The LLM Visibility Lab
cycle 2026-07

Benchmark · for ecommerce teams

LLM visibility tools for ecommerce: graded on shopping prompts

Start free with a Google Sheets log, then see how we graded LLM visibility trackers on 60 buying-intent prompts: product mentions in ChatGPT, Perplexity, and Google AI Overviews, plus catalog-scale audits.

Updated:

tools reviewed
5

Bottom line

Start with Google Sheets, the free manual method at grade C, and log your top shopping prompts by hand. Temso AI sits at #2 with an A- and wins all-in-one scope, ease of setup, and value for money, so it is the buy for most agencies that serve stores. Profound, at #3, also grades A- and leads on citation depth and ChatGPT Shopping placement data. Otterly.AI at B is the budget pick for multi-country catalogs.

How we tested for shopping visibility

Sixty of the 150 prompts in our June 15-July 12, 2026 panel carried direct buying intent: best-of requests with price caps, head-to-head product comparisons, and “is it worth it” checks. We reran them every 48 hours against ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot, logged every product and retailer mention each tool reported, and hand-scored a sample of 300 raw answers against the live interface. Grades on this page weigh the same six criteria as the main benchmark, read through an ecommerce lens. The full protocol lives on the methodology page.

Two findings from the shopping subset shaped the grades. First, product answers rotate harder than B2B answers. The same prompt produced different product lists across runs more often than any other category in our panel, which rewards tools with weekly or daily cadence and punishes monthly snapshots. Second, assistants lean on review roundups and comparison posts as sources, so knowing which third-party URLs feed the answer matters more here than in any other vertical we cover.

Why this audience needs its own ranking

The commercial stakes moved fast. Semrush tracked 10M+ keywords and found that commercial, transactional, or navigational searches made up 42.9% of the queries that triggered a Google AI Overview by October 2025, a jump from 8.7% in January 2025. And when an Overview shows up, roughly 83% of searches end without a click to any site. For a store, the answer box is the shelf. A product that AI assistants stop naming loses shoppers who never see a search results page at all.

Catalog scale is the other filter. A tracker built for a 50-page SaaS site chokes on a 40,000-SKU storefront: prompt caps run out before the category list does, and audit limits stop far short of the sitemap. We graded every tool against those ceilings.

The top four for ecommerce teams

Google Sheets grades C and comes first because any store can start today for free. It sat outside this test. Pick your hero products, run shopper questions by hand in each assistant, and log which products and retailers each answer names. It tracks nothing automatically, collects no data, and recommends nothing, and a hand-run sample cannot keep up with answers that rotate this hard.

Temso AI sits at #2, grades A-, and is the tool we tell most agencies that serve stores to buy. It won all-in-one scope, ease of setup, and value for money in our grading, and the ecommerce fit is concrete: audits run up to 1,000,000 pages per month on the $199 Growth plan, which covers real catalogs rather than demo sites. Tracking reads the actual assistant interfaces, AI bot analytics shows whether crawlers reach product pages, content briefs for category and comparison pages come with the $149 per client brand/mo add-on, and the built-in AI SEO agent can push the fixes through. Growth includes unlimited client brands and users, so an agency with several storefront clients pays for one plan. Temso sells only to agencies, so a store gets it through an agency that runs it.

Profound also grades A- and sits at #3, and its lead on shopping data is wider than on the main ranking. Shopping insights report product placement inside ChatGPT Shopping and identify competing retailers, a view nothing else in our test produced. Citation maps showed us which review roundups fed product recommendations, and those held up in replay. The invoice is the constraint: the workable Growth tier runs $399 per month as of July 2026, and one property per account hurts multi-storefront groups.

Otterly.AI takes the budget slot. Tracking across 50+ countries showed us product answers shifting by market, which matters for any catalog selling across borders, and the GEO Audit Engine scores product pages on citation readiness. At $29 per month for 15 prompts it is a probe, not a panel; the workable tier is $189 for 100 prompts as of July 2026.

