Theory vs
AI research tools
AI research tools, including deep research features in general assistants and specialised market intelligence platforms, summarise and synthesise information that has already been published. Theory Intelligence gathers evidence that has not been published, from verified people, and delivers it with a signed recommendation and a provenance appendix. The two are complements, not substitutes.
Theory vs AI Research Tools
| AI research tools | Theory Intelligence | |
|---|---|---|
| Source | Published web, filings, news, some licensed databases | Verified interviews with practitioners, plus checked documents |
| Coverage | Everything indexed; nothing unwritten | What people know and have not written down |
| Citations | Generated; a meaningful share do not resolve or do not say what is claimed | Every citation opened by a person; passage recorded |
| Recency | Days to weeks for public events; never for private knowledge | Last week's conversation with a customer |
| Cost | USD 20 to 2,000 a month | Signal Brief USD 7,500 to 12,000; Retainer USD 6,000 to 15,000 a month |
| Accountability | None; terms of service disclaim accuracy | Named researcher signs |
| Best for | Desk research, orientation, drafting, checking public facts | Decisions that turn on private knowledge or need a defensible evidence base |
What AI research tools do well
Used well, a deep research tool compresses a day of desk research into ten minutes. It finds the filings, the news, the analyst notes and the competitor pages, and it writes a serviceable summary. Theory uses these tools every day for exactly that purpose, and discloses it. For orientation on a new market, for checking a public fact, for drafting the background section of a report, they are the right tool.
Where they fail
Three ways. First, they can only summarise what has been published, and the knowledge that decides most business questions has not been. What your competitor's customers really think, why the last three deals were lost, whether brokers trust a new carrier: none of that is on the web. Second, citations. Independent tests of AI research outputs continue to find a meaningful share of references that do not resolve, or resolve to a page that does not say what is claimed. This is the failure that reached Deloitte's and PwC's clients. Third, accountability. The terms of service disclaim accuracy. No one signs.
What Theory does
Theory starts where the published record ends. We find and verify the people who know, interview them, check every document we rely on by opening it, and deliver a signed recommendation with a provenance appendix. For a standing need, the Intelligence Retainer replaces the market intelligence subscription with six to ten verified interviews a month and a signed briefing.
Using both
The efficient pattern is to use AI tools for the published record and Theory for the unpublished one. Many clients arrive with a deep research output and one unanswered question at the bottom of it. That question is usually a Signal Brief.
Everything Theory delivers is governed by The Theory Standard. Prices are on the services page.
Questions people ask
Can an AI research tool replace primary research?
No. It can only summarise what has been published. Most business decisions turn on knowledge that has not been, which is what primary research gathers.
Does Theory use AI research tools?
Yes, for desk research, orientation and drafting, and every deliverable says so. We never use them as the source of a factual claim without a person opening the source.
How do I check an AI research report's citations?
Open every one. Confirm the page exists and says what is claimed. If that is too much work, it is a sign that the evidence base should not be relied on for the decision.
Test the difference on one question
A Signal Brief: six to eight verified interviews, a signed answer, ten business days, USD 7,500 to 12,000. info@theoryintel.com.
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