A clear path from day one to your first result.

Our technology team runs structured experiments to understand how AI search surfaces information and how brands earn visibility within it, from retrieval signal testing and retrievability modeling to entity-clarity scoring. This research directly informs every strategy we build.

“We don’t just follow the current search playbook. We test, measure and help write the one for how people find answers in the age of AI.”

Every recommendation has a rationale, and every initiative maps to an opportunity. We prioritize based on potential impact and unify SEO and AI search reporting, tracking qualified traffic, conversions, revenue contribution, and citation visibility, so your stakeholders can see exactly how search contributes to growth.

“Every decision we make is tied to a number. If it doesn’t move traffic, rankings or revenue, it doesn’t make it into your strategy.”

We operate as an extension of your marketing team, collaborating with your content, technical, product, and leadership stakeholders to build a search strategy that supports your business goals.

“Think of us as an extension of your team. Your goals become our goals, and we bring every search channel together to reach them.”

You get a login, not a monthly PDF. The roadmap, the tasks in progress, rankings, indexation, backlinks, AI citations query by query and paid spend all sit in one place, refreshed daily. It means you can check where things stand at 9pm on a Sunday without emailing anyone, and it means the numbers we discuss on a call are the numbers you have already seen.

“If a client has to ask us what we did last month, the reporting has already failed.”

What is planned, what is in progress and what has shipped, month by month, with each item tied to the outcome it is meant to move. You can see what we are working on right now without asking, and what is queued behind it, which also makes it easy to tell us when your priorities change.

Clicks, impressions, positions and the pages producing them, next to the technical health of the site: Core Web Vitals, indexation, crawl errors, redirect chains and pages that have dropped out. Search Console and analytics data sit in the same view as the technical checks, so a traffic drop and the change behind it are on one screen rather than in two tools.

Every article in the pipeline and its current state: briefed, drafted, with you for review, published. Each published piece carries the questions it was written to answer and how extractable it is for an AI answer, so you can judge whether the content is doing the job it was commissioned for rather than counting words shipped.

Which of your pages the engines quote, and which pages they quote instead of you. Every citation is logged with the engine, the prompt that triggered it and the URL it pointed to, so you can tell whether the page you invested in is the one being used. When a competitor's page or a third-party listicle keeps getting cited on your topic, it shows up here first, and it is usually the fastest thing to act on.

The visits arriving from ChatGPT, Perplexity, Copilot and Google's AI surfaces, separated out from ordinary organic traffic. Volume from these sources is usually small next to search, so the number worth watching is what those visitors do after they land, which is why conversions sit on the same screen instead of a separate report.