AI Agent for Competitive Intelligence: A Weekly Watch in Your Wiki

A small company rarely ignores its competitors on purpose. It simply never finds the hours to look at them properly. Reading five pricing pages, following what each one published this quarter, comparing the claims with your own offer: every step is worth doing and none is urgent, so the watch is done once, before a pitch or a pricing change, and then it ages. This is the kind of background work an autonomous AI agent can carry, because it asks for patience and method rather than judgment.

The inspiration: a three-person company and its agent

The starting point is a public account from Halfbit Studio, a software house of three people, which describes how it uses an agent as a working partner. Among the tasks it hands over is the analysis of competitors. According to that account, the agent wrote a competitive report of roughly 45 pages covering five competitors.

What matters is not the length but the shape of the result. The report is a document that can be refreshed rather than a one-off effort, and it lives where the team already works. The same account is also clear about the limit: the agent does not decide what to do with what it found. Atako applies the same split.

What the agent does

You give the agent the competitors you listed, five at most, and a short description of your offer. For each competitor, it documents, with the browser:

• the positioning: who it targets and how it presents itself;
• the public offer and prices: plans, price points and what is included, quoting only what is public;
• the news of the last 90 days, counted from today's date: launches, funding, hires, partnerships, incidents;
• the content and social proof: blog themes, case studies, customer logos and reviews;
• the comparison with your offer: where the competitor is stronger and where you are;
• the recommendations: what to do within one month and within one quarter.

The result is a wiki page titled "Competitive intelligence" in an Atako project, with one subsection per competitor and every source cited as a link. When the agent refreshes the page, it updates it in place and notes what changed since the last version, so you read the differences and not the whole page again.

What the agent does not do

The limits are part of the design. The agent never invents a price, a figure or a quote: when a piece of data is not public, it writes "not public". It separates the facts, which are sourced, from its own interpretation, which is labelled. It contacts nobody, does not sign up to competitor products and changes nothing in your tools. Its only write access is the wiki of the Atako project created for the scenario. The recommendations are advice: the person who knows the market and the strategy stays in charge of the next move, which is the principle behind human-in-the-loop design.

How to set it up in Atako

From the page of this use case, the deployment takes three steps, with no connection to create.

1. Fill in your context. Describe your offer in a few sentences and list the competitors, one per line, with their website if you have it. These inputs are what the agent works from, so the more concrete they are, the sharper the comparison.
2. Deploy. One action creates the agent and the "Competitive watch" project. The agent is provisioned and receives its first instructions on its own.
3. First version, then the weekly rhythm. The agent writes the first version of the wiki page and summarizes the key findings in the chat, naming the project and the page title so you can open it. From then on, it plans its own Monday morning refresh at 8:00.

If you do not have an account yet, creating it starts your trial and the scenario is configured right after. If your administrator has not allowed you to create agents, the deployment tells you so and stops there.

Where to see the results

You can follow the work in two places. In the Atako project "Competitive watch", you open the wiki page "Competitive intelligence", read the subsection of each competitor and see the history of the changes. On the Atako floor, the agent is visible with its current activity, so you know whether a refresh is in progress without asking.

You can also talk to the agent in the chat to ask for a competitor to be added, a section to go deeper on or an extra pass before a meeting. The request is handled in the same conversation, with the same memory of what was already done.

Safeguards

Access is narrow on purpose. The agent has no integration at all: it reads the public web with its browser and writes in one wiki. It has no access to your mailbox, your CRM or your accounting. Nothing is granted by default, and the project and its page can be archived at any time.

Human validation sits at the decision points. You read the page before any decision is taken, you challenge an interpretation when your knowledge of the market contradicts the agent's, and you decide how to react to what the watch reveals. The agent prepares the ground; it does not act on it.

What to expect

Expect a first version that gives you a structured view of your competitors, not a strategy. The value comes from the following weeks: the page stays current without anyone owning it, the differences are written down instead of remembered, and the comparison sharpens as you refine your offer description in the chat. For a team of two or three people, that is the difference between a competitive watch that is always on the to-do list and one that simply exists when you prepare a pitch or a price change.