Technical SEO audit: what to fix first
An audit that lists two hundred issues is a document, not a plan. Ranking findings by the traffic they put at risk turns it into a work queue.
Core Web Vitals withoutStart a projectthe guesswork
Lab scores are a diagnostic, not a target. What decides the ranking signal is what real devices on real networks actually measured.
Placeholder article. The structure, contents list, related services and recommended reading are all wired; the text below is a scaffold so the layout can be reviewed. Replace it before this article goes anywhere near a reader.
What the problem actually is
This section exists so the contents list has something to build from. In a finished article it would set out the situation the reader recognises, in their own terms, before any solution is mentioned.
How it is usually approached
The second section. Written articles use this place to describe what most teams try first and why it stops working at a certain scale.
What we would do instead
The third section. This is where the article earns its place: a specific approach, with the trade-offs named rather than hidden.
How to tell whether it worked
The closing section. A number to watch, and the point at which you would stop if the number does not move.
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What makes a landing page convert
Most underperforming pages fail for the same three reasons: they load too slowly, they offer competing actions, and nobody can say where the visitor was lost.
AI assistant or chatbot: which one you actually need
The difference is not the technology but what the thing is allowed to do. One answers from a script, the other reads your data and acts on it.
Testimonials
All testimonialsNeuroHub took a month of manual work off our support team.
The AI assistant resolves two thirds of tickets before a person sees them, and the handover to an agent is clean. We measured it weekly with them and the numbers held.
Sarah Thompson
COO, logistics operator
A rebuild that actually got faster, not just prettier.
Core Web Vitals went green on every template and organic traffic recovered within a quarter. The team explained every trade-off before making it.
Wade Warren
Head of e-commerce
Working with NeuroHub was a pleasure.
They said no to two ideas we had and were right both times. What they did build has been running for a year without us touching it.
Lisa Williams
CEO, HealthTech startup
The first agency that handed over documentation we could use.
Our own engineers picked the project up in a week. Prompts, evaluations, tracing — all there, all explained.
Jennifer Lee
CTO, B2B services
Frequently asked questions
View allHow long does a first project take?
A single well-scoped automation typically runs four to eight weeks from kickoff to production. An AI feature inside an existing product with real integration work runs eight to sixteen weeks. The biggest variable is how many systems we have to touch, not the AI itself.
Do we own the code and the infrastructure?
Yes. Everything runs on your accounts and your infrastructure, and the repository is yours from the first commit — source, prompts, evaluation sets and documentation included. We are happy to stay on for support, but nothing is built so that you have to keep us.
What does it cost to run after launch?
Inference is usually the smallest line: a support agent handling ten thousand conversations a month typically lands in the low hundreds of dollars. Budget fifteen to twenty-five per cent of the build cost per year for maintenance, which covers failure reviews, prompt updates and model migrations.
How do you handle sensitive data?
We work inside your infrastructure and your data boundaries, use providers with zero-retention terms where required, and can deploy against self-hosted or regional model endpoints when regulation demands it. Data handling is agreed in writing during scoping, before any build starts.
What if AI turns out to be the wrong tool for our process?
We will say so. Part of the audit output is a list of processes that should not be automated yet — because the rules are not clear, the volume is too low, or classic software solves it more cheaply. Those lines are often the most valuable part of the engagement.