Guide for planning and auditing SEO for AI tool, SaaS, and product-led websites. Powered by AnyCap -- the capability runtime that equips AI agents with web search and web crawl through a single CLI. Use when Codex needs to define SEO ICPs, map search intent to page types, inspect live SERPs, write p

AnyCap AI Tool SEO Read this entire file before starting. It covers the full SEO planning and audit workflow for AI tool websites. Plan and audit SEO for AI tool websites. Focus on product led SEO where each page should help a searcher complete a task, evaluate options, or enter the product with high intent. Map intent. Shape pages. Add evidence. Protect quality. Before You Start Read all three reference files before taking any action. They contain the working framework, page planning rules, and quality guardrails. 1. Read this file for the overview and process 2. Read the references in this order: [framework.md](references/framework.md) [page planning.md](references/page planning.md) [guardrails.md](references/guardrails.md) 3. Then begin the workflow below For detailed command syntax, flags, and output parsing, refer to the anycap cli skill. Prerequisites anycap CLI installed and authenticated ( anycap status to verify) A local workspace for notes, saved search results, and page briefs When to Use This Skill AI tool website SEO planning SaaS or product led SEO audits Search intent to page type mapping Page brief creation for tool, comparison, alternatives, pricing, and tutorial pages Technical SEO prioritization for new or growing tool websites Citation, directory, or backlink planning Programmatic SEO evaluation and rollout gating SEO Planning Process Work through the steps below in order. Skip only when you already have high confidence answers. 1. Understand the site and the searcher Crawl the homepage, pricing page, docs/help center, and one representative tool or feature page. Infer: the core job to be done primary user, buyer, and learner target geography and language primary conversion event Use the 6 field ICP template in [framework.md](references/framework.md). If the user only provides a URL, infer first and ask follow up questions only when the missing context would materially change the plan. 2. Inspect the live SERP before recommending content Do not decide the content format from the keyword alone. Use anycap search query "<keyword " no crawl max results 10 to classify dominant page types, recurring modules, and SERP mix. Treat search intent as a page shape constraint, not just a label. If the SERP is mixed, decide whether the keyword deserves one page with a dominant intent or multiple pages. Use [page planning.md](references/page planning.md) for page type mapping and module requirements. 3. Evaluate page viability through four lenses Review every page or keyword cluster through: Search Fit Product : Can the user complete the task on the page or move naturally into the product? Information Gain : What first hand evidence, screenshots, data, tests, workflows, or examples make this page stronger than the current SERP? Technical Readiness : Can search systems crawl, index, render, and understand the page? Trust Distribution : What internal links, external mentions, backlinks, directory placements, or trust blocks support the page? Use "Last Click" only as a user satisfaction heuristic. Do not present it as an official Google ranking factor. See [guardrails.md](references/guardrails.md). 4. Prioritize the plan Default prioritization: 1. money pages with clear transactional or commercial intent 2. comparison, alternatives, and pricing pages 3. tutorials that support discovery, trust, and internal linking 4. pSEO only after a small set of hard pages proves quality and indexation Separate: high confidence rules practitioner heuristics assumptions that still need validation 5. Deliver concrete outputs Default deliverables: ICP summary keyword cluster intent page type table priority page briefs technical baseline checklist citations / backlinks backlog pSEO go / no go decision with safeguards 30 / 60 / 90 day sequencing Human in the Loop This skill benefits from light user input up front, but should otherwise run autonomously. Ask for the site URL, target market, and conversion goal if they are not clear. If the user already gave a concrete site or keyword set, do not over clarify. Once direction is clear, continue through SERP inspection, planning, and prioritization without repeated interruptions. Core Principles Define the searcher before the keyword. A keyword only makes sense once you know who is searching, why, and what they need to finish. Inspect the live SERP before choosing a page type. Do not recommend a tutorial, comparison, or tool page until you know what the current SERP rewards. Treat page type as intent execution. A page is not just content; it is the shape through which the intent gets fulfilled. Require evidence, not generic prose. Information gain should come from screenshots, examples, data, workflows, benchmarks, or other concrete proof. Protect quality before scale. Do not recommend pSEO until high value sample pages have proven useful, indexable, and maintainable. Separate rules from heuristics. Be explicit about what is a hard constraint versus what is a useful but situational tactic. Quick Reference Save important search and crawl outputs locally when the task is large or when you expect to revisit evidence. Guardrails Do not promise rankings. Do not recommend doorway pages, spun pages, or low value mass AI pages. Do not copy a competitor layout blindly; infer the SERP expectation, then add original evidence. Treat numeric thresholds, directory filters, and DR/DA cutoffs as heuristics rather than fixed rules. Flag compliance risk when recommending paid placements, sponsored links, or directory submissions. When suggesting pSEO, require unique fields, update mechanisms, quality checks, and pruning rules. Resources [framework.md](references/framework.md) core model, support levels, and default prioritization [page planning.md](references/page planning.md) intent mapping, page modules, and page brief outputs [guardrails.md](references/guardrails.md) quality boundaries, safety checks, and pSEO gating

anycap-ai-tool-seo