Amazon SEO Course

Lesson 1 • Setting Measurable SEO Goals

Teaches students to define keyword rank targets, organic session benchmarks, and conversion baselines. Goals created here guide every optimisation sprint in later chapters.

Lesson 2 • Amazon Ranking Factors Overview

Maps the full set of ranking inputs: relevance, sales velocity, reviews, and fulfilment method. Students prioritise which factors to optimise first based on impact.

Lesson 3 • Amazon vs. Google SEO Differences

Contrasts Amazon's conversion-first ranking model with traditional search engines. Establishes why Google SEO tactics fail on Amazon without adaptation.

Lesson 4 • How Amazon Search Engine Works

Explains A9/A10 algorithm logic, purchase intent weighting, and relevance signals. Connects search mechanics to every optimisation decision made later in the course.

Lesson 1 • Using Amazon Auto-Suggest and Search

Extracts buyer-language keywords directly from Amazon's search bar and category browse nodes. Teaches a repeatable manual research process requiring no paid tools.

Lesson 2 • Keyword Types and Taxonomy

Distinguishes seed, long-tail, competitor, and backend keywords by function and placement. Taxonomy guides where each keyword type is deployed in a listing.

Lesson 3 • Building a Master Keyword List

Consolidates research into a prioritised, deduplicated keyword list scored by volume, relevance, and competition. This list becomes the input for all listing copy in Chapter 3.

Lesson 4 • Third-Party Keyword Research Tools

Evaluates leading keyword tools for search volume, relevance score, and competitive difficulty data. Students select and configure a primary tool for ongoing research.

Lesson 1 • Product Description and A+ Content

Covers HTML-formatted descriptions and A+ Content modules for brand-registered sellers. A+ Content improves conversion rate, which feeds back into organic rank.

Lesson 2 • Crafting Keyword-Rich Bullet Points

Structures five bullet points to balance top keywords with benefit-driven copy that converts browsers. Bullets reinforce title keywords and introduce secondary terms.

Lesson 3 • Backend Search Terms Optimisation

Fills backend keyword fields with high-value terms excluded from visible copy, maximising index coverage. Teaches field limits, prohibited terms, and deduplication rules.

Lesson 4 • Writing High-Converting Product Titles

Teaches title structure rules, keyword placement hierarchy, and character limit compliance. A strong title is the single highest-impact SEO element on any listing.

Lesson 1 • Image Performance Measurement

Tracks CTR and conversion changes after image updates using Seller Central and advertising reports. Data-driven iteration is the mechanism for continuous visual improvement.

Lesson 2 • Video Content for Listings

Explains video eligibility, placement, and content strategy for brand-registered and non-registered sellers. Video increases dwell time, a behavioural signal that supports rank.

Lesson 3 • Amazon Image Technical Requirements

Covers resolution, background, file format, and zoom-threshold specifications for main and secondary images. Technical compliance is prerequisite to any visual optimisation.

Lesson 4 • Main Image Click-Through Optimisation

Analyses how main image composition drives click-through rate from search results pages. Higher CTR signals relevance to the algorithm and improves organic rank.

Lesson 1 • Promotions, Coupons, and Deals

Covers Lightning Deals, coupons, and Prime Exclusive Discounts as tools to spike conversion and sales velocity. Velocity spikes accelerate rank gains when timed strategically.

Lesson 2 • Review Acquisition and Management

Teaches compliant review request strategies using the Request a Review button and Amazon Vine. Review count and rating directly influence conversion rate and rank.

Lesson 3 • Q&A and Customer Engagement

Optimises the Q&A section with keyword-rich answers that address buyer objections and improve indexing. Active Q&A management signals listing quality to the algorithm.

Lesson 4 • Price as an SEO Ranking Signal

Demonstrates how price competitiveness affects conversion rate, which in turn drives organic rank. Students learn to monitor category price benchmarks continuously.

Lesson 1 • Sponsored Brands and Display Ads

Introduces Sponsored Brands for brand awareness and Sponsored Display for retargeting and category conquest. These ad types support conversion rate goals that feed organic rank.

Lesson 2 • Sponsored Products Campaign Structure

Builds auto and manual Sponsored Products campaigns optimised for keyword discovery and rank acceleration. Campaign structure decisions directly affect which keywords gain organic traction.

Lesson 3 • Keyword Harvesting from Ad Data

Extracts converting search terms from auto campaign reports and promotes them to manual campaigns. This closes the loop between advertising data and organic keyword strategy.

Lesson 4 • Ad Budget Allocation for SEO Goals

Allocates ad spend across campaigns to maximise sales velocity on target keywords within a fixed budget. Students build a budget model tied to specific rank position goals.

Lesson 1 • Keyword Rank Tracking Methods

Compares manual rank checking against automated rank tracking tools for accuracy and scalability. Consistent rank tracking reveals whether SEO changes produce measurable movement.

Lesson 2 • Brand Analytics for SEO Insights

Uses Amazon Brand Analytics search frequency rank and click share data to identify keyword opportunities. Brand Analytics is available only to brand-registered sellers.

Lesson 3 • Building an SEO Reporting Dashboard

Assembles a recurring reporting template combining rank, sessions, conversion, and revenue into one view. A consistent dashboard enables faster decision-making and stakeholder communication.

Lesson 4 • Conducting a Full SEO Audit

Applies a structured audit framework to evaluate title, bullets, backend, images, price, and reviews simultaneously. The audit output is a prioritised fix list ordered by ranking impact.

Lesson 1 • Catalog Architecture and Variation Strategy

Designs parent-child variation structures that consolidate reviews and sales history to boost rank. Poor variation architecture splits ranking signals and weakens all child ASINs.

Lesson 2 • Algorithm Change Response Protocol

Establishes a monitoring and response system for detecting and adapting to Amazon algorithm updates. Fast adaptation preserves rank during transitions that penalise unprepared sellers.

Lesson 3 • International Marketplace Expansion

Adapts keyword research and listing copy for non-English marketplaces using translation and localisation best practices. Each marketplace has independent ranking signals requiring separate optimisation.

Lesson 4 • Seasonal and Trend-Based SEO

Adjusts keyword strategy and listing copy ahead of seasonal demand peaks and emerging trend cycles. Proactive updates capture rank before competitors react to the same trends.