It's super exciting, and maybe a little bit daunting, to consider the ramifications of the agentic economy. I'm building in this space and one of the unanswered questions for me is how to "get the attention" of agents to visit the websites (would they even be called "websites" anymore?) of small or niche businesses. SEO and AEO/GEO still matter in terms of surfacing on their searches, but my sense is that getting chosen will still consist of playing a long game of building brand and domain authority over time. Fun times.
An agent has no money of its own; it spends its human's. That's why the fraud and chargeback worry turns up before the growth does. A shop needs to know whose card this is, whether the agent was allowed to use it, how to switch that permission off, and how to undo the purchase when the human says they never asked for that. Lending your identity makes the last part messier, not simpler.
Very exciting times. We're honored to be part of this journey and how the agent space is shaping. Thank you for mentioning blooio.com we appreciate it!
I use claude and codex daily to write the code, so I watch agents choose tools every day. What I have seen matches your coding case study. An agent skips the homepage and reads the docs. It tries the first command, and when that fails it reads the error message. If the error says what to do next, the agent stays. If it does not, the agent moves to the next option in seconds and never tells anyone why. Stripe seeing about 40% of its docs traffic from agents makes sense to me, because for an agent the docs are the sales pitch and the error message is the sales call.
The part I would love to see later in the series is the other side of "on our behalf". A human buyer brings habit and loyalty. An agent brings neither, so it decides again from scratch on every run, and a company can lose a customer who never knew they had picked it. I think the companies that win agents' business will be the ones whose pricing, limits and docs are true and readable by a machine. For twenty years we competed for attention. An agent has all the attention in the world and no patience for a claim it cannot check.
Everyone is building AI agents. But who's making sure they actually work in the real world?
Static benchmarks don't capture the complexity of real-world tool use, non-deterministic workflows, and edge cases that cause agents to fail.
At Alpheva AI, we turn expert workflows into high-quality training data, rigorous evaluation suites, and RL environments that help frontier agents become more capable and reliable.
We have already partnered with top agent builders to close this gap and have had them improve their workflows by 30% on average.
Building frontier agents? Let's talk. Find out what your current evaluations might be missing.
I think there is some merit in the post, but I think it needs some additional clarity. For example, I'm skeptical on the AI agents make up most Internet traffic. References to Imperva are about traffic on their site or the page requests from cloud flare. Bots (human initiated) have been a majority of Internet for a few years (think of SEO tools, monitoring, or bad bots like DDoS attacks). AI agents are separate and smaller in overall traffic.
Exact-match brands bring huge marketing power to the "agent" space and will be more significant in the future. Both (1) & (2) word brands create "instant authority" that will be the difference in winning vs losing in most cases. What sticks out is how many (2) word brands are listed in your app charts. Exciting times for our BankStatements brand. Very well done ladies!
It's super exciting, and maybe a little bit daunting, to consider the ramifications of the agentic economy. I'm building in this space and one of the unanswered questions for me is how to "get the attention" of agents to visit the websites (would they even be called "websites" anymore?) of small or niche businesses. SEO and AEO/GEO still matter in terms of surfacing on their searches, but my sense is that getting chosen will still consist of playing a long game of building brand and domain authority over time. Fun times.
An agent has no money of its own; it spends its human's. That's why the fraud and chargeback worry turns up before the growth does. A shop needs to know whose card this is, whether the agent was allowed to use it, how to switch that permission off, and how to undo the purchase when the human says they never asked for that. Lending your identity makes the last part messier, not simpler.
Very exciting times. We're honored to be part of this journey and how the agent space is shaping. Thank you for mentioning blooio.com we appreciate it!
I use claude and codex daily to write the code, so I watch agents choose tools every day. What I have seen matches your coding case study. An agent skips the homepage and reads the docs. It tries the first command, and when that fails it reads the error message. If the error says what to do next, the agent stays. If it does not, the agent moves to the next option in seconds and never tells anyone why. Stripe seeing about 40% of its docs traffic from agents makes sense to me, because for an agent the docs are the sales pitch and the error message is the sales call.
The part I would love to see later in the series is the other side of "on our behalf". A human buyer brings habit and loyalty. An agent brings neither, so it decides again from scratch on every run, and a company can lose a customer who never knew they had picked it. I think the companies that win agents' business will be the ones whose pricing, limits and docs are true and readable by a machine. For twenty years we competed for attention. An agent has all the attention in the world and no patience for a claim it cannot check.
Everyone is building AI agents. But who's making sure they actually work in the real world?
Static benchmarks don't capture the complexity of real-world tool use, non-deterministic workflows, and edge cases that cause agents to fail.
At Alpheva AI, we turn expert workflows into high-quality training data, rigorous evaluation suites, and RL environments that help frontier agents become more capable and reliable.
We have already partnered with top agent builders to close this gap and have had them improve their workflows by 30% on average.
Building frontier agents? Let's talk. Find out what your current evaluations might be missing.
https://www.alpheva.ai/
Just realized this vividly myself week ago. Great post. Thanks.
I think there is some merit in the post, but I think it needs some additional clarity. For example, I'm skeptical on the AI agents make up most Internet traffic. References to Imperva are about traffic on their site or the page requests from cloud flare. Bots (human initiated) have been a majority of Internet for a few years (think of SEO tools, monitoring, or bad bots like DDoS attacks). AI agents are separate and smaller in overall traffic.
Exact-match brands bring huge marketing power to the "agent" space and will be more significant in the future. Both (1) & (2) word brands create "instant authority" that will be the difference in winning vs losing in most cases. What sticks out is how many (2) word brands are listed in your app charts. Exciting times for our BankStatements brand. Very well done ladies!