Amazon SEO Agency: What It Is and Whether You Need One

Google ranks pages on backlinks and domain authority. If your current agency mentions PageRank in the same sentence as Amazon, that is your sign to update the calendar invite.

This guide covers what Amazon SEO actually involves, how Rufus and COSMO changed it in 2024, whether you should use AI to write your listings yourself, and when working with a dedicated amazon seo agency makes the kind of financial sense your accountant will appreciate.

What Amazon SEO Actually Means

When people say “Amazon SEO” they mean listing optimisation — structuring your product detail page so Amazon’s algorithm indexes it correctly and shoppers actually buy the thing once they land on it.

Five areas drive this:

• Title – the most important indexing real estate on the page. Amazon reads it first, shoppers read it second. Both decisions happen in under three seconds. The wrong title is expensive in ways that do not show up as a line item.
• Bullet points – where the purchase decision is made. Features tell Amazon what the product is. Benefits tell the shopper why they should care. Most brand-written bullets are a list of features. Most brand conversion rates would disagree with that approach.
• Backend search terms – 250 bytes of keywords Amazon uses for indexing that no shopper ever sees. Wasted space here is wasted rank. Nobody will thank you for leaving it half empty.
• Images – Amazon counts click-through rate as a ranking signal. A product that gets scrolled past loses rank over time regardless of how good the copy is. Your main image is doing more SEO work than most brands realise.
• A+ content – not a direct ranking factor, but an indirect one. Higher conversion rate from better creative sends a performance signal that supports rank. Think of it as the long game.

None of these are set-once tasks. A listing optimised in 2022 is competing against listings optimised last month. Which brings us to the part of this guide most agencies are still catching up with.

How Amazon Actually Ranks Products

Amazon’s algorithm – technically A9, though it has evolved – ranks products on two variables: relevance and performance.

Relevance is whether Amazon believes your product matches what the shopper searched for. Keywords in the title, bullets, backend, and A+ content body all feed this. Get the architecture wrong and Amazon does not index you for the right searches. You can have the best product in the category and rank on page six.

Performance is how shoppers behave once they find you. Click-through rate, conversion rate, sales velocity, return rate, review score – Amazon watches all of it. A product that converts twice the category average gets pushed up, regardless of keyword frequency.

We saw this directly with Alphard, a lifestyle brand in our case studies. Their product had a 4.4 star average and was sitting at 6.2% conversion. Not a visibility problem – a listing quality problem. New imagery, a full listing rewrite, and A+ content took conversion to 15.4% in 60 days. Organic sessions improved 41%. Same ad spend. More revenue.

Rufus and COSMO: The Amazon AI Layer That Changed Listing Optimisation

In February 2024, Amazon launched Rufus – a generative AI shopping assistant built into the Amazon app and website. Instead of typing “face serum” into the search bar, shoppers now ask Rufus: “What’s a good face serum for combination skin that doesn’t feel greasy?”

Rufus answers by reading your product listing, A+ content, Q&A section, and reviews. It synthesizes all of that and decides whether your product is a useful answer to the question.

Rufus handled 274 million daily queries by Q4 2024. Amazon’s CEO confirmed Rufus generated nearly $12 billion in incremental annualized sales. That is more than the population of Brazil asking Amazon AI questions every day – some of those questions are about your product.

Here is what that means practically: Rufus does not just scan for keyword matches. A bullet point that says “premium hydrating formula” tells Rufus very little. A bullet point that says “deeply hydrating formula for combination skin, absorbs within 60 seconds without leaving residue” gives Rufus something to work with when a shopper asks about greasy serums.

COSMO – the knowledge layer underneath Rufus

Underneath Rufus sits COSMO – Common Sense Knowledge Generation – Amazon’s knowledge graph published as peer-reviewed research at ACM SIGMOD 2024. It understands real-world relationships between products, queries, and use cases.

COSMO knows that a shopper searching “shoes for a wedding” wants formal footwear – not trainers. Without the shopper needing to type “formal” or “smart.” COSMO infers the context from the use case.

For listings, this means describing real-world contexts and scenarios – not just specifications. A supplement listing that says “daily vitamin for adults” is less useful to COSMO than one explaining it is formulated for women over 40 managing energy levels during perimenopause. Same product. Dramatically different contextual information.

The practical shift: Write listings to answer the question behind the search, not just match the words in it. Rufus and COSMO reward that. So does your conversion rate, which was always going to give you the same feedback eventually.

Traditional keyword optimization is still the foundation – it is not going away. Rufus handles roughly 13 to 14 percent of Amazon searches as of early 2026, with projections suggesting 35 percent by end of 2025. The other 85 percent still goes through A9 keyword matching. You need both.

Should You Use ChatGPT or Claude to Write Your Amazon Listings?

Yes. With one critical condition: what you feed the AI is 90 percent of the result.

If you ask any AI tool to “write an Amazon listing for a face serum” without product specs, target buyer, main keywords, and differentiators – you will receive a thoroughly optimized piece of content that sounds exactly like every other AI-generated Amazon listing. That is not competitive advantage. That is mediocre output produced very quickly.

