For marketing, SEO, content and brand teams
See where your brand stands inside
ChatGPT
Read the answers your buyers actually get, see who gets recommended instead of you, and find what it takes to show up ahead of them.
Receipts
Every answer kept in full, so any score can be checked
Sources
Every citation captured, typed and scored by impact
Automatic
Competitors found from your own answers
10 minutes
From signup to your first scan
The loop
From your brand to your next move
Tell us the questions worth watching. We ask every engine and read the answers back. You get the numbers, the evidence behind them, and where the room to move is.
Give us your brand, your market and your topics. We suggest the questions buyers actually ask, with AI search volume attached. Keep the ones worth owning, edit them, or bring your own.
Every prompt goes to all five engines. The scan then seeds competitors from what actually appeared, scores sentiment, syncs the source graph and refreshes the backlog. Modules fill in as each stage lands.
The scan ranks what is actually costing you mentions: a directory you are missing from, a rival gaining on a question you used to own, a topic sitting below your average. Each one names the fix, whether that is outreach, a page, or a technical problem on your own site.
Not listed on g2.com
4 rivals cited there · 312 retrievals
Everline gaining on 6 prompts
Share of voice +9 since last scan
Integrations sits below average
Topic visibility 18% vs your 61%
reddit.com/r/ecommerce cites 3 rivals
244 retrievals · you are absent
Attribution is your strongest topic
82% visibility · defend it
Platform
What other AI search platforms leave out
We turn thousands of answers, sources and searches into a picture you can read in a morning.
The answers your customers actually see
Where an engine has a real app, we read it there with our own browsers, the way your buyers do, rather than a developer shortcut that quietly returns something else. Same wording, same order, same links, same sponsored slots.
best analytics platform for a small ecommerce team
For a small ecommerce team, a few tools stand out depending on what you need most:
Northlane is usually the best starting point.[1] Setup takes minutes and the reporting is built around revenue rather than pageviews.[2]
Everline is a strong alternative if you already run a warehouse,[3] and Portside is worth a look at higher volume.
Cited sources
3The searches behind the answer
Before an engine replies, it quietly runs its own searches and reads whatever comes back. We capture those, so you can see the questions it asked itself, and whether they mentioned you, a rival, or nobody in particular.
Searches captured
4,912
best ecommerce analytics tools 2026
northlane pricing
everline vs northlane
shopify analytics app reviews
ecommerce attribution software
Where the answers come from
Engines do not invent a recommendation, they read pages and summarise them. We keep every page they read, group it by site, and rank the ones sending your competitors into answers you never appear in.
Retrievals
4,234
g2.com/categories/ecommerce-analytics
reddit.com/r/ecommerce
capterra.com/ecommerce-analytics
shopify.com/partners/directory
Ads inside AI answers
Paid slots are turning up inside ChatGPT answers. Because we read the real app, we can show you who is buying them, on which questions, and whether anyone is paying to appear next to your brand. Only placements we actually saw.
best ecommerce analytics tool
A few options are worth comparing depending on your stack:
Revenue attribution for growing stores. Free 14 day trial.
Ads seen
218
Advertisers
14
Coverage
26%
Answers change by country
Ask the same question in Berlin and Boston and you get different brands. We ask from the market you sell in, so the answers are the ones your buyers there are really getting.
No inflated numbers
Ask a model how often it mentioned you and it will happily overstate it. We count only mentions we can point to in the answer itself, so your score is the one you would get counting by hand.
Every prompt, every scan, across every major platform
Teams
Whoever owns this in your company
One scan, read a different way depending on who opens it.
Why teams switch
The work is the same. The scoreboard changed.
Content, PR and technical fundamentals still decide whether you get recommended. Only the way you measure it has to change.
Read the actual answer
Every number opens into the response the engine gave, with your brand, the competitors and every citation marked up. No metric you have to take on trust.
A score with a formula
Visibility is topic coverage and mention strength, weighted and published. You can recompute ours by hand, which matters the first time someone senior asks where the number came from.
Make the shortlist
An answer names two or three brands, not ten links. Share of voice tells you how often you are one of them, and who takes the slot when you are not.
Dashboard
Visibility
61%
Know where to spend
Each scan ends in a ranked list, and every row carries the answers and competitor pages behind it. No fresh research to start one.
See past the answer
The searches an engine ran before replying, and who paid to appear beside you. Most tools stop at the text and miss both.
Ends in a decision
Most tools stop at the dashboard. Every finding here names the work behind it, ranked by what it is worth, so the weekly review produces a plan rather than a discussion.
Pricing
Everything your brand needs to get recommended
Every plan reads the answers, names who wins them, maps the sources behind them and ranks what to do next. Price only changes how much of your market you watch.
Launch
One brand, one market
$Scale
Growing teams with more to watch
$Advanced
Multiple brands and markets
$FAQs
Frequently Asked Questions
The questions we get asked most on first calls. If yours is not here, ask us directly.