Why AI engine optimization is set to replace SEO
Industry analyst Jeremiah Owyang warns that traditional SEO driving clicks to websites is breaking as users increasingly get answers directly inside chatbots. Marketers must now pivot to AI Engine Optimization, deliberately feeding data and custom APIs to foundational models to get cited and recommended.

For twenty years, digital marketing came down to one goal: winning Google's top spot.
That playbook is about to expire. Longtime industry analyst and investor Jeremiah Owyang told VentureBeat that Bill Gates' vision of personal AI is arriving, bringing an end to traditional SEO. In its place comes what he calls AI Engine Optimization, or AEO.
"The advertising model as we know it — getting people to go to your website and view it — that's going to break," Owyang said. Instead of buying search ads, marketers will pay foundational models to slip sponsored sentences directly into generated responses.
Feed the model, skip the clicks
OpenAI just launched its own web crawler last week, but Owyang thinks scraping websites won't cut it for long. Consumers are increasingly getting their answers inside chat interfaces rather than visiting media or corporate sites.
That shift demands a counterintuitive move from publishers and brands. While many are blocking crawlers to protect their IP, Owyang argues you should want LLMs to ingest your work. Chatbots like Bing, You.com, and Perplexity already include citations in their answers. If the model knows your content inside out, your brand gets cited first.
Websites themselves might take a back seat. Owyang predicts companies will stop treating homepages as their digital centerpieces, shifting resources toward dedicated APIs built specifically for foundational models to ingest.
Agent-to-agent commerce
This all tracks with what Bill Gates said back in May at a Goldman Sachs and SV Angel event: the first company to build a personal agent that disrupts search will dominate the market.
Investors are already moving. In June, Inflection AI raised a massive $1.3 billion round backed by Gates, Nvidia, Microsoft, Reid Hoffman, and Eric Schmidt. Inflection had rolled out its conversational bot Pi in May, followed by its Inflection-1 model in June. Owyang disclosed he is also planning an investment in the startup.
The end game here isn't just better chat answers. Owyang envisions buyer agents negotiating directly with brand agents over cars, clothes, and dinner reservations tailored to dietary needs and budgets. In that world, the best way to reach an AI agent is to deploy one of your own.
Why it matters
For marketers, publishers, and developers, this changes how discovery works. Traditional keyword stuffing and backlink strategies will deliver diminishing returns as chat interfaces replace search result pages. Anyone relying on web traffic needs to start monitoring how major LLMs summarize their category and ensure their data is structured for AI citations.
For the tech industry, this strikes right at the heart of the ad-supported web. If direct traffic dries up, the economic model funding online content breaks down, shifting distribution power entirely toward model providers like OpenAI and Microsoft.
We think Owyang is spot-on about the decline of traditional website visits, but his advice to happily feed models everything comes with real danger. Citations in chat answers rarely convert into actual website visits. If brands and creators simply give away their knowledge via APIs without viable monetization from the model makers, they risk training the very tools that make their websites obsolete.
Sources (1)
- venturebeat.com(opens in a new tab)Originalventurebeat.com