Analyze competitor landing pages from URLs or screenshots to understand their audience, promises, and messaging. Receive a structured score, concrete strengths and weaknesses, and recommendations for differentiating your own positioning and calls to action.
Turn a long article into LinkedIn posts, Twitter/X threads, newsletter snippets, ad openings, and short video scripts. The skill adapts structure and length for each channel while keeping the original message and brand voice consistent.
Compare Google and Meta campaign results across mobile, desktop, and tablet. Identify device performance gaps, investigate whether ads, landing pages, or audiences explain them, and receive recommendations for bids, campaign splits, and page changes.
Create UTM links, which identify traffic sources, and GA4 event specifications for marketing campaigns. Standardize names across advertising and email channels, with platform-specific parameter templates, implementation notes, and recommendations for checking tracking before launch.
Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.
Design reusable SEO page templates from a niche and data source. Get title patterns, page sections, internal linking rules, structured data for search engines, and requirements that keep each page useful and distinct.
Analyze spending, revenue, and conversions across advertising channels to recommend budget shifts. Compare overall efficiency with the revenue gained from additional spending, identify saturation, and produce a gradual reallocation plan with monitoring priorities.
Track how AI assistants describe a brand by comparing repeated answers to a fixed set of questions. The skill flags factual errors and changes in tone, identifies likely sources, and drafts correction requests and updates to owned content.
Analyze cited URLs from AI answers to find where your business could earn mentions. Get ranked sources, citation frequency by source type, feasibility assessments, and draft outreach messages or content briefs.
Turn weekly Google and Meta advertising data into a plain English briefing. Compare results with the previous week and four-week average, identify urgent issues and successful campaigns, and receive specific priorities for the coming week.
Track Google and Meta ad spending against monthly budgets across accounts and campaigns. Project spending at month end, flag overuse or underuse, and calculate daily budget changes while accounting for weekday and weekend spending patterns.
Analyze Google Ads Quality Score, a keyword-level quality rating, across expected click-through rate, ad relevance, and landing page experience. Identify weak components and their causes, then prioritize fixes by potential click-cost savings and conversion impact.
Audit Facebook and Instagram advertising data for repeated-ad fatigue, overlapping audiences, campaign structure, and conversion tracking issues. Receive an account health summary, prioritized recommendations, and opportunities to increase budgets where performance supports expansion.
Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.
Compare Google and Meta campaign results across countries, states, cities, or postal codes. Identify weak and strong regions, then get recommendations for bid changes, separate campaigns, and budget redistribution based on meaningful performance differences.
Estimate how Google and Meta budget changes could affect acquisition costs, revenue efficiency, and conversion volume. Use historical account performance to compare spending levels, identify diminishing returns, and choose budgets with a clear rationale.
Analyze competitor ads from Meta Ad Library and Google Ads Transparency Center, organize their messages and formats, and compare them with your strategy to find unused angles and ideas for campaign tests.
Analyze Google Ads campaign history, conversion volume, and budgets to choose suitable bidding strategies for each campaign. Get recommended targets, reasons for each choice, and a transition plan covering timing and short-term risks.
Analyze a site and target keywords to identify technical SEO issues, page improvements, missing content, and backlink opportunities. Receive a prioritized action plan and a writing brief with an outline, questions, and suggested internal links.
Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.
Create consistent naming rules for Google and Meta campaigns, ad groups, ad sets, and ads. Get field definitions, allowed values, a team reference sheet, and mappings from existing names to support filtering and reporting.
Audit Google Ads exports or pasted campaign data to find wasted spend, missing negative keywords, account structure problems, and bidding issues. Receive a health score, specific fixes, and a prioritized action plan with confidence levels.
Review LinkedIn campaign exports or pasted metrics to identify weak click rates, audience targeting issues, form friction, and inefficient spending. Receive a structured audit with B2B benchmark comparisons and prioritized recommendations.
Find overlapping keywords and search queries across Google Ads campaigns and ad groups. Estimate how internal competition affects cost per click, identify which keywords receive traffic, and get recommendations for pauses, match type changes, and negative keywords.
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