How to effectively learn AI Prompting, with the 'AI for SEO Specialists (Prompt Course)'?

Start building AI-ready SEO systems that save hours every week

This prompt course equips SEO specialists with a complete, practical framework for using AI and ChatGPT across every major SEO task. It shows how to set goals, structure context, ask the right questions, and turn raw outputs into decisions, briefs, and dashboards you can rely on. You'll move from fragmented experiments to a repeatable, auditable workflow that integrates with your existing tools and processes.

Who this course is for

• In-house SEO teams looking to standardize AI usage across research, optimization, and reporting.
• Agencies and consultants who want reusable prompt systems that shorten delivery timelines and improve consistency.
• Content, product, and analytics professionals who collaborate with SEO and need reliable AI templates to speed up handoffs.

What you will learn

Across the modules, you'll learn how to build prompt-driven workflows for core SEO activities and connect them into a unified system. Expect to gain skills in:

• Transforming business goals and audience insights into structured inputs that guide AI toward relevant suggestions.
• Creating repeatable frameworks for keyword expansion, topic clustering, and search intent categorization.
• Generating on-page recommendations that map to strategy, comply with brand voice, and address SERP features.
• Running technical checks, summarizing audit findings, and organizing tasks for developers with clear acceptance criteria.
• Analyzing competitors for gaps, opportunities, and content angles, then channeling those insights into plans.
• Designing content strategies, briefs, and content refresh plans that build topical depth and measurable impact.
• Planning link outreach, prioritizing prospects, and drafting angles that emphasize value and ethics.
• Optimizing for local and mobile contexts with prompts that factor in device constraints and proximity signals.
• Producing structured reports, creating executive summaries, and communicating progress with clarity.
• Addressing voice search patterns and conversational queries with dialogue-friendly optimization approaches.
• Spotting and validating search trends, seasonality, and emerging topics before competitors act.
• Integrating UX considerations into SEO so pages meet intent, reduce friction, and support conversions.
• Implementing structured data with prompts that assist with mapping, validation, and impact review.
• Advising on SEO-friendly design decisions and documenting choices for product and engineering teams.
• Optimizing images and videos for discoverability, accessibility, and performance.
• Refreshing content based on data signals, quality guidelines, and shifting user expectations.
• Adapting strategies for international markets with language, locale, and search engine nuances in mind.
• Teaching others to use AI responsibly through workshops, internal playbooks, and role-based templates.
• Applying all of the above to e-commerce scenarios, including faceted navigation, PDP optimization, and merchant data feeds.

How the modules connect into one cohesive workflow

The course is built as a pipeline you can plug into everyday operations:

• Discovery and planning: Keyword research, competitor analysis, and trend analysis form your input base. You'll learn how to structure these inputs so subsequent prompts deliver consistent, high-quality outputs.
• Execution: On-page optimization, technical auditing, UX considerations, and structured data produce plans and tickets that are easy for writers, designers, and developers to act on.
• Distribution and promotion: Link strategy, local optimization, image and video enhancements help content reach more people and earn authority.
• Monitoring and iteration: Reporting, analytics, and content refresh workflows turn raw metrics into next steps, strengthening the loop over time.
• Specialized contexts: Mobile, voice, international, and e-commerce modules apply the same principles to specific environments where nuances matter.

How to use the prompts effectively

This course emphasizes process, structure, and repeatability. You'll learn how to make AI outputs reliable and easy to act on by following a few core habits:

• Set clear objectives: State the business goal, audience, and success criteria upfront. Include constraints (brand tone, compliance rules, timelines).
• Provide the right context: Add examples of your existing pages, product categories, or customer questions. The better the context, the better the output.
• Ask for structured results: Request outputs as tables, checklists, JSON, or bullet lists so they slot directly into briefs, tickets, or dashboards.
• Iterate with feedback: Refine outputs by asking for changes based on data, stakeholder feedback, or feasibility constraints.
• Cross-verify: Compare AI suggestions with actual data from your analytics, search console, and crawling tools before implementation.
• Standardize and version: Save your best-performing prompts as templates, document usage notes, and version them as your site evolves.

