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How Agency E-commerce SEO Managers Can Build a Keyword Research Framework for an SEO Strategy Presentation That Improves Local Search Visibility Using ChatGPT

From low organic traffic despite publishing to a keyword research framework that identifies local search opportunities — Advanced techniques for Agency teams building e-commerce SEO strategy presentations
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The Prompt
You are a senior e-commerce SEO agency strategist with 12 years of experience building keyword research frameworks and SEO strategy presentations for agency clients managing multi-location e-commerce businesses where organic traffic is low despite consistent publishing because the keyword strategy is targeting national head terms rather than the local and long-tail keywords that the site can actually compete for and win. Help me build a keyword research framework so I can improve local search visibility and present an SEO strategy that identifies winnable local keyword opportunities rather than continuing a national keyword strategy that is producing content with no ranking movement. My situation: - E-commerce client type and local presence: [e.g., "a sporting goods retailer with 12 physical store locations across the UK and an e-commerce site — the site publishes two blog posts per week targeting national keywords for which it ranks below position 50"] - Local search opportunity identified: [e.g., "Google Business Profile data shows strong local search impressions for store location searches, but the e-commerce site has no local landing pages and no location-specific content that would capture searchers with purchase intent in specific cities"] - Current keyword strategy problem: [e.g., "the keyword list is built around national head terms like 'running shoes' with 135,000 monthly searches — the site has a Domain Authority of 28 and will not rank for these terms against JD Sports, Sports Direct, and Nike for years"] - Competitor local SEO observation: [e.g., "two regional sporting goods chains ranking in the top 5 for location-specific queries like 'running shoes Manchester' and 'trail running gear Edinburgh' — neither has the national domain authority of the major chains but both outrank the client locally because they have dedicated local landing pages and locally-optimized blog content"] - SEO strategy presentation audience: [e.g., "the client's head of e-commerce and marketing director — they have approved the national keyword strategy for 18 months and need to be convinced that a local SEO pivot is a better use of content budget"] - Publishing capacity: [e.g., "two posts per week — the framework must show exactly which local keywords to target with which content type rather than leaving the prioritization decision to the content team"] - Business goal: [e.g., "increase in-store footfall from organic search and increase local e-commerce conversions — the client attributes 23% higher average order value to customers who have visited a physical store before purchasing online"] Deliver: 1. A keyword research framework for multi-location e-commerce local SEO — a five-stage process covering the national keyword list audit (identifying which current target keywords are realistically winnable at DA 28), the local keyword discovery methodology using Google Search Console location data and GBP search query reports, the location-specific keyword opportunity scoring system, the content type assignment for each keyword tier, and the publishing priority matrix based on search volume, local competition, and conversion potential 2. A local keyword opportunity analysis for three store locations — applied to three of the twelve store locations as an illustration, covering the top five location-specific search queries for each, the current ranking position for each query, the estimated monthly local search volume, and the recommended content type (local landing page, location-specific buying guide, or local event content) for each keyword 3. A competitor local SEO analysis brief — a structured comparison of the two regional chain competitors' local content strategies, covering the number of location-specific landing pages they have, the keyword targeting pattern of their local blog content, their Google Business Profile category structure, and the three specific tactics from their local SEO approach that the client can replicate with existing resources 4. A national versus local keyword reallocation plan — a presentation-ready analysis showing the current traffic opportunity for the national head terms versus the local keyword opportunity, expressed as realistic monthly traffic projections at DA 28 for each strategy, demonstrating that the local keyword opportunity produces 3 to 5 times more achievable traffic within 6 months than continuing the current national strategy 5. A local content template brief for location-specific landing pages — a structure for 12 location-specific product category pages (one per store location), covering the H1 format using the city name and product category, the unique local content elements (local running routes, local trail conditions, store team expertise area), the local schema markup requirements, and the Google Business Profile integration points 6. A SEO strategy presentation structure — a six-slide framework for the head of e-commerce and marketing director audience covering the current strategy performance (showing national keyword ranking position distribution), the local search opportunity analysis, the competitor local SEO benchmark, the proposed keyword framework with the realistic traffic projection, the 6-month implementation roadmap, and the success metrics that demonstrate ROI within the first quarter 7. A keyword research tooling brief for a DA 28 site — a workflow using Google Search Console, Google's People Also Ask and autocomplete, and one paid tool (Ahrefs or Semrush) that produces a ranked keyword opportunity list without requiring the client to invest in enterprise SEO tooling, with the specific filter settings that identify local keywords with competition levels appropriate for a DA 28 site 8. A 6-month local SEO implementation roadmap — a month-by-month plan covering the Google Business Profile optimization in month one, the location-specific landing page creation in months two and three, the local buying guide content in months three through five, and the local link building and citation audit in months five and six, with the expected local ranking improvement at each 30-day milestone **Write every framework component and presentation structure assuming the agency SEO manager is presenting a strategy pivot to a skeptical client who has already invested 18 months in the current national keyword approach — every data comparison and opportunity projection must be expressed in traffic and revenue terms rather than SEO metrics, because the client evaluates success by footfall and conversion, not by ranking position.**

💡 How to use this prompt

  • Build the national versus local keyword reallocation plan from output item 4 before any other component of the presentation. The client's head of e-commerce will not approve a strategy pivot without seeing a direct financial comparison between the two approaches. A realistic traffic projection showing that the local keyword strategy produces more achievable traffic than the national strategy within six months makes the pivot decision straightforward — without this data, the presentation is a recommendation without evidence.
  • The most common mistake is presenting the local keyword opportunity as an addition to the current national strategy rather than as a replacement for the content investment currently going to unwinnable national keywords. Agency SEO managers who frame the local pivot as "and also local" allow the client to continue publishing two national keyword posts per week while adding local content on top — which dilutes both strategies. The reallocation plan must show specifically which national keyword content should stop being produced so the publishing capacity can be redirected to local keywords where the site can win.
  • ChatGPT handles this task well and responds faster than Claude on shorter outputs. For complex multi-constraint versions of this prompt, switch to Claude — it holds more instructions in context without drifting.
Related Topics
#ChatGPT #E-commerce Local SEO #Keyword Research Framework

About This SEO AI Prompt

This free SEO prompt is designed for ChatGPT and works with any modern AI assistant including ChatGPT, Claude, Gemini, and more. Simply copy the prompt above, paste it into your preferred AI tool, and customize the bracketed sections to fit your specific needs.

SEO prompts like this one help you get better, more consistent results from AI tools. Instead of starting from scratch every time, you can use this tested prompt as a foundation and adapt it to your workflow. Browse more SEO prompts →

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