AHS AI Citations Strategy
Overview
As of February 2026, Madison Asbestos has 17 AI citations on Google AI and 0 on ChatGPT. The strategy to grow these numbers centers on adding structured FAQ content to new and existing pages so that AI models have direct, citable answers to pull from when users ask relevant questions.
This is part of the broader [1] content roadmap and is tightly coupled to the three-phase dev work outlined in the [2].
Why AI Citations Matter
Search behavior is shifting toward AI-assisted answers (ChatGPT, Google AI Overviews, etc.). When a user asks an AI a question, the AI cites sources — those citations drive referral traffic and reinforce brand authority. Getting cited is increasingly as valuable as ranking on page one of traditional search.
"Search is trending more towards AI. People are starting to use AI a little bit more, definitely compared to traditional search engines like Google." — Karly Oykhman, 2026-02-24 meeting
Current Baseline
| Platform | Citations |
|---|---|
| Google AI | 17 |
| ChatGPT | 0 |
The 17 Google AI citations are a solid starting point, but ChatGPT at zero represents a clear gap. The expectation is that structured FAQ content will move both numbers upward.
Core Mechanism: Structured FAQs
AI models favor pages that contain a direct question paired with a direct answer. Karly's framing from the meeting is useful here:
"AI is kind of lazy, so if there's specifically a question somebody's asking, and we've structured it to where that's a question on our FAQs, where there's a direct answer, that's what it's going to use as its main source."
The practical implication: FAQ sections should mirror the exact phrasing a user would type into an AI prompt. Vague or marketing-oriented copy won't get cited — specific, question-and-answer formatted content will.
Implementation Plan
FAQs are being added across three page types, each targeting a different citation category:
Phase 1 — Location Pages (Dane County)
- ~10 pages targeting local towns in Dane County
- FAQs will target local search queries (e.g., "asbestos removal in Sun Prairie")
- Expected citation category: local/geo-specific AI queries
Phase 2 — Service Pages
- All existing service pages (mold remediation, asbestos removal, etc.)
- FAQs added to bolster thin content and capture service-specific queries
- Expected citation category: service/topic queries (e.g., "how does mold remediation work")
Phase 3 — Contractor Pages
- New pages targeting contractor referral audiences
- FAQs answer trade-professional questions (e.g., "What do I do if I find mold in a pipe?")
- Expected citation category: professional/trade queries on ChatGPT and similar tools
See [3] for full scope and sequencing.
Monitoring
AI citation counts are tracked via Ahrefs. The metric will fluctuate at low volumes, so trend direction matters more than individual data points in the short term. The team will monitor after each phase goes live to assess impact.
Related
- [2]
- [3]
- [4]
- [5] (generalizable pattern)