How Professional Services Can Get Discovered in ChatGPT & Perplexity (AEO Playbook for Local Experts)

AI Search Optimization Answer Engine Optimization (AEO) Perplexity SEO
Govind Kumar
Govind Kumar

Co-founder/CPO

 
December 23, 2025 4 min read
How Professional Services Can Get Discovered in ChatGPT & Perplexity (AEO Playbook for Local Experts)

The way people search for services is changing rapidly. Artificial intelligence-powered tools like ChatGPT and Perplexity are no longer just for casual queries; they are becoming primary points of discovery for professionals. Businesses that understand how to position themselves effectively within these AI-driven platforms can attract highly relevant leads without traditional advertising. This guide explores strategies that professional services can use to improve visibility, answer user intent, and establish authority in AI search results.

Optimizing Content for AI Search

Accountants, lawyers, and consultants need to rethink how their content reaches potential clients. Unlike traditional search engines, AI models prioritize concise, factual, and contextually relevant answers over keyword-stuffed pages. For example, when users ask for trusted superannuation specialists, firms offering Perth’s dedicated SMSF accounting service are more likely to appear if their website and online materials directly respond to common client questions while demonstrating expertise. This involves writing clear explanations, including detailed process overviews, and maintaining up-to-date knowledge that aligns with client concerns.

Understanding Intent-Based Queries

AI platforms focus heavily on the intent behind a user’s question rather than just the keywords they include. People searching for professional services often have very specific needs, whether it’s navigating complex tax legislation, planning for retirement, or understanding compliance requirements. Professional service providers can benefit by anticipating these questions and crafting content that provides clear, actionable guidance. For example, a user might ask, “What are the steps to establish an SMSF for retirement?” or “Which tax strategies can reduce liability for small business owners in Australia?” Answering these queries in a structured, informative way signals to AI models that the business is a reliable source. Providing detailed explanations, outlining processes step by step, and offering practical examples helps AI understand the relevance and depth of the content. This approach not only improves the likelihood of being cited in AI-generated responses but also positions the firm as a trusted advisor, increasing credibility with potential clients who rely on AI for guidance.

Technical SEO Adjustments for AI Visibility

  • Use structured data to label services, locations, and credentials.

  • Maintain a FAQ section that mirrors questions clients are likely to ask.

  • Optimize headings and subheadings with natural, intent-focused language.

  • Include clear definitions for industry terms to reduce ambiguity.

  • Ensure content is authoritative by linking to reputable sources.

  • Refresh pages regularly to maintain relevance in AI results.

These SEO adjustments do not just benefit traditional search rankings; they also make it easier for AI platforms to extract accurate answers about the business.

Building Authority Through Quality Content

AI models prioritize sources that demonstrate expertise. Writing articles, guides, and explainer pages that solve real client problems signals authority. Case studies, step-by-step walkthroughs, and insights into industry developments show depth of knowledge. Professionals can also participate in Q&A platforms or publish thought leadership pieces, which AI can crawl and use to generate responses for user queries. The more high-quality, relevant content a business provides, the higher the likelihood it will be referenced in AI-generated answers.

Leveraging Local Expertise

Local credibility plays a significant role in how AI platforms rank and reference professional services. When ChatGPT or Perplexity evaluates queries, they often factor in location-specific relevance to ensure users receive answers that are practical and applicable in their area. Professional services can strengthen their visibility by including information about local laws, regulations, and market conditions that directly impact their clients. Sharing success stories, case studies, or testimonials from local clients can further reinforce trust and relevance. 

An accounting firm that highlights experience with Western Australia’s specific superannuation rules or retirement planning requirements signals to AI that it offers regionally tailored expertise. Including insights into common challenges faced by local businesses or residents, such as property investment regulations or state tax considerations, can make content more actionable. By consistently emphasizing a connection to the community and local knowledge, firms not only increase the likelihood of being cited by AI tools but also enhance their appeal to users who prioritize finding experts familiar with their specific environment.

Continuous Monitoring and Refinement

Visibility on AI platforms is not a one-time effort. Professional services should monitor how often their content is being cited or referenced in ChatGPT or Perplexity. Analytics can reveal which topics generate engagement and which need improvement. Updating information regularly and refining answers to align with evolving user questions strengthens long-term discoverability. Small adjustments, such as rephrasing a common query or adding recent case examples, can significantly impact the AI’s selection of content sources.

AI search tools are transforming how professionals are discovered. By creating content that addresses client intent, establishing authority through in-depth information, optimizing technical elements for machine readability, and maintaining an ongoing refinement process, firms can ensure they appear prominently in AI-powered recommendations. Professional services that adopt these strategies position themselves to reach potential clients efficiently, demonstrate expertise, and become trusted sources in an increasingly AI-driven search environment.

Govind Kumar
Govind Kumar

Co-founder/CPO

 

Govind Kumar is a product and technology leader with hands-on experience in identity platforms, secure system design, and enterprise-grade software architecture. His background spans CIAM technologies and modern authentication protocols. At Gracker, he focuses on building AI-driven systems that help technical and security-focused teams work more efficiently, with an emphasis on clarity, correctness, and long-term system reliability.

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