How to do AEO for a marketplace

AEO for marketplaces: the buy-side and sell-side prompts that decide a two-sided platform, the sources AI reads, and how Prefer tracks each side.

Javed Khatri Javed Khatri Co-founder, Prefer

6 min read AEO by business model

The short answer

How do marketplaces get recommended by AI assistants?

A marketplace wins two AI answers at once: buyers asking where to find something, and sellers asking where to sell it. Prefer tracks both sides' prompts on five engines, so a gap on the sell side cannot hide behind a strong buy side. You win each side's sources, where-to-buy roundups and threads for buyers, best-to-sell guides and forums for sellers, and keep trust sentiment healthy.

Key takeaways

  • A marketplace competes for two answers: the buy-side (where to find or buy X) and the sell-side (best marketplace to sell X), and they read different sources, so you have to win both. Prefer tracks both sides' prompts on five engines, so a gap on one side shows up.
  • Third-party sources decide it: across our four-engine study of 1,237 citations, independent listicles took 40% and platforms' own sites 34%. For marketplaces those are where-to-buy and best-to-sell roundups plus community threads.
  • Reddit was the #1 cited source on ChatGPT across all 25 queries in our Reddit study. Buyers and sellers both trade marketplace recommendations there, so a platform absent from those threads is absent from the reasoning.
  • Trust is a citation factor for platforms: is-it-safe and is-it-legit prompts are decided by review sites and community sentiment, not your marketing.
  • Measure citation share on both sides, not rank. Most of these prompts have near-zero Google volume; the KPI is whether the answer names your platform to the buyer and the seller.

Why AI search decides marketplaces outcomes

40% vs 34%

independent listicles out-cite platforms' own sites

Across our four-engine study of 1,237 citations (all categories), third-party listicles took 40% and own sites 34%. For marketplaces those are the where-to-buy and best-to-sell roundups on each side.

#1 on ChatGPT

Reddit was the most-cited source ChatGPT named

In our 25-query study of what ChatGPT cites, Reddit was the #1 source on every query. Buyers and sellers both trade marketplace recommendations in community threads, so absence there is absence from the answer.

5 of 713

cited domains shared across all four engines

Each engine reads a different set, and your buy-side and sell-side answers read different sources again, so a single-engine, single-side view misleads twice over.

37.9%

of AI-cited pages rank in the organic top 10

Ahrefs, 4 million AI Overview citations, March 2026. A roundup or a category page can be cited without ranking for the head term, so third-party presence matters more than raw position.

The buyer prompts that decide marketplaces

Prompt familyAn example buyer asksWhat wins the citation
Buy-side categoryBuyer wants a place to find something, no platform in mindwhere can I buy handmade [product]Placement in where-to-buy roundups plus a citable category page
Sell-side categorySeller is choosing a platform to list onbest marketplace to sell [product]A clear sell-on-us page plus presence in best-to-sell guides and seller forums
ComparisonSeller or buyer is choosing between two platforms[your marketplace] vs [rival] for sellersAn honest comparison you control, plus balanced third-party coverage
TrustBuyer or seller is checking risk before committingis [your marketplace] safe and legitReview-site standing and healthy community sentiment engines can quote
FeesSeller is price-qualifying the platform[your marketplace] seller fees comparedA plain, current fees page and accurate third-party fee comparisons
NicheBuyer or seller wants the platform for a specific nichebest marketplace for vintage [category]Own one niche clearly so you are the obvious answer for it

Example prompts are illustrative of each family; run your own category, rivals and personas to build the real set.

Which engines matter for marketplaces, and why

  • PrimaryChatGPTWhere many buyers and sellers now ask for a platform recommendation. It names specific marketplaces and leans on roundups, reviews and community threads to justify each.
  • PrimaryGoogle AI OverviewsHeavy on shopping and where-to-buy queries, and it rides your index, so category-page SEO and product data overlap with the buy-side answer here.
  • SecondaryPerplexityCites its sources inline and rewards clear category and seller pages plus third-party coverage a user can click to verify.
  • SecondaryGeminiPulls from Google's shopping and knowledge surfaces, so your marketplace's product and merchant footprint feeds its buy-side answer.

Who AI reads for marketplaces answers

  • reddit.comCommunityThe #1 source ChatGPT cited across all 25 queries in our Reddit study. Buy-side and sell-side subreddits both trade marketplace recommendations.
  • where-to-buy roundupsListicle'Best places to buy X' guides on editorial sites decide the buy-side category answer for a niche.
  • best-to-sell guidesListicle'Best marketplaces to sell X' guides and seller blogs decide the sell-side answer, and are a distinct source set from the buy-side.
  • review sitesReview siteTrustpilot and platform-review sites carry the safety and legitimacy sentiment that trust prompts quote.
  • youtube.comVideo reviewsSeller how-to and platform-review videos get quoted, especially on the sell-side, where creators walk through the experience.
  • your category and seller pagesOwnedYour own pages get cited when a category or sell-on-us page states the answer plainly with schema, but they are one voice among many.