The mistake is treating AI as a content machine rather than a content accelerator. AI is exceptional at structuring information and producing clean readable prose. It is not exceptional at knowing your serum has a patented 12-hour moisture retention formula that competitors do not, unless you tell it that.

Think of it this way: AI is a capable junior copywriter who knows nothing about your product and needs a proper brief before writing anything useful. Brief them properly and you get a strong first draft in 30 seconds. Skip the brief and you get output that blends into the page – just not in the way you want.

A prompt you can use right now

If you have two or three listings to optimise, paste this into Claude, ChatGPT, or any equivalent tool:

AMAZON LISTING OPTIMISATION PROMPT

You are an Amazon listing specialist. Write an optimised product listing

using the information below. Prioritise clarity and benefit-led language.

Write for humans first. Do not keyword-stuff.

Product name: [fill in]

Product category: [fill in]

Price: [fill in]

Primary keyword (from keyword research): [fill in]

Top 3 competitor listing titles (paste them): [fill in]

Key product features (list 5-7): [fill in]

Main differentiator vs competitors: [fill in]

Target buyer: [describe who buys this and why]

Most common buyer question from reviews or Q&A: [fill in]

Certifications, claims, or compliance notes: [fill in]

Please write:

1. Title — max 200 characters, primary keyword in first 5 words,

   no promotional words like ‘best’ or ‘amazing’

2. Five bullet points — open each with a bold benefit in CAPS,

   max 250 characters each, lead with benefit not feature

3. Backend search terms — 250 bytes, no duplicates from title,

   no competitor brand names

4. Product description — 350-400 words, short paragraphs,

   benefit-led, written for someone nearly convinced

That prompt produces a solid working draft in under a minute. You will still need to review it, add specific product details the AI could not know, and check keyword placement against your actual search data. But it removes the blank-page problem and the three hours of procrastination that usually goes with it.

For a full catalogue of 50 or more ASINs – or when your listings need to rank in high-volume categories – the manual layer of keyword data integration, conversion testing, and ongoing performance monitoring is where a dedicated agency earns its retainer. The prompt handles the first draft. It does not handle compound optimization over time.

What an Amazon SEO Agency Actually Does

A legitimate Amazon SEO agency runs a full optimisation cycle – not a one-time listing rewrite shipped as a PDF and never looked at again. (The fact that this apparently needs to be said is information about the industry.)

1. Keyword research – identifying the specific terms Amazon shoppers use in your category ranked by volume, relevance, and competition. Using actual Amazon search data, not Google Keyword Planner repurposed for a platform it was not designed for.
2. Listing audit – comparing your current title, bullets, backend keywords, and images against keyword data, category benchmarks, and Rufus readability.
3. Content rewrite – rebuilding the listing from the keyword architecture up, with copy that ranks for the right searches, converts the traffic, and gives COSMO the contextual information it needs.
4. Conversion tracking – monitoring performance post-change and adjusting. A listing is never finished. Every sale teaches the algorithm something about your product.
5. PPC coordination – making sure advertising campaigns target the same high-priority keywords the listing is optimised for. SEO and PPC on Amazon are connected systems. Running them as separate workstreams is the equivalent of training your left leg and ignoring the right one.

The search term report in your advertising console is one of the richest sources of keyword data available for listing optimisation. An Amazon SEO agency that has never opened your advertising console is missing half the relevant data.

Amazon SEO vs Google SEO: The Part That Matters

If you have worked with a Google SEO agency, unlearn most of it before briefing an Amazon one.

• Backlinks – Google cares enormously. Amazon does not. External links to your product listing have no direct ranking effect whatsoever. Zero.
• Domain authority – on Google, a high-authority domain ranks better. On Amazon, your seller performance metrics affect visibility. Late shipments, cancellation rates, defect rates matter. Your Moz score does not.
• Content depth – Google rewards extensive topical content across a whole domain. Amazon has no interest in your blog. Every optimisation effort goes into the product detail page.
• Time to results – Google SEO takes months to years. Amazon listing changes index within 24 to 72 hours. That feedback loop is tight enough to actually test things.

What Most Amazon SEO Agencies Get Wrong

Most agencies treat listing optimisation as a deliverable, not a discipline. They rewrite your listings during onboarding, send you the file, and call the work done. Six months later your backend keywords have been wiped by a catalogue update, your title was reverted by Amazon’s automated content review system, and your conversion rate has drifted below category average. The agency’s report shows improved keyword coverage. Your revenue does not agree.

The second failure is treating SEO and PPC as separate workstreams. An agency managing your listings that has never looked at your search term report is like a doctor who has not read your test results. Technically they are seeing you.

The third – and the one that is becoming more expensive by the month – is ignoring Rufus and COSMO entirely. Agencies optimising exclusively for keyword match frequency are building listings that perform well for 85% of Amazon searches while progressively failing at the 15% that is growing fastest.

Do You Actually Need an Amazon SEO Agency?

When you probably do not

If you are under $30,000 per month on Amazon and have time to spend on optimisation, you can handle the basics yourself. Helium 10 and Jungle Scout give you the keyword data. The prompt in this article handles the first draft. At that revenue level, the incremental value of an agency retainer may not justify the monthly cost.

