Your best customer just asked ChatGPT for a recommendation instead of Googling you. It answered confidently. Your company wasn’t mentioned.
That’s the moment more executives are living through right now, and it’s why “AI visibility” has exploded from niche jargon into a boardroom priority. But the category is young, the vendors are multiplying fast, and a good chunk of what’s being sold under the label “AI SEO” is repackaged link-building from 2015 with a new coat of paint. Before you sign a contract, you need to know what a legitimate engagement actually looks like, and what questions separate a real practitioner from someone chasing a trend.
Why This Is Suddenly Urgent
The ground shifted faster than most leadership teams noticed. Gartner has projected that traditional search engine volume will decline sharply by 2026 as generative AI tools absorb queries that used to route through a search box. Meanwhile, Pew Research Center found that when a Google search surfaces an AI-generated summary, users click through to an actual website roughly half as often as when it doesn’t, and they almost never click the sources cited inside the summary itself.
Put those two findings together and you get a blunt reality: the funnel that built your marketing playbook is narrowing, and a new one is opening in its place, one where an AI system decides whether you get mentioned at all.
What a Competent Vendor Actually Audits
A serious provider doesn’t start with promises. They start with measurement. Ask any prospective partner to walk you through their audit process before you talk pricing, and expect it to cover:
- Citation frequency: how often your brand actually appears when relevant AI tools answer questions in your category
- Source attribution: which publications, forums, and data sources the AI models are pulling from when they describe your space
- Content structure: whether your site’s information is formatted in a way large language models can parse and extract cleanly
- Competitive gaps: where competitors are being cited and you aren’t, and why
If a vendor skips straight to a proposal without running some version of this diagnostic, treat that as a warning sign. You wouldn’t hire an ad agency that skipped the audience research. This is no different.
Where the Real Work Happens
A proper engagement doesn’t stop at auditing. It has to translate findings into structural and editorial changes, and that work splits into two distinct disciplines that need to run in parallel, not sequence.
Technical and Structural Fixes
This is the unglamorous half: schema markup, clean information architecture, machine-readable FAQs, and page structures that make it easy for an AI crawler to lift accurate facts about your company. None of it is flashy. All of it is foundational, and skipping it is like building a beautiful storefront on a street with no road leading to it.
Earned Authority and Third-Party Presence
AI models tend to trust what other credible sources say about you more than what you say about yourself. That means digital PR, expert commentary, and placement in publications the models already treat as authoritative. A firm offering AI visibility services should be able to show you exactly how they build this kind of third-party credibility, not just describe it in the abstract during a sales call.
Questions to Ask Before You Sign
Vet the vendor the way you’d vet a CFO candidate: with specific, pointed questions, not vibes and case study logos.
- Can you show me a before-and-after citation report from a comparable client, with actual numbers attached?
- Which AI platforms are you tracking, ChatGPT, Perplexity, Gemini, Copilot, and how frequently do you pull that data?
- What’s your process when a model is citing inaccurate information about a client?
- How do you separate your AI visibility work from standard SEO deliverables on my invoice?
- What does month three look like versus month twelve, in concrete, measurable terms?
Vague answers to any of these should worry you more than a high price tag would. Precision under questioning is usually a decent proxy for whether someone knows what they’re doing.
The Trust Gap You Can’t Ignore
There’s a wrinkle worth building into your expectations before you sign anything. Forrester’s research on B2B buying behavior found that generative AI and conversational search now rank as a more meaningful information source for business buyers than vendor websites, product experts, or direct sales conversations. That’s a striking shift, but it doesn’t mean the human sales conversation is obsolete.
AI visibility gets you into the consideration set earlier and more reliably. It doesn’t replace the trust-building that ultimately closes a deal. Any vendor who sells this as a wholesale replacement for your existing marketing motion is overselling the category, and probably underselling what your sales team still does well.
The Real Question to Ask Yourself
The checklist matters, but it’s a filter, not a finish line. The companies pulling ahead right now aren’t the ones with the fanciest audit deck. They’re the ones treating AI visibility as an ongoing discipline, reviewed quarterly, measured honestly, and adjusted as the models themselves keep changing underneath everyone’s feet.
So before your next planning cycle locks in, ask a harder question than “which vendor should we hire”: ask whether your organization is even structured to keep pace with how fast the answer engines are rewriting the rules of discovery. That’s the conversation worth having first, and it’s the one most executive teams still haven’t scheduled.
About the Author
Derek Iwasiuk has more than 20 years of experience as a strategist and SEO for organizations in highly competitive industries. He helps businesses improve their visibility and optimize their presence on search engines and AI systems at Searchtides.com.
