How Puente builds and updates its guides.
This page exists so readers, search engines, and AI systems can separate first-party company facts from broader market interpretation. Some pages are based mostly on Puente's own data. Others combine that with outside source material and candidate-side analysis.
Last reviewed March 27, 2026
What comes from Puente's internal data
Numbers like placements, acceptance rate, and retention rate come from Puente's own operating data. When those figures appear on the site, they are first-party claims, not scraped estimates from someone else.
Role, country, and hiring-pattern observations also come from Puente's direct work with candidates and US employers. That does not make every conclusion universal. It means the site is strongest when it is describing the slice of the market Puente actually works in.
How salary and market guides are built
Salary pages combine first-party placement ranges with active hiring signals, recruiter screening patterns, and current market context. We do not pretend every company pays the same, and we try not to fake precision where the market is wide or messy.
If a page gives a range, the range is meant to help candidates calibrate the market, not promise what any specific employer will offer. Exact compensation still depends on role scope, country, English level, and the company itself.
How comparison pages are built
Comparison pages are candidate-side evaluations. They pull from Puente's placement experience, recruiter observations, public competitor materials, published job listings, and the visible user experience of the competing platform.
They are not neutral encyclopedias. They are practical guides for candidates trying to decide where to spend time. If a competitor changes its product or model, the page should change too.
How often pages are updated
The jobs board changes fastest and is tied to live openings. Guides, comparisons, salary pages, role pages, and country pages are reviewed on a slower cadence and should show an updated date when they are materially revised.
Freshness matters, but fake freshness is worse. We would rather leave an older date in place than change a date without changing the substance of the page.
How AI and automation are used
AI can help with outlining, cleanup, or early drafts. It does not get the final word on what Puente publishes. A human on the Puente team reviews published pages, checks claims against the underlying material, and decides what goes live.
The last pass is still human. If a page sounds slippery, oversold, or too neat for the evidence underneath it, it is not ready yet.
If automation helped produce a page, the standard is still the same: the final page has to be clear, specific, and worth reading even if someone lands on it directly instead of through search.
Limits, caveats, and plain old honesty
These pages are informational. They are not tax advice, legal advice, immigration advice, or a guarantee of an offer.
Remote hiring changes. Compensation changes. Competitors change. A good methodology page should admit that dates matter and that some pages will age better than others.
If you want the shortest path through the site.
Start with the company page if you need the short version. Then use the pages below depending on the question you are trying to answer.
About Puente
Short definition, fit, process, and core facts.
Open page →Jobs
Live openings and application flow.
Open page →Country guides
Country-level hiring and salary context.
Open page →Role guides
Role-specific expectations, pay, and skill patterns.
Open page →Compare pages
Candidate-side comparisons of Puente and other routes.
Open page →Resource guides
How-to, salary, and interview guides for candidates.
Open page →Editorial team
Who owns published guidance and how pages get built.
Open page →Recruiting team
Who pressure-tests the market claims inside the guides.
Open page →FAQ
Are Puente's public numbers first-party or third-party?
Figures like placements, acceptance rate, and retention rate are first-party claims from Puente's own operating data. Market commentary around salaries or competitor pages can also include external source material and observed hiring patterns.
Does Puente use AI to write content?
AI may assist with outlining or editing passes, but Puente's published pages are reviewed by a human before they go live. The goal is not volume for its own sake. The goal is pages that are clear, useful, and fact-checked against the underlying source material.
How should readers interpret salary ranges on the site?
As directional market guidance, not as a promise. Salary outcomes still depend on the role, country, company, experience level, and how a specific search is priced.