Design the Prompt Set
The real questions your buyers ask, agreed with you and organised by funnel stage. Two weeks.
Grapes Worldwide's AEO/GEO Audit agent measures your visibility inside AI answers: presence, citation share, prompt coverage, and content readiness across the engines buyers now ask.
Audit Your AI Answer VisibilitySearch engines love us. More importantly, so do clients. From industry leaders to ambitious challengers, we make sure they reach the right audience. For us, SEO isn’t just rankings, it’s real impact.
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Buyers increasingly ask ChatGPT, Perplexity, Gemini, and Google's AI Overviews instead of searching. Most brands have no idea whether they appear, who gets cited instead, or why. Our AEO/GEO Audit agent answers those questions continuously: it runs your buyer's real prompts across the engines, measures your presence and citation share, scores your content's answer readiness, and hands you a remediation roadmap with the evidence attached.
Your real buyer prompts run across AI engines on a schedule, and every mention, citation, and absence is logged and trended.
The map of buyer questions where you appear, where you are absent, and where the answer is wrong, organised by funnel stage.
Each key page scored for how citable it is: direct answers, structure, freshness, entity clarity, and extractable evidence.
Whether engines understand who you are: entity consistency, schema coverage, and the knowledge-graph signals that underpin citations.
A living report of the prompts that matter, your presence, and the specific content work that would win each one.
The fixes sequenced: content restructuring, schema work, freshness programmes, and new answer assets, each tied to a target prompt set.
Five stages, one goal: measured, improving visibility inside the engines buyers actually ask. Run for brands across five countries.
The real questions your buyers ask, agreed with you and organised by funnel stage. Two weeks.
Prompts run across engines, mentions and citations logged, and your baseline share established.
Pages scored for citability: answers, structure, freshness, entities, and evidence.
Content and schema remediation sequenced against the prompts that matter commercially.
Presence, citation share, and gap closure tracked monthly against the baseline.
The AEO/GEO agent runs a battery of sub-agents on your behalf: prompt runners sweep the engines, citation analysts diff your share, readiness scorers grade every key page, and drift watchers catch engines changing how they cite. At Grapes, every agent workflow ends at a human desk, where your strategist owns the roadmap and signs every remediation.
Agents execute your prompt set across engines on schedule and log every answer.
Your strategist curates the prompt set.
Agents diff citation share by prompt, competitor, and source type.
The strategist approves gap priorities.
Agents grade pages for citability: structure, answers, freshness, evidence.
Content leads accept the page fixes.
Agents check entity consistency and schema coverage underpinning citations.
Engineering owns markup changes.
Agents detect when engines change citation behaviour and flag affected prompts.
Your strategist decides the response.
Agents assemble visibility reports with citations and trend evidence.
You receive what a named human reviewed.
What changes for you
AI multiplies our output. It never replaces our judgment.
The questions CXOs ask us before signing, answered straight.
Answer Engine Optimisation and Generative Engine Optimisation: the discipline of being visible and cited inside AI answers, from ChatGPT and Perplexity to Google's AI Overviews. Where SEO won the search results page, AEO/GEO wins the answer: being the source the engine quotes when your buyer asks.
Three things: presence (do you appear when buyers ask), citation share (who gets quoted, you or competitors), and readiness (is your content structured, fresh, and evidence-rich enough to cite). Together they turn AI visibility from a vibe into a measured channel with a baseline, a share number, and a trend.
The engines your buyers actually use, typically ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot, agreed with you at scoping. Coverage is revisited quarterly because the landscape moves fast and the prompt set should follow your buyers, not the news cycle.
Every gap is scored by commercial value: the prompt's funnel stage, the revenue behind the question, and the effort to win the citation. You get a sequenced roadmap where the first fixes are the ones most likely to move buyers, not the ones easiest to do.
It is a layer on the same foundation: shared technical health, shared content architecture, shared measurement discipline. The agent's findings feed the same studio workflows, which is why brands running both see compounding rather than competing workstreams.
Yes; wrong-answer flagging is part of prompt coverage mapping. When an engine misstates your product, offer, or availability, the agent flags it with the answer captured, and the remediation roadmap targets the sources feeding the error.
Because we measure it like we measure everything: 263% search visibility growth came from treating visibility as an engineering discipline, and AI answers are simply the newest place buyers look. The agent gives that discipline a machine's patience and a human's judgement.