SEO is bigger than rankings now
The old SEO playbook was simple: pick the keyword, publish the page, try to rank, watch the traffic go up. That used to be the north star. But search does not work like that anymore. Between Google AI Overviews, LLM-driven research, and all the ways people now move between search, chat, and branded queries, SEO has spread into something broader. It touches content, product, messaging, site structure, and how clearly a business explains itself.
That makes the work messier, but it also makes it more honest. The real question is not just whether a page ranks. It is whether the business is becoming easier to understand, easier to trust, and easier to choose. Jason keeps coming back to a broader standard: can you become the trusted source and answer wherever someone is searching?
Takeaway: SEO is no longer just about winning a ranking. It is about building a business that search engines, AI tools, and buyers can understand from multiple angles.
Traffic is not the whole story anymore
A lot of teams still treat traffic as the headline metric. Jason pushes back on that pretty directly. In the episode, he talks about clients losing top-of-funnel traffic because AI Overviews now answer a lot of simple informational searches right in the results. But if traffic is down 30 percent and demo requests are up 5 percent, his point is simple: maybe that traffic never really mattered.
That does not mean top-of-funnel content is useless. Sometimes it still helps build authority around a topic. But it does mean teams have to stop treating traffic as the default measure of success. For a lot of businesses, especially B2B SaaS and e-commerce brands, the better question is whether the right people are finding the company and whether that turns into branded search, pricing-page visits, demo requests, and conversions.
It also matches how people actually buy now. Someone starts in Claude or ChatGPT, narrows a shortlist there, then comes back later through a branded Google search when they are ready to act. The top of the funnel looks softer. The bottom of the funnel can look stronger. The path in between is just harder to see.
Takeaway: When search behavior changes, the answer is not panic. It is better interpretation, better measurement, and a clearer view of what actually drives results.
Own the topic, not just the keyword
Instead of obsessing over one keyword at a time, Jason talks about building enough depth around a subject that Google starts to understand what your site is really about. His example is an emergency vet client. Yes, there is a core money keyword. But that page ranks well because it is supported by a much wider body of content around symptoms, use cases, pet types, emergencies, and related questions. Over time, the site stops looking like one page trying to rank and starts looking like a source that genuinely owns the space.
That is a much better way to think about content strategy now. Not what one keyword should we chase next, but what else would someone need to know if they were seriously trying to solve this problem? What are the next ten questions? And if we do not answer them, where is the LLM going to get that information from?
That shift also pushes teams toward more specific, more useful content. Less “best project management software.” More “best software for a product manager in fintech.” Less broad volume chasing. More clarity around who the content is really for.
Takeaway: One strong page is rarely enough. What matters is the depth around it, the supporting pages, related questions, and use cases that make your authority obvious.
Internal linking is simple, and still wildly underused
Internal linking comes up in the episode as one of the easiest high-leverage things most teams still ignore. It does not require a developer. It does not take months. It does not need a giant rebuild. But it can have an outsized impact because links are one of the ways Google actually moves through a site, discovers pages, and decides what matters.
The useful distinction Jason makes is between linking out from a new page and linking into it from pages Google already knows about. That second part is where a lot of teams drop the ball. They publish the article, post it on LinkedIn, maybe tweet it, and move on. Meanwhile, they have dozens of existing pages that could be pointing to it and helping it get discovered faster.
That is why he describes internal linking as one of the most underutilized parts of SEO: high impact, low effort, massive bang for your buck. It is not glamorous, but it is one of the clearest ways to make a site more connected, more legible, and more discoverable.
Takeaway: Internal linking is one of the best overlooked tools in SEO. It is simple to do, easy to miss, and often much more powerful than people expect.
Fractional works differently when it is actually embedded
Jason’s explanation of fractional SEO gets past the buzzword quickly. In his framing, a freelancer is usually there to execute a list. An agency is often operating at a distance. A fractional leader is different because they are embedded enough to shape decisions, work across functions, and own outcomes. His phrase for it is simple: a freelancer is outside the room; a fractional person has a seat at the table.
That matters more now because SEO is no longer a tidy little channel that lives off to the side. It touches product, engineering, messaging, content, and growth. If the person leading it is too far removed from the real conversations, the strategy tends to fall apart in execution. The opposite is what Jason is after: being close enough to the work to influence priorities, collaborate cross-functionally, and keep the right things moving.
Takeaway: Fractional SEO works best when it is not treated like outsourced task work, but like accountable leadership with enough proximity to influence the real decisions.
AI can help with the work. It cannot replace judgment.
Jason is clear that AI can help with tasks, speed, and workflow. It can draft. It can organize. It can make parts of the process faster. But his pushback comes at the strategy layer. Does it understand the context of the business? Does it understand the tradeoffs? Does it know when its own recommendation contradicts the company’s actual positioning or goals? In his words, it can do some of the task stuff, but he does not think it can fully replicate the human.
That gives the episode a useful tone. It is not anti-AI, and it is not overly impressed by polished output either. It is a more grounded view: use the tools, get more efficient, improve the workflow, but do not confuse surface-level output with good judgment.
Takeaway: AI can speed up the work, but strong strategy still depends on human context, judgment, and the ability to tell when the confident answer is the wrong one.
If you want, I can do one more pass to make this even tighter for a landing page, with shorter paragraphs and slightly punchier subheads.