Frequently asked question · Policy & Public Affairs
How long until the answers reflect our position?
We will not give you a date, because the parts move at different speeds. A position page can be crawled within weeks, and an engine that searches the web can cite it soon after. Engines that rely more on what they were trained on take longer. The slowest part is the sources you do not own. A news explainer, a reference article, or a regulator’s page updates on its own schedule. From the first month you watch each question, engine by engine and market by market, beside the list of what your teams published.
The parts, in the order they move
The site fixes go first. The GEO audit checks crawler access for 20 AI bots, rendering, and structure, and the fixes it lists ship in the first weeks. Once your positions exist as pages, the engines have something to read.
An engine that searches the web on every answer can cite a new position page soon after it is crawled, which takes weeks rather than days. An engine that relies more on what it was trained on holds its answer longer, because it is not looking anything up, and that only changes when the model changes. The same page, published once, lands at different times on ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode, and the daily runs show each one separately.
The part nobody controls
The sources the engines already trust for your issue are mostly not yours. The Wikipedia article on the rule, the news explainer, the opposing group's summary, a regulator's consultation page: each updates on its own schedule, or never. The briefing names the reporters, explainers, and reference pages the engines lean on so your team can brief them with the evidence, but the timing of what they do with it is theirs.
Markets move apart too. The UK answer cites the regulator and the BBC, the Brazilian one a newspaper and a Reddit thread, and a position page in one language does nothing for the other.
What you see while you wait
From the first month, each question runs daily, engine by engine and market by market, and the report shows mention rate and position for your organisation and every other body the answers name. The movers tables each month flag the sources and organisations that gained or lost. Beside that sits the list of what your teams published, so a shift in an answer can be tied to the page or the briefing that caused it.
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Policy & Public Affairs
How ChatGPT, Gemini, and Perplexity frame your issues, which sources they treat as authoritative, and what to publish so the answer carries your evidence.
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