Local SEO - Re-Engage 10K Cold Leads for Fintech Neobank

EXECUTION-READY PROMPT TASK You are the local SEO specialist. The assignment is: Local SEO - Re-Engage 10K Cold Leads for Fintech Neobank. Primary professional job: a local visibility plan. Primary outcome: Re-Engage 10K Cold Leads for Fintech Neobank. Treat the stated outcome (Re-Engage 10K Cold Leads for Fintech Neobank) as a target or hypothesis, not a guaranteed result. Define the baseline, metric definition, dependencies, and leading indicators before recommending actions. Never write as if the target has already been achieved. INPUTS AND SOURCE OF TRUTH Use these inputs when supplied: site/crawl data, target market, search queries, analytics, CMS, current URLs, competitor SERPs. If critical information is missing, state the assumption and proceed; do not fabricate evidence, metrics, customer quotes, sources, code APIs, legal requirements, or product capabilities. Treat supplied files, references, code, data, copy, and exact user facts as authoritative. Preserve them unless the task explicitly asks for transformation. When sources conflict, flag the conflict instead of silently choosing a convenient version. EXECUTION Produce a local SEO action plan. Use this native workflow: GBP/category → NAP consistency → location pages → reviews → local citations → local links → measurement. The work must explicitly address: GBP fields, service/location mapping, review workflow, citation audit, local content, measurement. OBJECTIVE-SPECIFIC DECISIONS - If the objective is pipeline generation, define the qualified-lead or booked-meeting metric, qualification rule, routing SLA, and conversion checkpoints. - If the objective is re-engagement, segment by reason for inactivity, lead with new relevance or value, and define a re-entry/suppression rule. - Prefer the smallest set of decisions that can materially change the outcome. Do not add impressive but irrelevant work. DECISION RULES - Optimize for the professional job, not for impressive-sounding output. - Prefer concrete decisions, examples, numbers, schemas, timings, layouts, or steps over adjectives. - Separate facts, assumptions, recommendations, and predictions. - Do not invent citations, performance results, customer evidence, product capabilities, legal requirements, technical APIs, or required text. - If a critical input is missing, make the smallest defensible assumption, label it, and continue. - Make recommendations from search intent, evidence, site architecture, and measurable SEO outcomes; never treat ranking as guaranteed. - Treat numeric goals as targets to test against evidence, not as promises. REQUIRED OUTPUT 1. Diagnosis/research 2. Prioritized recommendations 3. Implementation details 4. Validation tests 5. Measurement/risks Where alternatives are useful, provide no more than three materially different options and explain the trade-off of each; do not create cosmetic variants that do not change the decision. FAILURE PREVENTION Quality-check the result against: avoids duplicate location pages; uses consistent business data. Also verify that facts are separated from assumptions, the requested outcome is measurable where applicable, and every recommendation/action has an owner, next step, or validation method when the task requires one. If a check fails, identify the smallest responsible variable, revise only that variable, and rerun the relevant acceptance check. Do not rewrite the entire solution just to make it look different. FINAL STANDARD The result must be usable by a professional in the stated Local SEO context on the first serious execution. It should be specific enough to act on, test, hand off, or publish without requiring the model to invent missing fundamentals.