Searchline Partners is a senior search and demand generation practice for B2B companies. We design and build the systems that make your business the answer — across Google, ChatGPT, Perplexity, AI Overviews, and whatever comes next.
Your buyers still search on Google. But increasingly, they ask ChatGPT which vendors to shortlist, let Perplexity summarize the category, and read an AI Overview instead of clicking a result. Those engines answer before anyone visits a website — and if your business isn't retrievable, machine-readable, and cited, you lose deals you never knew existed.
Most providers cover a slice. SEO consultants stop at Google. AI-search specialists skip the technical fundamentals that make content retrievable in the first place. Demand gen agencies rent you their process and leave with it. The businesses winning right now treat search as one system — structured, measurable, and feeding every engine at once.
That's what we build.
If you want someone to manage rankings and send a monthly report, there are plenty of capable options. We're not one of them.
If you want the system built — how your business shows up across Google, AI engines, and whatever comes next, installed in your stack and owned by you — that's the conversation we're for.
Technical SEO at the architecture level: crawlability, structured data, entity relationships, search intent. The unglamorous groundwork that makes every other channel work — and that AI engines quietly depend on too.
Audits here end in installed systems — reporting engines, content pipelines, research agents — running in your accounts and owned by you. When we leave, the system stays and keeps working.
Not rankings, not traffic screenshots. Qualified visitors, AI citations, conversions, and the hours your team gets back. If a number can't be tied to the business, it doesn't lead a report.
You know what good looks like — there's just nobody in the building senior enough to deliver it. We fill that seat without the overhead or the ramp-up of a full-time hire.
Traffic looks flat, but the leads are thinning. AI engines are answering your buyers' questions without you in the answer — and nothing in your analytics shows it happening.
A technical audit that has to be right. An AI-search strategy your team can't credibly write yet. Overflow senior judgment on the accounts where being wrong is expensive.
Not another subscription and a vague mandate. Working systems — reporting engines, repurposing pipelines, QA agents — installed where they measurably save hours or make money.
Every engagement starts the same way: a paid Search & Demand Diagnostic — one to two weeks, fixed fee, ending in a prioritized system map and a working conversation about what to build first.
Technical SEO, site architecture, structured data and entities, content operations — the foundation layer that determines whether anything else can work.
READ →02Getting cited by ChatGPT, Perplexity, and AI Overviews: citation measurement, machine-readable content architecture, and the fixes that move retrieval.
READ →03Content strategy, conversion paths, email systems, and analytics that connect search visibility to pipeline — so the traffic means something.
READ →04Reporting engines, content repurposing systems, research and QA agents — built in your stack, owned by you, saving hours you can count.
READ →A prompt-tracking methodology with fixed sampling and published confidence intervals, run live across ChatGPT, Perplexity and AI Overviews — plus the scoring sheet, free to steal.
Most "AI-visibility" vendors are buying mentions, not building them. A checklist a marketing director can run against any vendor's deliverables before signing — where the mentions came from, and whether they survive a source-quality audit.
The full build — architecture diagram, honest running costs and limits, and sample output — of the Search Console reporting engine that ends the weekly "what's working?" meeting. Built, not advised.
Not a pitch call. Not a free audit with a sales deck attached. A working conversation about where your visibility actually stands, where the real problems are, and whether we're the right practice to fix them.