Guest: Laura Beatty
Founder, No Bad Days Digital
Boutique SEO agency focused on enterprise SaaS, migrations, analytics, and modern organic discovery.
In this Wolf Talks episode, Oz sits down with Laura Beatty, founder of No Bad Days Digital, to unpack what SEO actually looks like in 2026. The short version: if you still think SEO is mostly keywords, backlinks, and a monthly rank report, you are solving the wrong problem. Laura’s view is far more grounded. Search is expanding, not disappearing. Discovery is getting messier. Clicks are getting harder to win. The fundamentals still matter, but the context around them has changed fast.
Laura’s background is part of why this conversation works. She did not come out of a pure technical SEO pipeline. She started in music, trained in piano performance, worked gig jobs around San Diego, then got pulled into link building back in 2004 and built from there into serious enterprise level SEO strategy. That matters because good SEO has never belonged only to engineers or only to writers. It sits in the middle of technical thinking, content judgment, and business reality. Or, as Laura makes clear, it is a team sport.
SEO is still search. GEO is the new layer, not a replacement.
One of the first useful points in the episode is that GEO, meaning Generative Engine Optimization, is not some magical new category that wipes out SEO. It is better understood as the next layer of search behavior. Laura frames it as part of the same pattern we have seen before when search expanded beyond blue links into images, maps, snippets, and video. AI search is another interface. It changes the user journey, but it does not erase the underlying need for structured, credible, relevant content.
Q: Is GEO replacing SEO?
No. GEO is not replacing SEO. GEO is what happens when search behavior moves into AI assisted interfaces. The work still depends on relevance, structure, credibility, and discoverability. The acronym changed. The job got wider. That is different from saying the job disappeared.
That distinction matters because too many businesses are reacting to AI by treating it as a full reset. It is not. It is a shift in surface area. Your site still matters. Your content still matters. Your technical foundation matters even more because now you are not just building for Google’s crawler. You are building for multiple discovery systems that do not all interpret the web the same way.
Google AI Overviews are reducing clicks. That does not mean search stopped working.
This is probably the most practical part of the episode for business owners. Laura explains that high volume queries are still useful, but they now behave differently. They drive impressions. They help introduce the brand. They do not necessarily drive the clicks they used to, because Google AI Overviews and similar answer layers are often resolving the question before the user needs to visit a site.
If your Search Console is showing visibility but your traffic is not climbing at the same rate, that is not always a content failure. Sometimes it is the result of the answer being served directly on the results page. That is the new landscape.
Q: Why am I getting impressions but not clicks?
Because the search engine is getting better at answering the first question itself. That answer may be “good enough” for the user to stop there. So the value of ranking for broad informational terms is shifting. Those terms still matter, but mostly at the top of the funnel. The click is no longer guaranteed just because you showed up.
That leads to a more important planning question: what happens after the first query?
The real SEO opportunity is in the follow up questions
Laura talks through what she calls the fan out behavior in AI search. People rarely ask one perfect question and stop. They start broad, then refine. They compare. They qualify. They narrow by trust, value, fit, and intent. A user searching for supplements may not start by searching a brand name. They may begin with “best supplements,” then move to “most trustworthy supplement brands,” then “best value supplement brand,” and only then become ready to click or buy.
That is a useful correction to the old obsession with ranking for one high volume term. High volume terms still signal interest, but the money is often in the content that answers the next question and the next one after that.
If your content strategy only targets generic awareness queries, you are probably overinvesting in impressions and underinvesting in decision support.
A better approach is to build content around the natural progression of user questions:
- What is this category
- Which options are credible
- Which option fits my situation
- Why should I trust this brand
- What should I do next
That is a search strategy. It is also a conversion strategy.
AI engines are not replacing search. They are remixing it.
There is a lazy argument floating around that says AI engines will replace search engines altogether. Laura is more measured than that, and she is probably right. Her point is that AI assisted discovery is part of the search landscape, not the end of it. Different systems will coexist. Search is not becoming one thing. It is fragmenting into multiple behaviors and interfaces.
She also points out something important that a lot of marketers gloss over: AI engines do not yet have the same historical quality controls that Google has built over years of fighting spam and junk content. They often rely on user generated content, piggyback on traditional search results, and analyze those results in real time. That means they can surface useful answers, but they can also let through signals that a mature search system would have filtered more aggressively.
