2 Curated Workflows Prompts

Workflows Prompts

Production recipes and workflows categorized under #workflows.

The SEO Guy
@theseoguy_

AEO / GEO

✦ClaudeAEO / GEO

AEO: find the sources LLMs cite

Workflow: have Claude write 10 query variants, run them in ChatGPT, then find the common cited sources.

Original X post
go to claude tell it "i need 10 completely different prompts to help me find a personal injury lawyer in naperville. make me a list of different ways to ask LLMs to give me a good recommendation" prompt chatgpt 10 different times with those 10 different prompts take screenshots of all of the sources go back to claude upload all the images and ask it to find any similarities between the sources those sources now become the places you need profiles on to get ranked in AI have fun gentlemen
·22.8k uses·View original
ericosiu
@ericosiu

Revenue ops

✦ClaudeRevenue ops

Revenue command center workflow prompts

A set of Claude Code dynamic-workflow prompts for finding and acting on revenue opportunities.

Original X post
1. Revenue Command Center Use a workflow. Build a revenue command center for [company]. Inspect every available data source I provide: CRM exports, call transcripts, email threads, analytics, proposals, client reports, SEO data, ad data, and internal docs. Create a unified map of where revenue is being created, delayed, leaked, or ignored. Then run specialist subagents in parallel for pipeline, retention, upsells, SEO, paid acquisition, outbound, partnerships, and operational bottlenecks. Return a ranked list of the top 25 revenue opportunities with estimated upside, confidence, owner, next action, required assets, and a 7-day execution plan. Then implement any safe automations, dashboards, scripts, or draft assets needed to start capturing the top opportunities immediately. 2. Stalled Revenue Recovery Use a workflow. Analyze all deals, proposals, old sales calls, CRM notes, and email history from the last 180 days. Find every stalled, forgotten, under-followed, or mishandled revenue opportunity. Score each by recoverable revenue, buying intent, relationship warmth, reason stalled, and recommended next move. Draft personalized follow-up messages for every high-value opportunity, grouped by angle: urgency, new insight, case study, strategic check-in, offer refresh, or executive nudge. Produce a ready-to-send table and a daily follow-up sequence. 3. Client Expansion Engine Use a workflow. Analyze all current clients, contracts, reports, performance data, meeting notes, and communications. Identify where each client could logically buy more from us. For every account, infer pain points, current gaps, missed opportunities, proof points, budget signals, and likely objections. Rank expansion opportunities by expected value and probability. Draft the upsell strategy, pitch email, meeting agenda, and one-page value case for each top account. 4. Churn Prevention + Save Plan Use a workflow. Review client health signals across notes, emails, reports, delivery status, performance trends, sentiment, missed deadlines, response lag, and stakeholder engagement. Score churn risk for every client. For each at-risk account, diagnose the root cause, recommend the save motion, draft the executive check-in, create the recovery plan, and identify what proof or delivery fix is needed to retain the account. 5. SEO / AI Search Revenue Gap Use a workflow. Analyze our site, competitors, keyword data, AI search visibility, Google rankings, content library, service pages, and conversion paths. Identify high-intent revenue opportunities where we are under-ranking, under-mentioned, or missing from AI answers. Prioritize by buyer intent, revenue potential, ranking feasibility, and strategic value. Create the content plan, page briefs, internal link plan, schema recommendations, and draft the top 5 assets. 6. Offer Rebuild Workflow Use a workflow. Audit this offer: [offer/page/deck]. Compare it against competitors, customer pain, objections, proof, pricing psychology, guarantees, funnel flow, and conversion friction. Rebuild the offer into a sharper productized version with positioning, promise, mechanism, pricing tiers, proof stack, guarantee, objections, landing page copy, sales script, onboarding flow, and fulfillment SOP. Give me 3 variants: safest, aggressive, and premium. 7. Sales Call Intelligence Workflow Use a workflow. Analyze every sales call transcript I provide. Extract buyer pains, objections, competitor mentions, pricing concerns, buying triggers, weak rep moments, missed discovery questions, and close opportunities. Create a revised sales script, objection handling guide, follow-up templates, rep coaching notes, and a list of prospects worth re-engaging based on buying signals. 8. Paid Acquisition Profit Audit Use a workflow. Analyze ad exports, landing pages, funnel data, conversion tracking, creative, search terms, audiences, and offer alignment. Identify wasted spend, tracking breaks, low-converting pages, budget misallocations, and campaigns worth scaling. Return exact cuts, reallocations, experiments, landing page fixes, and projected impact. 9. Founder Content-to-Revenue Engine Use a workflow. Analyze my best posts, podcasts, YouTube videos, newsletters, offers, audience comments, and sales data. Identify which ideas actually map to revenue. Build a content engine that turns those ideas into LinkedIn posts, X posts, newsletters, short-form hooks, YouTube outlines, lead magnets, and sales CTAs. Prioritize topics by buyer intent, authority building, and offer relevance. 10. Automation ROI Hunter Use a workflow. Inspect the repo, docs, recurring workflows, SOPs, spreadsheets, and manual processes I provide. Find bottlenecks that slow revenue, reporting, sales, client delivery, or content production. Rank automation ideas by ROI, implementation effort, risk, and time saved. Then implement the highest-ROI safe automation with tests, docs, and rollback notes. Meta-prompt to use when you want the monster version: Use a workflow with unlimited-token depth. Do not optimize for brevity. First build the full context map. Then spawn specialist subagents for every major revenue surface. Then synthesize findings into a ranked opportunity model. Then execute safe implementation work in parallel. Then verify outputs. Then return: expected revenue impact, exact next actions, drafts/assets created, automations implemented, files changed, proof, and remaining risks.
·29.9k uses·View original