Demand capture for long sales cycles: bottom-funnel search, comparison content, AI answer visibility and LinkedIn built around the buying committee.
B2B buying committees do most of their research before they ever fill in a form, and a growing share of that research now happens inside AI assistants that summarize vendors without sending a click. Winning means being the answer at the moment of evaluation: ranking and being cited for comparison, alternative, pricing and integration queries, then giving a self-serve path for buyers who refuse to talk to sales yet.
In B2B, an MQL is a metric an agency can manufacture. Pipeline is one it can't.
— Arise GEO, B2B Marketing Agency
Your next buyer will read an AI summary of your product before they read your homepage. Whether that summary is accurate is now a marketing responsibility.
— Arise GEO, B2B Marketing Agency
Comparison and alternatives pages convert better than any thought-leadership post, because they meet the buyer at the decision instead of the discovery.
— Arise GEO, B2B Marketing Agency
We build the comparison, alternative, pricing, integration and use-case pages that buyers search at the end of the cycle, then make sure they're structured for both classic ranking and AI extraction.
We track how assistants describe your category, which vendors they list, and what sources they cite — then work the sources and entity signals that change the answer.
Paid runs against cost-per-qualified-opportunity, not cost-per-lead. Gated content is used sparingly, because gating your best asset behind a form hides it from the systems now doing the research.
We wire reporting to CRM stages so marketing is judged on opportunities and closed revenue with visible lag, rather than on a lead count nobody in sales believes.
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.
We agree leading indicators up front — qualified-opportunity creation, decision-query rankings, AI citation share, demo-page conversion rate — and report them weekly. Closed revenue is the lagging scoreboard, but nobody should wait two quarters to know whether the program is working.
Bottom-funnel first, nearly always. Comparison, alternatives and integration pages capture buyers already in-market and pay back inside a quarter. Thought leadership builds the entity authority that makes AI systems cite you, so it comes second, once the capture layer exists.
Yes. Sales calls are the cheapest research available — objections, competitor mentions and the exact language buyers use become the content brief. We join call reviews monthly and mine recordings where you have them.
Engagements start with a $4,500 forensic audit, credited into month one. Ongoing retainers run $6,500–$14,500 per month depending on scope, channel count and publishing volume. We don't bill a percentage of ad spend and we don't lock clients into 24-month contracts to hide slow starts.
A traditional agency optimizes for ten blue links and a paid auction. We optimize for those plus the answer layer — AI Overviews, ChatGPT, Perplexity and Gemini — where a growing share of commercial research now ends before anyone clicks. That means entity modelling, schema, citable content structure and measurement that separates classic organic clicks from assisted AI-influenced revenue.
Yes. Implement our 90-day plan and if the agreed leading indicators don't move within 3–6 months, we refund our fees. The guarantee covers our fee, not your media spend.
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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