Monthly measurement of how often AI engines mention, cite and recommend your brand — against your competitors, across the prompts that lead to sales.
You can't improve what you can't see. AI answers shift with every model update — tracking turns a moving target into a trend you can manage.
AI citation tracking gives you a consistent, repeatable measure of your visibility in generative search, alongside the rankings and traffic you already report on.
The same prompts, the same engines, every month — so changes in the numbers reflect real changes in visibility.
A curated set of buyer-intent prompts across your services and locations, kept stable so month-on-month comparisons mean something.
Your share of mentions and recommendations versus named competitors, broken down by engine and by topic.
Which of your pages get cited, and which third-party sites engines use when they talk about your category.
We flag answers that describe your brand incorrectly — wrong services, old locations, outdated claims — so they can be corrected at the source.
See when a competitor starts appearing in answers you used to own, and the sources that are driving it.
Every report ends with the specific actions most likely to lift visibility next month — not just numbers.
We agree the prompts, competitors and engines to track, based on your keywords, services and customer questions.
The first run records where you stand today, so every future report measures change against a clear starting point.
Prompts are run on a fixed schedule and results compiled into a monthly report covering mentions, citations, sentiment and competitor share.
We turn movements into next steps — content updates, schema fixes or source outreach — and review the prompt library each quarter.
Unable to match competitors' paid budgets, Miss Amara went all-in on organic. We targeted high-intent phrases and earned the rankings to match — compounding growth across 19 months.
Read the case study →A Sydney car customisation business with almost no organic footprint. Focused on-page work and restructuring content for featured snippets took the site to 2,223 estimated clicks a month.
Read the case study →
A keyword map covering every trade and service area, local pages built around it and ongoing technical work took Network Plumbing from 967 to 4,676 top-10 rankings.
Read the case study →Not all visibility is equal, so we track three levels separately:
A brand can be mentioned often but rarely recommended, or cited for informational queries but missing from commercial ones. Splitting the measures shows where to focus.
AI engines are non-deterministic: the same question can produce different answers on different days. We manage this by running each prompt more than once per cycle where it matters, keeping the prompt library stable, and reporting trends over single snapshots. When a model update shifts results across the board, we call that out rather than presenting it as a win or a loss you caused.
Citation tracking sits alongside your organic reporting, not in a separate silo. We look at AI referral traffic in analytics, cited pages in Search Console and rankings for the same topics, so you can see how AI visibility and traditional SEO move together. If you haven't measured your starting point yet, an AI visibility audit is the natural first step; tracking then keeps that picture current as part of our answer engine optimisation work.
Each report is short enough to read in ten minutes and specific enough to act on. It covers your overall share of voice and how it moved, results by engine and by topic, the pages of yours that were cited, new competitors and sources appearing in your answers, any inaccurate descriptions of your brand, and a handful of recommended actions for the month ahead. Where tracking turns up structured data gaps, our schema markup work is often the quickest fix.