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.
Marketing automation is usually built as workflows. Someone fills in a form, and five emails follow. Points pile up against a contact until a score tips them over to sales. The work is judged by how many emails go out and how many leads cross the line.
That misses what automation is good at. A machine never forgets to look. It can see a quote viewed three times and not answered, usage halved, or a renewal sixty days away. Most businesses miss those moments, because nobody's watching.
What's new is that an AI assistant can now hold the conversation too, and many firms are handing it the front door. So the question of who answers, a machine or a person, has become the one most teams get wrong.
What it is for
Automation has one job: to notice a moment while it's live, and get the right answer to the buyer in time. The answer may come from a machine or a person.
It serves three stages most directly. Answered, because each moment carries a question, and automation makes sure it gets a reply. Bought, because many sales are lost to delay and silence, not to rivals. And Kept, because falling usage and an approaching renewal are the moments where customers decide whether to stay.
It touches Believed, because a wrong answer from your bot is your wrong answer. A Canadian tribunal held Air Canada to what its chatbot told a customer (Chapter 16).
It does little for Known, Found or Preferred. It works on people who have already raised a hand.
Speed matters because a moment is short. An audit published in the Harvard Business Review analysed 1.25 million sales leads (Oldroyd, McElheran and Elkington). Firms that tried to reach a lead within an hour were "nearly seven times as likely to qualify the lead" as firms that waited an hour more. It's a correlation: fast firms may simply be better at selling.
The anatomy of a good one
A good automation runs left to right, from something the buyer did to a record of what happened next.
A signal: something the buyer did [Answered]. A click, a reply, a login, a quote viewed. Never trigger a person on an email open alone; Apple's privacy feature can fire an open when nobody looked.
A rule: the moment it means [Answered]. "Pricing page twice within 48 hours, after an enquiry" means "this buyer is comparing prices". Write the question down. If you can't say what the buyer is asking, you've only got a click.
The route: machine or person? [Bought]. My working rule is to route on stakes for the buyer. Stakes are high when the money is large for them, the decision is hard to reverse, they're upset, or the answer depends on their circumstances.
A simple answer, by machine, from the one truth [Answered · Believed]. It doesn't improvise. If the answer isn't in the approved sources, it says so and offers a person.
High stakes: a named person, with context [Bought · Kept]. One name, not a shared inbox, with everything the machine knows, so the buyer never repeats themselves.
Record what happened, and learn [Kept]. Read the records monthly, and change the rules that aren't working.
The mistake most teams make
They send sales the highest lead score. Most scoring, as run, counts activity: everything a person has done, over months. A moment is a particular combination of actions, close together, that means a buyer is at a particular step. The finance lead who visits the pricing page twice in one afternoon may score 10 points. The junior analyst who has read every blog post for a year may score 140. The score sends sales to the analyst.
The second mistake is putting a machine between the customer and a person. Gartner found 64% of customers would prefer companies did not use AI for customer service, and the top concern was that it would be harder to reach a person (Gartner). That's a stated preference, but it names the fear precisely.
How you know it's working
Keep workflows, emails sent and "deflection" as diagnostics; a high deflection rate can mean a trapped customer. Judge automation by the share of each moment's signals answered within its time limit, the share that moves to the next step, how often a buyer has to repeat themselves, the assistant's accuracy against the one truth, and deals lost where a signal fired and nobody acted.
An example
Fieldline, the invented scheduling-software firm, used to run a lead score. In one deal, a junior coordinator downloaded three guides, crossed the line and got the sales call. She had no budget. Meanwhile the finance lead viewed the proposal four times in two days, going back to pricing each time. Nobody saw it, because viewing a proposal earned five points. The deal went quiet.
Fieldline rebuilt around moments. In the next deal, the finance lead's third view reached the account manager within the hour. Her first line was a question, not a report: "Most finance leads at this stage want year one all-in. Would that help?" She never mentioned what she'd seen.
The full playbook. The Automation Playbook, with the signal-to-moment map, the handover rule sheet and the guardrails spec for a customer-facing AI assistant, is free at rocmode.com/playbooks.
Whose evidence this is. Gartner sells research to customer service leaders, and its customer figures are a stated preference from late 2023. The lead-response audit appeared in HBR, not in a peer-reviewed journal, and I found no peer-reviewed replication.
