For roughly two decades, digital advertising revolved around two big ideas.
Google asked:
What did this person search?
Facebook asked:
What do we know about this person?
Large language models are introducing a third question:
What is this person actually trying to accomplish?
That sounds like a small distinction.
It isn’t.
It may be one of the biggest changes paid advertising has gone through since social advertising became mainstream.
The future of advertising is not simply AI writing more headlines for us.
It is advertising systems understanding intent, context, problems, preferences and outcomes well enough that much of the old targeting machinery becomes less important.
And we are already seeing it happen.
First: This Is Already Happening
This part is not prediction.
ChatGPT Ads uses conversation context and advertiser-provided context hints rather than relying exclusively on traditional keywords.
Google’s AI Max for Search uses AI to expand search matching beyond an advertiser’s existing keyword list, optimize creative and understand relevant landing pages. Google is simultaneously developing ads for its conversational AI Search experiences.
Meta continues expanding AI-driven ad ranking, optimization and generative creative across Facebook and Instagram.
The platforms disagree on plenty.
On this, they seem to agree:
AI should do more of the matching.
Keywords Are Not Dying. Their Job Is Changing.
Marketers love announcing deaths.
SEO is dead.
Email is dead.
Facebook is dead.
Keywords are dead.
Somehow everybody keeps showing up for work Monday morning.
Keywords will remain useful because language still tells us what people care about.
But advertisers are gradually moving from:
Show this ad when someone types these words.
toward:
Find people whose current situation matches the problem this business solves.
That is considerably more powerful.
A person researching:
best college consultant
is valuable.
A system understanding that the person has a high-school junior, is overwhelmed by application deadlines, needs scholarship guidance and is comparing professional help is potentially far more valuable.
The keyword gave us three words.
The conversation gave us the problem.
Targeting Will Move From Audiences to Situations
This is where I think the biggest shift happens next.
Traditional digital advertising made marketers build audiences.
Age.
Location.
Income.
Interests.
Search terms.
Website visitors.
Lookalikes.
Customer lists.
AI advertising will increasingly let marketers describe situations.
Someone planning a multigenerational vacation.
Someone deciding whether to repair or replace an AC system.
Someone comparing private school, homeschool and microschool options.
Someone trying to understand whether recurring problems with a new vehicle may qualify under a lemon law.
The system does more of the work connecting the situation to the advertiser.
We are already seeing the beginning of this in OpenAI’s context-hint system. Context hints describe situations and needs but are explicitly not exact-match targeting rules.
That is a fundamental change.
Your Website Becomes Part of Your Advertising Targeting
This is the part businesses should be paying attention to right now.
AI advertising systems need to understand what you sell.
Google AI Max uses information from landing pages and URLs to help identify relevant search opportunities and generate more appropriate ad experiences.
ChatGPT considers elements including the advertiser’s landing page as part of ad relevance.
So the quality of your website is no longer just a conversion issue.
It increasingly becomes an advertising data issue.
If your website vaguely says:
We provide innovative solutions tailored to your unique needs.
Good luck.
What do you actually do?
Who do you do it for?
Where?
When does somebody need you?
What problem do you solve?
What does it cost?
What happens next?
Businesses with clear, structured websites give AI systems much better information to work with.
This is one of the reasons SEO, AEO and paid media are becoming harder to treat as separate departments.
Creative Will Multiply
For years, advertisers tried to find “the winning ad.”
AI is going to make that concept increasingly outdated.
The future looks more like:
One offer.
Ten customer situations.
Twenty messaging angles.
Multiple images.
Multiple videos.
Different calls to action.
Different placements.
Then an AI system assembles, tests and delivers the most relevant combination.
OpenAI already recommends advertisers build multiple genuinely distinct ad variations so its system has more opportunities to find relevant conversational matches.
Meta is pushing further into AI-generated images and video for advertisers, while Google continues integrating generative creative tools throughout its ad ecosystem.
That sounds like creative becomes easier.
Part of it will.
But it creates another problem.
When anyone can produce 100 ads, mediocre advertising becomes infinitely scalable.
Brand strategy matters more, not less.
