Claude, Grok and DeepSeek: how to check if they know your brand

What this visibility work covers, in plain words

Quick test: Type your best-selling use case as a plain question into each assistant. Save the 3 answers in one doc.

This service examines whether useful, accurate information about your business appears when people ask Claude, Grok or DeepSeek questions related to your offer. The work is not simply adding a brand name to pages; it connects buyer intent, the information you publish and the sources an assistant may show alongside its answer.

We start by defining a small set of meaningful question types: category discovery, product comparisons, use-case fit, implementation concerns and brand-specific due diligence. The right set reflects your sales conversations and the decisions a prospect needs to make. For each question, we record what the assistant returns, whether your brand appears, which details are accurate, and whether source references are visible.

This is useful for SaaS, ecommerce and Web3 teams that already have a website and supporting public information but lack a repeatable way to assess how AI answers represent them. If you are still deciding where to invest across AI search, begin with the wider AI search visibility overview. If you need a broader baseline across surfaces, a GEO audit can help frame that work.

How do you compare the three assistants side by side?

Compare the assistants using the same buyer question and a consistent record of what you observe. That gives your team a useful view of differences without assuming that one answer represents every user or every version of a product.

For each check, note the exact question, the assistant and access mode used, the date, the answer, any visible source references, and whether the answer is correct and complete. Keep brand discovery questions separate from questions about product features or category advice: they reveal different gaps. Repeat a question when a change is important to verify, and keep the earlier record so the team can see what changed.

A compact comparison can use these fields:

Claude, Grok and DeepSeek are distinct services, and the answer or visible references you observe may differ by query and access context. Treat the review as a dated snapshot, not a universal statement about every response. For a separate focus on Perplexity visibility or ChatGPT visibility, plan those checks as companion work.

Which content fixes come first

Rule of thumb: Fix the page a cited answer already points to before you write anything new.

Prioritize information that directly answers a buyer’s question and can be checked against a reliable source. A well-organized, accurate page gives visitors and AI systems a clearer account of what you do, who it serves and what evidence supports your claims.

Start with an inventory of the pages buyers need most: product or service descriptions, use-case pages, documentation, pricing or plan explanations where available, and clear company information. Check that each page uses consistent product names, explains specialist terms, distinguishes current capabilities from planned ones, and gives specific examples without unsupported claims. Where a fact is important, make its origin clear and keep it current.

Then map gaps from the answer review to practical work. If an assistant confuses two offerings, clarify their difference in the relevant pages. If it misses a use case, make that use case explicit and easy to navigate to. If the answer cites a source that does not support the detail, strengthen the primary page and review the public references your team can maintain. Our content for AI answers work can turn those gaps into briefs and edits; entity building can help align names, descriptions and relationships across your public materials.

What lands in your hands after the review

You receive a usable record of the checks, a clear assessment of the findings and a prioritized plan—not a vague score without context. The exact plan is agreed before work begins so your team knows which business lines, audiences and questions are included.

The service can include:

• A question set based on your products, audience and sales priorities.
• Dated answer snapshots for Claude, Grok and DeepSeek, with visible references recorded where available.
• An accuracy and source review that flags gaps, unclear descriptions and conflicting public information.
• A prioritized action list identifying the page or source to address, the recommended change and the reason it matters.
• A summary for your team, with ownership suggestions and a way to verify completed actions in a later check.

The findings are designed to be useful to marketing, content and product teams. When implementation is in plan, we can help refine page structure, draft content recommendations or coordinate related technical work. A technical AEO review is a relevant companion if the issue is how site information is organized or made accessible. If your team wants ongoing checks rather than a one-time review, see AI visibility monitoring.

From first test to action: the working steps

A practical engagement moves from agreed questions to evidence, then from evidence to changes your team can own. Before the review begins, MarketingExtra confirms the business priorities, target audience, relevant pages and the assistant contexts to include.

The working sequence is straightforward:

1. Set the plan. Share your site, product descriptions, priority markets and the buyer questions that matter most.
2. Build the question set. We shape prompts around discovery, comparison, product fit and brand accuracy, then confirm the set with you.
3. Capture and review answers. We record the responses and visible source references for the agreed assistants, then check accuracy against your materials.
4. Prioritize fixes. You receive recommended page, content and source actions organized by business relevance and effort.
5. Check completed work. If follow-up is included, we revisit the agreed questions and document what changed in a concise report.

A good client-side kickoff is simple: provide current URLs, approved product facts, naming conventions, and any claims that require careful handling. Tell us which audience or offer matters first. That helps keep the review focused and makes the resulting recommendations easier to assign.

Your 6-point three-assistant checklist

Use this checklist before you book anything. It shows whether you have a content problem or a visibility problem.

• List 6 questions a buyer would ask, in everyday words.
• Ask each question in Claude, Grok and DeepSeek, one chat per question.
• Copy every answer and every source into a table.
• Mark each cell: named, described correctly, or missing.
• Check the pages the assistants cite and who owns them.
• Pick the 2 gaps that block the most questions and fix those first.

Terms in one line

Assistant: an AI chat tool that writes an answer instead of listing links.

Source (in plain words: a page an answer points to as its basis).

What no service can control in these assistants

A visibility review can document and improve the information your organization publishes, but it cannot control the assistants’ answer selection or guarantee that a particular response will name your brand. Claude, Grok and DeepSeek may change their answers, available features or displayed references, and a source visible in one check may not appear in another.

That is why we define the question set and access context, record when each check was made, and tie recommendations to evidence your team can verify. We focus on matters within your control: accurate pages, consistent product descriptions, useful answers to buyer questions and credible supporting sources. The report separates an observed result from a recommendation, so you can distinguish what happened from what to do next.

Send 3 things: your site, your 6 buyer questions, and the page you most want cited. We reply with the first test plan.

How it works

1. Set the planShare your site, audience, business priorities and the assistants to include. We confirm what the review will and will not cover.
2. Build the question setWe turn buyer needs into practical discovery, comparison and product questions, then confirm the list with you.
3. Capture answer evidenceWe record the agreed answers and visible references, noting the assistant and context for each check.
4. Prioritize improvementsYou receive specific recommendations tied to the pages, facts or sources that need attention.
5. Review completed workWhere follow-up is included, we revisit agreed questions and provide a concise record of observed changes.