How to Get Cited in ChatGPT and Perplexity: AEO for B2B

In 2023, getting cited in ChatGPT or Perplexity was a curiosity — something to screenshot and share. In 2025, it's a meaningful business channel.

B2B buyers increasingly start complex purchase research in AI assistants. "What should I look for in a sales automation platform?", "Which marketing agencies specialise in professional services?", "How do I evaluate an SEO agency for a law firm?" — these queries appear in Perplexity, ChatGPT with Browse, Claude, and Gemini, and they generate responses that cite specific sources and recommend specific providers.

If your business appears in these responses, you're in the consideration set. If you don't, you don't exist for that buyer at that moment.

How AI Assistants Generate Answers

Understanding the mechanism is the prerequisite for influencing it.

AI assistants generate answers using two components:

Training data — the information the model was trained on, representing a snapshot of the internet up to a cutoff date. Information in training data influences responses to queries where the model can answer from memory.

Retrieval — for AI assistants with internet access (ChatGPT with Browse, Perplexity, Bing Copilot, and others), the system retrieves current information from the web to supplement or replace training data. This retrieval phase is where fresh web content matters most.

For B2B queries about specific service providers, recent content with clear entity signals matters more than training data — because buyers need current information about current providers.

The Signals That Influence AI Citations

Structured, extractable content

AI systems are, at their core, pattern-matching and extraction systems. They read your content and extract the information most relevant to the query. Content that is structured around questions and answers — with clear question headings and direct, accurate responses — is easier to extract and more likely to appear as a cited source.

A blog post titled "What does an AI SEO programme cost?" with a direct answer in the first paragraph is more likely to be cited in response to "how much does AI SEO cost?" than a page that mentions pricing incidentally in a broader service description.

Practical implementation:

• Use question-based H2 and H3 headings throughout your content
• Provide direct, specific answers immediately after the question heading
• Include a FAQ section on service and About pages
• Write for the question that led someone to your content, not just the keyword you want to rank for

FAQPage schema markup

Schema markup is structured data in your HTML that explicitly tells AI systems (and search engines) what the content represents. FAQPage schema marks up question-and-answer pairs as machine-readable data — which AI retrieval systems can extract directly without needing to parse natural language.

Pages with FAQPage schema appear in Featured Snippets, Google AI Overviews, and Perplexity's source citations at significantly higher rates than equivalent pages without schema.

Adding FAQPage schema is a technical task but a straightforward one. It should be added to any page containing a FAQ section.

Entity authority and consistency

AI systems evaluate the credibility of sources, not just the relevance of their content. A key credibility signal is entity consistency: whether the information about your organisation is accurate, consistent, and present across the sources AI systems use to verify claims.

This means:

• Google Business Profile — complete, accurate, consistent with website information
• Wikidata — for established organisations, a Wikidata entry provides structured entity information that AI systems use
• LinkedIn company page — one of the highest-authority entity signals for B2B organisations
• Industry directories and association listings — consistent NAP (name, address, phone) across relevant directories
• Press mentions — coverage in credible publications that AI systems weight as authority signals

An organisation with consistent, accurate entity information across these sources is more likely to be cited as a reliable source than an organisation whose information is inconsistent or sparse.

Backlinks from cited sources

AI retrieval systems don't just fetch your pages directly — they are influenced by what other sources say about you. Being linked from sources that AI systems regularly cite as authoritative creates a credibility chain.

For professional services firms, this means:

• Coverage in industry publications that Perplexity and ChatGPT Browse regularly index
• Listings and profiles on platforms that AI systems treat as entity databases (LinkedIn, Companies House, professional body member directories)
• Guest-authored content in credible industry publications (with a byline linking back to your website)

Consistency of information across sources

When an AI system retrieves information about your business from multiple sources (your website, Google Business Profile, LinkedIn, press mentions), it evaluates whether the information is consistent. Inconsistencies — different descriptions of your services, different founding dates, different team sizes — are negative signals that reduce the likelihood of citation.

Conduct an entity audit: search for your organisation's name and verify that what appears is consistent, accurate, and current. Update anything that doesn't match your current website description.

Practical Steps for B2B Organisations

Step 1: Structure your core pages around questions

Rewrite service page headings from descriptions to questions. "What AI SEO services do you offer?" rather than "Services". "How long does a Digital Foundation project take?" rather than "Project timeline". "What does working with you look like?" rather than "Our process".

This structure doesn't look odd to human visitors — it often reads more naturally — and it significantly improves extractability for AI systems.

Step 2: Add FAQPage schema to service and About pages

Work with your development team or web platform to add FAQPage schema markup to pages containing FAQ sections. This is a one-time technical task that provides ongoing AI citation benefits.

Step 3: Build and maintain entity consistency

Audit your presence across Google Business Profile, LinkedIn, industry directories, and any press coverage. Update descriptions, contact information, and service descriptions to be consistent across all sources. Maintain this consistency as your business evolves.

Step 4: Produce content that answers the questions your buyers ask AI assistants

The content that gets cited is the content that answers the questions buyers are actually asking. Map the research questions your buyers ask early in their process — "how do I choose an SEO agency?", "what should a law firm website include?", "how does sales automation work?" — and produce dedicated content that answers each question directly.

Step 5: Get covered in AI-cited publications

Identify which publications appear when AI assistants answer queries in your domain. Contribute guest content, provide expert commentary, and ensure your organisation is mentioned where relevant. This secondary coverage is often weighted more highly than direct citations of your own website.

For businesses building a systematic AI visibility programme, Areza's AI SEO service includes entity establishment, FAQ schema infrastructure, and content strategy designed specifically for AI citation visibility in B2B professional services markets.

FAQ

How do you know if your business is being cited in AI assistant responses?

Test it manually: search for queries relevant to your business in ChatGPT with Browse, Perplexity, Claude, and Gemini. Note which sources are cited and whether your business appears. Test 10–15 different queries that your target clients might ask. This won't give you statistical data but provides a meaningful qualitative baseline. Repeat quarterly to track changes.

Does publishing more content increase AI citation frequency?

Quality and structure matter more than volume. A single, well-structured FAQ page with proper schema markup and entity signals will be cited more frequently than ten generic blog posts without these elements. Focus on depth and structure for existing content before increasing volume.

How long does it take to appear in AI assistant citations?

Perplexity and ChatGPT with Browse retrieve recent content, so new well-structured content with schema markup can appear in responses within weeks of indexing. Appearing in AI training data is on a much longer cycle (model training cutoffs and update schedules). The retrieval channel is the more actionable near-term focus.

Does being cited in AI assistants drive website traffic?

Sometimes. AI assistants with source citation often show the cited URL — users may click through. But citation also creates brand awareness without a click, which influences future branded searches. The traffic impact is lower than traditional SEO but the brand authority impact can be significant in B2B markets where buyers research extensively before contacting any provider.

Is AI citation optimisation worth the investment for a small B2B company?

For companies in B2B professional services where target clients use AI assistants for research, yes. The investment is primarily in content restructuring and schema markup — tasks that also improve traditional SEO. The incremental cost is low, and being in the consideration set when a potential client is researching providers is significant in markets where purchase decisions are high-value and infrequent.