When ChatGPT, Gemini, Perplexity, or Google's AI Overviews give a homeowner wrong information about your foundation repair company, the fix is not to argue with the chatbot. The fix is to correct the underlying sources those systems pull from — your website, directory listings, and review platforms — and then publish clear, current facts that give the model a better answer to draw on next time. This takes days to weeks to resolve, not a single request.
Why AI sometimes states outdated or incorrect contractor details
Answer engines do not verify facts the way a person would; they summarize whatever text they can find across your website, directory profiles, and past reviews, then blend it into a single response. If your business changed its service area, dropped a warranty term, or updated pricing structure but an old blog post, outdated directory listing, or stale review still mentions the previous version, the AI may repeat the outdated version because it appears more frequently or more clearly stated across the web than your current information.
This is a sourcing problem, not a malicious one. Large language models (LLMs, the AI systems behind tools like ChatGPT) generate answers by predicting likely text based on patterns in training data and, for tools with live search, real-time web content. If three directories say you serve one metro area and your homepage says another, the model has no reliable way to know which is current. It picks whichever signal seems strongest or most repeated.
How wrong hours, service areas, or claims cost you calls
A homeowner searching for emergency foundation repair at night who is told your company is closed, or that you only serve a neighboring county, will simply call the next contractor listed. Wrong information does not just annoy a prospective customer; it removes you from consideration before you ever get the chance to speak with them. Every incorrect detail an AI repeats is a lost call you never see happen.
The cost compounds because these tools are often used at the exact moment someone has a cracked slab, a bowing wall, or a sinking porch and wants an answer immediately. If the AI states your company does not offer free inspections when you do, or lists a warranty length that no longer matches your current policy, the homeowner may choose a competitor whose listed terms sound better, even if your actual terms are just as strong or stronger. Wrong details do not just mislead; they actively steer business away from you.
Correcting the sources AI draws from
Answer engines rely on a patchwork of your Google Business Profile, website, industry directories, and review sites, so correcting one source rarely fixes the whole picture. Start with your Google Business Profile and website, since these tend to carry the most weight, then work through directories like Angi, HomeAdvisor, Yelp, and any foundation-repair-specific listing sites where your hours, service area, or pricing language might be outdated.
Consistency matters more than perfection on any single platform. If your website says you serve five counties but your Google Business Profile still lists three, that mismatch is itself a signal that confuses AI tools trying to determine which version is current. Go through every platform where your business appears and align the basic facts: service area, hours, phone number, financing or warranty terms, and the specific foundation repair methods you offer, whether that is push piers, helical piers, slab piers, or drainage correction. Treat this as a recurring audit, not a one-time cleanup, since directories update on their own schedules and can drift out of sync again.
Publishing clear facts the model can prefer
Once your core listings agree with each other, give AI tools something clearer and more current to pull from than whatever outdated text is still circulating. A dedicated page that plainly states your service area, the foundation repair methods you use, how your pricing approach works (free estimates, financing options, warranty terms), and your actual hours gives answer engines a single, unambiguous source to summarize instead of piecing together fragments from older pages or third-party listings.
Write this information the way you would explain it to a homeowner standing in your office, not in vague marketing language. Specific, plainly stated facts are what these systems favor when generating a summary, because clear text is easier to extract and repeat accurately. A page buried in generic phrasing about "quality service" and "customer satisfaction" gives the model nothing concrete to quote, so it may default to whatever specific detail it found elsewhere, even if that detail is wrong or stale. The more precisely you state your own facts, the less room there is for an outdated secondhand version to fill the gap.
Monitoring so errors do not resurface
Correcting wrong information once does not guarantee it stays fixed, since AI tools re-crawl the web and re-generate answers over time, and directory data can revert or drift after updates elsewhere. Periodically ask the major AI tools directly what they say about your foundation repair company: your service area, hours, pricing approach, and the repair methods you offer. Treat any mismatch as a signal to revisit your listings and website copy.
Set a recurring reminder, quarterly at minimum, to check how ChatGPT, Gemini, Perplexity, and Google's AI Overviews describe your business when someone asks about foundation repair in your area. Compare what comes back against your actual current policies. If an old warranty term or a discontinued service still shows up, trace it back to whichever listing or page is still carrying that outdated language and correct it there. This kind of ongoing check matters more for a foundation repair business than for many other trades, since pricing structures, financing partners, and service areas tend to shift as a company grows, and each shift creates a new opportunity for stale information to linger somewhere online.
The strongest defense against AI stating wrong information about your foundation repair company is not a single correction but a habit: keeping every listing, page, and profile saying the same current thing, so that whichever source an answer engine happens to summarize, it tells the homeowner the truth about who you are and what you actually offer.