SEO Workflows¶
Production-ready SEO commands that transform hours of manual work into minutes of strategic insight.
/geo-brand-accuracy-score-pre¶
Score how accurately AI platforms (ChatGPT, Perplexity, Claude, Google AI Overviews, Meta) represent a brand when they mention it. Evaluates brand-present LLM responses from Scrunch AI tracking against an authoritative Brand Canon using a 4-trait 0-8 rubric (factual correctness, canon alignment, attribution, hallucinations), flags negative-accuracy responses, and exports CSV/JSON/HTML reports. Use when measuring brand accuracy in AI responses, auditing how LLMs describe a brand, scoring Scrunch responses, building a Brand Accuracy Score, investigating AI misattribution or hallucinations about a client, or reporting GEO accuracy. Triggers: 'brand accuracy score', 'scrunch', 'how accurate is AI about', 'LLM brand accuracy', 'AI says wrong things about', 'brand hallucination audit'. NOT for unbranded visibility tracking (use Signals LLM tracking views directly). Migrated from the NinjaCat 'Scrunch Brand Accuracy Score' agent.
/geo-brand-canon-pre¶
Researches and compiles an authoritative Brand Canon from official sources, then derives a tiered Claim Inventory of falsifiable statements used to score how accurately LLMs/AI engines describe the brand (GEO / generative engine optimization). Use when building or updating a brand canon, documenting a client's official brand identity, messaging, products, or leadership, extracting brand guidelines or a press kit, preparing inputs for AI brand-visibility tracking (Scrunch, Profound), auditing how LLMs describe a brand, or generating a claim inventory. Triggers: 'brand canon', 'claim inventory', 'GEO', 'generative engine optimization', 'brand documentation', 'how AI describes our brand', 'LLM brand accuracy', 'brand guidelines extraction'.
/geo-prompt-coverage-gap-pre¶
Identify gaps between what a client pays for in paid search and what their GEO prompt set actually tracks — in both directions: high-spend n-grams with no prompt coverage, and tracked prompts with no search-term or spend support. Produces a bidirectional gap report with two CSVs and a prioritized add/drop recommendation list, all carrying the inherited Data Pull Receipt. Trigger phrases: "where are we not tracking prompts for what people search", "compare paid search terms to our GEO prompts", "prompt coverage gap for [client]", "which tracked prompts have no spend behind them", "n-gram gap analysis for prompts". PREVIEW (-pre): piloting before official seo release.
/seo-content-audit¶
Data-driven optimization for existing pages through on-page edits, metadata updates, and internal linking. Use when running a content audit, optimizing existing pages for organic performance, or creating audit deliverables.
/seo-content-gap¶
Identify content opportunities competitors are capitalizing on that client is missing. Three-layer data-grounded methodology — Guru SOP first, BigQuery SERP Snapshots, model selection rules. Use when identifying net-new content opportunities, running content gap analysis, or building content roadmaps.
/seo-content-outline¶
Strategic blueprint for NET NEW pages with competitive differentiation. Use when creating new content pages, building topic clusters, or planning new product/service pages.
/seo-core-update-impact-pre¶
Quantify Google core update impact across the entire Seer client book from Signals weekly rankings: page-bucket transition matrix (P1/P2/P3+/NR), headline movement metrics (fell off Page 1, climbed onto Page 1, net), and per-client breakdown, comparing the last full Sunday capture before the update announcement against post-update captures. Use when a Google core update is announced or rolling out and someone asks how clients were affected, for a core update impact analysis, algorithm update winners and losers, ranking movement across clients, or a BD-ready aggregate ('our clients moved up on average X'). Triggers: 'core update impact', 'algorithm update analysis', 'who got hit by the update', 'ranking movement after the update', 'page one movement'. Hardened from Wil's QA'd May 2026 POC (three-way exact-match receipts + live golden-dataset re-verification). PREVIEW (-pre): piloting before official seo release.
