What "grounded" means
A grounded answer starts from documents retrieved for the question, such as the SAM.gov notice, the USAspending award, or the agency forecast line, and points back to them. An ungrounded answer is generated from patterns in training data. Both can sound equally confident, which is the whole problem.
What a general model does well
Give a general model material you already have and a task that is about language or reasoning, and it earns its keep.
- Explaining vocabulary and process. Sources sought versus RFI, IDIQ versus BPA, what CPARS is, how option years work. It is a patient tutor for the acronyms.
- Drafting and editing. An outline, capability statement language, a first pass at a past performance narrative, a clearer cover letter.
- Summarizing what you paste in. A long solicitation section, an amendment, a page of Section L, as long as you supply the text.
- Preparing questions. What to ask at an industry day or on a call with a small business specialist.
- Thinking out loud. Bid or no-bid tradeoffs, what a competitor's strength implies, how to position a teaming pitch.
Used this way, it is a capable assistant for the part of the job that is writing and reasoning about facts you already hold. Nothing in this article argues against that.
What it cannot know
A general model has no connection to your business or to the federal record unless you type it in. Specifically, it does not know:
- Your NAICS codes, size status, set-aside certifications, UEI, or CAGE code, and therefore what you are eligible to bid.
- Which agencies buy what you sell, in what volume, through which vehicles. That is in the award record, not in the model.
- The award record itself: who holds the contract you want, what it is worth, and when its period of performance ends.
- This year's agency forecasts, which change through the year and are published as databases and spreadsheets on agency sites.
- Which contracts in your lane expire in the next 24 months, one of the most useful pipeline signals there is.
- The notice it is talking about. Unless you paste the full text, it has not read the SAM.gov notice, the attachments, or the amendments, and it cannot open the link.
- Anything after its training cutoff, including notices posted this week.
You can supply some of this by pasting, and for a single document that works well. You cannot paste the award record for an agency, a year of forecasts, or the notices that posted since Monday, and those are where opportunities come from. Our guide to finding government contract opportunities walks through each of those sources.
Hallucinated solicitations are a real risk
Ask a general model for open solicitations in your NAICS code at a named agency and you will often get a confident list: notice titles, solicitation numbers in the right format, response dates, set-aside statuses, sometimes an incumbent and a dollar value. Some of it may be real, remembered from training data and long since closed. Some of it will be invented, because the model is completing a pattern rather than looking anything up. An invented solicitation number looks very much like a real one.
The cost is not embarrassment. It is capture hours spent on a requirement that does not exist, a bid or no-bid meeting held on fictional facts, or a real due date missed because the model offered a plausible wrong one. In a field where the response window is measured in weeks and the record is public, that is an avoidable failure.
Two habits protect you. First, every solicitation number must resolve on SAM.gov and every award must resolve on USAspending.gov before it goes in your pipeline. Second, ask any tool, general or specialized, where a fact came from, and open the source. If it cannot point to one, treat the fact as a guess.
The same question, asked both ways
Below is an illustrative example. The bracketed details are placeholders, not a live answer from either system, and the point is the shape of each response rather than its content.
Illustrative example, not a live answerA general model, no data access
"What open opportunities should a service-disabled veteran-owned IT firm in NAICS 541512 pursue at the Department of Veterans Affairs, and which close soonest?"
- VA Enterprise Cloud Migration Support, solicitation 36C10B-[number], SDVOSB set-aside, responses due [date].
- Network Modernization Services, solicitation 36C[number], small business set-aside, responses due [date].
- Cybersecurity Operations Support, solicitation 36C[number], responses due [date].
What to notice: the numbers are in the right format, the titles are plausible, and the closing sentence quietly hands the verification work back to you. There is no way to tell from the answer which items exist.
A grounded tool, reading the record
Same question, asked inside a tool that has your profile and the public record.
- [Notice title], [contracting office], SDVOSB set-aside, responses due [date], [N] days out. Source: SAM.gov notice [ID] (opens the notice).
- [Notice title], [contracting office], small business set-aside, responses due [date]. Source: SAM.gov notice [ID].
- [Notice title], [contracting office], responses due [date]. Source: SAM.gov notice [ID].
What to notice: every item carries a source you can open, the answer separates what is open from what is only signaled, and it says plainly when the record has nothing. Reading the notices is still your job.
How a grounded tool differs
- Retrieval before generation. The answer is built from documents fetched for the question: SAM.gov notices, USAspending awards, forecast lines, and your own profile.
- Citations you can open. Each factual claim links to the public source, so verification is a click rather than a research project.
- Context from the screen. It knows which solicitation, agency, or competitor you are looking at, so a question like "who held this before" has a referent.
- Your profile as a filter. NAICS codes, set-asides, and target agencies set in your profile at signup narrow every answer to work you can actually bid.
- Honest gaps. When the record has nothing, it says so instead of filling the space.
- Scope limits. It answers factual questions about the record. It is not legal, compliance, or FAR-interpretation advice, and bid-critical facts still get checked against the primary document.
When a general model is enough
If your immediate need is writing, learning the vocabulary, or thinking through a decision on facts you already have, a general model is enough and costs very little. Many teams use both: a general model for drafting, a grounded tool for finding and checking. The mistake is using the drafting tool as the finding tool.
Where FedFinder fits
The Closer is FedFinder's AI operator. It reads the solicitation, agency, or company you have open inside FedFinder and answers your question about it from the public federal record, with citations to sources you can open. Hand it a full solicitation and it extracts submission requirements, evaluation criteria, page limits, and format red flags. It works alongside Pre-RFP Signals, which is where the forecasts and expiring contracts it can reason about come from. Both are on the Pro plan and up; see the pricing page for what each plan includes, or the comparison hub for how that stacks up against other platforms. The Closer is not a substitute for your contracts counsel or contracting officer, and SAM.gov registration, which the free entity validation checker can help you get right, stays a government process no AI replaces.
Can ChatGPT find government contracts?
Not reliably. A general model has no live access to SAM.gov, the award record, or agency forecasts, and it can produce solicitations that do not exist. Use it for drafting and explaining, and use SAM.gov or a grounded tool that cites its sources for finding and checking.
What is a hallucinated solicitation?
A solicitation title, number, due date, or set-aside status that a model generated to complete a pattern rather than retrieved from a real notice. It looks like a real notice, and it is the main reason to verify every number on SAM.gov before acting on it.
Is FedFinder's Closer a replacement for ChatGPT?
No. The Closer answers factual questions about the public federal record in front of you, with cited sources. It does not replace a general model for drafting, and it does not give legal or compliance advice.
FedFinder, Inc. is a commercial software vendor, not SAM.gov, GSA, or any federal agency, and is not affiliated with the U.S. government or with OpenAI. ChatGPT is a product of OpenAI. SAM.gov registration is free, mandatory, and run by the government regardless of which tools you use. Federal intelligence in FedFinder is sourced from public records only, and the Closer does not provide legal, compliance, or FAR-interpretation advice.
New to the platform? Getting started with FedFinder walks through the first week.
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