatGPT, Perplexity, Gemini, and Grok, so the site keeps meeting the freshness and structure signals these engines weight, not just once at launch.