Amazon SEO: how to rank products in 2026 - Ighenatt Blog

Amazon is a search engine. The difference from Google: on Amazon, every search carries purchase intent.

When a user types “bluetooth running headphones” into Google, they might want to compare models, read reviews or simply learn about the options. When they type the same query into Amazon, they want to buy. That distinction changes the rules of ranking entirely. On Google, the measure of a result’s success is informational satisfaction. On Amazon, the measure of success is a sale.

75% of Amazon shoppers never scroll past the first page of results, according to Jungle Scout’s Consumer Trends Report. Being on the second page is, in practice, the same as not existing. The mechanism that determines which products appear on that first page is the A10 algorithm — the evolution of the well-known A9 that Amazon has been refining since 2023.

This article breaks down how that algorithm works, which signals it prioritises, and how sellers can optimise their listings to capture the searches that generate revenue.

Amazon as a search engine: why Google’s rules do not apply here

The most common mistake sellers with web SEO experience make is transferring Google practices to Amazon without adapting them. These are search engines with fundamentally different objectives.

Google wants users to find the best answer to their question. Amazon wants users to buy the most relevant product for their search. That difference in objective creates structural differences in how each algorithm evaluates content.

Shannon Roddy, founder of Marketplace Seller Courses and an Amazon consultant with over ten years of experience, summarises it well: “On Google you rank content. On Amazon you rank products. And a product ranks by selling.”

The direct implication is that on Amazon you cannot separate SEO from commercial strategy. A listing perfectly optimised for relevant keywords but with an uncompetitive price, poor images or zero reviews will not rank. The A10 algorithm needs to see that the product converts before granting it visibility.

The A10 algorithm: what has changed from A9

Amazon’s A9 algorithm prioritised three signals: textual relevance, price and sales. The A10, introduced progressively since 2023, maintains those signals but redistributes weight towards buyer behaviour factors and reduces the direct influence of PPC on organic ranking.

The signals that A10 prioritises, according to the technical analysis published by Helium 10:

Listing relevance: The match between the buyer’s query and the indexed content of the product (title, bullets, description, backend keywords). This signal works as a gateway filter: if the listing does not contain the keyword, the product does not appear. The A10 processes synonyms and semantic variations better than the A9, but exact-match keywords still carry more weight.

Conversion rate (Unit Session Percentage): The percentage of listing visits that result in a purchase. A product converting at 15% with 1,000 monthly visits generates a stronger ranking signal than one converting at 5% with 3,000 visits. Amazon interprets high conversion as evidence that the product satisfies buyer intent.

Sales velocity: The number of units sold in a recent period (Amazon weights the last 7–14 days more heavily). Sales spikes during events such as Prime Day or Black Friday create a temporary ranking boost that can persist if the velocity is sustained.

Seller performance history: The A10 considers overall account performance — defect rate, shipping time, cancellations. An account with healthy seller metrics receives a visibility bonus across all its products.

External traffic: A notable A10 addition is that it positively weights traffic arriving at the listing from external sources (social media, blogs, Google). Amazon values this traffic because it demonstrates product demand outside its own ecosystem.

Organic vs PPC sales: The A10 grants more weight to organic sales than to those generated by PPC. This does not mean PPC is irrelevant — it remains the most effective tool for generating initial sales — but organic sales sustain ranking over the long term with greater stability.

Anatomy of an optimised listing

An Amazon listing has fields with strict character limits. Knowing them and using them to their full extent is the foundation of optimisation.

Product title (200 characters maximum)

The title is the field with the greatest indexing weight. Amazon recommends the structure: Brand + Product line + Material or key feature + Product type + Colour + Size + Quantity.

A well-optimised title:

NordFit Bluetooth 5.3 Running Headphones, IP68 Waterproof, Active Noise Cancellation, 40h Battery, Ergonomic Sport Hook - Black

This title includes the brand, primary keyword (“bluetooth running headphones”), differentiating attributes (IP68, noise cancellation, 40h battery) and the colour. It uses 137 of the 200 available characters.

Bullet points (5 bullets x 250 characters each)

The bullet points are where you convert the visitor into a buyer. Each bullet should combine a product feature with the benefit it delivers.

The structure that works: Benefit in capitals + concise explanation + technical specification that supports the benefit.

ALL-DAY BATTERY LIFE — 40 hours of continuous playback on a single charge. 10-minute quick charge for 2 additional hours. USB-C compatible.

Each bullet should contain at least one secondary keyword naturally. Do not repeat the same keyword across all bullets: Amazon penalises keyword stuffing just as Google does.

Backend keywords (250 bytes)

Backend keywords are configured in Seller Central under “Generic keywords”. They are invisible to shoppers but Amazon indexes them to broaden the range of searches in which the product appears.

