---
title: AHS Service Page SEO Optimization
type: article
created: '2026-04-05'
updated: '2026-04-05'
source_docs:
- raw/2026-03-10-ahs-marketing-meeting-128739994.md
tags:
- seo
- content
- ahs
- ai-search
- ahrefs
- service-pages
layer: 2
client_source: null
industry_context: null
transferable: true
---

# AHS Service Page SEO Optimization

## Overview

As part of an ongoing SEO initiative for [[clients/madison-asbestos/index|Madison Asbestos & Hazardous Services (AHS)]], all service pages were updated with expanded copy, focus keywords, and FAQ sections. The dual goal is to improve traditional search rankings and to capture traffic from AI-driven search tools (ChatGPT, Bing AI, etc.). Rank changes will be tracked in Ahrefs.

This work was reviewed in the [[clients/madison-asbestos/meetings/2026-03-10-app-demo-marketing-updates|March 2026 Marketing Meeting]].

---

## What Was Done

- **Copy expansion:** All service pages (asbestos, mold, vermiculite, lead) were rewritten with higher word counts and SEO focus keywords. Copy was developed collaboratively between Sebastian and Brady (AHS).
- **FAQ sections added:** Each service page now includes an FAQ block. Questions are phrased to match natural-language and AI-style queries (e.g., *"Is lead paint dangerous if it's not peeling?"*).
- **Re-indexing:** Pages were submitted for re-indexing so Google re-crawls and registers the expanded content.
- **Ahrefs tracking:** Focus keywords for each service page were added to Ahrefs to monitor ranking changes over time. The Ahrefs dashboard also surfaces AI citation data, which will be monitored alongside traditional rank positions.

---

## AI Search Strategy

AHS already receives more AI citations than most comparable clients, likely due to the technical depth and FAQ density of their existing content. The FAQ-first approach is the primary lever for AI visibility:

- AI tools (ChatGPT, Perplexity, Bing) prefer to surface answers from pages that already contain a well-formed question-and-answer pair.
- Phrasing FAQs as literal user queries (rather than generic headings) increases the likelihood of citation.
- Blog posts also include FAQs and have historically been cited by AI tools — publishing approved blog content will compound this effect.

> *"The AI is lazy, right? It doesn't want to have to come up with an answer. It basically looks for somebody who's already answered the question."* — Mark Hope

---

## Content Review Workflow

Blog content and service page copy must be reviewed by AHS subject-matter experts before publishing. The established workflow:

| Reviewer | Scope |
|----------|-------|
| **Brady** | Asbestos and mold content (certified in both); detailed reviewer |
| **Bob** | Lead content (lead-certified); also receives all content for a secondary stamp |

Send all blog drafts to **both Brady and Bob** simultaneously. Do not route through a single point of contact or a shared email thread — send directly to each individual.

---

## Next Steps / Open Items

- [ ] Send Gina links to all updated service pages for her review
- [ ] Confirm re-indexing is complete for all updated pages
- [ ] Monitor Ahrefs for ranking movement and AI citation increases on updated keywords
- [ ] Resend pending blog drafts directly to Brady and Bob for approval (@Sebastian Gant)
- [ ] Publish approved blogs to further build AI citation surface area

---

## Related

- [[clients/madison-asbestos/index|Madison Asbestos & Hazardous Services — Client Index]]
- [[clients/madison-asbestos/meetings/2026-03-10-app-demo-marketing-updates|Meeting: App Demo & Marketing Updates (Mar 2026)]]
- [[knowledge/seo/ai-search-visibility|AI Search Visibility Strategy]]
- [[knowledge/seo/ahrefs-rank-tracking|Ahrefs Rank Tracking Workflow]]