Discussion Advertising AI Business Models

How will advertising work in AI search? If ChatGPT gives answers directly, where do the ads go?

DI
DigitalAds_Director · Paid Media Director
· · 91 upvotes · 10 comments
DD
DigitalAds_Director
Paid Media Director · January 6, 2026

The question that’s keeping our team up at night:

The problem:

Google’s business model: User searches -> Google shows ads -> User clicks -> Google gets paid

AI’s model: User asks -> AI gives answer -> User is satisfied -> Where’s the ad?

What I’m trying to understand:

  1. How will ChatGPT/Perplexity actually make money at scale?
  2. What will AI advertising look like?
  3. Should we be preparing for AI ad placements?
  4. Does this change the value of organic AI visibility?

We spend millions on Google Ads. If AI search grows, where does that budget go?

Looking for informed speculation from people who’ve thought deeply about this.

10 comments

10 Comments

AA
AdTech_Analyst Expert Advertising Technology Analyst · January 6, 2026

This is THE business model question for AI search. Let me break down what we know:

Current monetization approaches:

PlatformCurrent ModelAd Strategy
ChatGPTSubscription (Plus/Team/Enterprise)Testing, no public ads yet
PerplexitySubscription + Early ad testingSponsored questions, brand placements
Google AI OverviewsIntegrated with Google AdsAdapting existing ad platform
Microsoft CopilotBundled with M365Light ad integration

The economic problem:

AI search is expensive to run:

  • Each query costs 4-5x more compute than traditional search
  • No immediate click-through for traditional ads
  • User satisfaction comes from NOT clicking away

Emerging ad formats:

  1. Sponsored follow-up questions - “Would you like to learn about [Brand]?”
  2. Featured citations - Brands pay to be cited in answers
  3. Contextual post-answer placements - Ads after AI finishes
  4. Subscription ad-free - Users pay to avoid ads

The tension:

AI’s value is frictionless answers. Ads create friction. How do you monetize without destroying the product?

DD
DigitalAds_Director OP · January 6, 2026
Replying to AdTech_Analyst
If AI ads are more expensive to serve, does that mean AI advertising will be more expensive for advertisers?
AA
AdTech_Analyst Expert · January 6, 2026
Replying to DigitalAds_Director

Almost certainly yes, initially.

The cost structure:

Google search ad cost: ~$1-3 CPM equivalent for the compute AI query cost: ~$5-15 per 1,000 queries for compute alone

Someone has to pay for that difference.

Likely implications:

  1. Higher CPCs/CPMs - AI ad placements will be premium-priced
  2. More selective targeting - Only high-intent, high-value queries monetized
  3. Quality requirements - Platforms may be pickier about which ads to show
  4. Performance pressure - ROI scrutiny will be intense

The opportunity:

If AI ads are expensive and limited, ORGANIC AI visibility becomes proportionally more valuable.

Being cited in AI answers (free) vs paying for AI ad placement (expensive) is a significant economic difference.

Strategic implication:

Invest in organic AI visibility now. When AI advertising matures and costs become clear, you’ll be glad you built organic presence.

ME
MediaBuyer_Expert Senior Media Buyer · January 6, 2026

Media buyer perspective on preparing for AI ads:

What I’m doing now:

  1. Tracking AI ad announcements - Following Perplexity, OpenAI, and Google AI ad product news

  2. Testing where available - Perplexity has early ad programs; we’re in the beta

  3. Budget scenario planning - Modeling what happens if we shift 10/20/30% of search budget to AI

  4. Organic AI investment - Building citation-worthy content now

Early learnings from Perplexity ad testing:

  • Sponsored questions feel native but limited inventory
  • CPC equivalents are 2-3x Google so far
  • Conversion tracking is immature
  • Results are promising but small scale

My prediction:

AI advertising will mature over 2-3 years. Early adopters will learn, but scale won’t come immediately.

Budget recommendation:

For 2026: 95% traditional search, 5% AI experimentation For 2027: 85% traditional, 15% AI (adjusting based on results) Beyond: Rebalance as market matures

Don’t shift budget before there’s inventory to buy.

BV
BrandMarketer_View · January 5, 2026

Brand marketing perspective:

The organic vs paid rebalancing:

In traditional search: Paid dominates consideration queries. SEO captures informational.

In AI search: Everything is organic answers. Paid is an afterthought (so far).

What this means for brand strategy:

If AI search grows and advertising is limited, organic visibility becomes the primary driver.

Being RECOMMENDED by AI is potentially more valuable than buying an ad next to the recommendation.

The trust differential:

Google Ad: “This is a paid placement” (users know) AI Citation: “This is what the AI thinks is best” (perceived as neutral)

AI recommendations carry implicit endorsement. Paid placements won’t have that same trust.

