// Service_14

    Get your brand recommended inside ChatGPT.

    ChatGPT is now a top-five discovery channel for B2B and DTC buying research. We engineer the entity, source, and content surfaces that put your brand in the answer.

    ChatGPT answers buying questions from two places: its trained knowledge of your brand as an entity, and live browsing of sources it trusts. Most brands fail both. Their entity is ambiguous, their site content isn't structured for extraction, and the third-party sources ChatGPT reaches for don't mention them. We fix all three layers.

    // Key_Takeaways

    • ChatGPT recommendations are driven by entity clarity plus corroboration across independent sources.
    • Listicles, roundups, comparison pages, and community threads are disproportionately retrieved — they are a channel, not an afterthought.
    • One canonical description of your company, repeated consistently everywhere, outperforms clever copy.
    • Blocking GPTBot in robots.txt removes you from live-browsing retrieval entirely.

    AI models don't recommend the best product. They recommend the best-documented product.

    — Arise GEO, ChatGPT Visibility

    Consistency is the ranking factor of the AI era: one entity, one description, corroborated everywhere.

    — Arise GEO, ChatGPT Visibility
    3 layers
    Entity, source, content
    Weekly
    Citation probing
    llms.txt
    Authored and maintained
    180-day
    Money-back window
    // Entity

    Make your brand unambiguous

    A single canonical Organization entity with @id anchors, sameAs links to Wikidata, Crunchbase, LinkedIn and official registers, and knowsAbout coverage of your real expertise.

    • Organization @graph build
    • sameAs authority bridges
    • knowsAbout topical mapping
    • Founder / expert Person entities
    // Sources

    Own the pages ChatGPT reads

    We identify the roundups, directories, review platforms, and community threads that get retrieved for your category — then run placement and correction against them.

    • Retrieved-source mapping per query
    • Roundup and listicle placement
    • Review platform profile builds
    • Community and forum presence
    // Content

    Write for extraction, not scrolling

    Atomic answer blocks, definition-first paragraphs, comparison tables, specs, and pricing in plain HTML — the formats models can lift verbatim.

    • Atomic answer block rewrites
    • Comparison and alternatives pages
    • Transparent pricing and specs
    • FAQ blocks per commercial intent
    // Access

    Make sure the crawlers can reach you

    GPTBot, OAI-SearchBot, PerplexityBot and friends need access, clean rendering, and an llms.txt that maps your best content.

    • AI crawler access audit
    • Server-rendered content verification
    • llms.txt authoring
    • Sitemap and freshness signals
    // 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.

    Can you pay to appear in ChatGPT answers?+

    No. Organic ChatGPT recommendations aren't purchasable. They're earned through entity clarity, content structure, and third-party corroboration — which is exactly what this engagement builds.

    Should we allow GPTBot to crawl our site?+

    For almost every commercial site, yes. Blocking GPTBot removes you from live retrieval, which is where most current recommendations come from. Publishers with licensing strategies are the exception.

    What is llms.txt and do we need one?+

    It's a plain-markdown map of your most useful content for AI agents. Adoption is still voluntary, but it's cheap, harmless, and already used by some crawlers. We author and maintain one as part of the engagement.

    How do you measure progress?+

    A fixed probe set of buying questions is re-run on a schedule. We report citation frequency, position in the answer, and share against named competitors — plus assisted conversions from AI referral traffic.

    Does this help with Gemini and Perplexity too?+

    Substantially, yes. The entity and structure work is shared across engines. Engine-specific tuning (Perplexity leans heavily on freshness, Gemini on Google index signals) is layered on top.

    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.

    Become the brand ChatGPT names.

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

    Request Your Audit →