These source patterns trace to our four-engine AI Citation Study; re-check them as the category moves.

marketplaces-specific moves

  • Run two prompt sets, one per sideBuyers and sellers ask different questions and read different sources. Track and win them separately, because a platform strong on one side is often invisible on the other.
  • Earn placements in the roundups on each sideWhere-to-buy guides win the buyer; best-to-sell guides win the seller. Get listed, accurately, in both, because these listicles were the largest citation source in our study.
  • Keep the trust sentiment healthyIs-it-safe and is-it-legit prompts are decided by review sites and community threads. Manage that record and fix the recurring complaint at its source.
  • Own one niche clearlyA general 'marketplace' is the obvious answer for no specific prompt. Being the clear platform for one category or one kind of seller is how you enter a shorter, winnable shortlist.

AEO for a marketplace means getting your platform named in two different AI answers: the one a buyer sees when they ask where to find something, and the one a seller sees when they ask where to sell it. Prefer (our product) tracks both answers on ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, with buy-side and sell-side prompts side by side. A two-sided platform lives or dies on both sides, and AI treats them as separate questions with separate sources. The buyer’s answer is assembled from where-to-buy roundups and shopping communities; the seller’s from best-to-sell guides and seller forums. Win one and you can still be invisible on the other.

Those sections map where you stand on both sides: the buy-side and sell-side prompt families, which engines matter, and who AI reads for each. The honest headline from our four-engine study is that third-party and community sources carry more weight than your own pages, so most of the work is off your domain and doubled across two audiences. What follows are the plays, in the order a marketplace starting from low visibility should run them.

The plays that win both sides of a marketplace#

Play 1
MarketplacesStart here

Run two prompt sets, one for each side

Track the buy-side and sell-side prompts separately across every engine, because they read different sources and a platform strong on one side is often absent on the other.

Why it works

Engines barely overlap (5 of 713 cited domains were shared by all four in our study), and your two audiences read different sources again, so a single combined view hides the side where you are losing. Buyers and sellers each get their own answer, built from their own pages. (Prefer AI Citation Study, checked 2026-07-10)

Steps
  1. Write a buy-side set (where to buy or find X, best place to buy X, best marketplace for a niche).
  2. Write a sell-side set (best marketplace to sell X, platform vs platform for sellers, fees compared).
  3. Run both across ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude on a schedule.
  4. Log, per side and per engine, whether you are named and which sources each answer cited.
Tools A cross-engine monitoring setup. Prefer automates this
Effort Set up once, then runs on a schedule (estimate)
Time to impact Immediate visibility; the fixes take longer (estimate)

Done when: You have a per-side, per-engine record of where you are named and what each answer cites.

Verify it worked: Pull the log and confirm you can see your buy-side and sell-side standing separately.

Common failure mode: Tracking only the brand name or only one side. The side you ignore is usually the one quietly losing users.

Play 2
MarketplacesCategory prompts

Win the roundups on each side

Get your platform listed, accurately, in the where-to-buy guides that win buyers and the best-to-sell guides that win sellers.

Why it works

Roundups were the single largest citation source in our study (independent listicles took 40% of 1,237 citations, more than any own-site), and for a marketplace there are two separate sets of them. One accurate placement in the right guide can put you into an answer your own pages cannot win. (Prefer AI Citation Study, checked 2026-07-10)

Steps
  1. List the where-to-buy and best-to-sell roundups that get cited when you run each prompt set.
  2. Note which omit you or list you under the wrong niche, and prioritize those.
  3. Pitch each writer with a specific, checkable reason to include you for a category, not a generic pitch.
  4. Offer corrected details and a recent stat where a guide is outdated.
Tools Your target-prompt lists; email. Free
Effort Ongoing outreach, a few hours a week (estimate)
Time to impact Weeks to months per placement (estimate)

Done when: You are accurately listed in the top roundups on both the buy-side and the sell-side for your main niches.

Verify it worked: Ask a buy-side and a sell-side prompt and check whether the roundups they cite now include you.

Common failure mode: Winning only the buy-side guides. Sellers read a different set, so the sell-side answer stays with your rival.

Play 3
MarketplacesTrust prompts

Answer the trust question at its source

Keep the safety and legitimacy sentiment healthy on the review sites and community threads engines quote, because both buyers and sellers check it before committing.

Why it works

For a platform, is-it-safe and is-it-legit are high-stakes prompts, and they are decided by review-site aggregate sentiment and community threads, not your own reassurances. A single recurring complaint repeated by an engine can cost you users on both sides.

Steps
  1. Find the is-it-safe and is-it-legit prompts and log what each engine says and cites.
  2. Manage your Trustpilot and platform-review record, and respond to the substantive complaints.
  3. Identify the one recurring criticism and fix it at the source (a policy, a support gap, a scam vector).
  4. Take part honestly in the community threads that shape the sentiment, as a disclosed participant.
Tools Your trust-and-safety and support teams; review platforms. Low cost
Effort Ongoing (estimate)
Time to impact Slow: sentiment shifts over months (estimate)

Done when: The trust prompts return an accurate, healthy answer with current sources.

