How To Control What AI Says About Your Business
AI assistants are now the first stop for buyer research. Here's how SMB owners can shape what those tools say when customers ask about their business.
When someone asks ChatGPT or Claude about your business, you have no rep in the room. What gets said depends almost entirely on what's already indexed, cited, and structured across the web. Businesses that proactively manage their digital footprint, structured data, reviews, and third-party mentions are showing up favorably in AI responses. Those that don't are either missing entirely or misrepresented. The playbook isn't complicated, but most SMBs haven't started it yet.
Why does AI say what it says about a business?
AI assistants don't browse the web in real time when someone asks about your business. They draw on training data, retrieval-augmented sources, and whatever they can access through plugins or live search. What ends up in a response is a reflection of what's been written about you, how consistently it appears across credible sources, and how clearly structured that information is. If your web presence is thin, inconsistent, or buried under noise, the AI either skips you or gets it wrong.
This matters more than most SMB owners realize. According to a 2024 study by BrightEdge, AI-driven search features were already influencing over 57% of search sessions. That number has only grown as ChatGPT, Perplexity, and Claude have become default research tools for buyers.
What signals do AI tools actually pull from?
The short answer: anything publicly indexable and frequently cited. In practice, that breaks down into a few concrete categories.
Structured data on your own site. Schema markup (Organization, LocalBusiness, FAQPage) tells crawlers and AI systems exactly what your business does, where you operate, and how to categorize you. Most SMB sites have none of it. Google's own documentation explains how structured data feeds directly into knowledge panels and AI-summarized results.
Third-party citations. Wikipedia entries, industry directories, press mentions, and review platforms all function as trust signals. If five credible sources say you're a commercial HVAC contractor in Denver, AI tools will reflect that. If the sources conflict or are absent, the response will be vague or wrong.
Review content, not just scores. AI systems increasingly parse review text, not just star ratings. A cluster of reviews that consistently use the same descriptors, "fast turnaround," "responsive," "specialized in X", trains the model on what you're known for. Generic reviews don't contribute much.
Your own published content. FAQ pages, detailed service descriptions, case studies, and blog posts that answer real questions give AI tools material to pull from. Thin pages with three sentences per service are not useful sources.
How is this different from traditional SEO?
Traditional SEO optimizes for ranking in a list. Generative Engine Optimization (GEO) optimizes to be selected as a source when an AI synthesizes an answer. The mechanics overlap but the emphasis shifts.
With traditional SEO, you compete for position one. With GEO, you compete to be cited or summarized. That means clarity and authority matter more than keyword density. A well-structured, specific answer to a real customer question on your site is more likely to surface in an AI response than a page stuffed with terms.
A 2024 study from Columbia and Georgia Tech researchers found that adding quotations, statistics, and fluency improvements to source content increased citation rates in AI-generated responses by up to 40%. That's a concrete signal: write like a credible source, not a brochure.
What can an SMB owner actually do this week?
This isn't a six-month SEO campaign. Some of these moves take an afternoon.
Audit what AI currently says about you. Open ChatGPT, Claude, and Perplexity. Ask each one: "What can you tell me about [your business name]?" and "Who are the best [your service category] providers in [your city]?" Screenshot the responses. This is your baseline. If you don't appear, or what appears is wrong, you know exactly what you're fixing.
Fix your structured data. Install a schema plugin if you're on WordPress (Yoast, RankMath, or Schema Pro all work). Add LocalBusiness or Organization markup with your accurate name, address, phone, hours, and service area. If you're not on WordPress, use Google's Structured Data Markup Helper to generate the JSON-LD and drop it into your site's head section.
Build consistent NAP across directories. Name, Address, Phone. Every directory listing, Google Business Profile, Yelp, Apple Maps, industry-specific directories, should match exactly. Inconsistency creates conflicting signals that AI systems resolve by hedging or skipping you.
Publish one substantive FAQ page per core service. Not a generic "About Us." A page that answers the actual questions buyers ask before hiring someone like you. "How much does X cost in [city]?" "How long does X take?" "What separates a good [service] provider from a bad one?" Real questions, real answers, in plain language.
Earn third-party mentions. This is slower but it compounds. Get quoted in a local business journal. Submit a guest post to an industry publication. Make sure you're listed in every relevant association directory. Each citation is another vote that tells AI tools who you are and what you do.
The businesses winning in AI search right now aren't the ones with the biggest ad budgets. They're the ones whose information is the clearest and most consistent across the web.
What about Google's AI Overviews specifically?
Google's AI Overviews (formerly Search Generative Experience) pull from indexed pages and apply their own ranking logic, but the same principles apply. Google has confirmed that AI Overviews draw heavily from pages already ranking well in traditional search, so there's no shortcut around having solid fundamentals. What changes is that now a featured snippet isn't enough. You want to be the source that gets summarized, which means your content needs to be more complete and more clearly structured than what's currently ranking.
What we'd actually do
- Run the AI audit today. Query ChatGPT, Claude, and Perplexity with your business name and your service category plus city. Document every gap or error. That list is your immediate to-do.
- Add structured data and fix your NAP this week. These are technical tasks with high leverage. An hour of work can change what AI tools pull about you within weeks as data refreshes.
- Commission one real FAQ page per core service. Write it to answer buyer questions, not to sell. Specific, accurate, and longer than 500 words. This is the content AI tools actually cite.
If you want to go deeper on GEO, content structuring for AI citation, and how to track whether it's working, that's exactly what we work through inside the community at skool.com/aiforbusiness.
FAQ
How do I know what AI tools are saying about my business right now?
Open ChatGPT, Claude, and Perplexity and search your business name directly. Also search your service category plus city, the way a buyer would. Screenshot everything. This gives you a baseline in under 30 minutes and shows exactly where you're missing or misrepresented.
Is optimizing for AI search different from regular SEO?
The foundations overlap but the goal shifts. Traditional SEO targets a ranking position. GEO (Generative Engine Optimization) targets being selected as a cited source in an AI-generated answer. That means clarity, structured data, and third-party authority matter more than keyword repetition.
How long does it take to influence what AI says about a business?
Technical fixes like structured data and directory cleanup can reflect in AI responses within a few weeks as data refreshes. Content-based changes, publishing FAQ pages and earning citations, typically take two to three months to show up consistently. Neither requires a big budget, just deliberate execution.
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