SaaS SEO
Find MRR with our SaaS-tellite technology
LLMs & GEO
Optimize for HAL 9000
Reddit Organic Marketing
Go boldly where no business has gone before
AI Tool Case Study
Case Study: Building a bottom funnel focused content SEO strategy.
Fintech Case Study
Case Study: Scaling content through a wordpress re-launch.
Technical Content Engine
Man + machine content flows
Though Leadership
Authors who've built, shipped and debugged
Content Ideas for Product Led Teams
How we turn a single idea into multiple content types.
GEO Tracking
AI navigation on auto pilot
Conversion Tracking
Navigational maps for your saas journey
SaaS Citation Research
Which resources do LLMs site for SaaS tool recos.
Youtube Citations in LLMs
Is YouTube a factor in LLM recos?
Team
The galactic senate
Case Studies
Starship graveyard
Knowledge Base
A Hitchhiker's Guide to SEO
Blog
If you can find space for more reading
UX Strategies for SEO
Analysis: What impact does UX have on your rankings?
SEO First Blog Design
Guide: Designing your blog for sales
Why We Focus on Execution
Why implementation beats recommendations
AI Rank Check
Free Backlink Checker
SaaS GEO Audit
Written by people who have shipped
We recruit a expert-authors for your stack, build the content program around your ICP then publish and distribute content to impress even the most technical customers.
Three programmes we run, and what the author-led approach returned on each.
411
brand mentions for DeepInfra across 42 developer communities, with zero callouts or account flags.
1,230+
AI citations for Fraud.net by from a starting point of zero.
400+
Monthly organic conversion signals from a developer audience for Llamaindex.ai
How we do it
Recruited for your stack, specialists not generalists.
We do not keep a bench of generalists and rotate them onto accounts. For each client we run a fresh search for a developer-author who has shipped in your stack, because the reader is an engineer or a CTO who evaluates infrastructure for a living and notices when a writer learned the category last week.
You get content written by experts who’ve researched and tested the latest libraries, models or regulations in their own free time.
Get in Touch
Every release becomes a kit, not a single post.
Every release becomes a repeatable kit of content rather than a single post. Maybe it’s a build guide or an opinion piece on a new feature.
This way your audience stays connected and engaged with more than just press releases. And LLMs reward you with mentions and citations for having input on the latest trends.
Depth a buying engineer is looking for.
Build guides, architecture pieces and benchmarks carry the detail a buying engineer is looking for: a runnable example, code samples and an honest pros and cons analysis.
Your ICP gets education and your brand builds a little bit more equity with every view.
Developers research in communities before they reach your site.
Reddit is where developers research tools before they reach your site, and it is a primary source for AI Overviews, ChatGPT and Perplexity when they answer which API or tool to use. We build and run the accounts, answer real threads, and bring your product in where it genuinely fits.
Every piece then ships everywhere your buyers already are, with the post rewritten for each surface rather than pasted across them.
Make sure your content is found
A technical buyer now asks an LLM which tool to use before anything else. Our prompt & keyword research helps you know what those questions will be before your competition.
Your features, build guides, benchmarks and analysis will be based around real user prompts and while our content is written for users first, it’s also influential in influencing LLMs – our depth and prompt based coverage pays twice.
It puts you in the answer when someone asks which API to use, and it finishes the evaluation before the call — the people who book have already read the guide, run the code and decided you are credible.
Us Vs Them
MONTH-TO-MONTH CONTRACTS We recruit the author, run the content schedule, and take the work to the communities your buyers read. Month to month, cancel anytime.
A new author search for every client.
We recruit for the stack, and while we have a bench of strong developer-authors we want to find the best expert for you. The search starts in week one, runs across dev.to, Medium, GitHub and developer blogs, and ends with paid trial tasks graded on work we can read.
We execute, we don’t just advise.
Briefs, drafts, editing, publishing, launch kits, community work and reporting. Design strategy, prompt strategy, analytics and conversion set up, landing page build outs, we handle content & visibility end to end.
Built for technical products.
We work with developer tools, infrastructure, fintech and identity products, where the reader is an engineer, a CTO or a compliance specialist, and where generalist content gets found out immediately.
Author-Led Programmes
We will look at what you have published, what your engineers already wrote internally, and where your category is being discussed without you.
DeepInfra, across 42 developer communities, with no callouts or account flags.
fraud.net, by April 2026, alongside 5.6% share of voice against named competitors.
