How to Choose the Right LLM Ads and AI Visibility Agency (Without Getting Burned)

Every agency that existed six months ago has an AI search page on their website now.

A handful actually built something real behind it. Most just slapped a new label on an old service and are betting nobody notices the difference until the contract’s signed. In a channel this young, where the ad formats are still being written and platforms are still rolling out inventory, that gap matters a lot more than it would anywhere established.

Pick the wrong LLM Ads agency right now, and it’s not just wasted budget. It’s the early-mover window gone, the whole reason this channel was worth entering in the first place.

Here’s what to actually look for, what to ask, and what should send you walking.

Why Is Choosing an AI Visibility Agency Harder Than Picking a Traditional Digital Agency?

Because none of the usual shortcuts work yet. In most established channels, vetting is simple, pull case studies, check results, call a few clients, done. The metrics are standardised, the methods are documented, and a decade of track record separates the good agencies from the mediocre ones.

None of that exists yet for AI search advertising. The channel is genuinely brand new. Platforms are still figuring out their own ad formats. GEO as a practice is barely eighteen months old. There’s no agreed benchmark for a decent AI share-of-voice score the way there’s a known good click-through rate for Google Ads.

That gap is exactly what lets weak work hide behind novelty. “This is new territory” happens to be true, and plenty of agencies use it as cover rather than context. Telling apart an agency genuinely building capability from one repackaging its old offering with fresh vocabulary is not something a sales call alone will reveal.

The questions below exist to force that difference into view before anything gets signed.

What Should a Real LLM Ads Agency Be Able to Show You?

One thing, clearly, before budget ever comes up: where your brand currently shows up in AI-generated answers, and where it doesn’t.

Not a slide deck about market opportunity. Not a trend report on AI search growth. An actual demonstration, live or recorded, of what ChatGPT, Perplexity, and Gemini say when asked the exact questions your buyers are already asking. That’s the floor. Any agency that can’t produce it before you’ve even signed isn’t going to produce much once you have.

Past that baseline, a few things separate agencies who understand this from ones learning on your dime.

They keep GEO and LLM Ads clearly separate in how they talk about the work. These are related disciplines, not the same one. GEO, generative engine optimization, is organic, restructuring content and building authority so AI models cite the brand without paying for it. LLM Ads are the paid placements inside those same AI-generated answers. An agency that blurs the two together doesn’t fully understand either one.

They can walk you through methodology per platform, not as one lump. ChatGPT, Perplexity, and Gemini each run different ad formats, different content extraction logic, different authority signals entirely. Gemini Ads and Perplexity’s native placements behave nothing alike, and ChatGPT Advertising has its own set of format rules. An agency running the same playbook across all three isn’t running platform-specific strategy, it’s running one idea and hoping it happens to translate everywhere.

They track AI share of voice, not just clicks and impressions. Traditional metrics tell part of the story, sure. What actually matters in AI Search Advertising is how often your brand appears in AI-generated answers for the queries your buyers actually run, measured against your competitors. If an agency can’t track and report that number specifically, they’re not measuring the thing this channel is actually built around.

They’re honest about what doesn’t work yet. Agencies genuinely doing this well know exactly where the limits sit. Some categories are further along than others. Some platform formats are more mature than others. Anyone presenting AI visibility as a fully solved, fully scalable channel right now is either behind on where things actually stand or selling past what the evidence supports.

What Questions Should You Ask Before Signing?

These are the ones that separate an agency with real capability from one that picked up the vocabulary without building the actual practice.

Show me how my brand appears in AI answers right now. A real agency runs this before your sales call even wraps up. If the answer is “we’ll do a full audit once you sign,” take that as a red flag, this isn’t complicated work, it’s the first thing any competent shop does unprompted.

Which platforms are you actually running paid placements on today? Not which ones exist in theory. Which ones the agency has genuinely activated spend on, for which client categories, with what results to show for it. A vague answer here means vague capability behind it.

Walk me through your GEO methodology. Generative engine optimization services need a specific approach to content structure, authority signal building, and ongoing citation tracking. If the answer boils down to “we optimise your content for AI,” push further and ask what that actually means. The follow-up answer tells you whether there’s a real process underneath or just a phrase.

How do you measure success beyond clicks and impressions? AI share of voice, brand citation rate, competitor citation gap, these are the numbers that actually reflect AI visibility performance. An agency measuring success the same way a standard Google Ads shop does hasn’t built anything specific to this channel.

Can I talk to a client in a similar category? Reference calls matter in any agency evaluation, but they matter more here, since a client’s direct account of timeline, transparency, and actual results tells you far more than a curated case study ever will.

What happens when a platform changes its ad format or policy? Not hypothetical, this is happening constantly and will keep happening. An agency without a clear, confident answer here doesn’t have the operational flexibility this channel currently demands.

What Are the Warning Signs an Agency Isn’t the Right Fit?

A few of these are obvious the moment you name them. Others slide right past when the sales conversation is going smoothly.

They can’t show you the organic audit before you sign. Already covered above, and it’s the single clearest signal there is.

They frame AI search as replacing SEO rather than sitting alongside it. Generative engine optimization services don’t make SEO obsolete, they cover a different surface entirely. An agency pitching GEO as SEO’s replacement either doesn’t understand both channels, or is trying to upsell one service by talking down another.

Their case studies are their own brand, never a client’s. An agency that’s figured out AI visibility for its own site but can’t point to actual client results is basically a nutritionist who’s only ever advised themselves.

They guarantee a specific citation or placement rate. No agency controls what ChatGPT decides to cite or recommend, the platforms do. Hard guarantees here mean the agency either misunderstands how the channel actually works, or plans to quietly redefine “success” into something that doesn’t reflect real AI visibility.

They fold AI search into your existing retainer at no extra cost. Real LLM Ads agency and GEO agency work needs dedicated resourcing, specific tracking tools, and ongoing platform management. If it’s showing up as a freebie bolted onto your existing SEO or paid media contract, it isn’t being resourced as its own capability, it’s an afterthought with a new label.

What Does a Good Engagement Actually Look Like?

It starts with finding out exactly where you stand. The audit should show where the brand currently appears, where competitors are getting the mention instead, and which buyer questions are being missed entirely. From there, effort gets pointed at whatever’s actually going to move the needle.

From that baseline, the work usually splits into two tracks running in parallel. GEO handles content restructuring and authority building for organic citation. LLM Ads handles paid placement strategy, platform-specific creative, bid management, conversion tracking. Each track gets its own reporting and its own success metrics, not a blended report that hides which half is actually working.

A good agency will propose both but won’t insist on starting with both. Some brands are better off building organic authority through GEO first before layering paid on top. Others are facing a specific window, a launch, a competitive moment, where paid placement is genuinely the more urgent move. The engagement should follow what the brand actually needs, not what produces the bigger retainer for the agency.

Month one, you should see a visibility baseline and an initial content plan. Month three, measurable movement in AI citation rates. Month six, a clear read on whether this channel is producing real qualified traffic and pipeline, not just impressions that look nice in a deck.

If an agency won’t commit to giving you that visibility, that’s your answer already. Connect with us and let us help you.