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Lead Quality and Follow-Up Audit

ROLE: Act as a small-business lead analyst. Separate poor-fit inquiries from problems in response speed or follow-up. Treat patterns as evidence to investigate, not proof of cause. INPUTS: - Business, services and ideal customer: {business and customer fit criteria} - Reporting period, currency and definition of a qualified lead: {period and definitions} - Anonymized inquiries with lead ID, date, source, requested service, fit, first-response delay, follow-up attempts, outcome and booked revenue if known: {lead records} - Capacity limits, sales cycle and known tracking gaps: {constraints} PROCESS: 1. Check definitions, duplicates, missing fields and whether recent leads have had enough time to convert. Ask up to five essential questions if the data cannot support a comparison. 2. Group mature leads by source. Report inquiries, qualified leads, bookings and known booked revenue. Show qualified/inquiry and booked/qualified rates with their numerators and denominators. Mark unavailable figures unknown; do not count pending leads as lost. 3. Compare response delays and follow-up coverage within similar services and sources. Flag small samples and possible differences in customer fit. 4. Identify three plausible bottlenecks. Cite lead IDs and distinguish observations from hypotheses. 5. Propose one low-risk follow-up experiment, with an owner, measurement window, outcome metric and guardrail. Do not recommend increasing spend from lead volume alone. OUTPUT FORMAT: Data Checks; Source Scorecard; Response and Follow-Up Gaps; Three Hypotheses; Next Experiment. QUALITY CHECKS: Use only supplied records. Do not invent attribution, revenue or benchmarks. Keep booked revenue separate from collected revenue and profit. Recalculate totals and rates; show the formulas. Exclude personal contact details. Make no causal claims from correlations.

Tip: fill in the {brackets}

Swap every highlighted bit for your real details before you paste. The more specific you are, the less generic the answer.

What it does

Compares lead fit, bookings and follow-up coverage by source, then separates observed gaps from hypotheses worth testing.

When to use it

Use when inquiries are arriving but bookings are disappointing, and you have anonymized lead records with outcomes.

FAQ

Does this prove which source brings the best leads?

No. It compares the records you supply and flags small samples, incomplete outcomes and tracking gaps.

Should I paste customer contact details?

No. Replace names, emails and phone numbers with anonymous lead IDs.

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Offer Teardown and Rebuild

ROLE: You are a direct-response offer strategist who has rebuilt offers for hundreds of local service businesses. You are blunt, specific and allergic to fluff. INPUTS (fill in every blank you can; leave a blank empty rather than guess): - Business: {business} (e.g., Advanced Air Conditioning + Heating, an HVAC company in Cedar Park, TX) - The offer, copied word for word from my site, ad or flyer: {current offer} - Price and terms: {price and terms} - Who buys it: {ideal customer} - What customers usually object to: {objections} - Proof I actually have (reviews count, years in business, licenses, guarantees): {proof} PROCESS: 1. Teardown. Score the current offer 1 to 5 on each: clarity (can a stranger repeat it?), specificity (numbers, deliverables), risk reversal, urgency, proof, and differentiation from a generic competitor. One sentence of why for each score. 2. Diagnose. Name the single biggest reason a ready-to-buy customer still says no. 3. Rebuild three versions, each with a different lever: A. The Clarity Rebuild: same deliverables, rewritten so it is impossible to misunderstand. B. The Risk-Reversal Rebuild: adds or sharpens a guarantee or promise, using only terms I gave you. C. The Bundle or Tier Rebuild: restructures what is included or how it is packaged. For each: a headline (under 12 words), a 2 to 3 sentence offer statement, a bullet list of what's included, and the call to action. 4. Recommend which version to test first and what to measure. OUTPUT FORMAT: Headings exactly: Scorecard (a table), Biggest Problem, Rebuild A, Rebuild B, Rebuild C, Test This First. QUALITY CHECKS (run before answering): - Use only facts, prices, guarantees and numbers I supplied. If a rebuild needs a fact I did not give, write a plain note like (add your price) instead of inventing it. - No phrases like "unlock," "elevate," "seamless" or "game-changer." - Every headline must make sense to someone who has never heard of my business.

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Review Themes to Marketing Angles

ROLE: You are a customer research analyst who turns review piles into marketing angles. You summarize patterns; you never quote customers. INPUTS: - Business: {business} (e.g., La Dosis Coffee + Cocktails, a coffee shop and cocktail bar in Cedar Park, TX) - What we sell and who we sell to: {offer and audience} - My reviews, pasted below (Google, Yelp, Facebook; 15 or more works best): {paste your reviews} PROCESS: 1. Read every review. Group what people praise and complain about into 4 to 7 themes. Name each theme in plain words. 2. For each theme give: how many reviews mention it (approximate count), whether it's praise, complaint or mixed, and a one-line paraphrased summary. Do not copy any review word for word, and do not include reviewer names. 3. Spot the gap: which strengths do customers mention that my marketing (as I described it) never says? 4. Turn the top 3 praise themes into marketing angles. For each: an angle name, a headline, a one-sentence explanation of who it speaks to, and two places to use it (for example Google Business Profile post, menu board, homepage hero). 5. Turn the top complaint theme into an operations fix, not a marketing spin. OUTPUT FORMAT: Headings: Theme Table, What Your Marketing Is Missing, Three Marketing Angles, Fix Before You Advertise. QUALITY CHECKS: - Zero verbatim quotes, zero names. Paraphrase only. - Counts must come from the pasted reviews. If I pasted fewer than 10, say the themes are a weak signal. - Do not claim anything about the business that isn't in the reviews or my inputs.

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Local SEO Audit: Profile vs. Website vs. 3 Competitors

ROLE: You are a senior local SEO consultant running a fast, honest audit. You care about what moves map-pack rankings and calls, not vanity metrics. INPUTS (paste what you can see; the AI can't log in to anything): - Business: {business} (e.g., Whitestone Plumbing, a plumber in Cedar Park, TX) - Main service and city I want to rank for: {service + city} - My Google Business Profile details: primary category, secondary categories, review count and rating, hours, services listed, photos count, last post date, description: {GBP details} - My website: homepage title tag, H1, list of service pages, location or service-area pages, NAP (name, address, phone) as shown in the footer: {website details} - 3 competitors that show in the map pack for my search, with the same GBP and website details: {competitor 1}, {competitor 2}, {competitor 3} PROCESS: 1. Build a side-by-side comparison table: me vs. each competitor on primary category, review count, rating, services listed, dedicated service pages, city pages, and NAP consistency. 2. Check alignment between my GBP and my website: does the primary category match my homepage focus? Do the GBP services each have a page? Does the NAP match exactly? 3. Identify where competitors beat me and where I already win. 4. Produce a ranked fix list, ordered by likely impact on local rankings and calls divided by effort. For each fix: what to do, why it matters, effort (low, medium, high), and where (GBP or website). OUTPUT FORMAT: Headings: Comparison Table, Profile vs. Website Mismatches, Where You Win, Where You Lose, Ranked Fix List (numbered, top 10 max). QUALITY CHECKS: - Base every finding on the details I pasted. If a field is missing, write (not provided) in the table and don't assume. - Don't promise rankings or timelines. - No "build backlinks" filler without a specific, local way to do it.

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