Your customers stopped picking from a list. They describe the problem to an assistant and ask what to do about it.
What comes back isn't ten options. It's one recommendation, and there's no second page.
Every one of those answers is a decision made without you in the room.
How the Platform Works
Four stages, running continuously.
Measure
Your buyers' real questions, run across every major assistant, on a schedule.
Diagnose
The sources behind each answer, and which of them your competitors own.
Optimize
A plan ordered by what actually moves an answer. We execute it or your team does.
Monitor
Models retrain and answers drift. You get told when yours does.
What You Get to See
Answer Share
How often you're named, by platform and over time.
How You're Described
The actual words — including the outdated ones that keep resurfacing.
Competitive Set
Who gets recommended instead of you. Rarely who you'd guess.
Source Attribution
What's feeding each answer, ranked by influence.
Gap Analysis
Where you should be the obvious answer and aren't.
Drift Alerts
When a model update or a competitor changes your position.
Every Assistant Your Buyers Use
Each one weighs sources differently and will name a different company for the same question. Optimizing for one is not optimizing for all.
- ChatGPT
- Claude
- Google Gemini
- Google AI Overviews
- Perplexity
- Microsoft Copilot
- Meta AI
- Grok
SEO vs. AI Search Optimization
| Traditional SEO | Novega AISO | |
|---|---|---|
| Optimizes for | A position on a results page | Being named in the answer |
| Audience | Crawlers and ranking algorithms | Language models that synthesize |
| Unit of success | A click | A recommendation |
| Runner-up value | Position 4 still gets traffic | There is no position 4 |
| Measurement | Rank trackers and analytics | Asking the assistants, on a schedule |
Good SEO still matters — assistants read the web. What's dead is treating a ranking as the same thing as being chosen.
Who This Is For
Anyone whose customers research before they buy — which now means asking an assistant first.
- Professional servicesWhere “who should I hire” is the whole funnel.
- B2B softwareWhere the shortlist is built before a vendor site is opened.
- Healthcare & clinicsWhere patients ask about a condition and a provider in one breath.
- Local & tradesWhere “best in my city” is now a paragraph, not a map pack.
- Manufacturers & suppliersWhere a specifier asks who meets a spec and gets three names.
- Anyone described wronglyIf assistants confidently repeat something outdated about you, that's fixable.
Questions
Can't we just do this ourselves?
You can ask ChatGPT about your company this afternoon, and you should. What you can't do by hand is the part that matters: the same question set across eight platforms, sampled enough times to separate signal from variance, tracked week over week while models retrain underneath you. One spot check is an anecdote. The work is in making it a measurement, and then in knowing which of the hundred possible responses is the one worth acting on.
Is SEO really dead?
The mechanics still matter. What's dead is the results page as the place a decision gets made. Your rank on a page nobody opened is not visibility.
How is this different from what my SEO agency does?
Different target, different levers, different measurement. Ranking signals don't determine what a model says about you, and a rank tracker can't tell you what it said.
How long before what AI says about us changes?
Days to weeks on the platforms with live retrieval. Considerably longer where the answer comes from training data. We track those separately so you're not judging fast levers by slow results.
Can you guarantee we'll be the top recommendation?
No, and be careful with anyone who does. We don't control the models. We measure your position, move it, and show you whether it moved.