There’s an irony buried in here too. The very complaint that generic SEO advice is a problem is itself evidence of how the cycle works: Generic content is what gets the most traffic and gets shared the most, which means it’s exactly the kind of material that ends up training the next model, which then produces more generic advice. It feeds itself.

On top of this is the timing problem. Most people don’t ask the AI platform they’re using, “When was your last training update?” AI knowledge comes with a cutoff date, and depending on the platform, that cutoff can be many months old, which matters because Google Business Profile features, local map-pack mechanics, and which schema markup actually gets recognized all change fairly often. Advice that was accurate for a local service business a while back can quietly go stale, and AI doesn’t always know the difference.

You can see this same pattern in AI-written content itself. The flat, formulaic writing everybody’s learned to spot at a glance isn’t a separate problem: It’s the same generic-advice problem, whether it’s showing up in a blog post about chimneys or in your own marketing plan.

If AI is essentially giving advice and answers based on generic and average information that may or may not be about your type of business, what do you do with that?

Four Lenses: Know What Kind of Optimization You Need

Start by knowing exactly what kind of business you are because the fix for a company like yours looks nothing like the fix for the business next door, even if you’re both getting your information from the same source.

Broadly, most hearth and home-service companies fall into one of four camps:

1. A Local Company With a Single Location: If customers come from a defined metro area or a handful of surrounding towns, your priority list starts with your Google Business Profile. Make sure your hours, categories, and service descriptions are accurate and complete. Plus, keep your name, address, and phone number consistent everywhere you’re listed online. It also means understanding that the map pack (the three-listing group that shows up with a mini map on a local search) is a completely different ranking system from the regular search results (organic) below it, and that a steady flow of new reviews matters more here than almost anything else.
2. Retail Without an E-Commerce Operation: You still need everything above, but you’re also fighting for foot traffic and product visibility rather than service calls. That means paying attention to how your inventory shows up in Google’s free product listings, and building content that gets people off the couch and into your showroom, not just onto your website.
3. Retail With E-Commerce: Now you’ve got a genuinely different set of problems: making sure each product page is marked up so Google understands what it’s selling, keeping your category pages organized so customers and search engines can actually navigate your catalog, and avoiding the trap where filtering by size, color, or finish accidentally creates hundreds of near-duplicate pages that confuse everyone. You also need to realize you are competing with sites like Amazon and Woodland Direct, which means every single page needs to be optimized to the max, along with a very smooth e-commerce experience.
4. A Service Company Covering a Large Territory: This is the trickiest lens, and probably the one a lot of you reading this actually live in. If you serve a dozen towns or several counties, you need a page for each service area that’s genuinely useful, not just the same content with the town name swapped out, which search engines increasingly recognize and discount. You’re also managing a different kind of Google Business Profile, one built for a service-area business rather than a storefront. This has its own rules for what shows up and where, and it can be quite deceiving at times because it doesn’t show up with a pin on the map itself.

None of this is meant to be the whole playbook. Each of these could be—and probably should be—its own article at some point, but for this one, we are talking about using AI for marketing purposes, and there are some things where AI simply can’t compete.

Where AI Genuinely Can’t Compete: First-Hand Expertise and Stories

There’s one more thing that AI can’t fake, no matter how good the training data gets: actual, lived experience.

Google has been increasingly explicit that it rewards content that shows real first-hand expertise, not just correct information, but information that comes from someone who’s actually done the work or had the work done. And now that people are also getting answers directly from AI search instead of clicking through to a website, that same quality—being specific, credible, and clearly written by people who know what they’re talking about, or who have lived the experience as customers—is what gets you cited and mentioned in those AI-generated answers, instead of getting quietly left out.

That’s genuinely good news for this industry, even though it doesn’t always feel that way. Techs who’ve seen every kind of creosote buildup and cracked flue liner under the sun and talked to hundreds of scared or confused homeowners have more real expertise sitting in their heads than almost any AI-generated article could ever fake. The problem is that expertise usually stays in that person’s head, or gets shared once, verbally, with one customer, instead of making it onto the page where it can help your SEO and reputation at the same time, the same way a five-star review sits on Google or Yelp but never makes it onto your own site.