Four of the first five were the right work

You do not need a research term for this. You already know the feeling.

You type what your company actually does. The first page is a mix of the job you meant, a cousin of that job, and three notices that only share a word. You keep scrolling. The clock is the pursuit calendar, not the search bar.

In August 2026 we measured that first page for open contracts: live solicitations a BD person is trying to put on a list this week. This is what it means in BD language.

The test (open work, first screen)

We ran 15 searches a contractor would actually type (CMMC, zero trust, HVAC maintenance, court reporting, legal consulting, and the rest) on SCOUT, GovDash Discover, HigherGov, BidsUSA, GovContractData, and GovTrove. HigherGov was logged-out Search All (header “Search by Name or ID”). No sales login. Same distinctive-token scoring as Discover: a shared word like “testing” or “guard” does not count unless the title is the job.

For each search we looked at the top five results and asked one question: is this the work the query meant, or is it noise?

Researchers call the score Precision@5. Forget the name. It is the fraction of the first five hits that belong on your list.

• 1.00 means all five are on-topic.
• 0.50 means two or three are, and you are already wasting time.
• 0.00 means the first five are a dead end for that search.

That test is opportunity search. It is not “who has the biggest analyst bench” or “who wrote the most custom research memos last year.” HigherGov claims opportunity search, so they are in this table. GovWin IQ sells a research queue. That is a different job.

What we saw

Per-query scores, method, and the rest of the landscape: GovCon Search Platform Index.

On average, four of SCOUT’s first five results were the right work. Every one of the 15 searches had at least one on-topic hit in the first five. GovDash Discover was about one in three. HigherGov, which does ship an open-opportunity search, was about one in four. The public SAM skins sat between those two.

HigherGov cybersecurity first five: a crane-barge CO2 system, dry-dock elevator dismantle, a rugged server, a regulating valve, a circuit breaker. None of those titles are the job. Stenography and deposition transcription were the exception: those first screens were mostly court reporting. Discover will still match a shared word and miss the job: stenography → shredding / catering / exterminating; CMMC → construction, a rugged server, JLTV lights.

A BD-shaped example: search penetration testing. SCOUT’s first five were the job (1.00). Discover, HigherGov, BidsUSA, GovTrove, and GovContractData were none. Discover’s first five were transformer testing, fire-hose testing, and HEPA filter testing. HigherGov’s first five included a bonnet assembly, fire-guard services, and a no-till drill.

SAM.gov

A capture lead also asks “why not just search SAM?” Same 15 queries, active notices, title search: eight searches returned no notices, including CMMC, FedRAMP, and penetration testing. When the title already contained the words, the first five were clean. The system of record finds the job only when the CO already used your words in the title.

Why the first page goes wrong

The CO did not use your words. You search “MSSP” or “CMMC.” The SOW says “managed security service provider” or “Cybersecurity Maturity Model Certification.”

A shared word is not the job. “Legal consulting” pulls IT consulting because both say consulting.

The title is a shrug. SAM is full of “Professional Services (Miscellaneous).” The work is in the description and the attachments.

SCOUT’s first page is cleaner because it is ranked for the work you meant, including when the notice title is vague and the real job is buried in the body. You should be able to send those five to a capture lead without a cleanup pass.

GovWin IQ is not this test

GovWin IQ stays off the Precision@5 table. It requires a login, and it sells a different job. Putting a research desk next to Discover or BidsUSA would be theater.

GovWin IQ: the queue vs the reprint

Deltek markets GovWin IQ as 150+ market analysts, 40,000+ research requests a year, “real experts, not chatbots.” They publish pieces on questions AI cannot answer. They also ship Dela, their industry-tuned AI, inside the same product. The public story is that humans are the product and AI is the cautionary tale. Internally they already use models. That split is the tell.

If you need someone to call a program office and drop a custom memo in a ticket, that bench is real and it is expensive. The cost is the queue: wait, analyst variance, a report you cannot regenerate the same way next Tuesday.

SCOUT’s bet is the opposite shape: consistent, reproducible, traceable, polished briefs in minutes. If a capture lead asks “why this row?”, the notice and the award are still there to click. You do not wait for a research slot to find out whether the first five open hits were even the right work. We use AI in the open, so a brief you can regenerate tomorrow is product, not a side experiment we apologize for.

Choose GovWin when the buy is pre-solicitation editorial and a human research desk, and the seat budget matches. Choose SCOUT when the buy is live open work you can defend, plus recompete and teaming, without putting every question in a request queue.

HigherGov is already in the table

HigherGov is already in the table above. They also ship a consolidated pane (SAM, awards, grants, forecasts, SLED). That pane is a workflow win versus bouncing across government websites. It is not what lifted the first five.

A pane of sources is still a pane: you see more tables in one place; you still do a lot of the deciding. SCOUT’s pane is built to end in a decision with receipts you can trace.

What this number does not say

It does not score recompete pipelines, teaming, proposal tools, or pricing UX.

It does not mean SCOUT replaced 150 analysts. It means open-contract search can be measured, reprinted, and argued from the first five hits. Analyst queues are another product. Score GovWin on that job, not on this one.

How to use this internally

Pick five live searches from your pipeline. On each site, look at only the first five results. Count how many you would put on a list for a capture lead. That count *is* the open-search test.

If you are comparing GovWin, ask how long a research request takes and whether two analysts would write the same memo. If you are comparing HigherGov or GovDash Discover, the Precision@5 / Precision@10 rows are the first-five and first-ten counts with no profile loaded (HigherGov: logged-out Search All).

Method, per-query table, and the rest of the landscape: GovCon Search Platform Index. This article is the August 2026 quarterly replay.

Try the same open searches on SCOUT: primerfp.com/pricing.