How do you rank in ChatGPT and Perplexity?

What AI tools need

AI answer engines look for content that is easy to understand, trustworthy, and specific enough to answer a question directly.

• Direct answer near the top.
• Clear article structure.
• Consistent brand and author entities.
• FAQ and Article schema.

Think in questions

Build articles around the questions your buyer asks before making a decision.

Assessing GEO citation readiness

AI search systems do not cite a page because it is long. They cite pages that answer a question clearly, look trustworthy, and can be decomposed into useful answer blocks.

Publishing workflow for AI search

GEO is not a one-time optimization. It is a publishing rhythm: answer specific questions, cluster related topics, link internally, and refresh pages as tools, rules, or market context change.

• Choose one search intent per page.
• Start with a direct answer that can be cited.
• Use tables for comparisons and decisions.
• Link pillar pages to supporting articles.
• Refresh pages when tools, regulation, or market context changes.

Visibility begins outside the AI interface

ChatGPT and Perplexity use different retrieval systems, but both benefit from information that is public, accessible and credible. There is no secret AI ranking factor for an SME to unlock. Build a strong public knowledge footprint with clear services, local relevance, expert articles, consistent company data and mentions on reputable third-party sites.

• Keep key pages indexable with accurate self-referencing canonicals.
• Publish specific answers and evidence from real work.
• Use consistent names, locations, expertise and author information.
• Earn relevant mentions through partners, trade media, cases and directories.

How a local specialist becomes recognisable

An AI consultant serving Bristol gains more from a substantial service page, a specific case, a clear expert profile and local partner mentions than from twenty pages with swapped city names. Supporting articles can address regional business concerns and link back to the service. Together these assets form a coherent subject that systems and prospective customers can verify.

Work in question clusters

Choose a commercial subject and create a limited set of pages with distinct jobs. The service page converts, the guide explains, the comparison supports a choice and the case demonstrates delivery.

• Define the questions and markets for which the brand should be considered.
• Study the sources currently used in answers and what makes them useful.
• Create one strong primary page and focused supporting resources.
• Add proof through cases, authors, source links and external mentions.
• Run a stable prompt set periodically and record wording and sources.

Monitor with a stable prompt set

AI answers are not fully repeatable. Use the same set of commercial questions across several systems each month, then combine the results with Search Console trends.

• Tracked prompts where the brand appears accurately.
• Answers containing a clickable source to the site.
• Accuracy of brand description, services and locations.
• Organic visits and enquiries on supporting pages.

Avoid manipulative shortcuts

Bulk-generating pages, repeating brand claims or hiding text does not create durable visibility and can damage ordinary search performance. One citation also proves little. Focus on questions where the company has genuine experience, a useful answer and a credible reason to be selected as a source.

Build a source profile beyond your own website

AI search systems do not assess a single page in isolation. They try to understand the organisation behind the information and whether other credible sources support that picture. Keep the company name, expertise, authors and offices consistent across your site, industry profiles, partner pages and relevant publications. External mentions do not need to be numerous. One substantive reference from a respected trade source can be more useful than dozens of generic directory listings.

• Publish clear author information, experience, sources and verifiable contact details.
• Earn mentions through research, useful frameworks, practical cases and partnerships.
• Keep services, locations and areas of expertise factually consistent across platforms.

Map questions by market and buying stage

People ask ChatGPT and Perplexity longer, more contextual questions than they type into a traditional search box. Organise content around the decisions behind those questions: learning, comparing, budgeting, assessing risk and selecting a supplier. Build the question map separately for each language using local terminology, regulation and buying habits. A Spanish owner will not frame every need in the same way as a Dutch or British decision-maker. Localisation therefore affects discovery, not just readability.

• Give each core question a primary page with a concise answer and supporting detail.
• Connect guides, comparisons, cases and service pages with descriptive internal links.
• Review facts, prices, dates and product names whenever the underlying reality changes.

Measure visibility as a repeatable research exercise

There is no universal ranking position inside an AI answer. Results vary by wording, model, location and time. Maintain a fixed set of representative prompts and repeat the test under comparable conditions. Record whether AI JOB TEAM is mentioned, which URL is cited, which competitors appear and whether the description is accurate. Use repeated patterns to improve content and authority rather than reacting to every isolated answer.

• Track brand mentions, cited sources, topic share and factual accuracy.
• Store the prompt, date, language, market, model and search mode for every test.
• Compare AI visibility with organic sessions, branded search and qualified enquiries.