SEO AI Search

SEO + AI search visibility

Research-backed playbook (compiled September 2026 from primary sources: Google/Bing docs, Vercel/Cloudflare crawler data, Pew/Ahrefs/Semrush studies). Facts marked VOLATILE age within months — web-search them before relying on them; unmarked principles are stable.

The one rule that covers everything

Everything you want indexed, ranked, or cited must be in the initial server-rendered HTML. Googlebot renders JavaScript (late, in a second pass); no major AI crawler executes JavaScript at all (GPTBot, ClaudeBot, PerplexityBot, CCBot fetch but never render — Vercel/MERJ data; VOLATILE per-bot, stable as a rule). Client-side-rendered content is invisible to the systems the client wants to win. SSG/ISR > SSR > CSR; CSR only behind login.

Pick the workflow

• Building or relaunching a site → do "Implement" below, then read references/technical.md and references/structured-data.md for the details of each step.
• Auditing an existing site ("why don't we rank / why doesn't AI mention us") → run node scripts/audit.mjs https://the-site first (automates layers 1–2: robots/sitemap health, raw-HTML completeness, per-bot access), then follow the 8-step order in references/audit-checklist.md. Never audit from lab data alone; use field data and raw-HTML checks.
• Keyword/content strategy → the no-paid-tools method and honesty tiers in references/keywords-content.md. Never promise rankings on head terms owned by aggregators; tier targets and say which are winnable.
• A local/physical business (shop, clinic, restaurant, gym) → profiles beat websites; read references/local.md FIRST. The map pack and AI business cards are fed by business profiles + reviews, not by web pages.
• AI-answer visibility program (get recommended by ChatGPT/Perplexity/Gemini) → references/ai-search.md: what feeds each assistant, the crawler/robots recipe, IndexNow, measurement.
• The client wants OUT (or paid) — limit AI reuse, block or monetize crawlers → the "other direction" section of references/ai-search.md: snippet controls, Bing NOCACHE/NOARCHIVE, Cloudflare default-blocking, bot verification.
• Migrating a domain or URL structure → the migration checklist in references/audit-checklist.md before anything moves.

Implement (new site checklist — the stable core)

1. Rendering: critical content, metadata, and JSON-LD in initial HTML (curl the page and grep for them — this one check covers Google freshness AND every AI crawler). Real 404 status codes from the server (SPA "not found" UIs with HTTP 200 become soft-404s).
2. Metadata: unique title (≤60 chars, primary keyword + brand) and description (≤155) per page; absolute canonical on every page (set the metadata base URL); OpenGraph/Twitter with absolute image URLs (broken share cards = lost WhatsApp/Slack distribution). Make titles/descriptions editable by the client (CMS-driven with code fallbacks) — SEO iteration must not need deploys.
3. Structured data: JSON-LD only; emit only types Google currently rewards — the supported list changes often (VOLATILE: re-fetch https://developers.google.com/search/docs/appearance/structured-data/search-gallery at use time; FAQ and HowTo rich results are dead, seven more types died June 2025). Always: Organization (with sameAs links — this grounds the brand entity for knowledge panels and LLMs) + BreadcrumbList. Per-archetype recipes: references/structured-data.md. Never mark up content that isn't visible on the page.
4. Crawl surface: sitemap.xml with real lastmod for every canonical URL; robots.txt allowing all legitimate crawlers including AI crawlers explicitly (roster in ai-search.md) and blocking low-value faceted/parameter URLs (robots block, not noindex — noindex still spends crawl budget; and never combine disallow with noindex — a blocked page can't show its noindex; mechanics in technical.md); paginated fallbacks for infinite scroll; noindex thin/placeholder pages.
5. Performance: field-data Core Web Vitals — LCP ≤ 2.5 s, INP ≤ 200 ms, CLS ≤ 0.1 at p75 (thresholds stable since Mar 2024). Ship less hydration JS, don't lazy-load the LCP image, break long main-thread tasks. CWV is a tiebreaker, not a dominant signal — don't oversell it.
6. Indexing pipelines: Google Search Console (verify, submit sitemap) AND Bing Webmaster Tools + IndexNow — Bing's index is the retrieval layer behind ChatGPT search and Copilot; a page Bing hasn't indexed cannot be cited there. Automate an IndexNow ping post-deploy (key file + POST sitemap URLs to api.indexnow.org).
7. Content shape for AI citation (evidence: Princeton GEO study — statistics, quotations, citations lift generative visibility 30–40%): self-contained factual passages with numbers and dates, question-shaped headings, tables, definition-first sentences. Third-party coverage of the brand beats brand-owned pages in AI citation weighting — earned media is part of the technical plan, not separate marketing.
8. Bilingual/multilingual: separate URLs per language with full bidirectional hreflang clusters (each page lists all variants including itself + x-default) when both languages must rank; a single mixed-language page ranks for its primary language only (acceptable when the second language is decorative). Subfolders > ccTLDs > subdomains by default.

Honesty rules (apply to every engagement)

• Tier every keyword target: T1 winnable weeks–months (brand + local/low-competition), T2 winnable 6–18 months (content + links), T3 not winnable organically (aggregator-owned head terms) → the answer there is presence ON the ranking aggregators ("barnacle SEO") + paid search, and say so plainly.
• Quote timelines as ranges tied to actions, never guarantees. Rankings are not promisable; the work is.
• Never fabricate review counts, invent business facts for schema, buy link packages, or spin scaled thin content — Google's scaled-content-abuse and site-reputation-abuse policies are actively enforced (details in keywords-content.md).
• Every CTR/adoption statistic in these references carries a date; re-verify any number older than ~6 months before quoting it to a client.

Measure

Google Search Console (+ its generative-AI performance report — impressions in AI surfaces; VOLATILE, metrics expanding), Bing Webmaster Tools AI Performance report (citations + the reformulated "grounding queries"), referral segments for chatgpt.com/perplexity.ai/copilot, server logs for AI-crawler hits, and a quarterly manual prompt-sampling audit (20–40 buyer prompts × 3 runs per assistant, scored for brand mention/position/sources). Full measurement stack and free tooling: references/ai-search.md and references/audit-checklist.md.