Your brand ranks in Google but is rarely cited or recommended by AI systems.
AI Visibility
What do AI systems understand and recommend about your brand?
J2A audits how major AI systems find and represent your brand, identifies missing, contradictory or insufficiently credible information, then improves the digital assets your company can actually influence.
A concrete offer
From observation to a stronger public presence.
We build a query set around the questions your prospects actually ask, document the answers produced across selected platforms, then audit the sources and signals shaping how your company is represented.
Depending on the engagement, J2A can stop at the diagnostic, deliver a complete action plan or implement the agreed technical, editorial and structural improvements.
This offer is for you if…
Your real market presence and your representation in AI tell different stories.
The engagement is particularly relevant during a launch, an offer evolution or expansion between France and the United States.
Generated answers describe your company incompletely, inaccurately or with outdated information.
Competitors are recommended for relevant questions while your company remains absent.
You are launching an offer or entering a new market, particularly the United States.
Your digital presence is fragmented across websites, profiles, partners or distributors.
What you receive
Documented observations, priorities and actions.
The exact scope depends on the selected markets, languages, platforms and level of intervention.
01
A query set reflecting the real questions and situations of your prospects.
02
A baseline by platform, language and market, with screenshots, dates and observation conditions.
03
Analysis of citations, mentions, recommendations and factual errors, including competitors when in scope.
04
An audit of the website, content, structured data and external evidence that may inform these systems.
05
A prioritized action plan covering corrections, content and credibility signals to strengthen.
06
Implementation and a new observation campaign when included, followed by a documented comparison.
Visible does not mean one thing
A citation, a mention and a recommendation do not tell the same story.
AI Visibility describes the result being observed: where does a brand appear, in what form and with what degree of accuracy? Before counting anything, we define precisely what we are looking for.
The content is used, but the brand remains invisible.
The source appears without the brand necessarily being named.
It appears, but the description may be accurate, incomplete or wrong.
It is selected and its relevance to the request is explained.
Useful words with fuzzy boundaries
AEO, GEO, LLMO: four angles on the same change.
These terms frequently overlap. They are not four perfectly separate professions or four mandatory links in a universal chain.
AEOMaking information easier to reuse in a direct answer.
GEOStudying how content can find a place in an AI-composed answer.
LLMOWorking on how language models understand and represent a brand, its offers and evidence.
AI VisibilityObserving where the brand appears, how it is presented and with what fidelity.
How information reaches an answer
AI systems do not look only at your website.
They may combine knowledge acquired during training, information retrieved from the Web and third-party sources. That is why the consistency of your entire public record matters.
Model knowledge
Information learned during training, which may be old or incomplete.
Real-time search
Pages and results available at the moment a question is asked.
Retrieval systems
Search and retrieval mechanisms selecting sources considered relevant.
Public consistency
Alignment across your website, profiles, partners, reviews and media coverage.
SEO
Position pages
SEO primarily aims to improve the visibility of pages in search results.
AI Visibility
Help systems understand a company
AI Visibility also addresses whether generative systems can identify your company, understand its offer, retrieve reliable evidence and represent it accurately.
The J2A framework
Four dimensions for conclusions you can defend.
One strange response obtained on a Tuesday morning is not suddenly “what the market thinks” about a brand. It shows what one system produced under those conditions. Our approach documents those conditions and repeats observations.
Surface
The AI, feature, Web access, language, territory and situation selected for observation.
Presence
Used source, citation, mention, recommendation or faithful description: what we decide “visible” means.
Levers
Information, content, evidence, inconsistencies and external sources the brand can actually influence.
Evidence
Questions, variants, repetitions and protocol used to separate an isolated result from a decision-worthy signal.
What a brand can influence
Not the final answer. The conditions that make it possible.
Any promise of total control would be unrealistic. A brand does not choose the sources selected or the final wording. It can, however, make its digital existence much clearer, more coherent and more credible.
Entity and offer clarity
- Name, category, market, products, availability and differentiation
- Consistent descriptions across the website, profiles and partners
- Company, expert, service, product and market pages
Information access and structure
- Technical access for relevant search systems and crawlers
- Architecture, internal links and structured data where it has a real use
- Precise, extractable, dated and maintained content
Credibility and public evidence
- Reviews, testimonials, cases, identifiable expertise and verifiable information
- Citations, press, distributors, partners and public-record consistency
- Correction of outdated or contradictory information
Observation and measurement
- A baseline using a documented prompt set
- Date, system, version, language, territory and Web access recorded
- Clear separation between established facts, observations and working hypotheses
- Comparison over time without turning variability into a false ranking
Engagement flow
Observe → audit → correct → enrich → verify.
The work looks less like a secret recipe and more like careful maintenance: finding outdated information, harmonizing vocabulary, documenting evidence and checking what partners publish.
Baseline
Define surfaces, prompts and forms of presence to observe.
Audit & correction
Website, data, content, local presence, external evidence and inconsistencies.
Verification
New observations, documented comparison and next recommendations.
Four levels of intervention
A one-time diagnostic or a complete improvement program.
Engagements can be selected separately or combined according to the maturity of your digital presence and available internal resources.
Initial diagnostic
Presence baseline, observed errors, competitors and first priorities.
Strategic audit
Complete analysis of the website, content, sources and public evidence.
Optimization
Technical, editorial and structural corrections agreed with your team.
Monitoring
New observations, answer comparisons and adjustments over time.
Why J2A
A brand and marketing challenge, not an attempt to manipulate models.
J2A combines brand strategy, SEO, content, public data, reputation and search journeys. This marketing-led approach draws on more than 20 years of marketing and commercial leadership experience in international environments and practical knowledge of both French and U.S. markets.
Frequently asked questions
What to know before getting started.
How is this different from a traditional SEO audit?
SEO primarily addresses page rankings in search engines. AI Visibility also examines how a company, its offer and its evidence are understood and represented in generated answers.
Which platforms do you observe?
The scope may include ChatGPT, Gemini, Perplexity and Google AI experiences. Platforms, languages, territories and access conditions are defined before observations begin.
Does J2A implement the corrections?
Yes, when optimization is part of the selected engagement. J2A can implement or coordinate improvements to the website, content, structured data and selected public assets. Changes on third-party platforms depend on access and platform rules.
How long does an engagement take?
A diagnostic is a one-time engagement. An audit including implementation and a second observation cycle takes several weeks. Timing depends on the number of markets, languages, platforms and corrections.
Can you guarantee that an AI will recommend my brand?
No. No serious provider can control source selection or a model’s final wording. J2A strengthens the information, evidence and consistency these systems may use, then measures changes carefully.
Your public record through an AI lens
Let’s document what systems find and what they say.
You will receive a clear scope covering platforms, markets, languages, deliverables and level of intervention.
Request an AI Visibility diagnostichello@j2a.digital