AI Search and Marketing Systems Consultant
Search answers before it lists. I help marketing teams find out what AI answers say about them, then rebuild the systems behind their marketing so AI produces revenue instead of drafts.
If your positions are stable but your organic traffic is falling, the likely cause is not a penalty or an algorithm update. It is that the answer now appears above the result, so the click that used to follow a ranking no longer has to happen.
The work is no longer ranking a page. It is making your content retrievable, quotable and attributable, then measuring whether answer engines actually cite you. That is a different measurement problem from the one most marketing teams are still reporting on, and it is the gap this site is about.
The problem
Your organic rankings look fine. Your traffic does not. The questions your content used to win are being answered on the results page, and assistants are naming your competitors in replies you never see.
Most teams respond to this by publishing more. That treats a measurement problem as a volume problem, and it is why the output goes up while the pipeline does not.
A buyer asks a question and reads a synthesised answer. Your page may well be one of its sources. That is a visit you never see in your analytics, and a mention you are not measuring.
Position three still matters, because being in the source set is a precondition for being quoted. But a rank on its own no longer predicts a visit, and reporting that stops at rank now hides the thing that changed.
Rank trackers answer where you sit in a list. They do not answer whether an answer engine can retrieve you, whether it trusts you enough to quote you, or which competitor it quoted instead.
How I help
Start with a diagnosis. Move to a system once you know what is actually broken. Every engagement ends with something you can act on without me.
We are losing visibility and cannot see where.
A fixed-fee diagnostic of where you stand across AI assistants and traditional search, which questions you have stopped appearing for, and what is worth fixing first.
AI is producing drafts, not revenue.
The team adopted the tools and output went up. Pipeline did not. Content operations, workflows and tooling rebuilt so the output reaches qualified pipeline instead of stopping at volume.
My team needs to use this, not just hear about it.
You have the team and the budget. What you want is your people building with AI in a working session run by someone who has done the work, not sitting through a keynote about it.
Recent thinking
One idea per piece, always something you can use.
AI in email marketing works best on the high-volume, measurable parts: segmentation, send-time, testing, and first-draft copy. These are pattern problems where AI beats manual effort. It overreaches on brand voice, strategy, and judgement. The rule is the same as everywhere in marketing: give AI the toil, keep the judgement, and check anything that reaches the customer.
CRM data quality is how accurate, complete, consistent, and current your CRM records are. It matters because every downstream system, attribution, lead scoring, automation, reporting, and now AI, is only as good as the data feeding it. Dirty data does not announce itself; it quietly produces wrong numbers and misfired campaigns. Keeping it clean is an ongoing discipline, not a one-off project.
A drip campaign is a fixed sequence of messages on a time-based schedule. Marketing automation is the broader category: any marketing triggered by software, including behaviour-based, branching, multi-channel flows. So a drip is one simple type of automation. The difference that matters is time-based versus behaviour-based: a drip runs the same steps on a timer, automation adapts to each person.
Viken Patel
Consultant
About
I have spent 17+ years inside marketing teams rather than adjacent to them. Most of that was operator work: owning the number, not presenting a deck about it. When I ran marketing for a SaaS hospitality company, I learned that the constraint is almost never the channel. It is the system feeding it.
That is what I do now. I diagnose why a company is losing visibility as search moves to AI answers, and I redesign the marketing system underneath so the output reaches revenue. Strategy, audits and workshops. Implementation is handled separately by theCSS Agency, so the diagnosis and the delivery never get confused with each other.
That is the difference this brings to an engagement: not AI opinions, but 17+ years of knowing how marketing systems actually break.
Before you change anything, find out what is actually broken. The audit maps which questions you appear for, which sources are cited instead of you, and what is recoverable. You get the findings whether or not we work together after it.