So no, AI search is not some inherently cleaner or smarter layer by default. It is fast, helpful, and increasingly influential. It is also still uneven.
That creates a strategic opening. Businesses that publish clear, well structured, trustable content have more ways to win. Businesses producing thin, vague, or technically broken content now have more ways to disappear.
Link building is not dead. Bad link building is.
This is one of the clearest segments in the interview. Oz asks Laura about link building and whether it is basically PR now. Laura agrees. That is the right framing. Link building used to be polluted by link exchanges, directories, reciprocal deals, and other shallow tactics built to game PageRank. Google learned to devalue a lot of that. The more durable approach today is not “how do I get more random links.” It is “where should my brand credibly appear, and why would that publication want to include me.”
Laura uses a smart phrase here: digital shelf space. That is a better mental model than “backlink acquisition.” Sometimes you are not the site that should rank first for a category term. But the site that does rank first may be a publisher, a comparison piece, an industry list, or a major media property. If your brand belongs in that conversation, your job is to earn that placement. That is digital PR.
Q: Is link building still worth doing?
Yes, but not as a loophole. Link building still matters when it reflects genuine authority, relevance, and placement in the right ecosystem. The old volume game is mostly dead. The credibility game is not.
Technical SEO matters more now, not less
A lot of non technical teams still treat SEO as copy plus keywords. Laura pushes back on that hard, and she is right to do it. There is a lower layer that too many businesses ignore until it breaks: redirects, crawlability, mobile experience, page speed, core web vitals, structured data, JavaScript rendering, and general digital hygiene.
Laura shares that when she visited Google and spoke with people close to search, one of the recurring themes was that SEOs have effectively been doing janitorial work for the web for years. They are the ones cleaning up broken experiences, fixing crawl issues, improving site performance, and bringing order to pages that would otherwise stay invisible or broken. That work was never glamorous. It is now more important because AI assisted discovery will rely heavily on machine readable clarity.
This is where schema and structured data become more than nice extras. When assistant based search grows, systems need clean signals. They need to understand what a page is, what the content means, how sections are prioritized, and how entities connect. Google has become fairly good at handling messy implementation over time. Other crawlers are not always as forgiving, especially around JavaScript heavy experiences.
So if you are rebuilding your site around flashy front end decisions while ignoring structure and crawl behavior, you are not modernizing. You are creating new blind spots.
Site migrations are still where companies blow up their rankings
This part of the conversation should be required reading for anyone planning a redesign, replatform, or rebrand.
Laura says she sees clients redesign or replatform every two to three years on average. Sometimes it is leadership turnover. Sometimes it is a platform limitation. Sometimes somebody just wants the site to “look fresh.” Fine. But the danger is that teams tend to focus on what users can see and forget what search engines already understand.
That is how rankings get destroyed.
A business changes URLs, drops old pages, rebuilds templates, moves content, changes internal links, forgets redirect mapping, and then wonders why traffic falls off a cliff. Laura’s work in migration strategy is about preventing that. The process starts with inventory. What pages are strong. What brings authority. What terms are working. What content deserves to survive. Then comes roadmap, information architecture, and redirect planning. That is the work that keeps a redesign from becoming an SEO funeral.
Q: Why did our rankings drop after a redesign?
Usually because the redesign team treated search equity like it was automatic. It is not. Redirects do not pass full value. Some pages get dropped. External links do not magically update. The structure changes. Sometimes the new site is prettier and weaker. That is common.
Lead Wolf has seen this firsthand in hospitality, local business, and multi location work. Somebody launches a new page, takes it down, puts it back up, breaks the crawl path, and then blames Google for inconsistency. This is usually not a Google problem. It is a process problem.
Google Search Console is still one of the best free tools in the stack
Laura calls Search Console a goldmine. She is right. It is still one of the clearest windows into how Google sees your site, what queries are creating visibility, what pages are getting traction, where errors exist, and where structured data problems or crawl issues are showing up.
Oz also asks a practical question that more people should understand: what is the difference between Google Analytics and Google Search Console?
Laura’s answer is simple and useful. Analytics tells you what happened once someone got to your site. Search Console tells you what happened before they got there. One measures behavior on site. The other measures visibility and discovery leading into the site. Both matter. They are not interchangeable.
