They’re great at coming up with ideas that just work, and the execution velocity is high enough that we see all of them through. That generates results for us.
$7.83M qualified pipeline in 10 months
Read the AirOps case study
Frontal offers SEO for technology companies with a sales team: we research the searches and AI questions your buyers use, from the engineers who check the details to the leaders who sign. Our writers build each page from interviews with your engineers and product team, who check it for accuracy before it goes live.
Illustrative workflow
Worked with 300+ companies
They’re great at coming up with ideas that just work, and the execution velocity is high enough that we see all of them through. That generates results for us.
$7.83M qualified pipeline in 10 months
Read the AirOps case study
I wanted the outcome of a BDR team, but more efficient and effective.
$300K+ pipeline in 9 months
Read the Teikametrics case study

The Frontal team is everything you’d want in a consulting partner: true experts with both strategic insight and hands-on execution.
20 opportunities in the first 20 days
Read the Playbook case study
Who it is for
For technology and software companies from Series A onward with a sales team, whose buyers include engineers, IT or security reviewers who read before they talk to sales.
Your pages describe the product in general terms, so engineers and IT reviewers can’t tell how it works or whether it fits.
AI assistants answer technical questions about your category from other sites, because your pages don’t state the specifics.
Outside writers can’t explain how it works, and your engineers have no time to rewrite every draft.
What you get
We turn what your engineers and product team know into pages that answer buyers’ questions, then check where they rank and whether AI answers cite them.
We find what each buyer searches and asks AI assistants, from the engineer checking how it works to the leader comparing vendors.
Use-case and comparison pages, FAQ pages and articles, written from interviews with your engineers and product team, who check every page before it goes live.
Where the pages rank, whether AI answers name you and the inbound conversations they start, with pipeline counted only where your CRM records the source.
How it works
We review your site, what it ranks for today, what AI answers say about your product and how search traffic reaches your CRM.
We interview your engineers and product team, and agree with you the questions each buyer asks.
Our writers draft each page from the interviews and the research, your experts check the technical details, and your team approves it.
We add structured data, markdown versions and an llms.txt file so AI assistants can read the details, working with your web team or in your site’s CMS.
We report rankings, AI answer checks and pipeline from your CRM, update the pages that slip and plan the next ones.
Tools
We start with the tools you have and suggest a change only when it fixes a real problem.
Your options
Each option suits a different team. The last row says when each one is the better choice.
| Compared on | Frontal | In-house hire | Freelancer | Tech content agency |
|---|---|---|---|---|
| Who does the work | Our writers interview your engineers and product team, then write the pages with them. | A content or SEO marketer you hire, who still needs your engineers’ time. | A freelance technical writer or SEO consultant, for a set of articles or an audit. | An agency team of writers covering many technology clients from a content calendar. |
| How fast it starts | First week: kickoff and access. Month one: interviews and research. Months two and three: publish and improve. | Once the role is hired and onboarded. | As soon as you find one and agree the scope. | Once the content calendar and the briefs are agreed. |
| What you keep afterwards | The pages on your site, and the research and interviews behind them. | What they build, and their know-how while they stay. | What they hand over when the project ends. | The published articles. Ask about the briefs and the research. |
| How it’s paid for | A fee agreed in a statement of work, starting with a three-month engagement. | A salary and benefits, plus the cost of hiring. | By the hour, the day or the project. | A monthly retainer, often set by the number of articles. |
| Best when | Your buyers check technical details, and you want search judged on pipeline in your CRM. | Search is a long-term channel and you can hire someone who knows your product. | You need a set of technical articles or an audit, and your team runs search after. | You want a steady volume of articles, and technical depth matters less. |
How to start
We start with a three-month engagement. The scope, milestones and owners are written into a statement of work before anything starts, and ongoing terms are agreed before work begins.
First week
We hold the kickoff call, get access to your site, analytics, search tools and CRM, and agree the products and buyers to start with.
What you do One kickoff call, and access to your site, analytics and CRM.
First month
We interview your engineers and product team, audit your site and research what your buyers search and ask AI assistants.
What you do Make time for the interviews, and agree which questions matter most.
First three months
In month two we publish the first pages, checked by your experts, and connect them to reporting in your CRM. In month three we review rankings, AI answers and inbound with you and plan the next pages.
What you do Check each page for accuracy before it goes live.
Ongoing
Bring your current setup, and we’ll walk you through how the first three months would look for your team.
The price depends on scope, channels and volume. We agree it in a statement of work before we start.
It works on how a technology company shows up when buyers search for the problem it solves and ask AI assistants about it. With us, that means research into what each buyer asks, pages written from your engineers’ and product team’s expertise, a site AI can read, and reporting on rankings, AI answers and pipeline.
The products are harder to explain, and the buyers check. An engineer or a security reviewer reads for specifics, and an AI assistant can only quote the details a page states. So the pages have to be written with the people who built the product and checked by them, not written from a feature list.
Yes: AI assistants draw on web pages to answer technical questions, so a page that states the specifics clearly can rank in Google and be quoted in an answer. What changes is the measure: whether the answers name you, as well as where you rank.
Research into what your buyers search and ask AI assistants, interviews with your engineers and product team, the pages that answer buyers’ questions, structured data, markdown versions and an llms.txt file so AI can read your site, and reporting on rankings, AI answers and the pipeline your CRM records.
A technical writer can explain the product well. An agency also finds the searches and questions buyers use, plans which pages to write, makes the site readable for AI and reports what the pages bring in. Our writers work from your engineers’ answers, and we handle the rest.
Ask who writes the pages and how they get the technical details right, how they pick the searches, and how they connect rankings to pipeline. With us, your experts check every page for accuracy and your team approves it before it goes live.
Pricing depends on the services in scope and the tools you already have, so we set it on the call, not from a rate card. The scope, milestones and owners go into a statement of work, and we start with a three-month engagement.
No, we don’t guarantee rankings, AI citations, meetings or pipeline. We agree goals with you before we start, report what happened and adjust the work.
Tell us who your buyers are, and we’ll suggest which questions to answer first.