AI visibility · audit and routes
Brand AI visibility: how ChatGPT, Gemini and Perplexity describe your company
We check what AI assistants say about your brand, which sources they draw on, and which sources are missing. The initial assessment is free; the AI audit with a 90-day plan is €490 and takes 3–5 days. Then comes the route: Wikipedia, Wikidata, Reddit and Quora, independent media.
WikiBusines: the AI audit is a separate product and is not credited toward Wikipedia work; the three AI-visibility packages cost €800, €1,500 and €3,500.
Reviewed by Roman Melnyk, Chief Editor ·
// we recommend the audit, we don't require it · €490 is a standalone deliverable, not credited toward packages · the result is a probability, not a guarantee
Finding
- ×Company N is not named
- ×No Wikipedia page and no Wikidata entry
- !The competitor is cited from a Reddit discussion
Finding
- ×Year and city are invented: the assistant has nothing to check them against
- !The only source is its own website
Finding
- ✓The independent publication is working
- !A single mention is a thin layer of sources
90-day plan · first step
- 1Wikidata entry with sources
- 2Notability assessment for Wikipedia
- 3Quora and Reddit discussions without spam
01Why it matters now
Brand AI visibility in numbers: where assistants get their answers
Buyers increasingly ask AI assistants about brands before they ever go to Google. Assistants answer from a small set of sources they trust.
That is what Google pays Reddit each year for access to its data for Google's AI systems, a measure of how valuable these platforms are.
Reddit is the most cited source in Google AI Overviews and Perplexity.
Source: Profound study of 680M AI citations, August 2024 – June 2025. Among each platform's ten most-cited sources, Reddit accounts for 21% in AI Overviews and 46.7% in Perplexity.Wikipedia is ChatGPT's most cited source.
Source: the same Profound study. Among ChatGPT's ten most-cited sources, Wikipedia accounts for 47.9%; across all citations, 7.8%.Citation share depends on the query type, the assistant and the research methodology, and it changes over time. We don't promise a "magic" percentage: we show what AI says about you specifically.
02Why AI assistants need verifiable sources
How AI assistants form an answer about a brand: three layers
What a model "remembers" from training is updated rarely, only with new model versions.
Assistants with search pull fresh pages, so this is where a new publication shows up fastest.
An entity identifier ties all the sources about you into a single object.
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03Platforms
Platforms AI draws brand data from: eight sources and what we do with them
Each platform is a separate signal. Click a card to go to the service.
Wikipedia
160+ language editions; one of the most cited reference sources on the open web.
The largest source of brand context for AI answers, wherever notability exists.
Page creation → Structured dataWikidata
An open knowledge graph: entities, relationships and identifiers in machine-readable form.
Read directly by the retrieval pipelines of AI systems.
Wikidata entry → CommunityDiscussion threads across thousands of communities.
AI systems cite Reddit threads as "real user opinion".
Reddit for AI visibility → Q&AQuora
A question-and-answer platform with detailed expert answers.
Strong organic ranking and citations in AI answers.
Quora for AI visibility → Structured dataGoogle Knowledge Panel
The card on the right of Google search results.
Google does not disclose what it builds the panel from; Wikipedia and Wikidata are among the public sources. A separate program, 3–4 months.
Knowledge panel → AI assistantsChatGPT · Gemini · Perplexity
Generative answer systems.
Increasingly, this is where buyers research brands before they ever go to Google.
Wikipedia AEO → MediaIndependent media
Publications that meet Wikipedia's bar for reliable sources.
The backbone of notability: without them, no Wikipedia page is safe from deletion.
Media program → Another language editionSimple English Wikipedia
Wikipedia in simple English, on the same infrastructure.
The same notability requirements, a shorter format.
Simple English →04Routes
AI visibility services: which route fits your situation
This page is a hub: here we decide where to start. Pick the situation closest to yours.
AI visibility packages
A Wikidata entry, a source layer and a before-and-after measurement of AI answers. Start with the audit to choose a package.
Wikipedia AEO
Wikipedia and Wikidata as a source of AI answers: we correct facts in the sources assistants draw them from.
AI Reputation Stack
From a single Wikipedia page to a managed network of sources in one or several markets, with oversight after launch.
SEO & LLMs Booster Pack
Pages on Wikitia, EverybodyWiki, Fandom and AlfaWiki plus a Wikidata entry, with no media-coverage requirement, while Wikipedia is still out of reach.
LLM Knowledge Hub
An open knowledge base of facts about you, built on sources and formatted so AI systems read it easily.
Reddit and Quora for AI visibility
A useful presence in the discussions AI assistants pull from, without spam and within community rules.
05AI audit
What the €490 AI visibility audit includes: a report in 3–5 days
The audit records how AI systems describe the brand today and gives you a 90-day plan. It isn't required to start work, but it helps you choose the route.
- 1Verbatim AI answersHow Claude, ChatGPT, Perplexity, Gemini, Bing Copilot and Google AI Overviews describe your brand and category.
- 2Buyer questionsThe top questions with buying intent and how each system answers them.
- 3Competitor citation mapWhich competitors are cited across all models and which sources feed that.
- 4Source gap analysisWhat is missing on Wikipedia, Wikidata, Reddit, Quora and in the media.
- 5Knowledge Graph statusWhether a Google knowledge panel exists, whether it is accurate, and what it takes to improve it.
- 6Entity checkWhether the systems recognize your company as a distinct entity.
- 790-day planPriorities in which each step reinforces the next; 3–5 days.
- 8A standalone deliverableThe €490 audit is a separate product and is not credited toward packages.
