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Found 54 Skills
Optimize a listing for Amazon's AI shopping assistants (Rufus on the web, Alexa+ on devices, and the COSMO ranking layer behind them). Rewrites bullets as question answers, completes the Attributes section, models voice query anatomy, and reinforces with review-language. Use when a user asks about Rufus, Alexa+, AI shopping, AI-driven search, COSMO, conversational shopping, question-style queries, voice shopping, voice search, smart speaker discovery, or conversational query optimization. Trigger phrases. "Rufus", "Alexa+", "AI shopping", "AI search", "COSMO", "conversational query", "question answering", "voice shopping", "Alexa search", "voice query", "smart speaker", "conversational shopping". Works with zero tools.
Improve visibility in AI search and answer engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) using GEO: crawl controls (robots/WAF/llms.txt), answer-ready content and entity pages, citation strategy, and measurement (query bank, share of model).
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for AI-powered search visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI search platforms. Use when working with aeo, geo, ai search, chatgpt search, perplexity, ai overviews, generative search, llm visibility.
Optimize product visibility in Amazon search results. Analyze current search ranking factors, identify optimization gaps, and provide actionable improvements for Amazon's A9/COSMO algorithm.
Use to get a brand and its content CITED and RECOMMENDED by AI answer engines — the GEO (Generative Engine Optimization) / AI-search-visibility skill. Run when the user says "GEO," "get cited by ChatGPT/Perplexity/Google AI," "ChatGPT SEO," "LLM SEO / LLMO," "AI Overviews," "answer engine optimization (AEO)," "will AI recommend my brand," or wants to show up in AI-generated answers, not just the feed or Google links. Reads brand-profile and audience first. AI engines retrieve + fan-out and cite community/social sources heavily (Reddit, YouTube, Wikipedia); platforms disagree; earned media beats product pages; extractable, fresh content drives citation. Covers the four GEO levers (retrievable, earned mentions, extractable content, entity clarity), authentic social plays, and the manual prompt-audit method. Refuses astroturfing; never fabricates "share of voice." Sibling of social-seo (platform + Google search). Judges via the audit + GEO tools + AI referral traffic.
Official Google Search guidance for optimizing websites for generative AI features such as AI Overviews and AI Mode. Use when an AI agent needs to explain, audit, plan, or implement SEO work for Google AI Search visibility; evaluate AEO/GEO claims; advise on llms.txt, structured data, content quality, crawlability, JavaScript SEO, media SEO, ecommerce/local details, Merchant Center, Business Profile, or agent-friendly site readiness.
Advisory-only guidance for showing up credibly on Reddit so your brand is accurately represented in the source layer AI engines cite most. Use when someone asks to "do Reddit marketing," "post on Reddit," "which subreddits should we be in," "get cited on Reddit," "respond to a subreddit thread," "why does AI cite Reddit about us," "fix what Reddit says about our brand," or "my Reddit post got removed / account got banned." WoopSocial does NOT support Reddit — this skill drafts; the human posts as themselves. Never automates, never uses alts or vote manipulation. Pairs with ai-search-optimization.
The list/roundup content type — design honestly-curated, scannable, AI-citable listicles ("7 ways to X", "best tools for Y") and expert / product / link roundups. Use when someone wants a listicle, a "best of" or "top N" list, a ranked recommendation list, an expert roundup, a product/affiliate roundup, or a curated resource list. Ranked "best-of" lists are among the most-cited formats in AI search. Uses the RANKS framework. Reads brand-profile + audience-research first. The agent designs the list and frames the cuts; for roundups it drafts the contributor ask; the human secures real contributor quotes/consent and verifies product facts; WoopSocial publishes the cuts. Feeds the format writers and ai-search-optimization + social-seo. NEVER fabricates items, quotes, or rankings, or pads to a number; discloses affiliate/own-product. Distinct from carousel-writer/thread-writer, educational-content-and-how-to, data-and-original-research, and competitor-analysis.
Use to make social content discoverable through SEARCH across social platforms — the social-SEO / keyword-discovery skill. Run when the user says "social SEO," "get found in search," "TikTok SEO," "YouTube SEO," "keywords for social," "searchable captions," or wants search across platforms rather than just the feed. For single-platform depth, route "Instagram SEO" to instagram-seo and Pinterest asks to pinterest-seo; this skill owns the cross-platform framework. Reads brand-profile and audience first. All platforms are search engines; keywords, not hashtags, are the lever. Covers per-platform indexed surfaces, keyword research via autocomplete + native analytics (never fabricates volumes), the triple-mention technique, topical clusters, and the profile as a search asset. Routes hashtags to hashtag-strategy; hands the AI-search/LLM-citation (GEO) layer to ai-search-optimization. Measures via native search insights, not WoopSocial analytics.
The original-research / data-study content type — turn proprietary data, a survey, a public-dataset analysis, or an experiment into the most linkable and AI-citable asset you can publish. Use when someone wants to build authority with original data, run a "state of X" survey or industry study, turn proprietary/customer data into a publishable stat, or get cited by journalists and AI search (GEO). Uses the PROVE framework. Reads brand-profile + audience-research first. The agent designs the study (question, method, analysis plan) and frames the findings (headline stat, report, social cuts); the human/tool gathers the real data; WoopSocial publishes the finished cuts. Feeds ai-search-optimization + social-seo, the format writers, and infographic-and-data-viz. NEVER fabricates data, stats, or methodology; discloses method + limits. Distinct from educational-content-and-how-to (existing knowledge), analytics-and-reporting (internal performance), competitor-analysis, and trend-jacking.
Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.
Build and maintain negative keyword lists from search term reports to cut wasted ad spend in paid search - n-gram query mining to surface irrelevant search terms, the right negative match types and exclusion levels (account, shared list, campaign, ad group), and a review cadence that avoids overblocking queries that convert. Use whenever the user mentions a search term or search query report, irrelevant clicks, junk traffic, wasted ad spend, or wants to exclude or block keywords - even if they never say 'negative keywords'. Covers B2B lead gen and B2C/e-commerce; needs the account's query data. Do NOT use for account-wide underperformance with no query-level evidence - use mbfinotti/advertising-skills@ad-account-diagnostic instead.