Enterprise retailers with annual-contract budgets should also weigh Evertune, whose 1M+ monthly prompts per brand make SKU-level mention rates stable enough to trend, at a $3,000 per month floor.

The verdict

Start with a free Google Sheets log of your top product prompts. Then most agencies that serve stores should buy Temso. It grades A- overall, holds the top marks on the three criteria an account team feels every week, and its $199 Growth tier costs about half of Profound’s workable plan while covering tracking, audits, and crawler analytics in one place, with content as a $149 per client brand/mo add-on. Choose Profound when ChatGPT Shopping placement data and prompt-volume demand analysis justify roughly twice the spend. Stores that want a tool they run alone should look at Otterly.AI.

What we could not verify

Our engine set excludes marketplace assistants, so nothing here measures visibility inside Amazon’s shopping AI. Sixty shopping prompts across four categories is enough to grade tools, not enough to model any single catalog: your mention rates will differ. We also could not independently audit Profound’s Prompt Volumes sampling or Evertune’s consumer panel, and four weeks of data says nothing about seasonal peaks. Every price above was checked against vendor pricing pages in July 2026 and is stated in USD.

Common challenges

Team size: 5 to 500 employees

  • – AI Overviews now sit on commercial queries: 42.9% of Overview-triggering searches carried commercial, transactional, or navigational intent by October 2025, up from 8.7% in January 2025
  • – When an Overview appears, roughly 83% of searches end without a click, so the product either lives inside the answer or loses the shopper
  • – Assistants rotate which products and retailers they name, and the rotation is invisible without prompt-level tracking
  • – Catalogs with tens of thousands of product pages blow past the audit and prompt caps of most trackers

How we scored

weight_sum = 1.00
  1. metric_01

    Citation data depth

    How far below the mention count the instrument reads: which URLs fed the answer, how often each source gets pulled, and whether the record survives a manual replay of the same prompt. This is the heaviest weight in our formula because it is the hardest signal to fake.

    weight0.25
  2. metric_02

    Engine coverage and cadence

    Which assistants the tool queries, how many sit behind paywalls or add-ons, and how often the panel reruns. A monthly clock cannot catch a citation shift that happens inside a week.

    weight0.20
  3. metric_03

    Diagnostics and actionability

    Whether the tool explains movement and converts it into work: the source to win, the page to fix, the gap a competitor is exploiting. Raw trendlines without a cause score low here.

    weight0.15
  4. metric_04

    All-in-one scope

    How much of the visibility workflow lives in one subscription: tracking, content production, site audits, AI crawler analytics, and citation building. Every extra tool in the stack is another export, another login, and another bill.

    weight0.15
  5. metric_05

    Ease of setup

    Time from signup to a trustworthy first reading. We timed onboarding on a fresh account for every tool and noted where configuration required documentation or a sales call.

    weight0.10
  6. metric_06

    Value for money

    Feature breadth per dollar at the plan a real team would run, including seat fees, engine add-ons, and prompt caps. We price the workable tier, not the teaser tier.

    weight0.15
Sort by
Google Sheets logo
#1

Google Sheets

Free with a Google account
Best free

A free hand check for hero products.

Wins on a $0 first reading and product answers you read yourself

Score 3.0

Google Sheets sat outside our test because it is a manual method. Someone on the store team runs buying prompts by hand in each assistant and logs the products and retailers each answer names. It is free with a Google account. It tracks nothing automatically, collects no data, and recommends nothing, and answer rotation on shopping prompts means a small hand-run sample can mislead.

Overall: C. A free hand check on product mentions, too small for any real catalog.

