Playbooks for every marketing strategy
Track ChatGPT visibility for primary search intents
Run a daily ChatGPT visibility check for high-value prompts, benchmark the brand against competitors, and present the results in an interactive report.
Generate a 30-day content calendar from trend signals
Use weekly Reddit conversations and search signals to find timely content ideas, then organize the strongest ones in a date-driven planning table.


Draft up to three search-led articles per week
Draft up to three weekly SEO articles from Google Search Console signals so the team can publish search-led pieces with real demand and clear brand fit.

Generate ad variation ideas for underperforming campaigns
Review weekly weak Google Ads and Meta campaigns, then turn the strongest gaps into a prioritized bank of fresh ad ideas to test next.

Monitor Reddit and LinkedIn brand mentions daily
Track daily Reddit and LinkedIn brand mentions in a shared tracker so the team can quickly spot the conversations that deserve a response.


Find 20 prospect emails for daily outbound
Build a daily outbound prospect table with checked work emails, LinkedIn context, and clear fit notes for faster outreach.

Draft three email campaigns each Sunday
Draft a weekly batch of distinct email campaigns that are ready for review and scheduling.
Build an influencer database with contact emails
Build a weekly YouTube and Instagram creator shortlist with fit notes and the best available route to reach each influencer.


Detect Meta ad creative fatigue before CPA rises
Review weekly Meta ad performance for early signs of creative fatigue, then flag which campaigns need refreshing before results deteriorate further.
Optimize lead capture forms
Improve lead capture forms by reducing avoidable friction while preserving the fields needed to qualify, route, and follow up with leads.
Monitor priority marketing pages for speed regressions
Retest priority campaign, pricing, form, and offer pages after launches or tag and media changes, then report regressions before they damage conversion work.

Audit cart and checkout friction
Reproduce the shopper path from product page to checkout and turn cart, shipping, payment, policy, and trust blockers into a prioritized fix table.
Diagnose a weak or fast-growing SKU
Explain SKU performance changes by separating demand, traffic, conversion, stock, margin, merchandising, and product-page causes into a prioritized action plan.
Rewrite collection page copy from real products
Refresh collection page copy, metadata, FAQs, and shopper guidance using real assortment evidence, search intent, and merchandising priorities.
Audit price and promo mismatches
Find inconsistent prices, discounts, promo promises, exclusions, and offer details across ads, feeds, PDPs, carts, and campaign pages before shoppers lose trust.
Build account briefs from Gmail threads
Compile Gmail history for priority accounts into concise account briefs covering stakeholders, commitments, open questions, risks, and next-step drafts.

Audit Google AI Mode answers for product accuracy
Check how Google AI Mode answers product, pricing, policy, and comparison questions, then flag inaccurate or unsupported claims with a correction plan.
Build a TikTok-native creator shortlist
Discover and rank TikTok creators from public profile, post, and recent content evidence so a campaign team can approve platform-native outreach targets.