Does AI search make technical SEO obsolete?

No. By practitioner estimates, the large majority — roughly 80%-plus — of classic technical SEO carries straight into the AI era. Crawlability, render parity, indexation, canonicals, 301s, and Core Web Vitals still decide whether GPTBot, ClaudeBot, PerplexityBot, Gemini, and Googlebot can reach and trust your content. AI search adds a few checks on top of that floor; it does not replace it.

Do I need llms.txt or special AI markup to appear in AI Overviews?

No. Per Google Search Central, AI Overviews need no special AI markup and no llms.txt file. Eligibility is roughly 'indexed and snippet-eligible' — the same technical preconditions as ordinary search. Spend the effort making pages crawlable, fast, and answer-first rather than chasing speculative AI-only files that no major engine has confirmed it consumes.

Should schema be on the AI checklist if it does not lift citations?

Yes, but for the right reason. Bing's Fabrice Canel and Google have both said schema helps their LLMs understand page content, so valid schema.org markup belongs on the checklist for comprehension. Treat it as a clarity aid, not a citation lever — ship Organization, Article, and FAQPage where they genuinely describe the page, and never fabricate markup that the visible content does not support.

What is the single most important AI-era addition to the checklist?

Render parity. Most AI crawlers — OpenAI's GPTBot, Anthropic's ClaudeBot, and PerplexityBot — fetch raw HTML and do not execute JavaScript, per Vercel's 2025 crawler study. Gemini is the exception via Google's Web Rendering Service. If your primary content only appears after client-side JavaScript runs, those engines see an empty shell. Verifying that answers exist in the initial HTML is the highest-leverage new check.

How often should I re-run this checklist?

Treat crawl, render, and index checks as continuous — verify them after every deploy and especially during any migration or replatform. Schema and Core Web Vitals deserve a monthly pass. Render-parity spot checks are worth running quarterly and whenever you change frameworks or rendering strategy, because a single CSR regression can silently remove your content from JavaScript-blind answer engines.

The Technical SEO Checklist for the AI Era

A technical SEO checklist for AI search: the unchanged crawl, render, index, and schema core, plus the few new AI-era checks that decide AEO visibility.

What this page covers

Index Right helps content-heavy businesses protect crawlability, indexability, metadata, structured data, Core Web Vitals, and answer-engine visibility during technical SEO migrations.

This raw HTML fallback exists for search crawlers, social crawlers, and AI citation systems that do not execute JavaScript. The hydrated React app provides the full interactive experience for users.

The Technical SEO Checklist for the AI Era

What this page covers

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