# Three-Surface Search: free SEO and AI visibility skill Canonical URL: https://bloomiro.com/free/skills Markdown URL: https://bloomiro.com/free/skills.md Product updates: [Bloomiro Changelog](https://bloomiro.com/changelog.md) Download Three-Surface Search, a free skill for Claude, ChatGPT, and other AI agents. It turns real customer language into content for Google, LLM answers, and answer boxes, using only data you actually have. Works with or without Bloomiro. ## What it is Three-Surface Search is a free, portable skill file for AI agents. It turns real customer language into a content engine for three surfaces at once: classic Google search, LLM answers (ChatGPT, Claude, Gemini, Perplexity), and direct-answer boxes (featured snippets, People Also Ask, voice). No Bloomiro account is required. Users can provide product context, competitor URLs, review or forum exports, and Search Console CSVs. When Bloomiro is connected, the same workflow can use live language mining, measured search performance, AI presence, sitemap, competitors, and CMS delivery. Inside Bloomiro Actions the skill is already built in. ## Download - [Download the free skill ZIP](https://bloomiro.com/downloads/three-surface-search.zip) - Keep the file zipped when importing it into an agent that supports skill uploads. - The package contains a SKILL.md entrypoint plus stage reference files the agent should load selectively. ## What the skill helps with - Mine verbatim buyer complaints instead of inventing AI topic lists. - Build pillar and supporting clusters with internal links mapped before writing. - Write answer-first pages for humans and LLMs. - Run Search Console as a weekly feedback loop, and update near-page-1 pages before adding new posts. - Check the same high-intent queries across LLMs for mentions and citations (GEO / AEO). - Use Bloomiro data when connected, while remaining useful from exports without it. ## Install in Claude Open Settings or Customize, choose Skills, click the plus button, choose Upload a skill, and select the ZIP file. Open in Claude: https://claude.ai/new#customize/skills ## Install in ChatGPT Open Plugins, select the Skills tab, click the plus button, then choose Upload from your computer and select the ZIP file. Open in ChatGPT: https://chatgpt.com/skills ## Important limits The skill is reusable instruction, not model training or autonomous monitoring. It does not guarantee rankings or AI citations. Its output is strongest when the user supplies real customer language or connects Bloomiro for measured evidence. ## Links - Human-readable page: https://bloomiro.com/free/skills - Bloomiro MCP: https://bloomiro.com/mcp - Free site visibility check: https://bloomiro.com/tools/check-your-sites-visibility ## What's inside Three-Surface Search Read this before you download. The ZIP is a reusable instruction package for AI agents. It does not retrain a model, connect private data by itself, or promise rankings, traffic, citations, or AI recommendations. ### What you download The public download is Three-Surface Search, a portable skill folder with one SKILL.md entrypoint. Keep the ZIP zipped when you upload it. The package is free. No Bloomiro account is required to use it. A skill is reusable instruction, not autonomous monitoring, not model training, and not a live connection to your website. After you import it, you still start a task in Claude, ChatGPT, or another agent and give it your product, competitors, customer language, or Search Console export. - ZIP package: three-surface-search.zip, for Claude, ChatGPT, and other agents that support skill uploads. - Entrypoint: SKILL.md, with triggers, inputs, stages 1–10, output contract, failure handling, and examples. - The skill tells the agent to work only from data you actually have or can connect. It does not invent scrapers or tools that are not available. - No API keys, tracking scripts, customer data, or runtime code are included. ### What the skill does Three-Surface Search turns real customer language into a self-reinforcing content engine. The same buyer questions are treated as three extraction surfaces: classic Google search, LLM answers (ChatGPT, Claude, Gemini, Perplexity), and direct-answer boxes (featured snippets, People Also Ask, voice). - Start from real buyer wording you already have: tickets, call notes, pasted reviews, surveys. - Turn problem clusters into search opportunities and the right asset type per intent. - Build pillar plus supporting clusters with internal links mapped before writing. - Write answer-first pages humans and LLMs can extract from. - Wire a publish loop an automation agent can run, with Search Console as the weekly feedback stage. - Prefer updating near-page-1 pages before adding new posts, then check GEO/AEO citations on the same queries. ### How it works with Bloomiro Inside Bloomiro Actions, Three-Surface Search is already installed for every project. Users