For the last 20 years, digital advertising has been built around search engines and social platforms. Now, a new shift is underway: ads are beginning to appear inside AI chat experiences, including large language models (LLMs) like ChatGPT, Perplexity, and others. This doesn’t mean the end of traditional search and social advertising. But it does signal the beginning of a new category of paid visibility: advertising inside conversational AI.
So the real question becomes: should your business be advertising in LLMs, or is this another trend you can safely ignore for now?
What Does “Advertising in LLMs” Even Mean?
LLMs are quickly becoming a new interface for finding information.
Instead of typing a search query like “best CRM for small business,” a user might ask an AI assistant: “What CRM should we use if we need email marketing and pipeline tracking but don’t want Salesforce pricing?”
That’s a different kind of intent — and a different kind of decision-making environment.
When ads enter these spaces, they won’t behave exactly like traditional search ads. They’ll likely appear more like:
- Sponsored recommendations
- Promoted answers
- Paid placements within “suggested” tools or vendors
- Advertiser-supported results inside conversational flows
The format will evolve, but the shift is clear: LLMs are becoming a discovery channel.
Why This Matters (Even If You’re Not Ready to Buy Ads Yet)
Even if your business never advertises inside ChatGPT or other AI platforms, LLMs are already influencing:
- What brands users trust
- Which companies make a buyer’s shortlist
- How people compare vendors
- What “default” recommendations are surfaced
- What questions prospects ask before they ever reach your site
In other words, LLMs are shaping the buyer journey upstream. Once ads enter the experience, platforms will start monetizing that attention the same way search engines did.
The Big Difference: LLM Ads Aren’t Just “Search Ads 2.0”
Search ads are still primarily query-initiated (keyword-driven), and then refined by context.
LLM ads will likely be primarily context-initiated, and may not rely on keywords at all.
Instead of bidding on a phrase, advertising in LLMs may be influenced by things like:
- The user’s goals and intent
- The conversation history
- The type of solution being requested
- The stage of decision-making
- The platform’s confidence in what the user needs
This is a fundamentally different model than: keyword → ad → click.
It’s closer to: conversation → recommendation → next step.
Who Should Pay Attention First?
Not every business will benefit equally. But there are categories where LLM advertising is likely to become important early.
1) B2B companies with complex offerings
If your product or service requires explanation, LLMs are already becoming a preferred research tool.
2) Companies competing in crowded markets
If buyers ask an AI assistant for “top options,” only a small set of vendors will be mentioned, and paid placements will almost certainly play a role.
3) Brands with long sales cycles
When decisions take weeks or months, being present earlier in the research stage becomes more valuable.
4) Businesses where trust is everything
LLM users often treat AI responses like expert guidance. If ads are blended into that experience, trust signals will matter even more.
Who Might Want to Wait?
For many businesses, the smartest move in the near term may be to watch and prepare, not rush in.
You may want to hold off if:
- Your current paid media is already producing strong ROI
- You don’t have a clear conversion path after discovery
- You’re in a highly regulated category
- The platforms don’t yet offer enough targeting, transparency, or reporting
Early-stage ad programs tend to be limited — and sometimes expensive — until the ecosystem matures.
The Bigger Opportunity: LLM Visibility Isn’t Only Paid
Advertising inside LLMs will matter, but organic visibility inside LLMs will matter too.
In the same way Google Ads didn’t replace SEO, LLM ads won’t replace:
- Strong website content
- Authority building
- Brand trust
- Clear positioning
- Structured information AI can interpret
The sites that win in LLMs long-term will likely be the ones that are:
- Easiest to understand
- Easiest to compare
- Consistently referenced online
- Supported by clear proof points and differentiation
Organic visibility in LLMs is highly dependent on clarity, positioning, and credibility.
The Real Question: Do You Want to Be a Default Recommendation?
As LLMs become more embedded in daily workflows, users will increasingly ask AI questions like:
- “What vendor should I use?”
- “What’s the best platform for this?”
- “What company should I call?”
- “What’s the safest option?”
- “Who is trusted for this?”
If your business shows up naturally, great. If paid placements become part of that ecosystem, then advertising becomes less about clicks and more about being in the “shortlist.”
What Businesses Should Do Right Now
Even if you’re not ready to advertise inside LLMs, there are smart, practical steps you can take today.
1) Start treating LLMs as a channel
Not as a novelty, but as a real part of your discovery ecosystem.
2) Audit how your brand is represented
When AI tools describe your category, do they describe your company accurately?
3) Strengthen your positioning and proof
LLMs reward clarity. The clearer your messaging, the more likely you are to be referenced correctly.
4) Build a marketing strategy that doesn’t rely on one platform
The next decade of digital marketing won’t be “Google vs. social.” It will be “Google + social + AI discovery.”
Should You Be Advertising in LLMs?
For most companies, the honest answer today is: not yet — but you should absolutely be preparing. LLM advertising is still in its early phases. Platforms are experimenting. Reporting is limited. Formats are evolving, but the direction is clear: just like paid search became essential once buyer behavior shifted online, advertising in AI will become important as buyer behavior shifts conversational.
The businesses that benefit most won’t be the ones who jump in blindly — they’ll be the ones who understand the shift early and build the foundation now.