The Landing Page May Change Too
Today the typical flow looks like this:
Ad.
Click.
Website.
Landing page.
Form.
Follow-up.
But conversational AI creates the possibility that more evaluation happens before the click.
People may ask about features.
Compare options.
Ask follow-up questions.
Narrow the choice.
Evaluate pricing.
Then visit the advertiser when they are considerably further down the decision path.
That could mean fewer low-quality clicks.
It could also mean the click becomes more valuable.
Your landing page will still matter.
But its job may shift from educating a cold visitor toward confirming a decision the visitor has largely formed already.
That is a very different page.
AI Agents Are the Bigger Change Coming Behind LLMs
Conversational ads are only the first chapter.
The bigger question is what happens when AI stops merely recommending and starts doing.
Google is already building toward agentic commerce, including infrastructure designed to help AI-driven systems move consumers from discovery toward transactions.
Imagine telling an AI assistant:
Find a dolphin tour in Myrtle Beach Tuesday morning for six people, make sure my mother can board safely, keep it under $500 and book the best-reviewed option.
The customer may not visit twelve websites.
An agent may research twelve businesses for them.
That changes marketing.
Your business does not only have to persuade the person.
It also has to be understandable to the machine acting for the person.
Availability.
Pricing.
Location.
Reviews.
Policies.
Product information.
Services.
Structured data.
Booking capabilities.
All of that becomes marketing infrastructure.
Organic AI Visibility and Paid AI Advertising Will Exist Together
There is another distinction businesses need to understand.
You cannot simply buy your way into an AI answer.
OpenAI explicitly separates advertising from ChatGPT’s responses. Advertisers cannot pay to influence what ChatGPT says or which businesses it recommends in the organic answer.
That makes AI visibility look a little like Google did all along.
There is an organic side.
And a paid side.
For AI, the organic side includes AEO, entity clarity, useful content, reputation, structured information and authority.
The paid side includes platforms such as ChatGPT Ads and AI-powered Google advertising.
Businesses will need both.
That is why I would not stop investing in SEO because ChatGPT now sells advertising.
If anything, I would do the opposite.
Measurement Will Become More Important Because Targeting Will Become Less Visible
There is a tradeoff in almost every AI advertising system.
The machine gains more control.
The advertiser sees less of the machinery.
That can work beautifully when the data going in is good.
It can also burn money beautifully when it isn’t.
As targeting becomes more automated, the advertiser’s job shifts upward.
We need to get much better at telling systems what a good customer actually looks like.
Not:
Give me leads.
But:
Give me profitable booked customers.
Google increasingly encourages advertisers to optimize around conversion value rather than simply conversion volume. Meta continues investing in incrementality and attribution models. ChatGPT now supports downstream conversion measurement and conversion-optimized campaigns.
AI is only as smart as the outcome you train it to chase.
If you feed it junk conversions, it will become incredibly efficient at finding more junk.
What I Think Paid Advertising Looks Like in the Next Few Years
This part is prediction.
I think the traditional walls between SEO, paid search, social, website content and CRM data continue to collapse.
The ad platform increasingly handles bidding.
AI handles more audience discovery.
AI generates more creative variations.
The marketer’s real job becomes:
Define the customer. Define the problem. Define the offer. Give the system accurate data. Build the authority around the business. Measure what became revenue.
That is a much more strategic job than changing bids by 12 cents all afternoon.
And frankly, that is probably a good thing.
The Businesses That Win Will Be the Easiest for Both People and Machines to Understand
This is the part I would act on now.
Do not wait for another six AI advertising platforms to launch.
Make your business incredibly clear online.
Explain exactly what you do.
Create individual pages for important services.
Answer the questions customers actually ask.
Publish real expertise.
Build reviews.
Use structured data.
Track conversions correctly.
Connect your CRM.
Clean up your analytics.
Create strong original imagery and video.
Know the economics of a new customer.
Those things help today on Google.
They help on Meta.
They help organic AI visibility.
And they create the foundation required for conversational and agentic advertising.
The interface is changing.
The fundamentals aren’t.
Be useful. Be clear. Be credible. Show up when the customer needs you. Measure whether it made the business money.
Everything else is software.