Verify it worked: Re-run 'is [your marketplace] safe' monthly and check the sentiment and sources have improved.

Common failure mode: Answering trust concerns only on your own site. Engines quote the third-party sentiment, so fix it there.

Play 4
MarketplacesNiche prompts

Make your category and seller pages citable

Give your top category pages and your sell-on-us page answer-first structure and schema, so they can be the cited source for niche buy-side and sell-side questions.

Why it works

Your own pages will not win the broad prompts, but for a specific niche a clean, well-structured category or seller page can be the source an engine lifts, especially on the buy-side where it overlaps with shopping SEO.

Steps
  1. Rewrite your top category pages to open with a self-contained answer to the niche buy-side question.
  2. Give your sell-on-us page a plain, current answer to 'why sell here', with fees and terms stated.
  3. Add Product, Offer and FAQPage schema where it fits, kept consistent with the visible page.
  4. Confirm the AI crawlers are allowed to reach these pages in robots.txt.
Tools Your CMS; a schema generator. Free
Effort Ongoing, a page at a time (estimate)
Time to impact Weeks per page, after re-crawl (estimate)

Done when: Your top niche category pages and sell-on-us page open with a liftable answer and carry valid schema.

Verify it worked: Ask a niche buy-side and sell-side question and check whether your pages are cited.

Common failure mode: Category pages that are just a grid of listings with no answer. A model cannot lift a recommendation from a filter, so it quotes a roundup instead.

How this fits your existing SEO and growth#

None of this replaces your marketplace SEO or your two-sided growth work; it extends both into the answers where buyers and sellers now start. The same category and seller pages often serve search and AI, but AEO rewards third-party corroboration and healthy trust sentiment over keyword coverage, and it doubles because you are winning two audiences. Because most of these prompts have near-zero Google volume, judge the work by citation share on each side, not by rank.

For the full method behind these plays, from the audit to the off-page work that earns most citations, start with what AEO is, or browse every AEO-by-business-model playbook to compare your model with the others.

A worked example

Etsy

A clear category association (handmade and vintage) is illustrative of how owning a niche makes a marketplace the obvious buy-side and sell-side answer for it.

Reverb

A focused single-category marketplace (music gear) shows how a narrow niche wins both the where-to-buy and best-to-sell prompts for that category.

Faire

A wholesale two-sided platform illustrates the sell-side problem, where the answer is won in retailer and brand communities, not consumer shopping sources.

Named brands are public, illustrative examples of the category, not customers or endorsements.

See it in the productPrefer for marketplacesNew to AEO?What is answer engine optimization?The full playbook for winning AI citations, from audit to off-page work.

Sources

  1. Prefer AI Citation Study, who gets cited in AI search (1,237 citations, four engines)
  2. Ahrefs, AI Overview citations vs top-10 rankings (March 2026)
  3. Prefer Reddit study, Reddit is the most-cited source ChatGPT names in AI search

People also ask

  • How do marketplaces get recommended by AI assistants?
  • Which prompts should a marketplace track for AI visibility?
  • Which sources do AI engines cite for where to buy or sell something?
  • How does a two-sided platform win both buyers and sellers in AI answers?
  • How is AEO different from SEO for a marketplace?

Frequently asked questions.

Updated 30 August 2026

Which prompts should a marketplace track for AI visibility?

Both sides, and Prefer tracks them for you on ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. Buy-side: where can I buy or find X, best place to buy X, best marketplace for a niche. Sell-side: best marketplace to sell X, platform A vs platform B for sellers, marketplace fees compared. Plus the shared trust family: is X safe, is X legit. Most platforms watch only their brand name; the buy-side and sell-side category prompts are where new users on each side first meet you.

Which sources do AI engines cite for where to buy or sell something?

Independent and community sources first, then platforms' own pages. In Prefer's four-engine study of 1,237 citations across categories, independent listicles took 40% of citations and own sites 34%. For marketplaces that means where-to-buy and best-to-sell roundups, community threads, and review sites usually decide the answer before your own category or seller pages do. Prefer shows which of these each engine cites for your buy-side and sell-side prompts.

How does a two-sided platform win both buyers and sellers in AI answers?

By treating them as two separate AEO problems that share a brand, and tracking each side's prompts in Prefer. The buy-side answer is won in shopping and where-to-buy sources; the sell-side answer is won in seller guides and forums. The two rarely share sources, so a platform strong on one side can be invisible on the other. Track both, win the roundups and communities on each, and keep the trust sentiment healthy, because both a buyer and a seller check whether the platform is safe before committing.

How is AEO different from SEO for a marketplace?

SEO earns rankings for your category and seller pages; AEO earns a citation inside an AI recommendation on each side of the platform. Prefer measures that by citation share on each side on five engines, not by rank, because most where-to-buy and best-to-sell prompts have near-zero Google volume. The same pages often serve both, but AEO rewards third-party corroboration, trust sentiment, and clean category and seller content over keyword coverage.

Get your free AI visibility report
in about 10 minutes.

See how answer engines describe your brand today, and where the openings are to outpace the competition.