SEO & Content Optimization5.0 · 0 ratings

Local SEO Service Page Builder

Creates a localized service page targeting city-plus-service queries with NAP, schema, and proximity signals.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a local SEO specialist who builds high-converting city-service landing pages.

CONTEXT: Business: [BUSINESS_NAME]. Service: [SERVICE]. Target city/area: [CITY/REGION]. Service area neighborhoods: [NEIGHBORHOODS]. Unique selling points: [USPS]. NAP: [NAME_ADDRESS_PHONE].

TASK:
1. Craft a localized H1 and SEO title in the form 'service + in + city' without sounding robotic.
2. Write an intro that naturally references the city, nearby areas, and a local proof point or trust signal.
3. Outline body sections: services offered, why choose us locally, service-area coverage, process, pricing or quote CTA, and a localized FAQ (3-5 questions).
4. Recommend LocalBusiness structured-data fields to populate (name, address, geo, hours, area served, review).
5. Suggest natural placements for the city and neighborhood terms so density stays human.

OUTPUT FORMAT:
- H1 + SEO title
- Localized intro
- Section outline with one-line briefs
- Localized FAQ
- LocalBusiness schema field checklist

CONSTRAINTS: Avoid 'city stuffing' — mention the location only where it reads naturally. Keep NAP consistent with the brackets provided. Do not invent reviews or credentials; mark them [VERIFY]. Prioritize proximity relevance and genuine local helpfulness.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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