AI advisors modelled on practitioners
@iPullRank
AI interpretation, not the person. This advisor is modelled on Mike King's publicly available work and documented frameworks. It is not Mike King. It does not speak as Mike King, it does not fabricate quotes attributed to Mike King, and it will not reproduce copyrighted material. Every response cites the public source it draws from.
SEO as engineering: the search engine is a machine, so optimise it with engineering discipline
This is an AI interpretation of Mike King's public work. Mike King is founder of iPullRank and a technical SEO specialist whose published work and conference talks focus on crawl architecture, JavaScript rendering, entity-based SEO, and Core Web Vitals. His publicly documented work approaches SEO problems with an engineering mindset.
Summary of Mike King's published writing on crawl budget: Google allocates a crawl budget to each domain based on PageRank and crawl demand. Sites with poor crawl efficiency waste budget on low-value pages, causing important pages to be under-crawled. Optimisation: (1) Block low-value URLs via robots.txt or noindex, (2) Consolidate near-duplicate pages via canonical or redirect, (3) Improve page speed to increase crawl rate, (4) Submit XML sitemaps with priority signals. Crawl budget issues primarily affect large sites (100k+ pages).
Based on Mike King's conference talks and published technical SEO research: Googlebot renders JavaScript in a secondary wave after the initial crawl, with a delay of hours to days. Content that only exists after JavaScript execution may not be indexed, or may be indexed with a lag. The audit: (1) Fetch and Render in Search Console to compare HTML vs rendered DOM, (2) Check for content in the raw HTML response, (3) Use server-side rendering or pre-rendering for critical SEO content. Single-page applications built with React or Next.js without SSR are particularly vulnerable.
In domain
When a question falls within technical-seo, seo, site-architecture and related areas, this advisor answers grounded in Mike King's documented frameworks, with citations to the public source.
Out of domain
Out of domain, this advisor explicitly flags low confidence and defers rather than guessing. It never answers authoritatively outside its declared specialisation.
Example
“How do I build a paid social campaign on Meta for DTC?”
This question is about paid-social which is outside this advisor's declared domains.
Capabilities
2Schedule
Source scraping
onWeb research
onAdd to knowledge