SEO Experiments That Prove Everyone Wrong - Google Leaks, AI Myths & Ranking Signals (Mark Williams-Cook)

E961: I sit down with Mark Williams-Cook to break down what actually drives rankings today and what most of the industry gets wrong.

We talk about real SEO experiments, insights from Google leaks and exploit data, how large language models affect search, and why brand signals, links, and user behavior matter more than most tactical checklists.

Mark shares lessons from more than two decades in SEO, including agency work, affiliate sites, SaaS tools, and running ongoing experiments to test assumptions that are often repeated without evidence.

This conversation covers both practical strategy and deeper search engine behavior, including how Google evaluates site quality, how ranking layers work, and why many commonly recommended tasks deliver little impact.

Topics covered: - The difference between fast SEO tactics and long-term brand-driven SEO - Why link acquisition still moves rankings and how digital PR creates compounding authority - The concept of site quality score and how branded searches influence eligibility for SERP features - What Google exploit data revealed about ranking stages, query classification, and post-ranking adjustments - Why many SEO activities waste time, including excessive focus on meta descriptions and low-impact technical tasks - The role of user signals and how engagement data influences long-term visibility - AI content realities, including when generative AI helps and when it damages trust and performance - Programmatic SEO - what works, what fails, and how originality affects sustainability - Practical digital PR examples that generated large authority gains and traffic growth - How to approach SEO experiments without falling into confirmation bias - The relationship between backlinks, brand awareness, and search performance in the AI search era - Niche selection, competitive SERPs, and where opportunities still exist today - How Mark uses AI operationally for migrations, content workflows, and reactive PR monitoring - People Also Ask data and how it can be used to map search intent and improve topical coverage

We also discuss SEO misconceptions around schema, LLM optimization, click-through rate manipulation, indexing behavior, and how Google's language differs from how SEOs interpret ranking factors.

If you care about building durable search visibility rather than chasing short-lived tactics, this episode provides a grounded look at how search actually behaves in practice.

And if you enjoyed this, consider subscribing and sharing it with someone working in SEO or growth.

⭐️ Mark Williams-Cook on LinkedIn https://www.linkedin.com/in/markseo/ ⭐️ Mark Williams-Cook's agency - https://withcandour.co.uk/ ⭐️ AlsoAsked - https://alsoasked.com

💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/

00:00 Mark Williams-Cook's SEO Origin Story 04:16 Why Mark Runs SEO Experiments 08:21 LLMs, Common Crawl & LLMs.txt 12:32 Meta Descriptions, Enterprise SEO & What Moves the Needle 15:55 Links, PageRank & the Google Exploit 21:03 Site Quality Score Explained 24:22 Link Building That Scales 28:24 First 90/180 Days SEO Plan 37:29 Underrated SEO Signals 46:40 Programmatic SEO Done Right 51:39 How Mark Uses AI in SEO 57:04 AI Content, Accuracy & the 'AI Ick' 01:03:16 Picking Easy vs Hard Niches 01:11:29 Inside the Google Exploit 01:21:34 UX Signals & Core Web Vitals 01:24:57 More Crazy SEO Experiments 01:32:43 AlsoAsked Demo 01:39:00 Wrap-Up

The Edward Show. The #1 search engine optimization podcast: https://edwardsturm.com/the-edward-show/

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