Buyers are asking AI. Put your ads in the answer.

You’re watching AI change how people find answers

Your buyers are asking ChatGPT instead of searching Google. They’re getting recommendations from Perplexity instead of reading review sites. The platforms where purchase decisions happen are shifting, and your current ad strategy doesn’t reach those conversations.

You’ve seen this before. Early Google Ads. Early Facebook. The companies that figured those channels out while everyone else waited built advantages that lasted years. Now it’s happening again, and you’re wondering: do we move early, or do we wait for the playbook?

The honest answer is that there’s no proven playbook yet. But there’s real inventory opening up. Google AI Overviews runs ads through existing Google Ads infrastructure. Microsoft Copilot offers placements through Microsoft Ads. OpenAI just announced ad testing for ChatGPT’s free and Go tiers. Most agencies are waiting for best practices to emerge. We think the best practices will be written by the companies willing to test now.

How we think about AI advertising

Most agencies either won’t touch AI advertising yet (too new, too risky) or oversell it (promising results no one can deliver). We take a different approach: bring two decades of paid media expertise to an emerging channel, with complete honesty about what’s known and what isn’t. Here’s what that looks like in practice.

Paid media foundation, not starting from scratch

We’ve managed multi-million dollar ad campaigns across Google, Meta, LinkedIn, and emerging platforms for almost two decades. That experience translates. Bid strategies, audience targeting, creative testing, conversion tracking, budget optimization: the fundamentals apply even when the platform is new. We’re not learning paid media basics on your budget. We’re applying proven expertise to a new channel.

Honest about what we know and don’t know

Some platforms aren’t accepting new advertisers yet. Others have limited inventory. ROI data is sparse. We’ll tell you exactly what’s accessible, what we’re learning, and what remains uncertain. This is a bet on where attention is going, and we’ll help you make that bet with clear eyes.

Learning that compounds

What we test, what works, what doesn’t. It all goes in your Client Journal. At the end of month one, you’ll have: tested creative approaches, early engagement benchmarks (where available), a map of which platforms have inventory for your category, and a prioritized plan for what to test next. When these platforms mature, you’ll have a head start because we documented the learning curve.

Paid + organic AI presence work together

If we’re handling your AI visibility (organic citations), we understand how you’re being mentioned without paying. That context informs ad strategy. Paid placements and organic citations compound: organic builds credibility, paid drives immediate visibility, and intelligence from each informs the other.

See how we approach paid advertising →

What’s included

Here’s what we typically cover. The exact mix depends on which platforms you’re targeting and what access is available.

Platform access and setup

We monitor access windows across ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, and emerging platforms. When platforms open to new advertisers or expand beta programs, we move fast. Account setup, verification, and technical configuration so you’re ready when inventory becomes available.

Why this matters: Access is the bottleneck right now. Companies that aren’t monitoring miss windows. Companies that aren’t prepared when windows open lose weeks to setup while competitors start testing.

See how we run paid search →

Campaign strategy and planning

Ad formats in AI platforms differ from traditional search and social. Sponsored follow-up questions. Sidebar placements. Contextual integrations. The difference: users are mid-conversation, not mid-scroll. They’re asking questions, not browsing. Strategy has to account for that intent shift.

Why this matters: You can’t copy-paste Google Ads strategy into ChatGPT. The user mindset is different, the formats are different, and what counts as “relevant” is different. Strategy built for conversational context outperforms strategy borrowed from search.

Creative development

Most AI ad formats are text-heavy: sponsored prompts, follow-up questions, conversational placements. Some platforms support video (Perplexity sidebar) or product imagery for shopping queries. We handle creative development for all formats: writing sponsored prompts, producing video assets, adapting existing creative for AI-native contexts. Creative development is scoped and quoted separately from ongoing management.

See how we approach content →

Budget management and optimization

AI platforms generally command premium CPMs compared to traditional display. That requires disciplined budget management. We treat your ad spend like our own money: testing methodically, scaling what works, cutting what doesn’t. No set-it-and-forget-it.

Performance tracking and reporting

Attribution in AI platforms is still evolving. We implement tracking where platforms allow, supplement with landing page analytics, and build reporting that shows what’s actually driving business outcomes. We’re honest about what we can and can’t measure.

See how we track performance →

Ongoing intelligence and adaptation

Platform features change fast. New ad formats launch. Access expands. Pricing shifts. We stay current so you don’t have to monitor every announcement. When something changes that affects your campaigns, you’ll know.

When AI advertising makes sense

Honest guidance about whether this is the right investment for your situation.

AI advertising is the right move

You have budget for experimentation. Your buyers are already using AI tools for research and recommendations. You’d rather be learning now than catching up later. You understand this is early and results aren’t guaranteed.

Traditional paid media first

If Google Ads and paid social aren’t already performing well, start there. AI advertising is an extension of paid media strategy, not a replacement. Get fundamentals working before adding emerging channels.

AI visibility first

Organic AI citations don’t require ad spend. If budget is limited, AI visibility work can get you mentioned in AI responses without paying for placements. Advertising makes more sense once organic presence is established.

