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Originally published on LinkedIn · May 31, 2026 · Jeff Mays
I've been running AI visibility audits for agencies over the past few months, and I keep seeing the same pattern.
An agency will come to me and say, "Our client's website is solid. SEO is good. Content is optimized. But when someone asks ChatGPT or Perplexity who to hire, our client doesn't show up. Their competitor does."
And here's what I've learned: AI visibility isn't just a website problem.
Your client's website could be perfectly optimized, and AI might still ignore them. Why? Because AI systems don't just read websites. They look for corroborating evidence across the entire web before they confidently recommend a business.
Think about it like this: if you were going to recommend a plumber to a friend, you wouldn't just look at their website. You'd check their reviews. You'd see if anyone else is talking about them. You'd look for proof that they're legitimate, active, and trusted.
AI does the same thing. And if your client's competitor has stronger off-site proof, AI will recommend them instead — even if your client's website is better.
So what exactly is AI looking for? After analyzing hundreds of audits, I've identified seven off-site signals that consistently show up when AI recommends a business.
Signal #1: Review Footprint
AI needs evidence that real customers trust the business. It's not just about having reviews — it's about volume, recency, sentiment, and the specific language people use.
A business with 50 recent Google reviews that mention specific services ("fixed my water heater same day") carries more weight than a business with 200 old reviews that just say "great service."
AI reads the reviews. It's looking for proof that customers had real experiences and would recommend the business to others.
Signal #2: Directory and Citation Consistency
Here's where a lot of local businesses fall apart: their name, address, phone number, hours, and website are listed differently across the web.
One directory says "ABC Plumbing LLC." Another says "ABC Plumbing." The phone number on Yelp is different from the one on their Google Business Profile. The website URL is inconsistent.
When AI sees conflicting information, it loses confidence. It doesn't know which version is correct, so it just... doesn't recommend them.
Consistency matters. NAP (name, address, phone), categories, service areas, hours — all of it needs to match everywhere.
Signal #3: Google Business Profile Strength
For local businesses, your Google Business Profile is one of the most powerful off-site trust signals you have.
Is it complete? Do you have the right categories selected? Are your services clearly listed? Do you have recent photos? Are you posting regularly? Are you answering questions in the Q&A section?
AI treats a strong, active GBP as evidence that the business is legitimate and engaged with customers. A neglected profile signals the opposite.
Signal #4: Third-Party Mentions
AI trusts a business more when other people are talking about it.
Local news mentions. Blog posts. Chamber of Commerce pages. Partner websites. Community pages. Podcasts. Industry publications.
These third-party mentions act as social proof. They tell AI, "Other people think this business is worth mentioning."
And when those mentions describe the business consistently — same services, same location, same expertise — AI's confidence goes up.
Signal #5: Best-of and Comparison List Presence
You know those "best plumber in Vancouver" or "top 10 dentists near me" articles? AI loves those.
Why? Because someone already did the work of evaluating and recommending businesses. AI often pulls directly from these lists when answering recommendation queries.
If your client isn't on those lists, they're missing a huge opportunity. And if their competitor is? That's probably why AI is recommending them instead.
Signal #6: Social and Professional Profile Consistency
LinkedIn. Facebook. Yelp. YouTube. Industry-specific platforms like Houzz, Avvo, Healthgrades, Zillow.
AI looks at all of them. And it's checking: does this business describe itself consistently across platforms?
If your LinkedIn says you serve Seattle, but your Facebook page says Portland, AI doesn't know which one to trust. If your Yelp category is "general contractor" but your website says "custom home builder," there's a disconnect.
Consistency across social and professional profiles reinforces AI's confidence that it knows who you are, what you do, and where you do it.
Signal #7: Authority Relationships and Backlinks
This is where traditional SEO and AI visibility overlap.
Links and mentions from authoritative sources matter. Industry associations. Certifications. Sponsorships. Vendor partnerships. Case studies. Local organizations.
These relationships signal expertise, legitimacy, and topical authority. AI sees them as evidence that the business is recognized and trusted within their industry and community.
Why This Matters for Agencies
Here's the opportunity: most of your clients don't know any of this.
They think AI visibility is a website problem. They think if their SEO is good, they're covered. They don't realize AI is looking at dozens of off-site signals before deciding whether to recommend them.
And that's where you come in.
You can show them the gap. You can help them fix it. And you can prove progress month over month with ongoing AI visibility reports.
Here's what that actually looks like in practice:
Google Business Profile optimization - Most of your clients have neglected profiles. You can offer a monthly GBP management service: fresh photos, weekly posts, Q&A monitoring, review response. This directly improves Signal #3 and gives you recurring work.
Citation audit and cleanup - Run a citation audit, find the inconsistencies (old phone numbers, wrong addresses, mismatched business names), and fix them. This is Signal #2. Most agencies charge $300-500 for this as a one-time project, then $50-100/month to maintain.
Review generation campaigns - Help clients systematically request reviews from happy customers. Set up simple email sequences or SMS campaigns. Signal #1 gets stronger every month, and you can show the improvement in their AI visibility reports.
Best-of list outreach - Find local "best of" lists, industry roundups, and comparison articles where your client should be featured but isn't. Reach out to those site owners and pitch your client for inclusion. Signal #5 becomes an active project, not just hope.
Local PR and mention building - Help clients get mentioned in local news, community blogs, chamber newsletters, and industry publications. Write and distribute press releases for newsworthy events. Signal #4 becomes a monthly content marketing effort.
Social profile audit and consistency update - Check all their social and professional profiles (LinkedIn, Facebook, Yelp, industry platforms) and make sure the business description, services, location, and contact info match everywhere. Signal #6 fixed in one project.
Authority relationship mapping - Identify associations, certifications, vendors, and partners your client works with, then get listed on their websites or get backlinks from them. Signal #7 becomes a link-building strategy with real relationships behind it.
None of this is theoretical. These are all services agencies are already offering — you're just connecting them to AI visibility as the outcome.
What I'm Seeing Work
The agencies that are winning with this approach aren't trying to sell "AI optimization" as a standalone service. They're adding it to existing retainers.
"We're already managing your SEO and your Google Business Profile. Let's also make sure you're showing up when people ask AI who to hire."
It's a natural extension of what they're already doing. And it gives clients a monthly touchpoint that proves value.
Here's a simple package structure I'm seeing agencies use:
Month 1: Run the AI visibility audit, present the gaps, sell the fix Month 2-3: Run Monthly Impact report and Citation cleanup, GBP optimization, review campaign setup Month 4: Re-run the audit, show improvement, identify next priorities Ongoing: Monthly present Monthly Impact report and GBP management, review monitoring, best-of list outreach, progress reports
The audit becomes the diagnostic tool. The monthly report becomes the retention tool. And the implementation work becomes recurring revenue.
This isn't a one-time project. It's an ongoing process — which means it's a client retention strategy that pays you every month.
Final Thought
AI search is growing fast. The businesses that show up in AI recommendations six months from now will be the ones who started building these off-site signals today.
Your clients need to know this. And you're the one who can help them get ahead of it.
If you want to see where a client stands right now, you can run a free audit at RediForAI.com/try. Takes about 90 seconds. No account required.
But whether you use our tool or not, start having this conversation with your clients. Because their competitors already are.