By industry · E-commerce & Retail

Each AI engine shops differently. Are you in all of their answers?

From running shoes to skincare, recommendation prompts drive discovery. MentionX measures mentions, shortlists and citation sources per engine.

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example scene · buyer → AI engine
A buyer types
“”
Waiting for the question
1. Brand ARecommended
2. Brand BRecommended
3. Brand CMentioned
Your brandNot in the answer
Example scene with placeholder names. Your scan shows the real answers.
What the research says · e-commerce

Outside evidence, before your own scan exists.

Vendor study
4%
of Google AI Overview citations were retailers
Vendor study
36%
of ChatGPT citations were retailers, about 9x more
The number that matters
How often AI picks you
We never guess it. Your first scan measures it, and it shows up here instead of the research.
Run your first scan →
These are third-party studies, many from vendors with something to sell. They are hypotheses to test, not MentionX results. Your first scan replaces them with your own numbers.
Chapter 1 · The shortlist forms

One sentence. Three or four names. Then the buyer stops looking.

Nobody scrolls ten blue links any more. The answer is the shortlist, and the shortlist is the market. In e-commerce, a name that is not in it is not in the room.

Most tools stop here and tell you whether you appeared. That is the easy question.

Share of the answer, per brand · placeholder
Brand ARecommended
Brand BRecommended
Brand CMentioned
Your brandNot in the answer
Chapter 2 · Where the answer came from

One engine reads what people say. Another reads where you can buy.

In a holiday-season study, Google AI Overviews leaned on YouTube, Reddit and editorial sites, while ChatGPT leaned on retailers like Amazon and Walmart. A plan for one engine can leave you invisible on another.

THEANSWER1Editorial listplaceholdereditorial.example2Retailer pageplaceholderretailer.example?Your pagenever citedyour-shop.example
Chapter 3 · The gap

Not “you are missing”. Which page, which question, which answer.

Your share of answers
Read from your scan, never estimated. Ring shown with placeholder fill.
01
Present on retailers, absent from editorial and community
You may show up where ChatGPT looks and vanish where Google AI looks.
02
Product pages that answer no buyer need
Specs without use cases give engines nothing to quote.
03
No presence in the best-of lists engines reuse
The same few lists keep being cited.
Chapter 4 · What happens next

Seeing the gap is not the product. Closing it is.

Every gap becomes an ordered fix. Do them in order, rescan, and watch your name climb the shortlist.

The shortlist · example
Today
1Brand ARecommended
2Brand BRecommended
3Brand CMentioned
4Your brandNot in the answer
1
Map which source types each engine cites for your category
Retailer, editorial, community, video. Your scan shows the split.
2
Pitch the lists and videos each engine reuses
One placement can change many answers.
3
Rewrite product pages around the buyer need
Who it is for and which problem it solves.
Chapter 5 · What it is worth

A mention is not the goal. Pipeline is.

The question leadership asks is never “are we mentioned”. It is what the fix is worth. Each gap is tied to the revenue it touches, so the order of work has a number next to it.

1
In the answer
Your brand makes the shortlist.
2
Buyers act
They visit, compare and ask for a demo.
3
Pipeline
Opportunities tied to the fix.
[YOUR PIPELINE NUMBER]
4
Revenue
The number leadership signs off on.
[YOUR REVENUE NUMBER]
e-commerce FAQ

What teams in e-commerce ask first.

Can it track individual products?

Yes. Track brand prompts and product-need prompts separately.

Will this show sales impact?

It shows how AI recommends you. Linking that to revenue is the direction we are building toward.

Does it compare engines?

Yes, for the engines your plan covers.

Other industries
B2B SaaS & TechnologyFinancial Services & FintechHealthcare & ClinicsTravel & HospitalityProfessional ServicesEducation & EdTechAll industries →

Find your gap before your buyer finds your rival.

Stored engine answers before scores. No fabricated query volumes.

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