We probe ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode with the buying questions your customers actually ask — then show you exactly where you're cited, where a competitor is, and why.
Most companies have no idea what AI assistants say about them. We run a structured probe across the five engines buyers actually use, log every answer, and score your brand on citation presence, position inside the answer, sentiment, and share-of-voice against named competitors. You get the raw transcripts, the scorecard, and the exact page-level work required to change the answer.
Ranking #1 no longer guarantees you're in the answer. In AI search, the shortlist is the SERP.
— Arise GEO, AI Visibility Audit
If an AI engine can't state what your company is, who it serves, and what it sells in one sentence, it will cite a competitor that can.
— Arise GEO, AI Visibility Audit
We build a 100–300 query probe set from your GSC data, category taxonomy, and sales objections, then run it across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode.
For every query you lose, we trace the cited sources back to their retrieval trigger: schema, entity presence, page structure, or third-party authority.
Every finding maps to a specific page edit: an entity anchor, a schema node, an atomic answer block, a comparison table, or an off-site citation target.
The same probe set re-runs monthly so citation share is a tracked metric, not a vibe. You see exactly which fixes moved which queries.
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.
Rank trackers report blue-link positions. We report whether an AI engine names your brand inside its answer, where in the answer, in what context, and against which competitors. Those are different retrieval systems with different winners.
Yes — they're probabilistic. That's why we run each query multiple times per cycle and report citation frequency rather than a single snapshot. Consistency across runs is the signal that matters.
Usually yes. Factual errors almost always trace to a stale third-party source, a missing entity anchor, or contradictory on-site copy. We identify the source and prescribe the corrections that propagate.
For long-tail and comparison queries, 30–60 days after implementation is typical. Head-term and category-defining queries take 3–6 months because they depend on off-site authority accumulation.
No — it extends it. AI engines retrieve from the same crawled index. A page that renders badly or isn't indexed can't be cited. Technical SEO is the floor; AI visibility work is the ceiling.
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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