// AI_Search_03

    AI search visibility audit. Ten stages, one fix list.

    A forensic read of how every major AI surface sees your brand — retrieval health, entity resolution, structured data, corroboration and citation share — delivered as ranked, ticket-ready work.

    An AI visibility audit answers one question with evidence: when a buyer asks an assistant about your category, what happens, and why. We run ten stages, from crawl and render health through entity resolution, structured data, content extractability, off-site corroboration and a live citation probe across five engines. The deliverable is not a PDF of observations. It is a ranked backlog with effort and impact scoring that a developer or editor can start on Monday.

    // Key_Takeaways

    • Most AI visibility failures trace back to boring causes: unrendered content, conflicting canonicals, or an entity the model cannot resolve.
    • A baseline probe is the only way to prove later work moved anything.
    • Ranked tickets get implemented. Long reports do not.
    • Audit findings usually pay for themselves through classic search recovery alone.

    You cannot improve a citation rate you never measured.

    — Arise GEO, AI Search Visibility Audit

    Most AI invisibility is not exotic. It is a rendering bug with better marketing.

    — Arise GEO, AI Search Visibility Audit
    10
    Audit stages
    5
    Engines probed
    14 days
    Typical delivery
    $4,500
    Fixed fee
    // Stages 1–3

    Retrieval health

    Crawl, render and index parity across templates. We diff the server HTML against the rendered DOM to find content assistants will never see, then reconcile discovered URLs against what is actually indexed.

    • Rendered-DOM diff
    • Index parity reconciliation
    • Robots and llms.txt review
    • Soft-404 and thin-page detection
    // Stages 4–6

    Identity and structure

    Entity resolution across your site and the wider web, structured data validation at template level, and internal link topology that tells a model which page owns which topic.

    • Entity and @id graph audit
    • sameAs and profile alignment
    • JSON-LD validation per template
    • Internal link and hub topology
    // Stages 7–8

    Content extractability

    Whether your pages can be quoted. Heading-to-question matching, self-contained answers, specificity, and the presence of the qualifiers a model needs before it will recommend you.

    • Passage extractability scoring
    • Question coverage gaps
    • Specificity and evidence review
    • Duplicate and near-duplicate detection
    // Stages 9–10

    Corroboration and live probe

    Off-site mention inventory plus a live probe of 40–80 category questions across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode, with competitor share-of-voice.

    • Third-party mention inventory
    • Review and directory coverage
    • Five-engine citation probe
    • Competitor share-of-voice baseline
    // The_Contract

    The 180-day money-back guarantee.

    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.

    • 01We run the full 10-stage audit and deliver a sequenced 90-day plan.
    • 02You implement our recommendations (or hire us to implement them).
    • 03If you don't see measurable ranking and revenue improvement in 3–6 months — we refund you. In full.
    Lock in your audit slot →
    // Frequently_Asked

    Questions about this engagement.

    What exactly do we receive?+

    A ranked backlog with effort and impact scores, a rendered-DOM and index parity report, a validated schema map per template, an entity graph diagram, a five-engine citation baseline with competitor share, and a sequenced 90-day plan. Everything is in a shared workspace, not a static PDF.

    How long does it take?+

    Fourteen days is typical. Large multi-locale catalogues run to three weeks. We share findings as they land rather than holding everything to the end.

    Can you implement the fixes?+

    Yes, either as a done-for-you engagement or alongside your in-house team. Roughly half of audit clients take implementation, half run it internally with our tickets.

    Is this worth it if our classic SEO is already strong?+

    Often more so. Strong classic SEO means the foundations are there and the gap is usually entity resolution and extractability, which is faster and cheaper to close than a technical rebuild.

    What if the audit finds nothing worth fixing?+

    It has not happened yet, but the guarantee covers you regardless. Implement our 90-day plan and if you don't see movement in 3–6 months, we refund our fees in full.

    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.

    Start with the baseline.

    Audits scoped within 24 hours. Results within 90 days, or your money back.

    Request Your Audit →