Technical SEO Analyst

David Brauksworth

“Measure what is measurable, and make measurable what is not so.”
— Galileo Galilei

David Brauksworth approaches SEO from the infrastructure level up. His background in web performance engineering means he was optimising load times, server response rates, and rendering pipelines long before Core Web Vitals became a confirmed ranking factor. At KatvTech he runs all experiments measuring the relationship between technical site health and search visibility outcomes.

How David approaches technical SEO research

Most technical SEO advice exists in one of two forms. The first is theoretical: here is what Google says matters and here is why it should affect rankings. The second is anecdotal: here is what happened on one site after one change. David is interested in a third form, controlled measurement over defined periods with documented conditions and explicitly stated limitations.

His background in web performance engineering gave him both the technical foundation to implement precise changes and the professional habit of measuring outcomes before declaring success. In performance engineering, a deployment that improves load time on one device type while degrading it on another is not a success. The same precision applies to his SEO experiments. A technical change that improves Core Web Vitals scores without producing a measurable ranking change within a defined window is documented as such, not reframed as a long-term investment with unmeasurable benefits.

 


What David focuses on at KatvTech

David leads all experiments in the technical SEO dimension of KatvTech’s research programme. His specific areas of focus are:

  • Core Web Vitals as ranking factors. Measuring whether and how quickly improvements to LCP, INP, and CLS produce observable ranking changes, and under what conditions the relationship is strongest.
  • Composite CWV scoring impact. Following the March 2026 update that introduced aggregated scoring, David is running experiments to determine how the composite model changes the relative importance of each individual metric.
  • Indexing speed and crawlability. What hosting configurations, sitemap structures, internal linking patterns, and technical implementations affect how quickly new content on new domains gets discovered and indexed.
  • Theme and plugin performance impact. Measuring the ranking implications of specific WordPress theme and plugin choices, particularly for sites using heavy page builders that consistently produce poor INP scores on mobile.

 


David on technical SEO in 2026

The technical SEO conversation in 2026 has a tendency to conflate two different things: technical health as a prerequisite for ranking, and technical improvements as a mechanism for gaining ranking. These are not the same claim and they do not have the same evidence behind them.

A site with fundamental technical problems, broken crawlability, failed Core Web Vitals, no sitemap, blocked resources, will struggle to rank regardless of content quality. Fixing those problems removes a barrier. It does not guarantee a ranking gain. The question David finds more interesting is the marginal one: on a site that is already technically functional, how much does a measurable improvement in a specific technical metric move rankings, on what type of content, over what time period, under what competitive conditions?

That question does not have a clean universal answer. David is building the dataset that makes a more specific answer possible.

 


Experiments led by David Brauksworth

David authors all experiments in the technical performance dimension of KatvTech’s Ranking Experiments category. Each article follows KatvTech’s standard five-part methodology and includes the specific technical conditions, hosting environment, and measurement tools used in each test.

Technical suggestions and experiment proposals can be submitted through the contact page. David prioritises proposals that include a specific measurable hypothesis and a practical implementation context.

See Posts from David

What Is Glue Google System? The Universal Search Layer

Classic web results are only one piece of what a Google search results page actually shows, images, videos, local packs, and other verticals all appear alongside the ten blue links, each requiring its own ranking logic. What is Glue Google system, in short: it is the…

How to Write an SEO Case Study People Actually Trust

The industry is full of SEO case studies claiming a single tweak tripled traffic overnight, and most of them share a common flaw: no control group, no measurement window discipline, and no acknowledgment of confounding factors. A genuinely credible seo case study…

Data Nosnippet: Controlling What Google Quotes

Most technical SEO tools control whether a page gets indexed at all. Data nosnippet does something narrower and, for the right situation, more useful: it lets you keep a page fully indexed and ranking while blocking specific chunks of text from ever being quoted back…

HCU Recovery Signs: What Genuine Progress Looks Like

A site hit by the helpful content system, now folded into Google’s broader quality reassessments rather than run as a fully separate classifier, often shows a confusing mix of small ups and downs during recovery, which makes distinguishing real progress from noise…

Keyword Cannibalization: How to Spot It in Search Console

Keyword cannibalization happens when two or more pages on your own site compete for the same search query and the same search intent, so Google keeps switching between them instead of consistently ranking one strong page. The clearest place to spot it is your own…

The Google Leak: A Complete Guide to What It Revealed

In May 2024, over 2,500 pages of internal Google API documentation, detailing more than 14,000 potential ranking attributes, became public. The google leak remains the single largest, most detailed unofficial look at Google’s ranking infrastructure ever released, and…

Twiddlers Google Ranking Explained: The Re-Rankers

Most SEO discussion treats Google’s ranking process as one algorithm producing one ordered list. The leaked API documentation revealed something closer to a pipeline: an initial ranking, followed by a whole layer of adjustment functions applied just before results are…

How Algorithm Updates Changed Gaming Content Rankings

Gaming content rankings changed sharply between 2022 and 2024, as Google’s helpful content updates and the March 2024 core update shifted visibility away from generic, aggregated content and toward pages showing genuine first-hand experience. Gaming sites built on…

Sports Content AI Overviews: Why Predictions Don’t Get Cited

The sports content AI Overviews tend to cite is factual rather than predictive. Questions with stable, checkable answers, such as records, rules, standings, and how a scoring system works, are the queries where AI-generated answers most often appear and where sports…

Navboost Engagement Signals: Why Some Dog Content Ranks and Some Doesn’t

Navboost engagement signals are the user interaction data, mainly clicks on search results, that Google’s Navboost system uses to refine rankings for specific queries. Navboost was described publicly during the US Department of Justice antitrust trial against Google…