When buyers ask AI who to choose, is it naming you?
See what ChatGPT and Google's AI say about your company, and what to fix first.
Free. No obligation. Takes about a minute.
More buyers ask AI before they call you
Buyers now research vendors with AI before they search, click, or call. Companies named in those answers often get the first look. Companies left out may never know the conversation happened.
When buyers ask AI who to choose, competitors get named and you don't, or the description of your company is wrong. You can't see those answers.
- Before they find you: you're missing from the list.
- Before they trust you: the description is outdated or wrong.
- Before they call: they may have picked someone else.
Good companies should show up when someone asks AI about their service. The companies doing the work should be the ones recommended.
You've built a solid website, invested in search, and run ads. Search clicks cost more than they did a decade ago, and the buyers you're paying to reach may already be hearing a different name.
You did what the playbook said. Nobody told you it changed.
AI is now part of how buyers choose, and most companies can't see what it says about them. QuestionFuel shows you that answer, the sources behind it, and what to fix first.
We check how major answer engines describe your company, trace each finding to its source, close the gaps, and keep monitoring every month, so what AI says keeps matching what you actually do.
We pull the competitor pages AI actually cites for your buyer questions, analyze what they do, and show you which gaps are costing you the answer.
Results depend on your market and starting point. No one can guarantee placement in AI answers.
Three steps, starting with a free snapshot
- 1. Free AI Visibility Snapshot (about a minute): See how clearly your website explains your business to AI systems, and what to fix first.
- 2. AI Visibility Audit (pricing upon request): Test what ChatGPT, Gemini, and Google's AI say about your business, question by question, and see which sources and competitors shape those answers.
- 3. Close the gaps, keep watching: Get a prioritized plan to close the gaps, then add monthly monitoring with a Visibility Tracking Report. Pricing upon request.
Every finding links to the source it came from, so you can check it before you act.
We protect your confidentiality. We share your information only with people who need it to deliver your work, and we don't use it for other clients.
Free. No obligation. Takes about a minute.
A Score Isn't a Strategy
Most companies respond to this the wrong way: they run a free AI visibility scanner, get a score, and are left to figure out what it means on their own.
A score isn't a strategy. Knowing you're missing from the answer doesn't tell you which gap to fix first, which source is dragging your narrative down, or what happens if you fix the wrong thing. That's where most AI visibility tools stop, and where companies with real stakes on the line can't afford to.
AI Visibility
What Is AI Visibility?
Before AI can tell the wrong story about your company, it has to tell a story at all. Increasingly, it's the only story your buyers, investors, and partners see first.
AI visibility is whether your organization shows up, clearly and accurately, when someone asks an answer engine who you are, what you do, and how you compare to others in your category. It's the foundation everything else depends on.
Demo of an AI answer engine responding to a buyer query, first with your company missing or thin, then accurate and complete after AEO work.
95%
of the time, the company that wins was already on the buyer's shortlist on day one, before any contact with sales.
6sense, 2025 Buyer Experience Report
Most companies have no idea what their AI visibility actually looks like. QuestionFuel's AEO audits give you that baseline, and from there, we go deeper into whether the story being told is the right one.
AI Visibility Signal Framework
AI interprets businesses through observable signals across a website and the broader web. These signals help determine which companies appear in AI generated answers.
Entity Clarity
How clearly an organization's identity, services, and outcomes are defined
Authority Signals
Third-party credibility like reviews, citations, and credentials
Structured Content
Machine-readable information that helps AI interpret expertise
Topic Association
How consistently a brand is associated with specific expertise across sources
Brand Recognition Signals
Frequency and quality of brand references across the web
AI Is Already Deciding Who Gets Recommended
Investors, analysts, partners, journalists, and buyers are increasingly asking AI before they ever talk to you directly. If AI doesn't recommend you, they move on to someone it does.
Some of the most credible companies in their category are being left out of AI answers entirely, not because the work isn't strong, but because AI doesn't have the signals it needs to recommend them.
