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.
Security 35 facts
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.

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.
None of this is your fault. Buyers changed how they choose, and most marketing hasn’t caught up.
The dashboards are green and the pipeline isn’t.
About half of new articles online are now written mainly by machines. Graphite, 55,400 URLs, 2026So AI and buyers hear five versions of you.
Not in a footnote. Nowhere.
Check yours free →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.
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.




RocMode runs on Seen Isn’t Selected and the free Selectability Playbooks. Read the thinking before you buy.
The book →We ask the assistants your buyers use, many times, at every moment, and report the rate with honest margins. Every finding has a receipt.
See a Score →The same system that finds the gap writes the page, the email and the deck that closes it.
How it works →Monday by Nine, the café bookkeeper from the book: who gets picked instead, where buyers are lost, and the three fixes that lift it most.
Open the sample →Same questions, same assistants, every month, with what we changed in between.
See our Score →The whole book. 206 pages, no email, no paywall. Plus the 10-minute manifesto and the Playbooks.
Read it free →Everything below runs on one BrandGraph, priced per brand. Start with the free Score, or try every plan free for 14 days. Cancel any time.
Your free Score shows where you’re picked, where you’re passed over, and who gets chosen instead.
Or sign up free →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.
✓ Free✓ No login✓ Report by email, with a PDFChapter 8
So far a choice has been a list, a moment and a way of buying. It's also a person, and people don't choose the way a spreadsheet does.
People rarely compare every option. They take the first one that clears the bar. Herbert Simon called this satisficing. It's why buyers pick from a list written on day one. So being on that list matters more than being slightly better than whoever is on it.
A name people have met before feels like the safer pick, even when they can't say why. In 1968 Robert Zajonc showed that "mere repeated exposure" to something improves people's attitude towards it (Zajonc).
It was around 2020, and I'd made up my mind about Intercom long before I compared anything.
I'd been on their website a few times and I loved it. The story pulled me in. The design was beautiful, and the product was explained completely without ever going on too long. I'd been building websites for more than twenty years by then, and I was impressed. Some of the suppliers I dealt with used it too, so I'd been on the other end of it as a customer, and I'd enjoyed that.
So when the question came up of which chatbot to put on websites, ours and our clients', it was Intercom's to lose.
We did a proper competitive review. It showed Intercom was well and truly the most expensive, about four times the price of the others in most cases. I argued for it anyway, for my own business and to clients, and most of them took the bite and bought it too.
Being fair to the numbers, it probably shouldn't have won. The alternatives cost much less and were good enough for most of what people needed. But Intercom had already won the emotional argument with me. I'd made the decision on feeling, then gone looking for the rational case to back it up.
The review was real work. The answer was in my head before it started.
Les Binet and Peter Field studied campaigns in the IPA's effectiveness databank. Emotional campaigns were almost twice as likely as rational ones to report very large profit effects (IPA). Their later business-to-business work found emotion did more there too, over the long term (Chapter 23).
Those are award entries, successes by selection, but they fit what psychologists find: people are poor witnesses to their own reasons.
Reasons still matter, because a buyer has to explain the choice to a partner, a boss or a board. The feeling picks, and the reason defends.
A loss hurts about twice as much as an equal gain pleases, though less when the stakes are small. So in a serious purchase, the buyer fears choosing wrong more than they hope to choose right. That's why so many deals end in doing nothing.
In 2006 three researchers built an online music market for 14,341 people. Only some could see what others had downloaded (Salganik, Dodds and Watts). Where people could see each other's choices, the hits were bigger and harder to predict. Quality sets the range. Other people's choices decide where in the range you land.
The famous finding that too many options paralyse people is weaker than its fame. A review of 50 experiments found an average effect of almost zero (Scheibehenne and colleagues).
A later meta-analysis of 99 results found when it does bite (Chernev, Böckenholt and Goodman): complex options, a hard decision, and a buyer unsure what they want. So the number of options isn't the problem. The difficulty of choosing is.
| Stage | The psychology at work | What it asks of you |
|---|---|---|
| Known | Familiar feels safe | Show up often, and look the same every time |
| Found | Good enough beats best | Be on the first list |
| Answered | A hard choice stalls | Make your answer the easy one to use |
| Believed | We follow other people | Let other people say it for you |
| Preferred | Feeling first, reasons after | Give a feeling, and a reason to defend it |
| Bought | Losses loom larger | Take the risk out of the last step |
| Kept | Good enough beats best | Keep clearing the bar, so they never start looking |
The table is my reading of the evidence, not a measured result.
The machine has no feelings, though it has habits of its own. It can do the comparing, but it's still the person who feels, fears and decides.
Whose evidence this is. The IPA is an agency trade body. LinkedIn, which funded the B2B work, sells advertising. The other sources are peer-reviewed.
Write the feeling your offer should leave, and the one sentence a buyer would use to defend it to their boss.
Or go back to the contents, or get your own score while you read.