LinkedIn's clicks are expensive and its audience data is unmatched. We build programs judged on qualified pipeline and closed revenue, with the CRM plumbing to prove it.
LinkedIn punishes sloppy programs harder than any other channel because the clicks cost so much. The fix isn't clever bidding — it's tight account and title targeting, offers matched to where the buyer actually is, and a closed loop from ad click to closed-won in your CRM. We build all of it, then optimise on pipeline value instead of cost per lead, because cheap leads from the wrong companies are the most expensive thing you can buy.
A $40 lead from a company that will never buy costs more than a $400 lead from one that will.
— Arise GEO, LinkedIn Ads Agency
If your LinkedIn reporting stops at form fills, you're optimising the top of a funnel nobody downstream trusts.
— Arise GEO, LinkedIn Ads Agency
ABM lists, job function and seniority layering, company-size gating and exclusions that keep spend off students, competitors and unreachable segments.
Document ads and thought-leader posts for cold audiences, demos and pricing pages only where intent supports them.
UTM discipline, CRM field mapping and offline conversion imports so LinkedIn optimises toward opportunities rather than raw leads.
Reporting runs on sourced pipeline, opportunity rate and payback period, with cost per lead as a secondary diagnostic only.
We can promise this because our methodology already works. Hundreds of pages now sit in position #1 across our clients' catalogs. The risk shouldn't be on you — it's on us.
Around $10,000–$15,000 a month in media for a program with enough volume to learn from inside a quarter. Below that, expect a longer read and tighter targeting to compensate.
Forms convert far better and qualify slightly worse. We typically run forms for top-of-funnel content and landing pages for demo and pricing intent, then compare on opportunity rate rather than lead volume.
We insist on it. The first workshop settles the MQL and SQL definitions and the feedback loop, because optimising toward a definition sales doesn't accept is wasted spend.
Paid media management runs $6,500–$14,500 per month depending on spend and channel count; a one-off paid media audit is $4,500. We don't take a percentage of spend — that model rewards us for spending more of your money, not for making it work.
Always. Accounts, pixels, conversion data, creative files and audiences stay in your business manager under your ownership. We work inside your accounts as a partner, so if we part ways you keep every asset and every day of learning history.
Implement our 90-day plan and if the agreed leading indicators don't move within 3–6 months, we refund our fees in full. The guarantee covers our fee, not your ad spend — no agency can guarantee auction outcomes, and anyone who does is guessing.
Three layers, in order. First, entity clarity: one canonical Organization with @id anchors, sameAs links to authoritative databases, and knowsAbout coverage of your real expertise. Second, extractable content: atomic answer blocks, comparison tables, transparent pricing and specs, and FAQ blocks on every commercial page. Third, corroboration: mentions in the roundups, directories, review platforms, and trade publications those engines retrieve. Measure it by probing a fixed set of buying questions monthly and tracking citation frequency per engine.
Citability. AI engines lift passages that answer one question completely in 40–80 words, in plain language, with a concrete number, definition, or list. Pages that bury the answer under narrative rarely get quoted. We rewrite key pages so every important question has a self-contained answer block, wrapped in schema that labels what it is.
Yes, because AI answers are built from indexed pages. Every major assistant retrieves from a crawled index, so pages that aren't crawlable, renderable, or structured never enter the candidate pool. Classic SEO is now the entry requirement for AI visibility, and the two programs share almost all of the same work.
Technical recovery and on-page work typically show movement in 30–60 days. AI citation lift on long-tail and comparison queries usually lands in 30–90 days. Category-level authority and head-term rankings are a 6–12 month curve. Every engagement ships a sequenced 90-day plan so early wins fund the long work.
You get a forensic audit, a prioritized 90-day execution plan with effort and impact scoring, and optional done-for-you implementation by our engineers and editors. Pricing is scoped per engagement based on catalog size, locale count, and whether you want execution included. Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full.
Audits scoped within 24 hours. Results within 90 days, or your money back.
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