AI looks for signals like:
- Where your company appears and how often
- How clearly your strategy and expertise are communicated
- Whether your disclosures and public record are easy to interpret
- How you compare to peers in the answers stakeholders see
These gaps rarely show up in traffic reports or media monitoring.
They show up in the answers your future investors, partners, and buyers are already getting, often with a competitor's name instead of yours.
That's the work we do: AI visibility audits to see whether you're showing up at all, Answer Engine Optimization (AEO) to make your strategy, expertise, and credibility clear to the platforms deciding who to recommend, and ongoing tracking so you stay in the answer as AI's sources change.
Informed by ongoing analysis of how answer engines interpret and describe companies, and how that shapes the answers stakeholders receive.
Narrative Drift
When AI Starts Telling a Different Story Than You Do
Narrative drift happens when answer engines describe your company differently than you describe yourself, because they are synthesizing outdated, conflicting, or unverified sources.
Highest risk: quiet periods, earnings, transactions, regulatory milestones.
For companies in quiet periods, earnings cycles, regulatory milestones, or active transactions, this can create a perception gap that opens before anyone inside the organization sees it.
Narrative drift isn't an industry problem. It's a high stakes problem. It shows up wherever the cost of being misunderstood is high: life sciences in a data readout window, public companies near earnings, firms in a transaction, any organization whose reputation shapes the decisions that matter. High stakes means the person asking AI is about to make an urgent, expensive, or trust dependent decision, whether that's a readout, a raise, or a burst pipe. Investor relations and life sciences are where we go deepest, but the risk reaches much further.
Funding rounds, partnerships, enterprise deals, and acquisitions all move through due diligence that AI now shapes.
For companies raising capital, closing partnerships, or heading into a transaction, this isn't a marketing gap. It's due diligence happening without you in the room.
Know what AI is saying about your company before your next earnings call, readout, or raise, and have someone who can tell you what to do about it.
The risk isn't that AI is wrong. It's that no one is monitoring whether the story AI tells matches the story you intend.
AI visibility tells you whether you're showing up. Narrative intelligence shows you how AI is interpreting your story, and whether that story is accurate.
Our Approach
From Visibility to Accuracy
Showing up is step one. What AI says once you show up is what actually shapes the decision.
We start every engagement with your AI visibility baseline, then go further, into narrative intelligence, our practice of making sure the story AI tells about you is accurate, current, and aligned with how you actually want to be understood.
The goal isn't just to be found. It's to be understood, remembered, and accurately represented to the audiences whose decisions matter most.
Built for companies where being the answer AI gives is not optional.
Methodology
The DRIFT Framework
QuestionFuel doesn't hand you a dashboard and walk away. We diagnose where the story has drifted, tell you what to fix first, and track it as AI's sources change.
Discretion
We work with companies during quiet periods, earnings cycles, and regulatory milestones. Engagements are confidential, and we handle sensitive narrative information accordingly.
Visibility matters most when a decision is urgent, expensive, or built on trust.
Working in automotive aftermarket? Explore AI visibility for automotive aftermarket brands →
Recognition
Authority Signals
Client Outcome: Olairo
20 distinct buyer questions
Over about five months, Olairo was named and cited with a link to its website in AI answers to 20 distinct buyer questions across ChatGPT, Gemini, Perplexity, and Claude. Mentions accumulated over the period rather than all appearing in the same month. Results vary by market and starting point. This is not a guarantee.
See the retail AI visibility workWhat clients say
"QuestionFuel helped us turn our expertise into a real competitive advantage. We started showing up with clear, authoritative answers right when people were looking."
Result: 24% increase in inbound leads over seven months, compared with the same seven months a year earlier. Results vary by market and starting point.
"QuestionFuel's audit showed us exactly where we were invisible to AI. Once we acted on it, we saw real increases in foot traffic and sales."
See what AI says about your company this week.
Start with the free snapshot, or book a 20-minute call to talk through your market.
Know what AI says about your company, which competitors it names instead, and what to fix first.
Without a baseline, you can't tell which buyer conversations you're missing, or whether they're going to a competitor.