What should you focus on to ensure your company appears in the answers from ChatGPT, Perplexity, and Gemini?

Your B2B prospects no longer just type a query into Google. They ask ChatGPT directly "which provider should I choose for...", ask Perplexity "which tools should I compare for...", or read Gemini's summary before even clicking a link. If your company doesn't appear in these answers, you simply aren't on the shortlist. This is the whole point of GEO (Generative Engine Optimization), the core business of our GEO agency : making your brand a source that AIs understand, verify, and cite.

At Growth Room, we apply this method first to ourselves, then to our clients. We have documented it in our GEO Playbook, requested by over 4,000 people. Here, lever by lever, is what you really need to focus on, and in what order.

Key takeaways

• Ranking well on Google is no longer enough: AIs select sources that are reliable, clear, and consistent.
• The absolute priority: a brand identity that is identical everywhere on the web (name, offering, figures, location).
• AIs cite data and viewpoints, not corporate descriptions.
• A mention in a specialized media outlet in your sector often carries more weight than a link on a major generalist media site.
• GEO is managed like a channel: prompt panels, appearance rates, citations, and then traffic and leads.

Why is your SEO no longer enough to appear in AI answers?

At first, appearing in an LLM was almost an extension of SEO: ranking well on Google or Bing was often enough. That is no longer the case. AIs still rely on the public web index, but their way of selecting, interpreting, and prioritizing information has moved away from simple ranking.

The two approaches remain complementary: SEO is the foundation that answer engines read. But to be cited, you have to go further.

What are the priority levers for being cited by AIs?

Here are the 6 levers we focus on with our B2B clients, ranked by priority.

1. Is your brand entity consistent across the web?

This is the foundation. An AI won't recommend a brand it can't pin down. If your name, offering, key figures, or address differ between your website, LinkedIn, directory listings, and press mentions, the model will have doubts. And when it has doubts, it cites someone else.

Working on your entitymeans ensuring that:

• your positioning is phrased the same way across all your channels;
• your figures (founding date, number of clients, team size) are identical everywhere;
• your "About," "Team," and author pages are clearly identified.

It’s not flashy work, but it’s built over months, not days. It’s better to start before your competitors do.

2. Do you provide data that AIs can't find anywhere else?

This is the most powerful and underutilized lever. LLMs love numbers, benchmarks, and comparisons. When they lack data, they improvise. If you become the one providing the missing data, you become a source.

Every B2B company possesses proprietary data that can be leveraged:

• At Growth Room, we support around a hundred clients simultaneously. Our anonymized data on conversion rates by ad network or email deliverability can fuel studies that AIs will pick up.
• A recruitment firm specializing in cybersecurity knows the actual salaries by seniority and city: a salary study becomes a reference for queries like "what is the salary for a cybersecurity engineer in Paris?"
• A SaaS provider can publish usage benchmarks derived from its own platform.

Once a model has identified you as a useful source, it tends to cite you again. It’s a virtuous cycle.

3. Do you take a stance rather than just describing yourself?

AIs don't reuse sentences like "X is a company that does Y." They look for insights that answer a real question.

Compare:

• "Our agency helps companies with lead generation." : never picked up.
• "In real estate, lead generation via Meta Ads is not working as well as it used to." : picked up as soon as a user asks how to generate leads in real estate.

In your articles, interviews, and opinion pieces, dare to take a stand in your market. Well-reasoned opinions carry far more weight than mere statements.

4. Are you present in the sources that AIs consult?

Unlike SEO, authority no longer relies solely on backlinks. What matters is visibility: a mention of your brand in a credible source, even without a link, is taken into account because models read and analyze the content itself.

Priority sources to target in B2B:

• the specialized media in your vertical, which are often more influential for an LLM than a major generalist media outlet;
• rankings, comparison sites, and service provider directories (G2, Trustfolio, industry guides);
• Reddit, Quora, and professional forums, for user feedback;
• Wikipedia, when your entity is eligible.

In other words, "pure" netlinking is losing its value. The goal is to be seen by AIs in environments they deem reliable.

5. Are your pages readable by an AI?

Google can often "guess" the content of a heavy or poorly structured page. An LLM gives up much faster: if it doesn't understand your page immediately, it moves on to the next source.

Three areas to address:

• Technical aspects : fast pages, no reliance on complex JavaScript, and accessible to AI bots.
• Markup : structured data (schema.org) for organizations, authors, services, articles, and FAQs. Our article on structured data to prioritize for AI details the order to follow.
• Format : a direct answer at the beginning of each section, followed by an example, a method, and limitations. Use headings phrased as your prospects' questions, include tables, FAQs, and a visible update date.

Our recommendation: before producing new content, optimize what you already have. It’s faster, more effective, and less expensive.

6. Is your content anchored in a specific sector and region?

Users ask questions based on their own reality: their profession, their market, their city. AIs structure their answers through this same lens. A strategy that is too general makes you invisible.

The more your content incorporates examples, data, and trends specific to a sector ("B2B SaaS," "manufacturing," "consulting firm") or a geographic area ("in Lyon," "in the Île-de-France region"), the more it aligns with real queries and the more likely it is to be cited.

Do ChatGPT, Perplexity, and Gemini work the same way?

The core principles are the same, but the timelines differ. Based on our observations:

• Perplexity systematically cites its sources and can sometimes pick up your content within one to two weeks if you are well-indexed.
• ChatGPT displays its sources when web search is enabled; your presence also depends on model updates and your citations in third-party sources.
• Gemini and AI Overviews rely on the Google index: your traditional SEO plays a direct role here.

An important point of context: ChatGPT has been displaying ads in France since August 24, 2026. Organic visibility within the response is therefore the non-paid space to defend.

How can you measure whether your company is actually appearing in AI responses?

Without measurement, you are flying blind. And an isolated screenshot proves nothing. Our method:

1. Build a panel of 20 to 50 strategic prompts, phrased like your prospects: "how to choose...", "how much does... cost", "what is an alternative to...".
2. Test them at regular intervals on ChatGPT (with search) and Perplexity: are you cited, which URL appears, is the answer accurate?
3. Add a skeptical variant ("what is the proof?", "what are the risks?"): if you disappear, it means you lack verifiable content.
4. Link presence to business : isolate traffic from AI in your analytics and track engagement and conversions.

KPIs to track:

• the appearance rate for your target prompts;
• the number and quality of citations obtained;
• the sentiment associated with the responses;
• the diversity of sources that mention you;
• your position relative to competitors.

Tools like Semrush AI, Omnia, or Promptwatch already provide an initial overview. For the full methodology, read our guide on proving your content works on ChatGPT and Perplexity.

Where to start: what is a 90-day action plan?

Keep in mind that GEO is constantly evolving: what works today may be refined in six months. That is why we test our techniques every week.