Strategic shift:

We’re moving budget from paid consideration campaigns to:

  • Content that earns AI citations
  • Third-party presence building
  • Brand awareness that influences AI training

The goal: Be what AI recommends, not what AI advertises.

SR
StartupAds_Reality · January 5, 2026

Startup perspective on AI advertising:

Our challenge:

We can’t compete with big brands on Google Ads (too expensive).

AI search initially seemed like a level playing field - best answer wins, not biggest budget.

Our concern:

If AI advertising develops, will we get squeezed out again?

Big brand with AI ad budget > Small brand with great content?

What we’re doing:

Racing to build organic AI visibility NOW, before advertising becomes mature.

If we establish strong citation patterns organically, we’ll have a base that doesn’t depend on ad budget.

The window:

2024-2026 might be the golden window for organic AI visibility before paid options dominate.

Similar to early SEO before paid search became essential.

Startups should capitalize on this window.

G
GoogleWatcher Industry Analyst · January 5, 2026

Google’s strategic position here:

Google can’t abandon advertising:

  • $200B+ annual ad revenue
  • 80%+ of company revenue
  • Entire business model depends on it

Google’s likely AI advertising approach:

  1. Integrate AI Overviews with existing ads - Already happening
  2. Maintain traditional results below AI - Users can still click
  3. Develop AI-native ad formats - Sponsored AI suggestions
  4. Premium AI ad placements - Higher prices, limited inventory

The Google advantage:

Google already has:

  • Advertiser relationships
  • Ad infrastructure
  • Targeting data
  • Measurement systems

They’ll adapt AI advertising faster than startups building from scratch.

Implication:

Google AI advertising will likely be the biggest AI ad platform initially. If you’re preparing for AI ads, start with Google’s evolving products.

P
PredictionsExpert Expert · January 5, 2026

My predictions for AI advertising evolution:

2026:

  • Experimental ad formats across platforms
  • Limited inventory, high prices
  • Organic citations still dominant for visibility

2027:

  • Perplexity and ChatGPT launch proper ad products
  • Google AI ads become more sophisticated
  • 10-15% of AI queries have ad elements

2028-2030:

  • AI advertising matures to similar sophistication as search ads
  • Bidding systems, targeting, measurement all developed
  • 30-40% of AI queries monetized

The constant:

Organic AI visibility will always have value. Even if advertising becomes prevalent:

  • Users distinguish between organic and paid
  • Organic citations carry trust advantage
  • Cost to compete organically remains lower

My advice:

Build organic AI presence now. Add AI advertising later as it matures. The organic foundation will make paid more effective anyway.

DD
DigitalAds_Director OP Paid Media Director · January 4, 2026

This discussion has helped me think about our strategy.

Key takeaways:

  1. AI advertising is coming but immature - Perplexity testing, Google adapting, ChatGPT TBD

  2. Higher costs expected - AI compute costs mean premium pricing for ads

  3. Organic value increases - If ads are expensive and limited, organic citations are gold

  4. Window of opportunity - 2024-2026 is the time to build organic presence before ads dominate

  5. Google will lead - Their ad infrastructure gives them an advantage in AI ad development

Our strategy:

Near-term (2026):

  • 95% budget stays in traditional search ads
  • 5% experimental AI ad testing where available
  • Significant investment in organic AI visibility

Medium-term (2027-2028):

  • Rebalance as AI ad inventory becomes available
  • Evaluate ROI of AI ads vs traditional
  • Maintain organic AI presence as foundation

Long-term view:

Organic AI visibility is the equivalent of domain authority in traditional SEO. Building it now creates lasting advantage.

Paid AI advertising will be a complement, not a replacement for organic presence.

Thanks everyone for the thoughtful perspectives.

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Frequently Asked Questions

Will AI search platforms have advertising?
Yes. Perplexity has already tested sponsored questions and answers. Microsoft’s Copilot includes some ad elements. Google AI Overviews integrate with existing Google Ads. ChatGPT’s monetization strategy is still evolving but advertising is expected.
How will AI search ads work?
Emerging formats include: sponsored follow-up questions, featured brand mentions within answers, contextual placements after AI responses, sponsored source citations, and subscription-based ad-free experiences. The formats are still experimental.
Will AI advertising replace traditional search ads?
AI search ads will complement, not replace, traditional search advertising initially. Google’s ad business is too valuable to abandon. The challenge is making AI ads effective without degrading user experience.
What does this mean for marketers?
Marketers should prepare for AI advertising while investing heavily in organic AI visibility. Early data suggests AI ads may be more expensive (higher compute costs) and organic citations in AI may become even more valuable as advertising options develop.

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