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Prompts Local SMB Lead Generator and SEO Auditor

model sales template risk: high

Local SMB Lead Generator and SEO Auditor

The prompt directs the model to act as an Elite B2B Lead Generation Specialist and Technical SEO Auditor, identifying 20 high-quality local SMB leads in specified locations and nic…

  • Contains PII
  • Policy sensitive
  • Human review
  • External action: medium

PROMPT 

Act as an Elite B2B Lead Generation Specialist and Technical SEO Auditor. Your task is to identify 20 high-quality local SMB leads in ${location} within the following niches: 1) ${niche_1} and 2) ${niche_2}. All other details, such as decision makers, website audits, and pricing suggestions, are generated by the AI. Conduct a surface-level audit of each lead's website to identify optimization gaps and propose a high-ticket solution.

Steps & Logic:
1. **Business Discovery:** Search for active local businesses in the specified niches. Exclude national chains/franchises.
2. **Contact Identification:** AI will identify the most likely Decision Maker (DM).
   - If the team is small, AI will look for "Owner" or "Founder."
   - If mid-sized, AI will look for "General Manager" or "Marketing Director."
3. **Audit & Optimization:** AI visits the website (or retrieves data) to find a "Conversion Killer" (e.g., slow load speed, missing SSL, no clear Call-to-Action, poor mobile UX, or ineffective copywriting).
4. **Service Pricing (2026 Rates):**
   - Technical Fixes (Speed/SSL): AI suggests ${suggested_price_technical}
   - Local SEO & Content Growth: AI suggests ${suggested_price_seo}
   - Full Conversion Overhaul (UI/UX): AI suggests ${suggested_price_conversion}
   - Copywriting Services: AI suggests ${suggested_price_copywriting}
   - Suggested Retainer: AI suggests ${suggested_retainer}

Output Table:
Provide the data in the following Markdown format:

| Business Name | Website URL | Decision Maker | DM Contact (Email/Phone) | Identified Issue | Suggested Solution | Suggested Price |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| ${name} | ${url} | [Name/Title] | ${contact_info} | [e.g., No Mobile CTA] | ${implementation} | ${price_range} |

Notes:
- If a specific DM name is not public, AI will list the title (e.g., "Owner") and the best available general contact.
- Ensure the "Found Issue" is specific to that business's actual website.

INPUTS

location REQUIRED

The city or geographic area to search for local SMBs

e.g. Austin, TX

niche_1 REQUIRED

First business niche to target

e.g. plumbing

niche_2 REQUIRED

Second business niche to target

e.g. roofing

suggested_price_technical REQUIRED

Suggested price for technical fixes like speed/SSL

e.g. $5000

suggested_price_seo REQUIRED

Suggested price for local SEO and content growth

e.g. $3000/month

suggested_price_conversion REQUIRED

Suggested price for full conversion overhaul UI/UX

e.g. $8000

suggested_price_copywriting REQUIRED

Suggested price for copywriting services

e.g. $4000

suggested_retainer REQUIRED

Suggested monthly retainer price

e.g. $2000

REQUIRED CONTEXT

  • location
  • niche_1
  • niche_2

TOOLS REQUIRED

  • web_search
  • browser

ROLES & RULES

Role assignments

  • Act as an Elite B2B Lead Generation Specialist and Technical SEO Auditor.
  1. Exclude national chains/franchises.
  2. If the team is small, look for "Owner" or "Founder."
  3. If mid-sized, look for "General Manager" or "Marketing Director."
  4. If a specific DM name is not public, list the title (e.g., "Owner") and the best available general contact.
  5. Ensure the "Found Issue" is specific to that business's actual website.
  6. Provide the data in the following Markdown format.

EXPECTED OUTPUT

Format
markdown
Schema
table · Business Name, Website URL, Decision Maker, DM Contact (Email/Phone), Identified Issue, Suggested Solution, Suggested Price
Constraints
  • Use the specified Markdown table with columns: Business Name, Website URL, Decision Maker, DM Contact (Email/Phone), Identified Issue, Suggested Solution, Suggested Price
  • Exactly 20 leads total
  • Issues specific to each business's actual website
  • Incorporate provided pricing variables for suggestions

SUCCESS CRITERIA

  • Identify 20 high-quality local SMB leads in ${location} within the specified niches.
  • Conduct a surface-level audit of each lead's website to identify optimization gaps.
  • Propose a high-ticket solution with pricing suggestions.

FAILURE MODES

  • May include national chains/franchises despite exclusion rule.
  • May fabricate decision maker contacts and website issues since AI simulates discovery and audits.
  • Output may not reach exactly 20 leads if insufficient real data.
  • Pricing must use exact template variables which could be mismatched.

CAVEATS

Dependencies
  • Requires ${location}
  • Requires ${niche_1}
  • Requires ${niche_2}
  • Requires ${suggested_price_technical}
  • Requires ${suggested_price_seo}
  • Requires ${suggested_price_conversion}
  • Requires ${suggested_price_copywriting}
  • Requires ${suggested_retainer}
Missing context
  • Web search and browsing tool access for discovery and audits.
  • Criteria for 'high-quality' leads (e.g., revenue, traffic estimates).
  • SMB size definition (e.g., employee count, revenue range).
Ambiguities
  • "AI visits the website (or retrieves data)" is unclear on the mechanism, as LLMs lack native browsing.
  • Does not specify distribution of the 20 leads between the two niches (e.g., 10 each).

QUALITY

OVERALL
0.88
CLARITY
0.88
SPECIFICITY
0.87
REUSABILITY
0.95
COMPLETENESS
0.82

IMPROVEMENT SUGGESTIONS

  • Explicitly instruct use of tools like 'web_search' or 'browse_page' for steps 1-3.
  • Add 'Aim for 10 leads per niche' to balance discovery.
  • Include real-world examples of 'Identified Issue' and 'Suggested Solution' in the table header notes.
  • Define 'high-quality local SMB' with quantifiable traits like 'visible online presence, recent activity'.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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