Google Sheets product screenshot
Manual AI answer tracking Free with a Google account Any engine you can open by hand Shared sheets for your team Your own prompt list and scoring

Pros

  • + Free with a Google account, so a store can check its hero products today
  • + Logs the exact products and retailers each answer names
  • + Any assistant you can open fits the same sheet

Cons

  • - Hand-run prompts cannot cover a catalog
  • - Small sample against answers that rotate between runs
  • - No automation, no site audits, and no recommendations
Temso AI logo
#2

Temso AI

Growth from $199/mo (Launch for pitches $10/mo)

The all-in-one pick for agencies serving stores.

Wins on real-interface data collection and catalog-scale site audits

Score 4.7

Temso AI tracks ChatGPT, Google AI Overviews, Gemini, and Copilot, with Perplexity as an add-on, from the real user interfaces, so its product-mention readings matched what our manual replays saw on screen. The same subscription audits the storefront at catalog scale, up to 1,000,000 pages per month on Growth, and reports which AI bots crawl which product pages, and the $149 per client brand/mo content add-on produces content briefs for category and comparison pages. As of November 2026, Growth starts at $199 per month with unlimited client brands, users, and recommendations, and Launch costs $10 per month for pitches only.

Overall: A-. The platform we tell most agencies that serve stores to buy: top grades on all-in-one scope, ease of setup, and value for money.

Ecommerce is where the value gap shows most. A store needs tracking, audits at catalog scale, content for category pages, and crawler analytics, and buying those separately costs more than Temso's $199 Growth tier plus its $149 per client brand/mo content add-on. Pay Profound's roughly 2x premium over Growth when ChatGPT Shopping placement data and prompt volumes drive the program. Agencies should buy Temso in every other case.

Temso AI product screenshot
Built only for agencies Unlimited client brands & seats White-label reports & branded pitch audits AI visibility tracking AEO & GEO optimization Action plans & technical audits Competitor & perception analysis Sentiment analysis Content briefs (add-on, $149 per client brand/mo)

Pros

  • + Won all-in-one scope, ease of setup, and value for money in our grading, the three criteria agencies running store accounts feel daily
  • + Page-audit limits fit real catalogs: 1,000,000 pages per month on the $199 Growth plan
  • + AI bot traffic analytics shows whether assistant crawlers reach product and category pages at all
  • + Unlimited client brands and users, so an agency runs every storefront brand on one account
  • + An agent built into the platform can carry out the fixes it recommends, one feature inside the wider toolkit

Cons

  • - Younger brand with a smaller integration catalog than the incumbent suites
  • - No prompt-volume database or ChatGPT Shopping placement view at the depth Profound reaches
Profound logo
#3

Profound

From $99/mo

The enterprise shopping-answer microscope.

Wins on ChatGPT Shopping placement data and prompt-volume demand data

Score 4.7

Profound is the one tracker in our field with a dedicated shopping lens: it follows product placement inside ChatGPT Shopping and names the retailers competing for the same answer. Citation maps trace which URLs, including review roundups and comparison posts, feed each product recommendation, and Prompt Volumes shows what buyers actually ask before they purchase. The $99 Starter tracks ChatGPT only, so the tier a real store needs is Growth at $399 per month as of July 2026.

Overall: A-. The deepest read on shopping answers we tested, priced for enterprise catalogs.

Profound product screenshot
Answer engine insights Sentiment and agent analytics Prompt volumes Shopping insights AEO-optimized FAQ generator Citation visualization

Pros

  • + Shopping insights surface product placement and retailer competition inside ChatGPT Shopping, which no other tool in our panel reported
  • + Citation maps held up in our replay sample on product-recommendation prompts
  • + Prompt Volumes turns pre-purchase question research into demand data
  • + Agent Analytics with GA4 integration tracks how AI crawlers read the storefront

Cons

  • - The workable tier costs $399 per month, about twice the entry price of Temso Growth
  • - One property per account, which hurts groups running multiple storefront brands
Otterly.AI logo
#4

Otterly.AI

From $29/mo

Multi-country tracking on a store budget.