Yes, GA4 is still frustrating
That section of the interview is refreshingly honest. Oz says he hates GA4. Laura basically agrees with the sentiment, even if she softens it a little. The practical advice is to get comfortable with Looker or similar reporting layers if you need dashboards that answer the basic questions clearly: where did people come from, what did they do, and did they convert.
This is a useful reminder that analytics maturity is not about loving the interface. It is about getting to the decision making fast enough to act.
White hat SEO still works. Here are three basics people still ignore.
Laura gives three white hat tactics that remain useful, and they are basic on purpose.
First, page structure matters. Proper heading hierarchy is not cosmetic. It helps users skim, helps crawlers interpret context, and clarifies the purpose of the page. That means strong H1s, sensible H2s, and content flow that signals priority instead of dumping everything into a wall of copy.
Second, video is not optional anymore. Laura points out that YouTube remains the second largest search engine in the world, and that transcripts make video increasingly machine readable. This matters because discovery is no longer confined to static web pages. A strong video asset, properly titled and described, becomes search inventory.
Third, use Search Console. Not occasionally. Not after something breaks. Regularly. The data is there. The issue is usually that teams ignore it until they are already behind.
Black hat still gets punished. The shortcuts are not new, and neither are the consequences.
Laura also walks through three black hat tactics that still show up and still cause damage.
The first is hidden text. This includes classic tricks like text styled to disappear, hidden containers, or any attempt to feed machines one thing and humans another. It might create a short bump in some environments. It is still risky and still stupid.
The second is keyword stuffing. Search systems are not as dumb as they used to be. You do not need to cram every variation of a phrase into the same paragraph to prove relevance. In most cases, doing that just makes the page worse for humans, which is the exact opposite of what you want.
The third is purchased link networks. Laura is very clear here. Paid link schemes can trigger manual penalties, and recovery is hard. Not annoying. Hard. That is why reputable teams stay away from them. The short term lift is rarely worth the long term cleanup.
Q: Can black hat tactics still work in the short term?
Sometimes. That is part of the trap. But short term lift is not the same as durable performance. A tactic that gets you visibility and then gets you penalized is not a win. It is borrowed time.
The next major shift is agent commerce and AI powered checkout
One of the most important forward looking sections in the episode is Laura’s view on agent commerce. She thinks more change is coming, not less. She points to AI connected shopping experiences, agent based purchases, and platforms moving closer to assisted checkout behavior. That means discovery and transaction may collapse closer together. Users may not browse the way they used to. Systems may do more of the comparison and selection for them.
That changes what content has to do.
It is no longer enough to say “rank for this term.” You need content that can be understood, trusted, and surfaced in systems that may act on a user’s behalf. And once clicks become scarcer, the click you do win carries more value. That means user experience matters more, not less. Laura makes that point clearly. When a user lands, the site needs to do its job. The margin for wasting attention keeps shrinking.
Will AI replace SEO jobs?
Laura’s answer here is measured and useful. Early on, a lot of people assumed AI would flatten teams and automate away a big part of SEO. What she is seeing instead is more complexity, not less. AI can help with analysis, drafting, synthesis, and speed in certain tasks. It does not remove the need for judgment. It does not remove fact checking. It does not remove editing. It does not remove strategic tradeoffs. It adds cycles because someone still has to question the output and decide what matters.
That is the right takeaway for younger marketers too. The future is not “AI does SEO.” The future is “people who understand search, content, technical systems, and AI assisted workflows become more valuable.” Laura believes demand will stay high for people who understand the landscape well enough to make it make sense for a business. That sounds right.
The blunt truth: Search in 2026 is broader, noisier, and less forgiving.
GEO matters. AI search matters. Google AI Overviews matter. Agent commerce is coming. Schema matters more. Site migrations still wreck traffic when handled badly. Search Console is still underused. GA4 is still annoying. White hat still works. Black hat still burns people. All of that is true.
But underneath all the noise, Laura’s point is simple: SEO is still a long term discipline built on fundamentals, not hacks. The businesses that win are not the ones chasing tricks. They are the ones that stay technically clean, answer the right questions, build trust, distribute content intelligently, and treat search as part of the business, not a bolt on tactic.
That is the real lesson from this Wolf Talks episode. SEO did not die. It got less lazy.