Search Engine Optimization (SEO)
GLOSSARY
Definition
SEO is the practice of improving a website's visibility in organic (non-paid) search results. It covers technical factors (site speed, crawlability, structured data), content quality (relevance, depth, freshness), and authority signals (backlinks, brand mentions, domain reputation).
Why it matters
SEO has survived every prediction of its death. The latest threat is AI-generated search answers, Google's AI Overviews and Perplexity-style engines that summarize answers without sending clicks. Early data suggests informational queries are losing traffic while transactional and navigational queries hold up. The practical response is the same as it's always been: create content that answers real questions better than anyone else, and make sure the technical foundation doesn't get in the way.
How it works
Search engines crawl pages, index the content, and rank results against a query. SEO is the practice of making your site easier to crawl, more relevant to index, and more likely to earn a click. The three pillars are technical (can the crawler read the page), on-page (does the page answer the query), and off-page (do other sites vouch for it). The craft sits where those three overlap.
Practical uses
Most SEO programs start with keyword targeting, content production, and link building, then mature into technical auditing and measurement. The useful metrics are impressions, average position, and CTR per query, which Google Search Console provides free. The discipline is close to product management: pick queries with demand, build pages that answer them, and iterate based on what the data shows. Brands that treat it as a content-volume game usually lose to teams that treat it as a measurement game.
How to choose
There is no SEO purchase that substitutes for judgement. Tools split into rank trackers, site auditors, keyword research suites, and AI-powered assistants. A pragmatic stack is Search Console for data, one audit tool for technical checks, and a keyword tool for demand estimates. The expensive enterprise suites consolidate all three but cost a hundred times more than the free tier that covers most needs. Budget for the audit and the analysis, not the dashboard.
Common mistakes
Optimizing for bots instead of readers is the classic failure. Robots can index a keyword-stuffed page, but humans bounce, and engagement signals eventually drag the ranking anyway. The second mistake is chasing position for its own sake instead of clicks; a page at position 3 with no clicks is worth less than one at position 15 that converts. The third is ignoring AI search, where the unit of success is being cited, not being clicked.
What changed with AI
AI changed what wins. Overviews answer queries directly, so a visible citation matters more than a top-10 link. Community signals, structured data, and citability now feed the engines that summarize answers. The practical move is to write pages that AI engines can quote cleanly: clear definitions, standalone facts, and schema markup. Link building still matters, but being the reference answer matters more.