// AI_Search_Fixes_11

    Fix across the web inconsistent brand information.

    Assistants state the wrong founding year, location, service list or company description, and sometimes confuse you with another business. Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently.

    This page is for brands being described inaccurately or confused with others. Assistants state the wrong founding year, location, service list or company description, and sometimes confuse you with another business. Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently. The work below is the sequence we run when a client brings us this exact problem: diagnose against evidence rather than assumption, fix the underlying cause rather than the symptom, and measure the result on consistency score across inventoried sources and accuracy rate in probe answers.

    // Key_Takeaways

    • Assistants state the wrong founding year, location, service list or company description, and sometimes confuse you with another business.
    • Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently.
    • What changes: one consistent identity everywhere, which makes models far more willing to state facts about you.
    • How we prove it: consistency score across inventoried sources and accuracy rate in probe answers.

    Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently.

    — Arise GEO, Fix inconsistent brand information across the web

    One consistent identity everywhere, which makes models far more willing to state facts about you.

    — Arise GEO, Fix inconsistent brand information across the web
    24 hours
    Scoped response
    $4,500
    Forensic audit
    90 days
    Execution plan
    180-day
    Money-back window
    // Symptom

    What this looks like from the inside

    Assistants state the wrong founding year, location, service list or company description, and sometimes confuse you with another business. It is usually noticed late, because the reporting most teams have was built for a search landscape where the click was the only outcome worth counting. Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently.

    • Evidence gathered before any recommendation
    • Cause separated from symptom
    • Scope agreed in writing before work starts
    • No engagement recommended if the data does not support one
    // Method

    How we actually fix it

    Four steps, run in order. Each one produces an artefact you keep, whether or not you continue with us.

    • Inventory every public source that describes your organisation
    • Define the canonical description, name form and attribute set
    • Correct high-weight sources first and align your own markup to match
    • Re-probe until assistants return the corrected description
    // Outcome

    What changes when it works

    One consistent identity everywhere, which makes models far more willing to state facts about you. We report against consistency score across inventoried sources and accuracy rate in probe answers. — set as a baseline before anything ships, so the effect of the work is separable from seasonality and from everything else running in parallel.

    • Baseline captured before work begins
    • Matched before-and-after measurement windows
    • Reporting by segment, not in aggregate
    • Findings documented whether positive or not
    // Start here

    The cheapest way to find out

    Run the free AI visibility check first. It takes a minute, needs no signup beyond an email, and tells you whether this is genuinely your problem before anyone talks about a fee. If it is, the forensic audit is $4,500 and covers the full diagnosis with a 90-day execution plan.

    • Free visibility check, instant results
    • $4,500 forensic audit with 90-day plan
    • 24-hour scoped response on enquiries
    • 180-day money-back window on retainers
    // 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.

    Why does AI get facts about my company wrong?+

    Your name, description and details differ across your site, directories, profiles and press, so no single entity resolves confidently. The practical answer is to diagnose before acting: inventory every public source that describes your organisation, then define the canonical description, name form and attribute set. One consistent identity everywhere, which makes models far more willing to state facts about you.

    How long does this take to show results?+

    Long-tail and comparison questions typically move within 30–90 days of the fix shipping. Broad category questions take longer because they depend on corroboration accumulating outside your own site, which you influence but do not control.

    What does it cost?+

    The forensic audit is $4,500 and includes the full diagnosis plus a prioritised 90-day plan you can execute yourself. Ongoing engagements are scoped per brand. Implement our plan and if you do not see movement in 3–6 months, we refund our fees in full.

    Can we do this in-house?+

    Often, yes — and the audit is deliberately written so you can. Most teams have the capability but lack the diagnostic layer and the measurement, which is what makes the work land on the right pages in the right order.

    How do you measure success here?+

    Consistency score across inventoried sources and accuracy rate in probe answers. Baselines are captured before anything ships and reported by segment, so improvement is attributable rather than assumed.

    Is this different from regular SEO?+

    It shares the technical groundwork but changes the target. Classic SEO competes for a position in a list of links; this competes to be the source a model uses and names, which rewards explicit data, honest qualifiers, named expertise and independent corroboration.

    // Keep_Reading
    AI visibility score →Free GEO audit →AI search visibility audit →Schema markup checker →GEO hub →GEO by industry →

    Fix inconsistent brand information across the web — start with the free check.

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

    Request Your Audit →