SEO in 2026: What Actually Matters Now
Search has changed more in the last two years than in the previous ten. The fundamentals have not disappeared, but the order of priorities has shifted. This is how our SEO team is weighting the work in 2026.
Practical writing on SEO, media buying, analytics and the role of AI in marketing, from the people doing the work.
Search has changed more in the last two years than in the previous ten. The fundamentals have not disappeared, but the order of priorities has shifted. This is how our SEO team is weighting the work in 2026.
How native advertising works in 2026, where it fits in a performance media plan, and how experienced buyers structure campaigns, pre-landers, testing and placement optimisation.
A practical technical SEO checklist covering crawling, rendering, indexation, architecture, performance, structured data and international setup, with the checks our team runs on every audit.
Automation has changed what media buyers do. The job is now less about manual bidding and more about signals, creative, measurement and budget allocation. Here is how we approach it.
AI-generated answers, conversational search and AI assistants are changing how people find information. A measured look at what has changed, what has not, and how to adapt.
CPA and CAC sound similar and are often used interchangeably. They measure different things, and confusing them leads to budgets that look efficient in ad platforms and lose money on the balance sheet.
Position one sounds like the goal of SEO, but rankings are an incomplete and often misleading measure. These are the metrics that tell you whether organic search is working.
A high click-through rate feels like success, but optimising toward it can attract the wrong audience, raise costs downstream and hide failing campaigns. When CTR helps, and when it misleads.
Search intent determines which pages can rank for a query. A step-by-step method for classifying intent, reading the results page and matching content to what searchers need.
Network averages hide enormous variation between publishers and placements. The framework experienced buyers use to judge inventory quality, from traffic signals to downstream customer value.
The technical SEO issues we find most often in audits, why they are easy to miss, and how to fix them. From faceted navigation to silent noindex tags.
Raising spend multiplies whatever your landing page does, good or bad. The tests worth running first, how to prioritise them, and how to read the results.
A practical view of where AI genuinely improves marketing work, from analysis and monitoring to drafting and testing, and where experienced people still make better decisions.
Privacy regulation, browser changes and consent requirements have reduced the data available to advertisers. First-party data is how performance marketing adapts, if it is collected and used responsibly.
Attribution models assign credit for conversions across marketing touchpoints. Each model has blind spots. How last-click, multi-touch and data-driven attribution work, and how to make budget decisions despite their limits.