do not upload, view, or delete it. When the agent uses it, you see a tool-style progress line such as Reading Three-Surface Search skill. The agent calls read_skill, which returns a catalog first, then loads only the section ids it needs (usually overview plus one or two stages). It combines those instructions with Bloomiro evidence tools: Search Console, AI presence, sitemap, competitors, and CMS when connected. - Ask in chat: use Three-Surface Search, use the skill, or describe an organic content / GEO / cluster workflow. - Bloomiro supplies measured data and write paths. The skill supplies the research → cluster → write → measure → update loop. - The agent must not invent scrapers or language miners. It uses connectors and exports that actually exist for the project. ### How it works without Bloomiro Outside Bloomiro, the same stages run with exports and manual checks. You provide product and ICP context, competitor URLs, real customer language you already have, a Search Console export or CSV, and CMS or repo access if you want publishing help. - No connected GSC: paste query reports so stage 6 can still propose page actions. - No CMS API: the agent can still produce cluster maps, briefs, and drafts for you to paste or PR. - GEO/AEO checks: run the same high-intent queries in ChatGPT, Claude, Gemini, and Perplexity and log mentions and citations by hand. - The workflow still refuses to invent topic clusters from AI topic lists alone. Real customer language comes first. ### Selective loading In Bloomiro Actions, the agent loads only the stages the current task needs so it does not dump the entire playbook into context. Outside Bloomiro, tell your agent which stages matter for the request. - Overview / what you need: decide which stages apply and confirm available data. - One stage: for a narrow ask (for example only Search Console feedback). - Two or three stages: for a bounded plan (for example language + clusters + writing). - Full loop: only when you asked for the complete organic channel workflow. ### Privacy and limits The download contains no private customer data. Evidence you paste into a chat stays subject to that agent's policies. Project data used through Bloomiro stays inside the authorized account. This skill does not guarantee rankings, citations, or traffic. Native skill imports, file context, web access, MCP connections, and write permissions still depend on each agent host, plan, workspace, and administrator settings. ### Example tasks to try after install Give the agent a real product description and real customer language you already have. - Build a content cluster from these support tickets and competitor review excerpts. - We publish AI blogs with no traffic. Diagnose and reset the workflow. - Use this Search Console export to choose which existing pages to update before writing anything new. - For our top integration query, check ChatGPT, Claude, Gemini, and Perplexity and tell me what our page is missing to be citable. - Draft a pillar brief with internal links mapped before any writing starts. ## Frequently asked questions ### What is Three-Surface Search? It is a free, portable skill for AI agents. It turns real customer language into a content engine aimed at three surfaces at once: Google search, LLM answers, and direct-answer boxes. It covers language gathering, clusters, writing, publishing automation, Search Console feedback, and GEO/AEO checks. ### Do I need a Bloomiro account to use the free skill? No. You can run the workflow from customer language you already have, Search Console CSVs, and manual LLM checks. Bloomiro is optional and adds measured search and AI presence data, plus in-app Actions where the skill is already built in. ### What files are inside the ZIP? The package contains a three-surface-search folder with SKILL.md. Keep the ZIP zipped when you upload it. The agent should follow only the stages the task needs. ### Does the skill guarantee Google rankings or AI citations? No. It does not guarantee rankings, mentions, citations, traffic, or conversion uplift. It is a disciplined loop: research, publish, measure, update. Results depend on competition, execution, and time. ### How do I install the skill in Claude or ChatGPT? Download the ZIP, then upload it as a skill. In Claude, open Settings or Customize, choose Skills, click +, then Upload a skill and select the ZIP file. You can also open claude.ai/new#customize/skills. In ChatGPT, open Plugins, select the Skills tab, click +, then choose Upload from your computer and select the ZIP file. You can also open chatgpt.com/skills. Keep the file zipped. ### Is this the same skill built into Bloomiro Actions? Yes. Inside Bloomiro Actions, Three-Surface Search is a native skill for every user. It cannot be deleted or browsed as a user-managed skill file. When the agent uses it, you see it in the activity trail like a tool read, and you can ask for it by name.