We sell through distributors — will SEO create conflict?+
Not if it's scoped correctly. We focus your site on specification, capability, and technical authority content while distributors own transactional listings. Both sides gain.
Most of our content is in PDFs. Is that a problem?+
Yes. PDFs rank poorly, convert poorly, and are hard for AI engines to extract cleanly. We prioritize converting high-value specs into indexable HTML with structured data.
Do engineers actually use AI assistants for sourcing?+
Increasingly, for shortlisting and cross-referencing. The suppliers named are the ones with clean, structured, publicly accessible spec data.
How do you measure success for a manufacturer?+
RFQ volume and quality, quote-to-close rate on organic-sourced leads, and visibility for specification queries — not raw sessions.
How do we make sure our company shows up on AI platforms like ChatGPT and Gemini?+
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.
What actually makes a page get cited by AI instead of just ranked?+
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.
Is SEO still worth investing in now that AI answers so many queries?+
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.
How quickly can we expect results from an Arise GEO engagement?+
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.
What do we get, and what does it cost?+
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.