Keyword research used to mean finding short, high-volume phrases people typed into a search box. In 2026, a growing share of queries are conversational — full questions typed or spoken into an AI assistant, often with far more specificity than a traditional keyword. "Best running shoes" and "what running shoes are best for flat feet under $100" reflect the same intent but require very different content: the first suits a broad comparison page, the second demands a direct, specific answer.

Good keyword research now means mapping both types of queries to the right content format — landing pages for high-intent transactional searches, blog posts or FAQs for informational and conversational ones. The underlying skill, understanding what a searcher actually wants at each stage of intent, hasn't changed; what's changed is the range of phrasing you need to plan for and the formats needed to satisfy each type.

On-page and technical SEO is the unglamorous infrastructure work that makes everything else in this module possible. A page can have perfect keyword targeting and great writing, but if the title tag is missing, the header hierarchy is a mess, or the page takes eight seconds to load, both search engines and readers will struggle to make sense of it — or simply leave.

The good news is that most of this is a checklist, not a creative exercise: clear title tags and meta descriptions, a logical heading structure (one H1, organized H2s and H3s beneath it), fast load times, and clean internal linking so both crawlers and users can navigate your site. Structured data and schema markup add an extra layer, giving search engines explicit signals about what a page contains rather than making them infer it. This lesson is about building the habit of running that checklist on every page before considering it "done."

AI answer engines don't rank pages the way traditional search does — they extract and synthesize an answer from one or more sources, often without a click-through. That changes what "winning" looks like: instead of just earning a top-ten ranking, you're competing to be the source an AI system chooses to quote or summarize. Content that's dense, meandering, or buried under marketing fluff is much harder for an AI system (or a human skimmer) to extract a clean answer from.

The fix isn't to abandon narrative writing — it's to front-load extractable value. Put a clear, direct answer to the core question near the top of the page, in plain language, before the supporting detail and nuance. Use headers that match how people actually phrase questions, and structure lists and definitions so they can be lifted cleanly. Done well, this makes content easier for both AI systems to cite and for human readers to scan.

For any business with a physical location or a defined service area, local SEO is often the highest-leverage SEO work available — a well-optimized Google Business Profile and a base of genuine local reviews can outperform months of general content work. The mechanics are straightforward: accurate business information, consistent citations across directories, and active review management.

E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is the broader trust framework search engines and AI systems increasingly use to judge which sources deserve visibility, local or otherwise. In practice, this means showing your work: author bios with real credentials, first-hand experience woven into content rather than generic advice, and external signals (reviews, citations, mentions) that corroborate what a page claims about itself. Building E-E-A-T isn't a one-time task — it's a habit of adding credibility signals every time you publish.

SEO and content marketing get you found when someone searches; digital PR gets other people to talk about you, which is a different kind of visibility with a different kind of payoff. A well-placed mention in an industry publication, a guest post on a site your audience already trusts, or coverage of a genuinely newsworthy campaign does two things at once: it sends real visitors your way, and it earns the kind of backlink that Lesson 3.4's E-E-A-T signals reward — a link editors chose to give you, not one you bought or built yourself.

The mechanics are less about press releases and more about pitching something a journalist or site owner would actually want to publish: original data, a genuinely useful resource, a timely reaction to news in your industry, or an expert opinion on a story already in motion. Digital PR shares DNA with content marketing (Module 4) — it's the same instinct for creating something worth sharing — but the distribution mechanism is different: instead of publishing on your own channels, you're pitching someone else's audience directly.