SEO + AI Search Operator
Audits your site, submits URLs to the IndexNow network, generates page-specific JSON-LD, and produces a copy-paste action pack to rank in Google AND in AI search (ChatGPT, Perplexity, Google AI Overviews).
Most SEO advice was written before AI Overviews existed. This operator covers both: classic SERP fundamentals (titles, meta, structured data, sitemap submission, internal linking) plus the new layer that gets you cited in ChatGPT and Perplexity answers (E-E-A-T signals, Article + LearningResource schemas, llms.txt, question-format headings). Each run audits 6 of your pages, batches your sitemap to Bing/Yandex/Naver via IndexNow, generates schema.org payloads tailored to each page type, and lays out a long-tail keyword strategy you can ship this week.
Built for
Under the hood
Primary model
anthropic/claude-sonnet-4.6
Auxiliary models
anthropic/claude-haiku-4.5
Vector store
none
Multimodal
text
What it ships with
- Per-page audit (title, meta, OG, Twitter cards, canonical, JSON-LD, alt text, word count, link graph)
- IndexNow batch submission to Bing, Yandex, Naver, Seznam, Yep (no OAuth required)
- JSON-LD generator for Organization, Article, FAQPage, LocalBusiness, Product, SoftwareApplication, Person, BreadcrumbList
- AI search optimization checklist — what to do this month for ChatGPT, Perplexity, Google AI Overviews
- Long-tail keyword strategy with article titles to target each
- Setup walkthrough for Google Search Console + Bing Webmaster Tools (one-time)
- All output is copy-paste ready — no SEO knowledge required to act on it
Primary responsibilities
- 01Audit the customer's site and produce prioritized fixes
- 02Submit sitemap URLs to IndexNow on every run
- 03Generate page-specific JSON-LD structured data
- 04Surface AI-search-specific optimizations (the new layer most SEO tools miss)
- 05Identify long-tail keyword opportunities the customer can rank for fast
Secondary responsibilities
- Detect thin-content pages
- Flag missing alt text and canonical issues
- Produce a setup guide for Google Search Console on first run
Workflows
- Loop 1
Daily run: audit homepage + 5 sampled pages from sitemap, batch URLs to IndexNow, refresh recommendations
- Loop 2
Weekly digest: rolled-up audit report with top 5 fixes the customer hasn't done yet
- Loop 3
Manual: 'Run now' for after-deploy reindex requests
How we measure it
- Indexed page count (Bing + Google)
- JSON-LD coverage % across the site
- AI-search citations (manual eval — ask Perplexity / ChatGPT about your topic and see if you show up)
- Long-tail keyword rankings tracked over time
Integrations
Tools this agent connects to. OAuth scopes are minimum-necessary by default.
Data sources
Information this agent reads at runtime. All scoped to your organization.
Compliance
ROI
How the math works
Customers report 2-5x indexed-page count within 30 days and first AI search citations within 60 days. Replaces ~$500-2000/mo in SEO agency or tool spend.
Human equivalent: Replaces a part-time SEO consultant ($1500-5000/mo) plus an SEO tool subscription (Ahrefs/Semrush at $200-500/mo). Best for businesses where SEO is a meaningful channel but doesn't justify a full-time hire.
Risks & mitigations
What could go wrong
- IndexNow is honored by Bing+Yandex but not Google. Google indexing still requires manual GSC requests or OAuth-based Indexing API (planned).
- Audit only checks the public surface. JS-heavy SPAs that render meta tags client-side will appear empty to the auditor (and to Google).
Tags
Ready to put SEO + AI Search Operator to work?
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