For PR & brand teams
See the story AI tells about you
Models repeat what they read. Recited AI shows you how the answers frame your brand, how that moves scan to scan, and which sources are doing the shaping.
Rank in category
#2
Sentiment
Performance matrix · topic × engine
Every
Mention scored for tone
Topic × engine
Where the framing differs
Cited
Sources behind each answer
Per market
Country and language
The problem
Your press release is now training material
A model does not read your messaging doc. It reads whatever ranked, whatever a journalist wrote, whatever a competitor published about you, and it synthesises all of it into one confident paragraph that a lot of people will accept as fact.
- Read the paragraph your buyers actually get, from each engine
- Rank in category, with the change since the previous scan
- Sentiment split across every mention: positive, neutral, negative
Rank in category
#2
Sentiment
Performance matrix · topic × engine
Evidence
Every score opens into the answer that produced it
Sentiment is scored during the scan from the stored answer text, not from a separate opinion about your brand. When the number moves you can open the answers that moved it and read them yourself.
- Full answer receipts on every data point
- Brand and competitor mentions highlighted where they appear
- Citations captured alongside, so you can see what informed the framing
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
3Attribution
Find out which coverage the models actually read
Not every placement lands. Some pages get cited constantly and shape everything the engines say about your category. Others are never retrieved by anything. Citation data tells you which is which, and it is frequently not the one you paid for.
- Every domain and URL cited in answers about your category, ranked
- Each source typed: editorial, listicle, discussion, comparison, profile
- Retrievals over time, so you can see a placement's influence build or fade
Retrievals
4,234
Context
Perception only means something in comparison
Being described as expensive matters only if your competitors are not. Every metric here works for tracked competitors on the same axes and from the same runs, so the comparison is genuinely like for like.
- Any tracked brand charted next to yours on the same metric
- Sentiment compared brand against brand, not against a vague average
- Rank and sentiment per market, because framing differs by country
Region is a real engine parameter, not a filter applied afterwards.
Also included
Built for the team that owns the story
Sentiment tracking a communications lead can actually take into a meeting, with the evidence attached.
Sentiment by prompt
Tone at the level of the individual question, so you know which conversation is the problem rather than that there is one.
Mention activity
How often you are named at all, across runs. Volume and tone are separate problems with separate fixes.
Performance matrix
Topic against engine, so a weak spot is a specific cell you can go and work on rather than a general worry.
Source type mix
Whether your category is decided by editorial, by review directories or by forum threads. Each implies a different programme.
Placement targets
Gap analysis ranks the sources competitors ride in on that you are absent from, scored by how much winning one is worth.
Movement you can see
Rank and sentiment tracked per scan run, so a shift after a launch or a story is visible rather than anecdotal.
Two more views
What shapes the narrative, and what people ask about you
Source type mix tells you where the category is decided. Related searches show the questions engines generate about your brand while answering something else.
Searches captured
4,912
best ecommerce analytics tools 2026
northlane pricing
everline vs northlane
shopify analytics app reviews
ecommerce attribution software
Read how AI describes you
Run a scan and see your rank, your sentiment split, and the answers and sources behind both.