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 sites anyone can use without a sales login: Scout, GovDash Discover, BidsUSA, GovContractData, and GovTrove.

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,” “who pasted the most public databases into one screen,” or “who wrote the most custom research memos last year.”

What we saw

On average, almost four of Scout’s first five results were the right work. GovDash Discover, the closest product head-to-head in this set, was about one in three. On the first ten, Discover dropped to about one in four. The public SAM skins sat in the same band.

BidsUSA and GovTrove returned no relevant result in the top five on 6 of the 15 searches. GovContractData did that on 8. Discover did that on 5 (pentest, CMMC, stenography, FedRAMP, legal document review). Two Scout queries did not return a page this run (server errors). On the 13 that did, the first five stayed on-topic.

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, BidsUSA, GovTrove, and GovContractData were none. Discover’s first five were transformer testing, fire-hose testing, and HEPA filter testing.

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 and HigherGov are not this test

We do not put them on the Precision@5 table. They require a login, and more importantly they sell a different job. Putting them 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: one pane of sources vs a decision with receipts

HigherGov also ships a federal contract opportunity search (open notices, not just awards). Logged-out, the header box on that page runs their Search All over live notices. We ran the same 15 queries in this August replay and scored the first five titles the same way we score the public aggregators.

About three in ten of those titles were on-query. “Cybersecurity” put a dry-dock dismantle, a rugged server, and a regulating valve in the first five. The word is in the description and the clauses, not in the job. “Deposition transcription” was a clean five. That mix is why they still do not sit on this quarter’s Precision@5 table: login-gated product, and a search that will rank a shared word in the boilerplate. If you have a seat, count the first five on their opportunity list yourself.

Their broader product is still the consolidated pane: SAM, awards, grants, forecasts, SLED, and a long list of other public systems on one screen. That is a workflow win versus bouncing across government websites.

A pane of sources is still a pane. The synthesis layer has historically been thin: 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 (what to pursue, who is on the work, what the document actually said) with receipts you can trace: the notice and the award, not a vibe summary sitting on top of a mash-up.

Choose HigherGov when the job is “put every public feed on one glass,” especially grants/M&A/labor extras. Choose Scout when the job is act on the row and audit why it showed up.

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 and source mash-ups are other products. Score them on those jobs, 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, ask whether the pane tells you what to do next and whether you can click through to the underlying notice and award. If you are comparing GovDash Discover, the Precision@5 / Precision@10 rows are the first-five and first-ten counts with no profile loaded.

Method and first published tables: GovCon Search Platform Index — Q1 2026 (https://primerfp.com/insights/government-contracting-intelligence-platforms-2026). This article is the August 2026 quarterly replay.

Try the same open searches on Scout: [primerfp.com/pricing](https://primerfp.com/pricing).