TL;DR: Marketers rushing to shift SEO budgets toward AI search optimization may be moving too fast, as experts from DAC Group argue that business model and content readiness should drive the decision, not industry hype.
The question is no longer whether AI is changing search. It is whether your business is actually positioned to benefit from chasing it. According to a Search Engine Journal webinar featuring DAC Group’s Alex Hernandez and Orli Millstein, the assumption that more AI optimization automatically equals more growth does not hold up under scrutiny.
Why Generative Engine Optimization Is Not a Universal Fix
Generative Engine Optimization, or GEO, is the practice of structuring content to appear in AI-generated answers from tools like ChatGPT, Perplexity, and Google’s AI Overviews. The pressure to invest here is real, but the payoff varies widely by industry. Hernandez and Millstein argue that business model, product complexity, and customer journey are the true determinants of whether AI visibility should be accelerated, balanced, or deprioritized altogether.
A brand selling a low-consideration consumer product operates in a fundamentally different environment than an enterprise software company with a long sales cycle. Blanket reallocation of SEO budget toward GEO without validating where AI will drive incremental growth is a fast way to dilute performance across both channels.
The Diagnostic Before the Decision
The DAC framework centers on three diagnostic layers before any budget moves. First, ask which signals actually influence AI-generated answers in your category. Second, run a content readiness audit to determine whether your site, messaging, and authority signals can support AI visibility. Third, model the revenue impact against realistic traffic scenarios before rewriting your roadmap.
This matters because AI search and traditional search reward different content characteristics. Traditional SEO favors keyword relevance, backlink authority, and technical health. AI engines tend to surface content that is structured, direct, and demonstrates clear topical authority. A site that has not earned credibility in traditional search is unlikely to be cited consistently by AI systems either.
AEO as a Complement, Not a Replacement
Answer Engine Optimization, or AEO, takes a narrower focus than full GEO strategy. As CMSWire reports, structured AEO content strategies are already producing measurable AI search traffic for brands that implement them correctly. The key distinction is that AEO targets specific question-and-answer formats, making content easier for AI engines to extract and cite.
Teams that treat AEO as a complement to existing SEO rather than a replacement are finding that both channels reinforce each other. Strong organic rankings still signal authority to AI systems, and well-structured FAQ and definition content serves both human readers and machine retrieval equally well.
Analysis
This is a useful counterpoint to the panic-driven AI pivots happening across marketing teams right now. A lot of organizations are shifting resources toward AI search without asking whether their customers are even using AI tools to find them. The framework’s emphasis on business model fit is sensible. A local service business with customers doing transactional searches behaves very differently from a B2B software company where buyers do months of research before contacting sales.
The content readiness audit angle is worth taking seriously. Many companies that struggle with traditional SEO have the same underlying problems: thin content, weak authority signals, and inconsistent messaging. Pouring those same assets into AI optimization won’t fix anything. The question isn’t just “can we get cited by an AI answer” but “do we have the substance to deserve that citation.”
That said, the article doesn’t present data on how much AI search traffic actually converts compared to traditional organic search. It’s not clear from the article whether businesses that have invested in GEO early are seeing measurable revenue impact. The framework is logical, but the underlying evidence base for when AI visibility pays off is still thin across most industries.
The broader context here is that the search landscape is genuinely shifting. AI Overviews from Google, ChatGPT’s browsing features, and Perplexity are all changing how some users find information. The question is whether that shift is large enough and relevant enough to your specific audience to justify budget changes today. For most businesses, the honest answer is probably “not yet, but monitor closely.”
Key Takeaways
- Do not reallocate SEO budget toward AI search without first validating where AI will generate incremental revenue for your specific business model.
- Run a content readiness audit covering site authority, messaging clarity, and structured data before investing in GEO or AEO.
- Product complexity and customer journey length should shape how aggressively you pursue AI visibility.
- AEO content strategies targeting direct questions can drive measurable AI search traffic without abandoning traditional SEO foundations.
- Traditional SEO authority and AI search visibility are complementary, not competing, when content is structured to serve both.