SEO in the AI-overview era
The fundamental discipline of SEO hasn't changed. The mechanics of how search engines surface results, how AI overviews compete with traditional listings, and what counts as "authority" — all those have shifted.The three SEO pillars (still)
- Technical — the site is crawlable, indexable, fast, structured
- Content — the pages answer real questions thoroughly
- Authority / off-page — other reputable sites link to and reference yours
Technical SEO that still matters
- Core Web Vitals — LCP, INP, CLS
- Mobile-first indexing — Google indexes the mobile version
- Structured data — schema.org markup for products, articles, FAQs, recipes
- XML sitemap — current, including only canonical URLs
- robots.txt — clean, with sitemap reference
- Canonical URLs — every URL canonicalised
- hreflang for multi-language sites
- HTTPS everywhere
Content that ranks in the AI-overview era
- Direct answers to specific questions — featured snippet optimisation more important than ever
- "Answer paragraphs" that work as standalone snippets
- Original research, surveys, primary data — what AI summaries cite
- E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
- Topical depth — pages that comprehensively cover a topic
- Updated content — freshness signals from substantive updates
The win in 2026 is being the source the AI overview cites.
Keywords are still real (but framing changed)
- Search intent classification — informational, navigational, transactional, commercial-investigation
- Long-tail content for high-intent / low-volume; pillar content for high-volume / broad
- Question-based queries — voice search and conversational AI drive these
- Topic clusters: pillar page + supporting articles + internal linking
Authority and links
- Editorial links from genuinely relevant, reputable sites
- Brand mentions (without links) — increasingly weighted
- Local citations for local businesses
- Disavow obviously toxic links; ignore the long tail (Google ignores them itself)
The technical / content interplay
- Site structure — categories / tags / hierarchical URLs
- Internal linking — every important page reachable from home in <3 clicks
- Anchor text variety — descriptive natural anchors
- URL structure — readable, stable, no parameter fests
Local SEO
- Google Business Profile (GBP) optimisation
- NAP (name, address, phone) consistency
- Local citations on quality directories
- Reviews on GBP and category-specific sites
E-commerce-specific SEO
- Product schema with real review aggregates
- Faceted navigation with proper canonicals
- Out-of-stock products handled correctly
- Category pages with substantial content
- Site search optimised
The "AI is killing SEO" question
The answer in 2026: AI changed the traffic landscape, but high-quality content + strong technical site + authority still drives meaningful traffic. Sites that were thin or low-authority lost more than substantive sites. The bar is higher.The new frontier: Generative Engine Optimisation (GEO) — being the source AI overviews cite.
Measurement
- Google Search Console — first-party data, the truth
- Branded vs non-branded search traffic
- Conversion attribution to organic
One pattern we'd warn about
"AI-generated content at scale". Mass production ranks briefly, gets devalued, damages authority.One pattern that always pays off
Content auditing. Quarterly pruning / consolidating / updating.What's working in your stack?
