Competitive Intelligence Automation

A competitor review, market research before a decision, a due diligence pass on a potential partner — each one is treated as a project with a beginning and an end. Somebody spends two days reading, produces a document, and the document ages from the moment it is shared. Three months on, nobody trusts it enough to build on, so the reading starts again from nothing.

What is lost between those rounds is not the conclusion. It is the sourcing: which pages were read, which were dismissed and why, what was true in March and had changed by June. Without that, the second pass cannot be an update. It can only be a repeat, and it costs the same as the first.

There is also a quieter failure, which is that research done to a deadline stops when time runs out rather than when the question is answered. A system that collects continuously does not have that problem, because by the time the question is asked most of the reading has already happened.

A request is planned before anything is collected. A planner decides what would actually answer the question — which competitors, which markets, which kinds of source, and what would count as a good answer — because a research run with no plan returns whatever the web offered first and calls it a finding.

Collection then works across the sources the business considers meaningful: public sites and pricing pages, filings and reports, documents the company already holds, and subscription sources it pays for. Extraction pulls out the specific statements rather than whole pages, so what moves forward is a set of claims, each still attached to where it came from.

Source validation is the step that separates this from a summary. A claim that appears in one place is treated differently from one that three independent sources agree on, and a claim that two sources contradict is surfaced as a disagreement rather than resolved silently in favour of whichever was read last.

Synthesis produces the answer, with citations that go back to the original. A person reviews it, and where the question is recurring, the same plan runs on a schedule — which is what turns a one-off answer into standing market intelligence — and reports what has changed rather than restating what has not.

Headless browsing and document parsing for collection, a model for the planning, extraction and synthesis, and a store that keeps each claim with its source, its date and the run that found it. That store is what makes the second month cheaper than the first; without it the system is an expensive way to re-read the internet.

Orchestration holds a research run together across many sources and many minutes, retries what fails, and keeps a partial result rather than losing an hour's collection to one unreachable site. Scheduled runs use the same plan as the original request, which is what makes two rounds comparable at all.

Citations are not decoration and they are not a compliance gesture. They are what lets a reader disagree. A finding nobody can check is a finding nobody can act on, and the first time an unsourced number turns out to be wrong, the whole system stops being used — correctly.

Dates matter as much as sources. A page read today may describe a situation from two years ago, and a system that records when it read something but not when the source was written will confidently report old news as current.

And scheduled monitoring reports differences rather than states. The useful output of a monthly competitor run is the handful of things that moved, not a regenerated document that looks entirely new because the wording changed.

It does not decide anything. It assembles what is known, says how well each part is supported, and hands that to the people whose judgement the decision actually needs. A system that presented a recommendation would be hiding the weakest evidence behind the most confident sentence.

It does not settle contradictions between sources. Where two credible accounts disagree, that disagreement is the finding, and resolving it usually needs somebody to make a call or pick up the phone.

And it does not substitute for primary research or for licensed data. Speaking to customers, commissioning a survey and buying a specialist dataset all produce things no amount of public collection will, and a business that replaces those with this has narrowed what it can know.