How the course drives measurable value

• Speed: Reduce time spent on repetitive tasks like clustering, briefs, and summary reports.
• Consistency: Standardize deliverables so multiple team members produce similar outputs with similar quality.
• Clarity: Convert raw data into concise insights and next steps for stakeholders.
• Quality: Improve content relevance, technical hygiene, and UX alignment across templates and pages.
• Scalability: Move from ad hoc tactics to a system that supports larger sites, more markets, and more categories.

What the course includes

Each module includes prompt frameworks, process guidance, and implementation checklists focused on a specific SEO area. Coverage spans:

• Keyword Research
• On-Page SEO Optimization
• Technical SEO Audit
• Competitor SEO Analysis
• Content Strategy for SEO
• Link Building Strategy
• Local SEO Optimization
• Mobile SEO
• SEO Reporting and Analytics
• Voice Search Optimization
• SEO Trend Analysis
• User Experience (UX) for SEO
• Structured Data Implementation
• SEO-Friendly Website Design Consultation
• Image Optimization
• Video SEO
• Content Refresh and Update
• International SEO Strategies
• SEO Training and Workshops
• E-commerce SEO

Data and tools this course expects

You can use the course with common SEO and analytics tools. While the prompts are tool-agnostic, the best results come from pairing them with exports and insights from:

• Keyword and SERP research platforms (for seed lists, volumes, SERP features).
• Site crawlers (for technical issues and internal linking opportunities).
• Web analytics and search console data (for performance and query insights).
• CMS and ticketing systems (to move outputs into production efficiently).

Ethical, safe, and practical use

The course reinforces responsible practices and long-term thinking:

• Accuracy first: Use AI for analysis, ideation, and drafting, then verify against data and policies.
• Compliance: Respect platform guidelines, accessibility standards, and user privacy.
• Value-led link outreach: Focus on relevance and genuine partnerships over shortcuts.
• Clear attribution and review: Keep human review checkpoints before anything goes live.

How you'll work through the course

• Concept-first: Each module starts by framing goals, inputs, and outputs to keep efforts aligned with business priorities.
• Process-driven: You'll connect prompts into workflows that produce publish-ready briefs, dev tickets, and reports.
• Iterative improvement: You'll learn a simple method for testing, benchmarking, and refining prompts over time.
• Documentation: You'll maintain a living prompt library and SOPs so teams can adopt the same standards.

Skills you'll bring back to your team

• Building prompt templates that reflect your brand, category structure, and market priorities.
• Turning AI outputs into content briefs, QA checklists, and developer tasks that are easy to action.
• Summarizing technical and performance data into stakeholder-friendly memos and dashboards.
• Running cross-functional workshops so content, design, and engineering can use AI responsibly.
• Adapting workflows for B2B, B2C, local, and international contexts without starting from scratch.

Outcomes you can expect

• A reusable, company-ready prompt library for end-to-end SEO.
• Clear SOPs for research, optimization, auditing, and reporting.
• Faster delivery of briefs, audits, and progress summaries.
• Greater alignment between SEO, content, and product teams.
• More predictable results through structured iteration.

Why this course stands out

Many resources list quick tips or one-off prompts. This course takes a systems approach. It shows how each SEO area connects to the next, how to pass context along the chain, and how to keep outputs verifiable and useful. The focus is on repeatability, stakeholder trust, and business impact-without adding complexity or guesswork.

Getting started

Begin with the overview module to set your objectives and define your initial inputs. From there, work through the research, execution, and reporting tracks in sequence, or jump to the modules that match your immediate priorities. By the end, you'll have an AI-enabled SEO workflow that is faster, clearer, and easier to maintain.