Verbatim answers
Competitors
Source gaps
Knowledge Graph and entity
90-day plan
The AI visibility audit (€490) and the Wikipedia notability audit (€490 / €750 / €1,900) are two different products: the first is about what AI says, the second is about whether there are enough sources for a Wikipedia page.
06How the work runs
How AI visibility work runs: audit, plan, build, re-measurement
Typical sequence · not a guaranteed schedule
auto- 1AuditWe query the main AI systems about your brand, your competitors and buyer questions. We record what is said today and where the gaps are.
- 2Source planA coordinated plan across Wikipedia, Wikidata, Reddit, Quora and media, sequenced so that each step reinforces the next.
- 3BuildWork across all platforms under a single project lead. Every step is source-based and follows each platform's rules.
- 4Re-measurementThe same queries after the work, with a before-and-after report. A monthly report is included in the Enterprise package.
07How we prove it
How we prove AI visibility results: query, answer and source
Finding from a report · sample
08Frequently asked questions
Brand AI visibility: frequently asked questions
Why does Wikipedia matter for ChatGPT and AI search?
Large language models and AI answer engines give heavy weight to authoritative encyclopedic sources. Brands that exist on Wikipedia and Wikidata are cited consistently and accurately; those that don't are paraphrased loosely or skipped.
How is AI visibility different from SEO?
SEO optimizes a page you control. AI visibility builds the base of sources that AI systems read about you: Wikipedia, Wikidata, Reddit threads, Quora answers, structured media. It is editorial, source-first work, not technical work.
Do you guarantee that my brand will appear in ChatGPT answers?
No. Model providers control their own retrieval and training. What we can do is build a source infrastructure that materially raises the probability, and monitor how the major AI systems describe your brand over time.
Can I get a Google Knowledge Panel without a Wikipedia page?
Sometimes, yes. A well-structured Wikidata entity, plus steady independent coverage, plus clean schema markup on your own properties may be enough for a panel to appear for a sufficiently well-known subject. But Wikipedia remains the strongest single signal, and panels built without it are thinner and less stable. If a Wikipedia page is not on the table right now, we start with Wikidata and work on the source base, and we tell you honestly what coverage that is likely to give.
Why do AI assistants cite some brands and skip others?
AI systems, both those that search the web like Perplexity and those that rely on training like ChatGPT, depend on a small set of authoritative public sources: Wikipedia, Wikidata, Reddit, Quora and well-known media. Brands present in those sources as verified, structured entities are cited consistently. Others are either retold from fragments the system happened to find, or skipped in favor of documented competitors.
How do AEO, GEO and SEO differ?
SEO optimizes pages to rank in a list of links and earn the click. GEO (generative engine optimization) is the broader practice of influencing how generative systems compose answers. AEO (answer engine optimization) is the discipline of making sure AI understands your brand at all and can cite it: entity work, source verification, presence in the knowledge graph. They complement each other: well-built Wikipedia and Wikidata presences feed both AEO and GEO, and your SEO pages remain the place where the click lands.
What is an AI visibility audit and what does it cover?
It is a structured diagnosis of how your brand appears in the main AI systems today. We put the questions a buyer would ask to ChatGPT, Gemini, Perplexity, Bing Copilot and Google AI Overviews, record the answers verbatim, trace each one to the layer of public sources (Wikipedia, Wikidata, Reddit, Quora, media), find the gaps and deliver a 90-day plan within 3–5 days.
How is this page different from the AI visibility packages?
This page is the strategy and audit hub: it explains how AI visibility works and where to start. The packages page lists the specific Starter, Standard and Enterprise offers with prices and contents. Start here to understand the approach, and move on to the packages when you are ready to compare.
How long does it take for AI answers to change?
In stages. Assistants with live web search, Perplexity and Google AI Overviews, usually reflect a new Wikipedia article within a few weeks. Answers that rely on model training, in ChatGPT and Gemini, change the slowest: 1–3 months and longer, sometimes only with a new model version. The Google knowledge panel is a separate program of 3–4 months. We measure before the work starts and repeat the measurement afterwards, so the change is visible.
Where can I see AI visibility packages and prices?
On the AI visibility packages page: Starter, Standard and Enterprise with full contents and prices. The audit (€490) is a standalone deliverable and is not credited toward packages.
Do you guarantee that a page will be published?
No, and no one honestly can. Wikipedia is an independent community with its own editorial review. What we do guarantee is a risk-managed process: we don't propose publication until the source base can withstand it. 93% of the pages we create pass Wikipedia's review and are published.
What happens if a page is deleted after publication?
During the 90-day monitoring window we defend the page and republish it if needed. If it cannot be restored after 3 attempts within that window, we refund 80% of the project amount.
Do you guarantee a Google Knowledge Panel?
No. Knowledge Panels are built by Google's own systems, which draw in part on Wikidata and Wikipedia. Our work materially raises the probability that a panel appears, but the final decision rests with Google.
Do you disclose that you are paid to edit Wikipedia?
Yes, on every project, every time. The Wikimedia Terms of Use require paid contributors to disclose the employer, the client and the ultimate beneficiary. We disclose this on the editor's user page, on the article's talk page at creation, and in edit summaries during the work. It is non-negotiable. We decline projects that ask us to hide the connection: undisclosed paid editing is the number one reason this kind of work gets banned and pages get deleted.
Related pages
Order an AI visibility assessment: initial one free, audit in 3–5 days
Send us the brand and the website. We will tell you what AI says about you today and whether you need the full audit.
- 1Brand and websiteHow buyers search for you.
- 2Competitors2–3 brands you are compared with.
- 3What worries youAI doesn't know you, mixes up facts or praises competitors.
or write to us: team@wikibusines.com · Telegram