Services
LLM Visibility Audit.
A disciplined audit of priority prompts, source patterns, entity signals and the evidence your digital presence makes available.
01 / The approach
Clarity is a
competitive asset.
An audit establishes a defensible baseline. It samples priority prompts, examines source patterns and compares the evidence a brand makes available with the information a buyer needs to decide.
A disciplined audit of priority prompts, source patterns, entity signals and the evidence your digital presence makes available. The point is to create a source system that a real buyer can use: an answer should lead to evidence, a next question or an appropriate conversation—not merely repeat a claim.
Priority search brief
An audit needs evidence behind every score.
An LLM visibility audit is a documented sample of how a brand is represented for agreed commercial questions across selected answer products. The useful output is not a percentage in isolation: it is the prompt record, full response, cited or influential sources, factual errors, competitor pattern and a prioritised action tied to each finding.
Questions the source system must resolve
- Which buyer questions, countries, languages and decision stages enter the panel?
- Which engines, modes, dates and repeat runs make the observation reviewable?
- Is the brand mentioned, recommended, cited or merely present in a source?
- Which factual error or evidence gap can the organisation actually correct?
Evidence and outputs to prepare
Assign an owner, source, review condition and next action before treating this as complete.
Assign an owner, source, review condition and next action before treating this as complete.
Assign an owner, source, review condition and next action before treating this as complete.
Assign an owner, source, review condition and next action before treating this as complete.
Assign an owner, source, review condition and next action before treating this as complete.
How to measure it
The scope states the engines, markets, prompt count and repeat protocol before collection begins. A later rerun uses the same panel wherever possible, so movement can be distinguished from a changed test or ordinary model volatility.
Common failure mode
The audit cannot prove why a closed model produced an answer, guarantee a citation or turn one screenshot into a trend. It can preserve observable evidence, identify plausible source gaps and give the team a defensible next decision.
Reviewed by The GEO Company editorial team · 22 August 2026 · Evidence-led guidance for European companies
02 / What the work covers
Defined with scope, owner, evidence requirement and a way to decide whether the work improved the journey.
Defined with scope, owner, evidence requirement and a way to decide whether the work improved the journey.
Defined with scope, owner, evidence requirement and a way to decide whether the work improved the journey.
Defined with scope, owner, evidence requirement and a way to decide whether the work improved the journey.
We do not treat a platform mention, a citation or a ranking as a standalone outcome. The useful measure is whether the brand is represented accurately for commercially relevant questions and whether the team knows what to improve next.
03 / Questions to resolve
Which prompts are sampled and why?
Document the evidence, source pattern and decision that sit behind this question. That makes the work reviewable instead of dependent on a single tool or output.
Which sources are influencing the answers?
Document the evidence, source pattern and decision that sit behind this question. That makes the work reviewable instead of dependent on a single tool or output.
What is observable versus what cannot be controlled?
Document the evidence, source pattern and decision that sit behind this question. That makes the work reviewable instead of dependent on a single tool or output.
04 / Where it fits
Part of a wider
source system.
This work complements SEO, brand, product and communications teams. The right sequence depends on the gap: sometimes the first priority is an audit; sometimes it is documentation, a market guide, expert evidence or the technical architecture that makes existing knowledge retrievable.
Good work leaves a team with decisions it can defend: which pages need an owner, which claims need evidence, which sources matter, which markets require a different approach and what should be measured next. A platform result or a model mention is an observation—not the strategy.
Use the market hubs to see how the method changes with a real buyer journey. We only create a market-specific programme where it has its own evidence model and practical commercial purpose.
What this work does not promise
It does not promise a guaranteed citation, a fixed AI ranking or control over a third-party model. It improves the quality, clarity and retrievability of the source system that a buyer and an answer product can use.