49 skills (repositories by irinabuht12-oss) · sorted by popularity
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 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.
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.
Analyze how often people see Meta ads and where repeated exposure starts reducing performance. Get campaign-specific frequency cap recommendations, estimated spending savings, and projections of additional reach from redirecting spending toward people who have not seen the ads.
Review Google and Meta campaign structures against goals, budgets, and conversion data. Identify excessive segmentation, overlapping targeting, and fragmented budgets, then get consolidation recommendations, an explained account structure, and a migration plan.
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.
Analyze how long visitors take to convert and use those patterns to refine Meta retargeting, advertising to previous visitors. Provides recommended audience windows, confidence levels, spending breakdowns, estimated savings, and bid adjustments based on time since the visit.
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.
Compare how different attribution models, or ways of assigning conversion credit, change campaign results across Google and Meta. The skill highlights shifts in credited conversions and return on ad spend, then suggests budget adjustments based on the comparison.
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.
Review a landing page from a URL or screenshot to assess headlines, action buttons, trust signals, and mobile usability. Get specific copy suggestions and a prioritized plan for addressing barriers to signups or purchases.
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.
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.
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.
Build a question set to check whether AI assistants mention your brand. Analyze the answers you collect, compare visibility against competitors, trace cited sources, and receive a prioritized list of opportunities to address gaps.
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.
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.
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.
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.
Build detailed B2B customer profiles from product and market information. Map buyer roles, daily problems, purchase concerns, and buying triggers, then develop messaging angles and channel ideas with an explicit confidence assessment.