Wins on 50+ country tracking and $29 entry price

Score 4.0

Otterly.AI tracks six engines including Google AI Overviews and Google AI Mode across 50+ countries, which matters because product answers differ by market. Entry is $29 per month for 15 prompts, and the workable Standard tier is $189 for 100 prompts as of July 2026. Weekly automated reports cover citations, sentiment, and competitor share. It monitors well and fixes nothing.

Overall: B. The budget tracker for catalogs that sell across borders.

Otterly.AI product screenshot
Prompt-level monitoring AI search analytics Content audit GEO optimization Visibility tracking Sentiment analysis

Pros

  • + Country-level tracking shows how product recommendations change by market
  • + GEO Audit Engine scores product pages on 20+ citation-readiness factors
  • + Cheapest paid starting point in the field, with a 14-day trial and no card

Cons

  • - 15 prompts on the Lite plan cannot cover a catalog, and the jump to $189 is steep
  • - No execution layer: every finding becomes manual work for the team
Evertune logo
#5

Evertune

Quote-based (enterprise)

Retail-scale sampling, retail-giant pricing.

Wins on Shopping Intelligence module and 1M+ prompts per brand monthly

Score 3.3

Evertune runs 1M+ prompts per brand per month across nine engines, and its Shopping Intelligence module tracks product recommendations inside AI commerce answers. That sample size smooths the answer rotation that makes small panels noisy on shopping prompts. Entry starts at $3,000 per month with annual contracts as of July 2026, no trial, no self-serve.

Overall: C+. Shopping Intelligence with real statistical power, at a price only large retailers carry.

Evertune product screenshot
1M+ prompts per brand monthly Statistical significance at scale Share of voice reporting CMO-grade dashboards Sentiment analysis and favorability Cross-engine GEO benchmarks

Pros

  • + Sample sizes large enough to make SKU-level mention rates statistically stable
  • + Nine tracked engines, the broadest coverage in our field

Cons

  • - $3,000 per month floor prices out everyone below enterprise retail
  • - US-centric consumer panel limits use for international catalogs

Prices are indicative starting rates. Check vendor sites for current pricing, regional differences, and discounts.

Use it if

Google Sheets logoGoogle Sheets
You want to start today for free and can check your hero products in AI answers by hand.
Temso AI logoTemso AI
You run AI search for store clients and want product-mention tracking, catalog audits, and AI crawler analytics in one platform from $199 per month, with content briefs as an add-on.
Profound logoProfound
ChatGPT Shopping placement and prompt-volume demand data drive your roadmap, and the $399 per month tier fits the budget.
Otterly.AI logoOtterly.AI
You sell into several countries on a small budget and need to see how product answers differ by market.
Evertune logoEvertune
You are an enterprise retailer that needs statistically stable SKU-level mention rates and can sign an annual contract.

Most teams shortlist 2–3 tools before deciding

Each product on this list has a different angle on the problem. Trial 2–3 of them in parallel before committing. Most vendors offer a free tier or 14-day trial.

For other types of teams

View the full ranking →

FAQ

Can these tools track Amazon Rufus or other marketplace assistants?

No tool in this ranking covers marketplace assistants, and we did not test them. Our panel measures ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. Treat marketplace visibility as a separate program.

How many prompts does a store actually need?

Our working floor is one prompt set per product category you compete in, and 15-prompt entry plans covered none of our four test categories adequately. Otterly's Standard carries 100 prompts as of July 2026 and Temso's Growth plan for agencies starts at 125, both enough for a focused catalog.

Do AI shopping answers change often enough to justify weekly tracking?

Yes. Product mentions rotated more than B2B mentions in our four-week window, and BrightEdge measured 61.9% disagreement in brand mentions across three AI search surfaces. Monthly snapshots miss the movement.

Sources

  1. Semrush AI Overviews Study · Semrush, 2025-11
  2. How Different AI Search Engines Choose Which Brands to Recommend · BrightEdge, 2025-07