Your buyers ask AI who to pick. Make sure it’s you.
Gets you selected acrossChatGPTClaudeGeminiPerplexity
RocMode shows you whether AI picks you or your rival, finds the work that changes it, builds that work, and sends it to you to approve. Then it proves what moved.
We ask ChatGPT, Claude, Gemini and Perplexity the questions your buyers ask, and show where they pick you and who they pick instead. Free, no login. What’s the Score? Or sign up free and try everything for 14 days.
RocMode · Live read · Monday by Nine (example)
Asking ChatGPTBefore
The AI marketing and sales platform
Marketing and sales, rebuilt for the age of AI.
Your website in. A whole marketing and sales team’s work out. RocMode learns your brand from your site, then does the work: strategy, website, ads, social, PR, partners, email, design, and the deck that wins the deal. You approve every piece.
Other tools do one job. This does all of them, as one story.
Other AI guesses. This works from your facts and proof.
Other tools stop at the post. This follows it to the signed deal, and learns what won.
How it works
KnowWhere you really standActWhat to fix firstCreateWe build the work. You approve itProveDid it move?
Know · Step 1 of 10
It gets you. It gets your customers. It connects the dots.
Everything about your brand, your buyers and your rivals, sorted and connected.
Then it works out what to say, where, when and why. It’s the brain behind every step.
Builds: Customers · Offerings · Rivals · Proof
RocMode · BrandGraph · sample data
Following one momentCISO · Comparing · “Who’s the best managed security provider for a hospital group?”Moment found
Brand core3 found
Voice3 found
Visual identity3 found
Products and services3 found
Pricing3 found
Personas and markets3 found
Pains, gains, jobs3 found
Journeys and objections3 found
Proof and trust3 found
Content3 found
Competitors and partners3 found
Team2 found
Halvard Security35 facts
Two hospital case studies/partners
FactClaimProofAI-suggestedExample: Halvard Security, an invented managed security provider.
Reading halvardsecurity.com.au, socials, reviews and listings…
Halvard SecurityBrandGraph
12areas, all connected
3personas
15moments
6rivals
Sample data
Your customers
Customers
›
Personas
›
Journeys
›
Pains, jobs, objections
›
Moments
What you sell
Products and services
›
Offerings
›
Value proposition
›
Differentiation
Your rivals
Competitors
›
Industry
›
Expectations
›
Gaps to exploit
Moments + offerings
Opportunities
›
Campaigns
›
Ads
›
Sales
Content gaps
›
Content
›
Website
So it knows
What to say.Where. When. Why.
Moment foundCISO · Comparing · “Who’s the best managed security provider for a hospital group?”
Know · Step 2 of 10
Your strategy, from everything it knows.
Positioning built from your offerings and the gaps your rivals leave.
Claims you can’t back get cut before anyone sees them.
Seen isn’t selected. AI picks the brands it can tell apart.
Every era of marketing had its visibility number, and AI mentions are just the newest. Most AI tools still sell you visibility. But being mentioned isn’t being chosen, and for the first time you can measure the pick itself.
BroadcastAwareness
Media buyingReach
SearchRankings
SocialFollowers
AIMentions
What countsSelected
What AI made cheap
Making things.
Posts, pages, ads and reports in minutes
Anyone with a login can do it
Your competitors have the same tools
Sell on volume and you compete on price.
What AI made measurable
Being chosen.
Brand ABrand BYouBrand CBrand D
Buyers ask AI who to pick, and it names a few brands
You can ask the same questions and see who’s named
So you can see, moment by moment, where you win and lose
Compete on this and you compete on results.
See it on your brand
See how often AI picks you. Free.
We ask the AI assistants your buyers use the questions they really ask, many times each, at every step of their journey. Then we show where you’re picked, where you’re passed over, and who wins instead.
Your free Selectability Score asks the AI assistants the questions your buyers ask, without your name in them. You see who gets picked, at which moment, and the three gaps to fix first.
It was 2025, and AI had started eating into search.
We'd just done some of our best work for a lender we worked with. A new content strategy, an upgraded website, tools that helped buyers work out what they needed. By every early sign we watched, it was working. People were finding the site, spending time on it and using the tools.
Then the leads started to dry up, and the deals went with them.
I couldn't work it out. Nothing we'd built had changed. Every engagement number we reported was still healthy. We were doing the hard work, and doing it well. But the numbers that mattered to the client were falling, and they pressed us hard to account for it. Fair enough, too.
When they asked, I told them the truth: "I'm honestly confused, and a little bewildered." Soon after, they halved our budget.
Shortly afterwards I found the culprit. AI answers were taking the searches our content used to win. Buyers hadn't all moved, but enough of them were getting their answers from an AI assistant to cut the client deeply.
The answer came too late to save the account. Within a few months we'd handed the work back.
I had to admit I was out of my depth. Getting a brand into AI answers was a new discipline, and I set out to learn it.
Before the foundations, an admission. I looked hard for a company that has published a measured case of winning at every stage. I didn't find one. That doesn't mean nobody does it well. It means nobody publishes it: every team owns a number and nobody owns the choice.
Why winning the whole choice is rare
The arithmetic shows why it's rare. Take a considered or committee purchase, where the buyer needs all seven stages to hold.
Suppose a brand wins each stage four times in five. It wins all seven about one time in five.
In a shortlist of five suppliers, one in five is only fair share. A brand that's good at every stage is merely average.
A single weak stage does more damage. Let Believed slip to one in two and the whole falls to about one in eight.
Treat that as an illustration, not a model. The stages aren't independent, and buyers don't pass through them in order. Not every purchase needs all seven, either. But for considered and committee purchases, the point stands. A brand that's good everywhere can still lose most of the time.
What AI changes
AI raises the stakes, because a machine now writes more of the shortlist before any supplier is called. It also makes the stages easier to see: you can ask the machine what it knows, believes and prefers. It doesn't make them easier to win. Your rivals can ask the same questions, and the machine leans toward names it already knows.
So the ground is open to whoever manages the whole choice, rather than one stage of it. The rest of this book is how.
What it takes: three foundations and seven stages
Being selected isn't a campaign. It rests on three foundations, which every stage draws on, and then on seven stages won one moment at a time.
Hold one truth. A single account of who you're for, what you claim and your proof, told the same way everywhere. Chapter 10.
Have a reason. A reason to choose you that a sensible rival wouldn't claim. Chapter 11.
Know your moments. Which buyers, at which steps, in which way of buying. Chapter 12.
Then come the seven stages, one chapter each, each built on one line.
Stage
Chapter
Thesis
Known
13
You're never just known. You're known for something, at a moment.
Found
14
Found is a rate, not a rank.
Answered
15
The questions you avoid are the ones that decide.
Believed
16
You can't claim belief. You can only supply the evidence for it.
Preferred
17
A reason counts only if it survives being repeated by someone else.
Bought
18
Most lost sales are lost to nothing.
Kept
19
Today's customers write the evidence tomorrow's buyers read.
Each foundation chapter ends with something to do this afternoon and this quarter. Every stage chapter ends with its core tool, printed in full; the rest are free in the Selectability Playbooks at rocmode.com/playbooks.
