You just ran a free AI visibility check. You typed in your URL, picked a few prompts, and now you're staring at results across ChatGPT, Claude, Perplexity, Gemini, and Grok.
Maybe your brand showed up. Maybe it didn't. Maybe one AI mentioned you and the other four pretended you don't exist.
Whatever happened, the check itself was just step one. The value comes from what you do next. Let's walk through every scenario and build you an action plan.
Scenario 1: You're not mentioned at all
This is the most common result, and if it's yours, take a breath. You're in the majority.
Most businesses are invisible to AI right now. When someone asks ChatGPT "What's the best project management tool for freelancers?" or "Who's a good SEO consultant in London?", only a handful of names come up. AI recommendations are concentrated. A few brands capture the vast majority of mentions in any category, and everyone else gets nothing.
That sounds discouraging. But here's the flip side: this means the channel is wide open. Unlike Google, where you're competing against a decade of SEO efforts and millions of backlinks, AI visibility is a newer playing field. The businesses that take it seriously now will be the ones AI recommends a year from now.
So what do you actually do?
Start with a GEO audit
Before you start creating content or changing your website, you need to understand why AI can't see you. Run a free GEO audit to check the technical foundations.
A GEO audit looks at whether AI crawlers can actually access your site. Are you blocking GPTBot, ClaudeBot, or PerplexityBot in your robots.txt? Do you have structured data that helps AI parse your business? Is your content organized in a way AI systems can process?
You'd be surprised how often the fix is purely technical. Plenty of businesses have great content that AI simply can't reach because a robots.txt rule blocks the crawlers.
Check your content gaps
If the technical side is clean, the issue is usually content. AI recommends brands it understands deeply. And "deeply" means more than a homepage and a services page.
Ask yourself: does your website clearly answer the questions your potential customers are asking? If someone types "best Shopify consultant for DTC brands" into ChatGPT, does your site contain enough specific, detailed content about Shopify consulting for DTC brands that AI could confidently recommend you?
Use a free content opportunity finder to identify the topics and questions where your content falls short. These are the gaps between what your customers ask AI and what your website actually covers.
Build entity clarity
AI needs to understand what your brand is before it can recommend you. That means consistent, specific positioning everywhere your brand appears online.
Your website, LinkedIn, directory listings, review profiles, guest posts. Every touchpoint should tell the same story. Not "We help businesses grow" but "We're a Shopify migration consultancy that has moved 200+ DTC brands from WooCommerce to Shopify Plus."
The more specific and consistent your identity, the easier it is for AI to categorize you and match you to relevant queries.
Scenario 2: You're mentioned but described poorly
This is a frustrating place to be. AI knows you exist, but it's telling people the wrong things about you.
Maybe it describes you as offering services you stopped providing two years ago. Maybe it positions you as a budget option when you're premium. Maybe it confuses you with a different company entirely.
The important thing to understand: AI descriptions aren't invented from nothing. They reflect what the web says about you. If the description is wrong, the web presence is inconsistent.
Audit your web presence for inconsistencies
Start by searching your brand name across every platform you can think of. Your website, LinkedIn company page, personal LinkedIn profiles of founders, Google Business Profile, industry directories (G2, Clutch, Capterra, etc.), review sites, old press mentions, podcast descriptions.
Write down what each source says about your business. You'll likely find conflicts. Your website says you're a "content strategy agency" while your LinkedIn still says "social media marketing." An old Clutch profile lists services you no longer offer. A podcast description from 2023 positions you completely differently.
Each inconsistency weakens AI's confidence in understanding your brand. Fix them systematically, starting with the highest-authority sources.
Create definitive content about your brand
Your website should contain the clearest, most authoritative description of what you do, who you serve, and what makes you different. This isn't a branding exercise for humans only. It's the primary source AI uses to understand your business.
Write a detailed "About" page that leaves no ambiguity. Create service pages that explain your methodology with specifics. Publish case studies with real numbers and outcomes. The more concrete and specific your content, the more accurately AI will describe you.
Update directories and profiles
After fixing your website, go through every external profile. Update descriptions to match your current positioning. Remove outdated services. Ensure the same core message appears everywhere.
This process takes a few hours of focused work. And it's worth it because AI aggregates information from all these sources. When they all say the same thing, the AI's description of your brand improves.
Scenario 3: You're mentioned and it looks good
Congratulations. You're ahead of most businesses. AI knows about you, describes you accurately, and includes you in recommendations.
But this is not the time to relax.
Monitor and defend your position
AI visibility is not static. Models get updated. Competitors improve their content. New players enter your category. The recommendation you have today can disappear in next month's model update.
This is where continuous monitoring becomes important. A one-time check tells you where you stand right now. Regular tracking tells you whether you're gaining or losing ground. If a competitor starts appearing where you used to be the only recommendation, you want to know immediately, not three months later.
Track your competitors
Check which other brands AI mentions alongside yours. Are they your actual competitors? Are they being described more favorably? Do they appear on more prompts than you?
Understanding the competitive landscape in AI recommendations helps you see where you're strong and where you're vulnerable. If a competitor consistently appears with better descriptions or higher positioning in AI responses, study what they're doing differently on their website and across their web presence.
Expand to adjacent queries
You're visible on the prompts you checked. But what about related prompts you haven't tested yet? AI visibility is query-specific. Being recommended for "best email marketing tool for e-commerce" doesn't mean you'll show up for "email automation for Shopify stores," even if both are relevant to your business.
Map out the full universe of prompts your target customers might use. Test them. Find the gaps. Then create content that specifically addresses those queries.
Your action plan: the first 30 days
Regardless of where you landed, here's a practical timeline.
Week 1: Diagnose. Run your free GEO audit. Check robots.txt for AI crawler blocks. Review your structured data. Audit your brand description across all platforms.
Week 2: Fix the foundations. Unblock AI crawlers if needed. Fix structured data issues. Update inconsistent profiles and directory listings. Align your messaging everywhere.
Week 3: Create content. Address your biggest content gaps. Write detailed, specific content that answers the exact questions your customers ask AI. Focus on depth over volume. One thorough article beats five thin ones.
Week 4: Measure and plan. Re-check your visibility. Compare results against your baseline. Set up ongoing monitoring so you catch changes early.
This isn't a one-time project. It's the start of a practice. AI visibility compounds like SEO does. The businesses that show up consistently over months build stronger signals than those that do a burst of work and then forget about it.
When to re-check (and why continuous monitoring matters)
AI models don't update on a predictable schedule. ChatGPT, Claude, Perplexity, Gemini, and Grok each have their own crawling and training cadences. A change you make today might show up in one model next week and in another model two months from now.
That's why a single check gives you a snapshot but not a trend. You need repeated measurements over time to understand whether your efforts are working, whether competitors are moving, and whether AI's understanding of your brand is improving.
Checking monthly is the minimum if you're doing it manually. For businesses where AI-driven leads are becoming a meaningful channel, automating the process makes more sense. Mentionable tracks your visibility across all five major AI platforms automatically, twice a week, so you see trends forming before they become problems.
The businesses that are winning in AI visibility right now aren't the ones with the biggest marketing budgets. They're the ones paying attention. They ran the check, interpreted the results, and took specific action. Then they kept watching.
You've already done the hardest part: you checked. Now do something with what you found.
