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AI Discoverability

Optimize your AEO and become the answer AI gives to your users.

Audit My AI Visbility
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Cited answer
Vardot
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Varbase AI Drupal AI Claude
Where Traffic Goes

The Click Stopped Happening

The buyer used to type a query, scan results, click a link, and land on your page. That sequence broke.

  • ChatGPT and Perplexity answer the question.
  • Google AI Overviews answer the question.
  • Claude and Gemini have moved into vendor research as defaults.
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MODEL-SPECIFIC INTELLIGENCE

Stay Ahead Across LLMs

Your team gets monthly intelligence on how each major LLM weights citations differently.

  • LLM performance audit
  • Competitor citation analysis
  • Content gap analysis
  • Priority-question mapping

Weights Wikipedia, LinkedIn, and high-authority publishers.

Perplexity logo with teal geometric icon and dark blue text.

Most Reddit-friendly engine. Cites YouTube transcripts heavily.

Most Reddit-friendly engine. Cites YouTube transcripts heavily.

Behaves closest to Google. Schema density and Knowledge Graph entities matter most.

AUDIT FRAMEWORK

What We Measure

Answer-First Structure

The page answers its own question in the first 60 words

Headers & Structure

Headers phrased as the questions your buyers actually ask

Section Independence

Every section holds up when pulled out of context

Query Fan-Out

The follow-up questions get answered on the same page

Definitions & Formatting

Terms, lists, and comparisons in extractable form

Credibility Signals

Named authors, sourced claims, original analysis

Freshness & Maintenance

Publish dates, update dates, a review cadence

Audience & Product Fit

Written for one buyer, tied to one offering

Technical foundation

What Gets Fixed

Most sites are invisible to answer engines for mechanical reasons before editorial ones. These are checked and fixed first:

  • Crawler access
  • Server-rendered content
  • Schema coverage
  • llms.txt
  • Entity consistency
  • Passage structure
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What You Get

Deliverables

GEO Citation Audit

Where your brand stands in AI answers

Schema Package

Production JSON-LD, deployed in 15 days

Content Remediation

Priority pages rewritten for citation surfacing

llms.txt

The content map AI crawlers read first

Citation Monitoring Stack

Profound + Peec AI + xfunnel, tuned to your queries

Monthly Reporting

Citation share by engine, query, and competitor

AI Visibility Strategy

Priority questions and journeys mapped per market

Editorial AI Coaching

Editorial team trained for AI citation. Practical checklist

Multimarket AI Alignment

Local-language phrasing tuned per region and market

OPEN SOURCE CONTRIBUTION

Drupal AI

The Drupal AI modules below are ours. They run in production at UN agencies, universities, and global enterprises.

Varbase AI

OpenAI integration native to the Drupal editorial workflow.

Admin Audit Log

Editorial and configuration events, logged for compliance audit trails. Maintained by Vardot.

Configuration Log

Every configuration change, logged for traceable governance.

Drupal AI

6,000+

Drupal contribution credits

Top 20

Global Drupal contributor

#5

Globally for Drupal sponsorship

"They're exceptionally responsive, solutions‑driven, and technically reliable."

Rada Barzu - Global Focus Management UNHCR
Before your book the call

Common Questions

The practice of being found, cited, and recommended inside large language models. When someone asks ChatGPT, Perplexity, Claude, or Google AI Overviews a question your organization should answer, AI Discoverability decides whether your name comes up.

SEO ranks pages. AI Discoverability shapes answers. Search engines send people to your site. LLMs answer directly, often without a click. SEO competes for position. AI Discoverability competes for citation. The disciplines overlap. The outcomes don't.

Three metrics, benchmarked monthly across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Citation rate: how often your domain appears in AI answers for target queries. Share of voice: your presence relative to competitors in those answers. Answer accuracy: whether what the model says about you is correct.

Three layers. Technical: structured data, llms.txt, crawler access, content architecture LLMs can parse. Content: rewriting key pages around the questions your buyers actually ask AI systems, with claims that hold up under scrutiny. Presence: earning citations on the third-party sources LLMs trust most.

First citations typically land within weeks. Meaningful share-of-voice changes take months. The work compounds. Every rewritten page, every earned citation, every confirmed entity makes the next answer easier to win.

Get Cited in AI Answers

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