AI Visibility

Know exactly where you show up in AI answers

Every monitored prompt, run against all five engines, with visibility, position, mentions, sentiment and share of voice. And the full answer sitting behind each one.

Ten minute setup. The first scan starts as you finish the wizard.

Your brand over timeper scan run

Visibility score

61%

↑ 39 pts
Northlane
Everline
Portside

All

Major platforms, every prompt

Published

How the score is calculated

All time

History retained

Per market

Country and language

Overview

One home for whether AI is recommending you

Visibility, share of voice, citations and cited pages for the latest scan, with the change since the run before it. It is the first screen after onboarding and the one most teams keep open.

  • Visibility score, share of voice, citations and cited pages
  • Top brands, distribution by LLM, mentions by country, source distribution
  • All chats with the answer receipt behind every one
Overviewlast 30 days

Visibility

61%+12

Topic coverage 68% · Mention strength 52%

Share of voice

31%+9

Of all brand mentions in your answers

Citations

741+64

Cited pages 92 · Prompts 248

Prompts

Every monitored question, and how you do on it

The Prompts table is the working surface. One row per question, showing what happens when someone actually asks it. Archive the ones you do not care about, open a row for the full drill-in, or start an article straight from it.

  • Visibility, position, mentions, sentiment, volume, intent, share of voice
  • Web search activity and location per prompt
  • Write article from any row, carrying the evidence with it
Prompts248 monitored
PromptVisibilityPosSOVVolume

best analytics platform for ecommerce

CommercialPositive
82%
1.438%18.4k

shopify analytics alternatives

ComparisonPositive
64%
2.127%11.2k

how to attribute ecommerce revenue by channel

InformationalNeutral
41%
3.614%6.7k

cheapest analytics tool for small stores

CommercialNeutral
12%
5.24%2.8k

is GA4 good for ecommerce

Comparison
0%
n/a0%4.2k

Receipts

Every number opens into the answer behind it

This is the part we care most about. A visibility percentage you cannot inspect is a number you have to defend without evidence. Click any metric and you get the stored response, with brands and citations marked up in place.

  • Full answer text stored for every run, kept for the life of the project
  • Brand and competitor mentions highlighted where they appear
  • Every citation captured, typed and linked
Answer receipt
ChatGPTGoogle AI OverviewsGeminiPerplexityClaude

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

3
1g2.com/categories/ecommerce-analytics
2northlane.com/pricing
3reddit.com/r/ecommerce
MentionedPosition 1Positive2 competitors

Trend

A score you can explain

Visibility is 55% topic coverage and 45% mention strength, where mention strength compares your mentions against the median competitor. We publish the formula because a metric nobody can explain does not survive its first executive review.

  • Compare any two periods, or any two brands, on the same chart
  • Per scan run rather than per calendar day, so points map to real evidence
  • Competitor lines on the same axis, from the same runs
Your brand over timeper scan run

Visibility score

61%

↑ 39 pts
Northlane
Everline
Portside

Also included

The details that decide whether the number is trustworthy

Most of the difference between AEO tools lives in the boring parts. These are ours.

Distribution by LLM

Mentions and cited pages split by engine. You can lead on Perplexity and be invisible on Gemini, and a blended number would hide it.

Mentions by country

Region is passed to the engines as a real parameter, not applied as a filter afterwards. Change the market and the next scan asks from there.

Prompt detail

Open any prompt for its volume, retrievals, brand visibility, top brands, sources, related search terms and every captured chat.

Topics and tags

Group prompts into topics and tags, then filter every chart by them. The blended number is rarely the useful one.

Suite filters

Region, engines, brands, topics and date range apply across every module at once, so you never compare two differently scoped screens.

Mentions we can prove

We never ask the model how many times it named you, because it overstates badly. Every mention is counted against the answer text itself.

Under the hood

A scan is six stages, and you can watch each one land

Modules shimmer stage by stage rather than waiting for the whole run, so the dashboard is useful before the scan is finished.

Campaign scanstage progress
Track
248 prompts × 5 engines
Competitors
12 brands seeded
Sentiment
scoring answers
Graph
entity + URL graph
Opportunities
5 detectors
Health
visibility score

Modules fill in as stages land, so the dashboard is useful before the run finishes.

Distribution by LLM
ChatGPTChatGPT Search
68%
Google AI OverviewsGoogle AI Overviews
54%
GeminiGemini
41%
PerplexityPerplexity
72%
ClaudeClaude
59%

Read from the real app wherever an engine has one, so you see what your customers see. Every engine is labelled with how it was captured.

Mentions by country
United States
412
United Kingdom
186
Germany
121
Australia
74
Canada
58

Region is a real engine parameter, not a filter applied afterwards.

Coverage

The platforms your buyers actually use, and how close each capture is to the real thing

One prompt set, run against every platform on every scan. Where an engine has a real app we read it there, exactly as your customers see it. Where it does not, we go through the model directly, and we label which is which rather than implying every engine is measured the same way.

ChatGPT

ChatGPT Search

As customers see it

Read off the real ChatGPT web interface, not the API. You see the answer your customer sees, with the same ordering, the same citations and the same product blocks.

  • Typed UI blocks: text, tables, navigation lists, products, local businesses
  • The only engine where sponsored placements are visible
Google AI Overviews

Google AI Overviews

As searchers see it

Google's AI Mode surface, the block that answers above the blue links. This is where most of the traffic you used to get is being intercepted.

  • Strongest region control of any engine: country and language
  • Captured from the SERP, so it matches what searchers actually get
Gemini

Gemini

As customers see it

Also read off the real consumer interface. Gemini reaches everyone on Android and inside Google Workspace, and it cites differently to AI Overviews despite being the same company.

  • Same typed UI blocks as ChatGPT
  • No region targeting today, so we report it as a single global view
Perplexity

Perplexity

Via the model API

The most citation-dense engine in the set. If a page is relevant to a question, Perplexity will usually find it, which makes it the best early read on whether a new page is working.

  • Grounded in web search by construction, so answers always carry sources
  • Runs live on every scan, because it has no queue endpoint
Claude

Claude

Via the model API

Heavily used by technical and professional buyers. Captured through the API rather than the consumer app, so we label it as an approximation instead of pretending otherwise.

  • Runs on the model version Anthropic serves by default, so it moves when they do
  • No sponsored placements and no consumer UI blocks on this surface

Find out what AI says about you

Add your domain and see your first visibility report today. No credit card, no sales call to get started.