Why JavaScript Trips Up Search Engines This is where the definition of a modern seo expert is shifting. It is no longer enough to make a site crawlable for classic search; the same site must be interpretable by large language models that extract and synthesise answers. Stanislav Peev, who has spent seventeen-plus years in search and published SEO research with a focus on GEO and AI visibility, treats entity clarity and structured data as first-tier priorities rather than hygiene afterthoughts - and increasingly so do the audits worth paying for. You can explore how this GEO-first approach reframes technical work at this overview of AI search readiness. Entity SEO as a prioritisation signal Entity SEO - making sure search engines and AI models understand who you are, what you do, and how your pages relate - has become a useful sorting mechanism. When an audit reveals that your organisation, products, and authors lack clear structured signals, that finding now ranks higher than it once would have, because it affects both traditional rich results and AI citation eligibility. A finding that improves entity clarity often earns its way up the list on impact alone. Common models include monthly retainers, fixed project fees for audits or migrations, and advisory or hourly rates. Focus less on the model and more on whether scope and deliverables are clearly defined. I usually organise the remediation plan into a few buckets. Crawl and indexation issues that block search engines from seeing pages come first, because nothing downstream matters if a page cannot be indexed. Then come rendering and performance issues that degrade how pages are understood and ranked. After that sit structured data and semantic issues that affect how machines interpret your content. Finally, hygiene items that improve consistency but rarely change rankings alone. How to Vet a Technical SEO Consultant Not every SEO practitioner can handle rendering issues.