When you probably do

• You are over $50,000 per month and PPC is the only thing propping up your organic rank. That is a listing quality problem wearing an ad spend costume.
• Your conversion rate is below the category average despite strong reviews. The product is good. The listing is not communicating it.
• You are expanding to Amazon.co.uk, Amazon.ca, or Amazon.com.au and your keyword strategy is built on US data that does not translate.
• You have 20 or more active ASINs that have not been systematically optimised in the past 12 months. At that scale, optimisation is a full-time function whether you acknowledge it or not.

One thing worth saying directly: if the agency you are evaluating cannot connect their keyword strategy to conversion rate improvement – not just ranking – keep looking. Rankings that do not convert are a cost center, not a growth metric.

If any of the above sounds like your account, our full-service Amazon management covers the full cycle – PPC, listings, A+ content, account health, and ongoing optimisation — under one retainer.

Amazon SEO in the UK, Canada, and Australia

Brands outside the US growing on Amazon.co.uk, Amazon.ca, or Amazon.com.au face a version of this problem with an extra layer. The keyword data is different. A London brand looking at “vitamin C serum” volumes using US-focused tools will see inflated numbers that do not reflect Amazon.co.uk search demand. British consumers search differently – different terminology, different phrase structures, different regulatory language in categories like supplements.

Canadian brands on Amazon.ca face the additional complexity of bilingual requirements for Quebec, where French-language listings are legally mandated for certain product categories. Most agencies treat Amazon.ca as Amazon.com with a different currency. The French Language Charter would like a word.

Australian sellers on Amazon.com.au are in a different situation. The marketplace is younger, category competition is lower, and cost per click in PPC is materially more affordable than on Amazon.com. The keyword data for optimisation needs to come from Amazon.com.au specifically – not extrapolated from US volumes.

If you are an established brand in Toronto, London, Sydney, or Melbourne looking to scale on Amazon, or a brand looking to expand to Amazon.com – book a free account audit and we will review your specific marketplace situation before recommending anything.

FAQ: Amazon SEO Agency Questions Answered

What is Amazon SEO?

Amazon SEO is the process of optimising product listings to rank higher in Amazon’s search results and convert better once shoppers land on the page. It involves keyword research, title and bullet optimisation, backend search term management, image strategy, and increasingly – writing content that answers the questions Rufus users ask conversationally.

What are Rufus and COSMO and why do they matter?

Rufus is Amazon’s AI shopping assistant, handling 274 million daily queries as of Q4 2024. It reads your full listing – title, bullets, A+ content, reviews, Q&A — and decides whether your product answers a shopper’s conversational question. COSMO is the knowledge graph underneath Rufus that understands real-world context without exact keyword matches. Together they mean that listing copy which only targets keyword frequency is at a growing disadvantage against copy that explains use cases and buyer contexts in natural language.

How is Amazon SEO different from Google SEO?

Google ranks pages using backlinks, domain authority, and content depth. Amazon ranks products on listing relevance and shopper behaviour – conversion rate, sales velocity, return rate, and review score. An agency that specialises in Google SEO does not automatically understand Amazon, and treating the two as interchangeable is one of the more expensive assumptions in ecommerce.

Should I use AI tools like Claude or ChatGPT to write my listings?

Yes, with the right prompt and realistic expectations. The prompt in this article gives you a working framework. AI produces a strong first draft in seconds. It does not replace keyword research, conversion rate monitoring, or the human judgment required to connect search data to copy decisions. For a small catalogue, AI-assisted optimisation is a legitimate approach. For an established brand with 20+ ASINs in competitive categories, the ongoing management layer is where a dedicated agency earns its cost.

How long does Amazon SEO take to show results?

Backend keyword changes index within 24 to 72 hours. Organic rank improvement from listing changes typically becomes visible over 30 to 60 days as conversion rate signals build. Meaningful compound improvement happens at 60 to 90 days. Rufus optimisation benefits show up in Search Query Performance data as impressions from conversational long-tail queries increase.

Does PPC advertising affect organic SEO rankings?

Indirectly, yes – PPC drives traffic that generates sales, and sales velocity is a ranking signal. More usefully: your search term report shows exactly which keywords are driving conversions. That data should feed directly into your listing optimisation priorities. Running PPC and SEO as separate workstreams means sitting on some of the best keyword data available and not using it.

How much does an Amazon SEO agency cost?

Project-based listing rewrites run $500 to $2,000 per ASIN depending on scope. Monthly retainers covering ongoing optimisation start from $1,500 per month. Full-service retainers including PPC, listings, A+ content, and account health start from $2,000 per month. Worth noting agencies charging a percentage of ad spend have a structural incentive to grow your budget rather than your profitability. Flat retainers align incentives differently.

About Sellexio

Sellexio is a dedicated Amazon growth agency for established brands in beauty, wellness, lifestyle, and apparel. We manage PPC, listing optimisation, A+ content, account health, and full account management for brands doing $50,000 or more per month on Amazon. You work directly with the founder – not an account manager.