Services · from the team behind tripprimer
The engine that writes and maintains this site is for hire.
Standfirst is an AI marketing OS with SEO growth at its core. It turns a brief into keyword research, structured articles, social posts and distribution, then keeps the pages true after they ship. Every guide on tripprimer.com came out of it.
The proof is the site you are on
54
guides live
every one validated before it shipped
9
cities covered
2 countries, four decisions each
75
comparison tables
real figures, readable on a phone
446
FAQ answers in the HTML
the part answer engines quote
Counted from the content folder when this page was built, not typed in. 54 of the 54 guides were re-verified in the last 30 days.
Most AI content tools stop at the draft. The draft was never the hard part.
The hard part is everything around it: knowing which question to answer, putting the figures in a shape a reader and a search engine can both use, catching the page that is quietly wrong, and going back when the price changes.
Standfirst runs that whole loop for a workspace. Small teams currently split it across a keyword tool, a CRM, a writer and a spreadsheet nobody opens. It is one system with one history, and the pages it makes are built to be cited, by Google and by the answer engines that now sit on top of it.
One page, taken apart
Here is what the engine made for one real guide, and the five steps it went through.
where to staySeoul
Hostels in Seoul: Which Area, What a Bed Costs, and the Ones Worth Naming
- Keywords it was built to answer
- hostels in seoulbest hostels seoulseoul backpacker hostels hongdaeare hostels in seoul safe?cheap hostels seoul
- The short answer, on the page before the prose
Hongdae holds most of Seoul's hostel beds and the direct airport train — the default for a first backpacking visit.
A dorm bed runs ₩25,000–45,000; weekends add 20–30%, and the blossom and foliage weeks sell out the good ones a month ahead.
- FAQ answers in HTML
- 8
- Last verified
- 2026-10-05
Step 01
Research before a word is written
Keyword clusters from search data, then the entities behind them: areas, venues, routes, properties. The brief becomes a map of what a reader is deciding between.
Step 02
A structured draft, not a blog post
Short answer first. Then comparison tables with real figures, fact lines, an FAQ, and schema for all of it. The prose sits between the data, not instead of it.
Step 03
A validator that can say no
Frontmatter, dates, links, licences and table shape are checked on every build. A page that fails does not publish, and nobody has to remember to look.
Step 04
Published through a pipe
Notion to repository to production on a schedule, with the search engines pinged on arrival. One click in, a live URL out, every attempt logged.
Step 05
Re-verified on a cycle
Prices, dates and rules are the things that go stale. They are rechecked on a cadence and the verified-on date on the page moves when they are.
What a workspace gets
An operating system for content, not another writer.
SEO growth at the core
Not a writing tool with an SEO checkbox. Keyword research, intent mapping and entity modelling are the first step of every piece, and the measure of whether it worked.
Built for more than one brand
Organisations hold workspaces; a workspace holds one brand's positioning, voice, channels and content. Agencies and multi-brand teams run them side by side.
One stack instead of four
The research, the drafting, the distribution and the reporting that small teams split across HubSpot, Ahrefs, a copywriter and a spreadsheet, in one place with one history.
The numbers come back
Views, clicks and rankings attach to the record that published the piece. The next brief starts from what the last ten earned, not from a blank page.
Who this is for
Niche publishers
You have a topic readers compare options in, and a site that has stalled at a few dozen posts. The engine takes it to hundreds of maintained pages without a newsroom.
SMB marketing teams
One or two people covering search, social and email for a product. You get the research, the drafts and the reporting in one place, in your voice, on a cadence.
Agencies and multi-brand operators
Several brands, each with its own positioning and channels. Workspaces keep them apart; the engine and the learning are shared.
Questions people ask first
Is this an agency or a software product?
A product with a person behind it. Standfirst is the software; the first engagements are run hands-on, the way this site is, so the workspace is set up around your positioning rather than a template.
Does it only do travel?
No. Travel is the first live tenant because it is the hardest test: prices, dates and rules change weekly and a stale page is worse than none. The same pipeline runs for any niche where readers compare options before deciding.
What does 'built to be cited by AI search' mean in practice?
Every page is modelled as entities with structured data, a short answer block, tables with real figures, and an FAQ that is in the HTML, not loaded later. That is what answer engines lift when they cite a source. The site you are on ships all of it on every guide.
What happens to pages after they are published?
They are re-verified on a cycle. Each guide carries a verified-on date, time-sensitive fields are checked, and anything that fails the validator does not ship until it is fixed. Publish-and-forget is the failure mode this exists to replace.
Why the name?
A standfirst is the newspaper term for the lines under a headline that give the answer before the article begins. Every guide on this site opens with one. The product is named for the habit: lead with the verdict, then show the working.
How do we start?
Leave an email below. You get a reply from a person, a short call about what you publish and where it stalls, and a scoped first month with a number on it.