Proven rules for maximising the 250 bytes:

• Do not repeat words already present in the title or bullets. Amazon already indexes those words.
• Include synonyms, spelling variations and colloquial terms.
• Do not use commas or full stops — separate words with spaces.
• Include common misspellings that shoppers make.
• Do not repeat the same word: Amazon counts it only once.

Images and A+ Content

Amazon allows up to nine images per listing. The main image must show the product on a white background with no text or additional props. Secondary images are the space for showing the product in use, feature infographics and size comparisons.

Listings registered in Amazon Brand Registry can use A+ Content (formerly Enhanced Brand Content), which allows the addition of visual modules with rich text below the standard description. According to Amazon’s internal data, listings with A+ Content generate an average 5.6% increase in conversion rate.

Keyword research for Amazon: Helium 10 vs Jungle Scout

Keyword research for Amazon requires marketplace-specific tools. Google Keyword Planner shows search volumes on Google, not Amazon. Search volumes differ completely between the two platforms.

Helium 10 Cerebro is the reference tool for reverse ASIN lookup: enter a competitor’s ASIN and Cerebro shows all the keywords that product is indexed for, with estimated Amazon search volume and organic position. The advantage of Cerebro for European sellers is that it allows filtering by marketplace, showing data specific to each national market rather than global figures.

Helium 10 Magnet complements Cerebro with keyword suggestions based on a seed keyword. It shows search volume, number of competing products and a “Magnet IQ Score” that weights the real opportunity of ranking for that keyword considering the competition.

Jungle Scout Keyword Scout offers estimated search volumes plus a data point Helium 10 does not provide: an “Ease of Ranking Score” based on the actual competition among the top ten results. For sellers evaluating niches before launching a product, this score is particularly useful.

Jungle Scout Opportunity Finder goes a step further: it identifies niches with high demand and low competition by cross-referencing search volume data, competitor count, average price and average listing quality.

For a seller operating exclusively on a single European marketplace, Helium 10 delivers more granular local market data. For sellers comparing opportunities across multiple European marketplaces, Jungle Scout provides a broader view.

Common mistakes that destroy Amazon rankings

The most costly mistakes in Amazon SEO are not technical — they are strategic.

Copying competitor titles: Amazon detects duplicate content between listings. An identical title to another seller’s does not differentiate the product and may dilute the relevance of both listings.

Ignoring local search variations: Buyers in each marketplace search in their own vocabulary. Using terminology from a different market loses searches from local buyers. This applies equally across European marketplaces where the same language may use different terms regionally.

Prioritising high-volume keywords without considering conversion: A keyword with 50,000 monthly searches and a 2% conversion rate generates fewer sales than a keyword with 5,000 searches and 15% conversion. Amazon rewards conversion, not traffic.

Leaving customer questions unanswered: The listing’s Q&A section is indexable content. Unanswered questions are missed opportunities to include keywords and address purchase objections simultaneously.

Neglecting price as a ranking signal: The A10 does not reward the lowest price, but it does penalise prices significantly above the market range for comparable products. A product priced 40% higher than its direct competitors will have a worse conversion rate, which drags down organic ranking.

Optimisation checklist for Amazon sellers

This is the sequence of actions a seller can execute to optimise their listings:

1. Audit current keywords with Helium 10 Cerebro: analyse the top five direct competitors and identify the keywords they capture that you do not.
2. Rewrite titles using the structure: Brand + Primary keyword + Attributes + Specifications + Colour/Size. Use all 200 available characters.
3. Draft bullets using the formula: Benefit in capitals + explanation + technical data. One secondary keyword per bullet.
4. Fill backend keywords with synonyms, spelling variations, common misspellings and colloquial terms. Do not repeat words from the title or bullets.
5. Optimise images: main image with white background, secondary images showing the product in use, feature infographics and size comparison.
6. Activate A+ Content if you have Brand Registry: visual modules with rich text that increase conversion by an average of 5.6%.
7. Answer all questions in the listing’s Q&A section, naturally including keywords.
8. Launch a PPC campaign targeting the 10–15 highest-volume keywords for four to six weeks to generate initial sales velocity.
9. Monitor Unit Session Percentage in Seller Central: if it falls below 10%, the listing needs conversion improvements (images, price, bullets).
10. Review and update monthly: search volumes change with seasonality. Helium 10 Keyword Tracker monitors organic positions and detects ranking drops.

Amazon SEO and Google SEO share one principle: visibility depends on understanding what the algorithm evaluates and delivering precisely that. The difference is that Amazon communicates what it wants with greater transparency — sales, conversion, buyer satisfaction — and provides direct tools in Seller Central to measure whether you are delivering it.

If your goal is to sell on Amazon and your listings still carry the default titles the system generated, that is not an SEO problem. It is a revenue problem.