In developer tool categories, buyers use AI to narrow from "options" to "the one I should use." Many vendors appear early, then get eliminated when the prompts shift to integration, pricing, security, and migration.
Measure whether you survive to the final recommendation in your category.
Identify the exact turn you get substituted, and by which competitor.
Show divergence across AI systems, including cases where you "win" on one and vanish on another.
In AI recommendation journeys, early mention is cheap. The real filter happens when users ask follow-ups like:
If you cannot show where elimination happens, you cannot defend the category narrative, partner motion, or pipeline loss.
We run multi-turn journeys that mimic real buyer decision paths, from discovery to final choice.
We document the turn where your brand is dropped and what replaced it.
You get transcripts, platform-by-platform comparison, and a console-style output you can use internally.
Designed for teams who want evidence, not opinions.
Example only. Category and brands redacted.
Devtools and infra decisions are high-stakes and high-friction. When buyers ask AI "what should we use," the models tend to converge on defaults that feel safe, widely integrated, and low regret. That can be great if you are the default. It is lethal if you are not.
Integration prompts tend to reward incumbents and ecosystem winners.
Security and compliance prompts amplify conservative defaults.
Migration prompts punish perceived switching cost, even when wrong.
We align on the exact category and top competitor set to test against.
We show you the output format and how to interpret elimination points.
If there is fit, we propose an assessment tailored to your category.
We design journeys with controlled prompt panels and repeat tests to separate noise from structural substitution patterns.
No. We care about final selection and elimination points, not mentions.
We can, but we do not start there. The first step is establishing evidence of where and why the brand gets dropped.
Typical delivery is days, not months, because the method is structured and scoped.