/seo-internal-linking¶
Internal link analysis for SEO performance, crawlability, and user journey optimization. Use when analyzing internal link structure, orphan pages, link equity distribution, anchor text patterns, funnel linking, crawl depth, or underlinked high-value URLs.
/seo-methods¶
SEO-specific methodologies, best practices, and techniques for Seer Interactive SEO work. Use when analyzing organic search performance, creating SEO strategies, applying Seer SEO methods, writing metadata, generating schema markup, classifying competitors, tagging keywords, analyzing YouTube content, assessing LLM visibility, QA-ing search intent, interpreting Screaming Frog exports, building strategy workbooks, or creating monthly insight reports.
/seo-quick-wins¶
Identify 30-day traffic opportunities through striking distance keywords and low-effort optimizations. Use when planning quarterly optimization, finding quick impact opportunities, or prioritizing post-audit work.
/seo-search-landscape¶
Comprehensive 12-question SERP analysis with data visualizations for strategic planning and competitive positioning. Use when conducting quarterly strategic reviews, new client onboarding, or competitive positioning analysis.
/seo-serp-trends-base¶
Shared foundation for SERP Trends analysis agents. Provides setup protocol, standardized output schema, anomaly flagging, and brand segmentation logic used by all SERP Trends workflows (quick wins, content opportunities, competitors overview, SERP features, brand protection). Use when running any SERP Trends analysis, setting up a client analysis session, handling brand segmentation, or producing standardized analytical output.
/seo-systematic-investigation¶
Use when encountering any marketing performance issue, traffic anomaly, or unexpected metric change before proposing explanations
/seo-traffic-decline-analysis¶
Deterministic investigation of organic traffic declines using a four-phase root cause methodology with required checks for business-impact, phased-decline framing, bidirectional Twyman's Law verification (suspicious losses AND suspicious gains), rolling-window trend analysis, AI Overview cross-reference, standing-instruction auto-execution, justified recommendation reasoning chains, and KPI framework recommendations. Use when diagnosing traffic drops, investigating ranking losses, analyzing organic performance issues, or framing structural search shifts (e.g., AI Overviews) for client conversations. Every required check runs every time; missing data fails loudly rather than being silently skipped.
/tseo-methods¶
Technical SEO methodology for ad-hoc analysis, Screaming Frog exports, and issue write-ups. Use when analyzing crawl data, diagnosing indexation issues, reviewing Screaming Frog exports, writing TSEO findings, or evaluating site architecture. Covers priority assignment, evidence hierarchy, Tenth Man review, export identification, schema gap analysis, and TSEO writing standards. Use for questions about crawl waste, indexation gaps, duplicate content, hreflang, internal linking, Core Web Vitals, structured data, canonical logic, and Screaming Frog menu paths. Escalate to the TSEO Assistant Project for formal shortlists, report cards, or long-form audit deliverables.
Skills¶
- seo-methods — SEO-specific methodologies, best practices, and techniques for Seer Interactive SEO work. Use when analyzing organic search performance, creating SEO strategies, applying Seer SEO methods, writing metadata, generating schema markup, classifying competitors, tagging keywords, analyzing YouTube content, assessing LLM visibility, QA-ing search intent, interpreting Screaming Frog exports, building strategy workbooks, or creating monthly insight reports.
- tseo-methods — Technical SEO methodology for ad-hoc analysis, Screaming Frog exports, and issue write-ups. Use when analyzing crawl data, diagnosing indexation issues, reviewing Screaming Frog exports, writing TSEO findings, or evaluating site architecture. Covers priority assignment, evidence hierarchy, Tenth Man review, export identification, schema gap analysis, and TSEO writing standards. Use for questions about crawl waste, indexation gaps, duplicate content, hreflang, internal linking, Core Web Vitals, structured data, canonical logic, and Screaming Frog menu paths. Escalate to the TSEO Assistant Project for formal shortlists, report cards, or long-form audit deliverables.
Last generated: 2026-09-28 from 15 skills