Everything feeding
one answer.
Are you in the answer when your buyers ask? Signal AIVO measures that, explains why you are not, and writes what closes the gap. Take the modules you need. Whichever parts you take, they read the same brand, the same competitor set and the same tracked questions, so a finding in one becomes an action in another.
Every module
Everything in Signal AIVO
AI Search Visibility is the one that carries it. The rest are there to give it the context to work from, and each has a page of its own.
Brand DNA
Identity, voice, vocabulary and channel tone as a specification software can follow, plus your own documents inside it.
Read moreBrand AI Assistant
Works out what is already answered, asks only about the gaps, and writes it back for the rest of Signal AIVO.
Read moreCompetitor Signals
Track competitors through their own public interfaces. Messaging, channel mix, share of voice, and the gaps nobody is filling.
Read moreSocial Signals
A broad set of sources watched by an agent that runs on its own, with sentiment, topics, share of voice, a written digest, and a filter that shows what it set aside.
Read moreAI Search VisibilityFlagship
Whether AI names your brand, why not, what to publish about it, and whether the fix worked.
Read morePlatform Assistant
One conversation across every module, and every answer names where it came from.
Read moreWhere the software stops
Automate the gathering. A person does the judging.
Signal AIVO reads, reasons and drafts, and shows its working. Every decision that leaves a mark belongs to somebody with a name.
Hand it over
Work that is repetitive, reversible, and checked before it counts.
- Watching, continuously
- First drafts
- Variations on a line you approved
- Reporting, tagging, assembly
- Alerts when something moves
Keep it human
Work where being wrong is expensive, public, or permanent.
- Positioning, and the things you will never say
- Pricing, and what you offer
- Which finding is worth acting on
- Anything a customer sees first
- Anything you cannot take back
Brand DNA
Your brand voice, written down properly
A specification precise enough that software can follow it, and that survives the people who wrote it leaving.
Voice, with worked examples
Each voice attribute carries a do and a do-not written out, so the rule is demonstrated with examples.
The words you never use
Preferred and forbidden vocabulary, applied to everything Signal AIVO writes. If your brand has never once said "unlock", that is not an accident and it should not start now.
Your catalog and your documents
Upload your product range and the material you already have, guidelines, decks, research. Read once and kept, so nobody re-explains the brand every time.
Checked before it publishes
Every caption, ad and article is screened against regulatory, platform and brand risk before it can go out, and anything doubtful is held for a person.
Brand AI Assistant
It reads what we have before it asks you
The opposite of a forty-question brand brief. It works out what is already answered, then asks only about the gaps, and writes the answers back where the rest of Signal AIVO can use them.
No question script
It works out what is already known and asks only about the gaps, which is why people finish it.
Writes back automatically
Answers land in your brand profile where the rest of Signal AIVO can use them, where they stay useful.
Bring documents mid-conversation
Drop in a deck or a research file part way through and it reads them for you.
Researches when asked
It can go and look something up about your market, which is the difference between an interview and an assistant.
Competitor Signals
A competitive deck is out of date the day it lands
Research your competitors continuously instead of once a year, across the places your competitors are actually active, and get told where the gap is.
Who your competitors actually are
It proposes the competitor set from your own brand, then you keep, cut or add to it.
Share of the conversation
How much of the category each of you owns, tracked run over run, so you see movement and not a snapshot.
Whitespace
The topics and positions nobody in the set is occupying. Usually the most useful page in the report, because it is cheaper to win an empty question than a contested one.
Strengths and weaknesses, both ways
A worked read on each competitor and on you against them.
Social Signals
The pages an engine reads before it answers
Reddit threads, review sites, comparison articles and community posts are where an assistant forms its opinion of your category. This watches them continuously and ranks them by how often each one is cited in the answers you are tracking.
Sentiment and topics over time
Movement week by week with the spike explained, and what people actually talk about grouped by theme.
Share of the conversation
How much of the category conversation is yours against the competitors the rest of Signal AIVO is already tracking.
The words your customers use
Rarely the words in your brand book, and the earliest signal that a market has moved. It reaches the people writing, while it still matters.
Gaps against your own voice
Where how people describe you diverges from how your brand says it should sound, joined up so you can see the drift.
Platform Assistant
It has read everything before you ask
Ask from wherever you are. It already holds your brand specification, your tracked questions and their history, your competitors and your website score, so you are not briefing it every time.
You ask once. It answers from everything underneath
Illustrative
You ask: why are we not named for applicant tracking for small teams?
One question, typed in plain words, where it used to take four reports open side by side.
AI Search Visibility says: named on 12 of 40 questions
The outcome. Its page audit is part of this, and it says your comparison page cannot be quoted cleanly.
Competitor Signals fed it: two rivals named instead of you
The comparison set, which is what produced the question in the first place.
Social Signals fed it: a review thread is the source
The page the engine read before it named anybody.
Brand DNA fed it: how you say you are different
So the answer is measured against your own positioning.
One outcome and the three things that produce it. Every line says which part it came from, so a number can be traced instead of trusted.
Where you stand, in words
Which tracked questions name you, which engines miss you, and what moved since the last run.
What your competitors did
Who is being named instead of you, what they published, and where they are being cited.
What is being said
The off-page sources an engine reads, and which of them mention you.
Whether your pages can be quoted
The citability audit on any page, in plain language.
And it runs the work
Start a run, draft a brief or re-check a question from the same conversation.
What Signal AIVO reads
Your results, counted in your own analytics
Connect Google Analytics 4 and Search Console, and what changes is measured in numbers your team already trusts. Your website and documents go into Brand DNA, and the answer engines are read on your behalf.
Google Analytics 4
The visits AI assistants send you, counted as often as you need. The one number the work is judged on.
Google Search Console
Rankings, clicks and impressions for the same questions, so search and AI answers sit side by side.
Read-only, and checked the moment you connect it.
How we measureAI Search Visibility
When someone asks an assistant what to buy
AI Search Visibility tracks how your brand is cited, or missing, in the answers ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews and the other assistants give to the questions your buyers actually ask. Answer Engine Optimization and Generative Engine Optimization are the names people give this work.
The work behind it is content engineering: structuring what you publish so a model can extract it, attribute it and quote it. Princeton's GEO benchmark put the lift from expert quotations at 41% and from cited sources at 40%, which is why this is engineering work.
Share of the answer: how often you are named against competitors
Illustrative
Gap found
You are not cited for "best applicant tracking system for a fifty-person company" on Perplexity. Two competitors are. A brief is ready for you to publish.
Whether you are named
Your category questions asked on a schedule across the major assistants and tracked over time, so you have a trend to watch.
Why you were not
Which sources the answer drew on, what the brands named instead have published, and how the assistants characterize you against them.
The questions nobody owns
The queries in your category where no brand has a hold yet, which is a cheaper place to win than the ones a competitor already occupies.
What to publish about it
A specific brief for the gap, structured so a model can extract it and attribute it, and written against your own brand specification.
Whether the fix worked
AI Search Visibility re-checks the question afterwards, so the loop closes on evidence.
Running on its own
The whole loop runs to a schedule behind one configuration, so nobody has to remember to check it this month.
Questions
Signal AIVO, answered
Ready to see it in action?
Live product demo. Personalized to your brand and challenges.