Not ready yet

Platform access is limited. Budgets are tight. You need proven ROI before experimenting. No problem. This channel will still be here when timing is right. We’d rather tell you to wait than watch you spend on something that doesn’t fit.

Explore everything we do →

How AI advertising actually happens

Five phases that balance experimentation with discipline. Same framework we use for all paid media, adapted for emerging channels.

Discover

AI ads only work if we understand who you’re reaching and how they decide. We start with customer research: every persona, their questions at each stage, how they use AI tools in purchase decisions. Then we assess the platform landscape to understand what’s available, what’s in beta, and where you might get access. Competitive analysis shows who’s already advertising in AI and what they’re learning. If the foundation isn’t clear, we build it before spending a dollar.

Strategize

We make platform bets based on access probability and audience fit. Budget allocation assumes some tests will fail. That’s expected in emerging channels. Creative direction matches conversational formats to specific persona needs. Measurement frameworks work with limited data. We get clear agreement upfront on what we’re optimizing for: learning first, then performance.

Execute

Access requests and waitlist positioning. Campaign builds structured for rapid testing. Creative development for formats that don’t exist in traditional paid media. Tracking implementation where platforms allow (and workarounds where they don’t).

Launch

Small budgets first. We’re buying information, not scale. Daily monitoring in the early days. Quick pivots when something isn’t working. We don’t increase spend until we understand what’s driving results.

Optimize

What’s working, what isn’t, what we still don’t know. Budget shifts toward performing platforms. Creative iteration based on actual response data. Everything documented so the learning compounds. Quarterly reviews that decide: scale, hold, or wait for better access.

Walk through our full process →

What you learn from AI advertising informs everything else. The intelligence flows back into your broader paid media and marketing strategy.

Why AI advertising multiplies other investments

AI advertising + Traditional PPC

What you learn about messaging in AI platforms translates to Google and Bing. If certain value propositions resonate with AI users, they likely resonate with search users too. The testing insights apply across channels.

AI advertising + AI visibility

Paid and organic work together. If you’re paying for visibility on certain queries, you want organic citations reinforcing the same positioning. The intelligence from ad performance informs content strategy for organic AI presence.

AI advertising + Content marketing

AI ad formats often require different content approaches than traditional ads. What you develop for AI placements becomes content you can repurpose across other channels. The creative investment serves multiple purposes.

AI advertising + Branding

How AI platforms describe your brand in sponsored contexts reveals positioning gaps. If your ads don’t resonate, it might indicate broader messaging issues worth addressing.

Sequencing guidance

If traditional paid media isn’t working, fix that first. If your brand positioning is unclear, AI advertising will struggle to differentiate you. We’ll assess your situation honestly and recommend the right starting point.

“Early Google Ads. Early Facebook Ads. Early LinkedIn Ads. The companies that figured those out while everyone else waited built advantages that lasted years. AI platforms are opening the same window. We’d rather learn alongside clients who want to be early than wait for someone else to write the playbook.”
— Rodney Warner, Founder & CEO

Who we’re for

This is early-stage territory. AI advertising partnerships work when expectations align with that reality.

We’re ideal for

• Companies with existing paid media success who want to extend to emerging channels
• Leaders comfortable with experimentation and unclear ROI in early phases
• Teams with budget allocated specifically for testing new channels
• Organizations already investing in AI visibility who want paid to complement organic
• Decision-makers who understand first-mover advantage requires first-mover risk
• Companies that value learning and documentation over immediate guaranteed returns

We’re not ideal for

• Companies expecting proven ROI from day one
• Organizations without existing paid media fundamentals in place
• Teams that need every dollar to produce measurable results immediately
• Anyone looking for a mature channel with established best practices
• Companies without budget flexibility for experimentation
• Organizations uncomfortable with honest conversations about uncertainty and limited data

The companies that succeed are the ones willing to bet on where attention is going, not where it’s been. If you need certainty, this isn’t the right channel yet. If you want to be learning while competitors wait, let’s talk.

Find out if we’re a fit →

Transparent pricing

AI advertising follows the same model we use for PPC and Paid Social: a base management fee per platform plus a percentage of ad spend that decreases as you scale. Creative development is quoted separately.

• Investment : $1,000/month + 12%-5% of ad spend
  Per platform base fee plus tiered ad spend percentage
  Platform landscape audit from $500 | Creative quoted separately
• Timeline : Ongoing
  Month-to-month retainer with platform access driving pace
  Some platforms open now. Others have waitlists. We move fast when access becomes available.
• Payment : Monthly retainer
  Base fee plus ad spend percentage billed monthly
  Three-month minimum commitment

What drives investment

1. Number of platforms. Each AI ad platform has its own base fee and ad spend calculation
2. Ad spend level. Higher spend means lower percentage rates, tiered like tax brackets
3. Creative scope. Text prompts are simpler than video production or multi-format campaigns
4. Platform access. Available inventory varies by platform and changes frequently

Example: $75,000/month ad spend on one platform = $1,000 base + ($50,000 × 12%) + ($25,000 × 10%) = $9,500/month

No surprises, no hidden fees. Each platform is a separate engagement. This keeps pricing aligned with actual work.

Frequently asked questions