QIVO Global helps AI read your company the way you define it, so buyers don’t pass you over for the wrong reasons.
In G2's 2026 survey of 1,076 B2B software buyers, 69% said AI chatbot guidance led them to choose a different vendor than planned. If AI misreads what your company does or where it belongs, potential buyers may overlook you before you even know they were looking.
Our October research found gaps in how AI described or recommended four B2B SaaS companies. See the evidence →
Video · 60 seconds · coming soon
Silvia Stolarcikova, Founder · 20+ years in brand strategyLinkedIn ↗
Why AI gets you wrong
AI reads far more than your marketing.
Your company is described on product pages, in reviews, in partner listings, in press and in old content that never went away. A buyer can ask what you actually do. AI does not ask. It resolves the ambiguity on its own, and the reading it gives may not be the one you chose. Updating one page rarely changes that. We see three patterns most often.
01
Fragmentation
Sales, marketing, product and partners each describe a different part. AI cannot tell which description leads.
02
Wrong hierarchy
A secondary feature, or the company you used to be, carries more weight than what defines you today.
03
Wrong relationship
The facts are right. The conclusion is wrong. A Salesforce integration becomes the defining product. An analytics platform is presented as a CRM.
More visibility will not fix a definition problem.
Where we fit
Being found by AI is not the same as being read correctly.
SEO, AEO, GEO and SIS do different jobs. Buyers should ask three different questions. We focus on the third.
Visibility tools
Does AI mention you?
Mentions, citations, share of voice.
Accuracy tools
Are the facts right?
Claims, prices, features checked one by one.
QIVO Global
Does AI read your company right?
Category, hierarchy and relationships. Every fact can be correct while the company is still read wrong.
What we build
A Semantic Identity System. A structure AI can read.
QIVO Global builds Semantic Identity Systems (SIS). An SIS starts from the definition your leadership approves: what the company is, what it offers and where it belongs. It sets which description leads, how products relate to the company, and which evidence should carry the most weight. Then it aligns your signals to that structure, and we test how AI reads the result.
What you receive
A leadership-approved company definition.
A clear map of product and category relationships.
A prioritised plan for source changes, with an approach to third-party sources.
Rules for maintaining the structure as the company evolves.
Leadership-approved identityWhat the company is, what it offers, where it belongs
AI readings, tested over timeObserved answers checked against the intended identity
Illustrative structure.
A clear definition gives a new product its place. A weak one turns it into a competing identity.
What the work looks like
Illustrative deliverable · Fictional company, not client work
1 · What the sources say
Example Co., four descriptions
Website: revenue analytics platform
Review site: listed under CRM software
Partner listing: a Salesforce add-on
Older press: sales reporting tool
2 · The approved definition
"Example Co. is a revenue analytics platform for B2B sales teams."
Leads with: revenue analytics
Products: Forecasting and Pipeline Insight, both part of the platform
Salesforce: an integration, not the product
Not: a CRM
3 · Source-by-source plan
Change, owner
Homepage and About: lead with the approved definition. Marketing.
Review site: request a move to revenue analytics. Product marketing.
Partner listing: describe Salesforce as an integration. Partnerships.
Newsroom: current boilerplate on every release. Communications.
A simplified extract. No results are shown, because this company does not exist.
How we work
Before you build, test the ground.
Three phases. The first is an assessment, and you can stop there.
01 · Assessment
Diagnostic
Test the ground.
We test the questions your buyers ask across ChatGPT, Claude, Gemini and Perplexity. You receive a documented assessment of how AI represents your company, where it diverges from your intended identity, and why it matters for buyers. We review it with you, so you can decide whether deeper work is warranted.
Typically 1 to 2 weeks. If there is no material gap, we say so.
02 · Core engagement
Alignment
Build your Semantic Identity System.
We design your Semantic Identity System and direct its alignment across your sources. Your teams implement.
One approved company definition, with its hierarchy and relationships
The exact changes for the sources you control, and a plan for third-party sources
Review of agreed changes before they go live
A retest of how AI reads the company after the changes
Typically 6 to 12 weeks. Scope set after the Diagnostic.
03 · Ongoing
Governance
Build higher without collapse.
New products, markets and capabilities are added as new floors, not as competing structures. Each launch, market expansion or repositioning is checked against the system. We retest how AI reads your company and keep the system calibrated as your business and AI systems change.
What we can change, and what we cannot. We separate inconsistencies in your own sources from differences linked to search conditions. We recommend changes where the evidence supports them, then retest. We do not control whether an AI system searches, and we do not guarantee a particular answer.
AI produces the answers. We decide what they mean for your company.
Our research · October 2026
AI knew them, yet left them off the shortlist.
A real-time voice AI company
AI knows it offers live translation. Ask for live translation, and it recommends competitors instead.
An AI procurement platform
Named for procurement. Gone the moment a buyer needs accounts payable, a capability it sells.
A data infrastructure company
AI knows its free open-source tool, six answers out of six. Asked for an on-premise platform, it left the company out.
Name confusion
A marketing measurement platform
AI named its rivals correctly, yet left it out of four of four buyer shortlists. Asked what it does, it described a different product with the same name.
Exploratory study, October 2026. Four anonymised B2B SaaS companies. ChatGPT and Claude, web search on, tested from Belgium, the Czech Republic and the US. A snapshot, not a measure of lost deals.
How we read a findingOutreach · QIVO Global research, July 2026
Buyer question"What category is Outreach in, and how would you describe its current positioning?"
ObservedWithout web search, all four platforms described Outreach as a
sales engagement platform
. None mentioned its agentic AI platform. With web search, all four did.
InterpretationOutreach repositioned in April 2026 as an agentic AI platform for revenue teams. Without search, AI repeats the old category, the one used in most of its earlier press and analyst coverage.
JudgmentMaterial during the transition. A buyer who asks without live search meets the old category and the old competitor set.
What it suggestsWrong hierarchy: the former identity still leads. In this study, the current answers drew on newsroom, press wire and recent comparison content.
The data says what. Judgment says what to do.
Search does not run on every question. You do not control when it does.
One accurate answer does not show whether your positioning holds across questions and search conditions. The Diagnostic shows where the gap remains.
Part of a July 2026 study: 96 AI responses, two companies, four platforms, with and without web search. Observational. A snapshot, not a universal rule.
AI gives us answers. Experience tells us what matters.
More than 20 years in brand communication taught me how much meaning people take from context. I saw it working on brands including Unilever, Coca-Cola and Philips, and in B2B brand strategy across more than 50 markets. What you leave unsaid can be part of what makes a brand powerful.
AI is now another gatekeeper between your company and its buyers. You can no longer assume that the identity people recognise will carry into the answers buyers receive.
I founded QIVO Global to close that gap. My experience helps me judge where a company’s meaning gets lost, and how to make its identity explicit without losing what makes it distinctive.
QIVO Global is a new practice. The experience behind it is not.