Microblink, with organic value reaching $33,000 a month.
ReadMe, over six months of content and authority work.
Tell us about your product and we will tell you what your content is missing.
4.9 Rating
Reviewed on Clutch
B2B SEO Specialists
Name
Email
Domain url
Concerns
We run a fresh search for a developer-author who has shipped in your stack, lead outreach with the rate, and pay for trial tasks graded on real work.
We write down what the product is, who it is for and what it replaces, then collect the benchmarks, docs and internal write-ups the author will build on.
Your release schedule sets the dates. Each release gets a kit: the announcement, the pages that catch buying intent, and an integration guide.
The author interviews your engineers for 25 minutes per piece and turns design docs, benchmarks and talks into guides worth citing.
We run the Reddit presence, answer real threads, and ship every piece to the channels your buyers already read, rewritten for each one.
Conversion events, a dashboard, and prompt tracking that shows whether the assistants recommend you or a competitor.
Starting at $5,000
A ready-to-go SEO foundation tailored for growth. Includes technical audits, keyword strategy, and essential tracking. Ideal for teams starting strong and scaling smarter, with data-driven execution and expert guidance.
Best for scaling start ups
Starting at $ 8,000
Full-stack SEO partnership for ambitious teams. Custom sprints, cross-functional execution, dedicated support, and continuous strategy refinement. Designed to scale complex websites and drive measurable results across search and conversion.
Best for hyper growth and competetive markets
All plans are subject to a discovery call to ensure proper fit and accurate scope.
Web Development for an Investment Management Firm
"AUQ’s biggest strengths were their agility and solution-oriented approach."
- Director Of Communications, Investment Management Firm
Website Redesign & SEO for a Pet Odor Products Manufacturer
"Their service was outstanding, and it didn't stop after they completed our website."
- Director of Operations, Odors Away LLC
Website Development & Maintenance for a Design Company
"They’re great at explaining the technology and suggesting solutions that can save time and money."
- Founder & Design Director, Tsang Seymour LLC
Web Design & Development for a Nonprofit Organization
"I’m impressed by their openness to listen — they want to make sure we’re happy with the results."
- Executive, Nonprofit Organization
SEO & WordPress Web Development Services for an E-Commerce Company
"After seeing so many difficult site launches, I’m blown away by how smooth their process is."
- CEO, A Digital Agency
Web Development & SEO Work for Casino Company
"AUQ’s project management has been excellent."
- COO, Casino M8trix
Website Redesign & SEO Strategy for Food & Beverage Co
"Their SEO research and ability to break it down to us were impressive."
- CTO, COWM INC
Jaime Orozco
Designer
Radu Judele
Analytics Specialist
Shahnewaz Kabir
Community Architect
Kirill Sajaev
Founder & Lead SEO
Muhammad Talha
Content Strategist
Sergey Bezdudnyy
Web Developer
Lacey Rasmussen
Director of SEO
Aly Goulet
Walter Martin
Technical Director
Keira Davidson
SEO Manager
Stephan Miller
Dev Ops Author
Brendan McConnell
SEO & Content Manager
Michael Weaver
Development
Wanda Scordo
UX Designer
Content by AUQ
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No. We run a new author search for each account, because the author has to have shipped in that client’s stack. A writer who is credible on inference APIs is not automatically credible on identity verification or payments.
We search dev.to, Medium, GitHub and independent developer blogs by the tags of your stack, and shortlist people whose published work matches their repositories. Generic job posts mostly attract content marketers who need the product explained to them.
A paid trial task. The author gets a short product description, a sandbox account and one broad topic, then proposes the outline and writes the piece. We grade idea generation, whether the code runs and the caveats are real, and whether the claims are verifiable.
About 45 minutes per piece: a 25-minute interview where the author collects the details, and a 20-minute review where your engineer checks facts and code. The wording stays with the author.
The announcement written in your positioning language, a comparison or pricing page for the buying intent the release creates, and an integration guide with a working sample and the common errors. On DeepInfra the same three slots run on every model release.
Developers research tools in communities before they visit vendor sites, and those threads are a primary source for AI Overviews, ChatGPT and Perplexity. We build and run the accounts, answer real questions, and mention the product where it fits.
Both. Each piece is rewritten for the channels your buyers use rather than pasted across them, and community work runs alongside publishing.
Conversion events tied to the page that produced them, plus prompt tracking that shows whether the assistants recommend you, who gets cited instead, and your share of voice against named competitors.