There’s been a fundamental shift in how people discover brands, experts, and businesses. For the longest time, PR professionals optimized for one goal: earn the headline, get the placement, and land on page one of Google. That playbook is no longer enough. A new audience has entered the room, and it doesn't browse search results. It synthesizes them.
AI-powered search tools such as ChatGPT, Perplexity, Claude, Google's AI Overviews, Bing Copilot are more and more becoming the first place people turn for recommendations, expert opinions, and brand research. Instead of clicking through a list of links, users ask a question and the brands and voices that are listed in those answers are there because they've done the PR work that trains AI systems to trust and surface them.
In fact, Gartner predicts that by 2027, this trend will drive a 2x increase in PR and earned media budgets, as brands focus on visibility in AI-generated answers. Unlike traditional search, AI engines heavily favor earned and organic content.
As a result, it says, communications leaders are shifting budgets toward brand storytelling, and owned platforms in an effort to strengthen answer engine optimization (AEO)and also to maintain narrative control.
If you're not thinking about AI visibility as part of your communications strategy right now, get with the program, you're already behind. Here's some advice on how to catch up.
Understand How AI "Learns" Who You Are
AI search doesn’t start over, from scratch every time someone asks a question. They draw on datasets of publicly available content such as your law firm news, articles you’ve published, interviews you’ve been quoted in, press releases your firm has sent out, Wikipedia entries, podcasts, your social media accounts and activity. The more reach and repetition your name or brand have and appears across these sources, the more likely you are to be cited as a credible source.
Think of AI tools as pattern matchers that can recognize authority through repetition and source quality. Therefore, a lawyer who is quoted in three or four legal, or industry trades, mentioned in a podcast transcript, and profiled in a regional business journal is more likely to be surfaced as a subject-matter expert than someone with a one off viral LinkedIn post. You see that clearly, right?
Build a Consistent, Cross-Platform Editorial Footprint
The foundation of AI visibility is what I call your editorial footprint. It is the cumulative body of written, spoken, and cited content that exists about you or your brand across the open web.
Some practical steps to boost AI visibility include:
· Secure consistent bylines in a variety of industry publications such as your local trade, legal and business outlets. Guest columns in trade media carry enormous weight with AI systems because they signal domain expertise and editorial credibility. Go for outlets with a high domain authority.
· Pursue podcast appearances. Transcripts from reputable podcasts are indexed by AI tools. A 30-minute conversation where you speak authoritatively about your area of expertise becomes a data rich, searchable data point.
· Optimize your Wikipedia presence. AI tools heavily weight Wikipedia. If a Wikipedia entry about your law firm, company or industry mentions you, that reference carries outsized influence.
Example: A fintech startup struggled to appear in AI-generated answers about payment solutions. They spent six months working with their PR team to earn placements in American Banker, CFO Magazine, and two fintech-focused podcasts. Within a quarter, the company's CEO began appearing regularly in AI-generated answers when users asked tools like Perplexity about embedded finance trends.
Control the Language of Your Expertise
AI systems are essentially very sophisticated readers. AI picks up on consistent language patterns and well-placed SEO. When you issue your press releases, bios, and media quotes, where they all describe you using the same specific phrases such as “supply chain resilience expert" or "climate risk communications strategist,” those patterns reinforce AI categorization. So, use your SEO wisely.
This is how your strategic communications messaging discipline becomes a technical PR asset. So, you want to be sure and audit every public-facing touchpoint, including your firm website, bio, and LinkedIn summary, and ensure your language is specific, consistent, and repeated. Vague descriptors like "thought leader" or "innovator" mean nothing to an AI system. Precise language that maps to real search queries does. Refresh your bio with regularity to update the search word potential.
Leverage Structured Data and Press Releases Strategically
We are also seeing quite a renaissance in the humble press release in the AI era. When these are distributed through one of the many wire services like PR Newswire or BusinessWire, press releases are widely indexed and read by AI training pipelines. A well-structured release, with clear subject-verb-object sentences, specific data, named experts, and industry terminology feeds AI systems exactly the kind of authoritative content they prioritize.
Pair this with structured data markup on your website (schema.org formats for "Person," "Organization," and "Article") to further signal to AI crawlers who you are, what you do, and why you're credible.
Own the FAQ Narrative
AI search is fundamentally question-and-answer in structure. That means the brands that are doing it right have content that is written to answer specific questions directly and authoritatively. Create a robust FAQ section on your website. Publish blog posts and articles that open with the relevant questions your target audience is asking. Then answer them clearly and specifically in the first paragraph. Create top takeaways at the top of your posts for extra clarity and precise information on what the writing ultimately contains.
This approach, sometimes called Answer Engine Optimization (AEO), is where PR and SEO strategy are converging. Communicate with clarity, not cleverness.
Answer Engine Optimization (AEO) starts out with understanding user intent by identifying the questions your target audience is asking through tools such as Google’s People Also Ask, Answer the Public, and your own site’s search queries, then they organize those questions by topic and intent to guide your content strategy. Content should be structured so that both humans and machines can easily extract answers. Using a clear question-and-answer format with the direct answer presented upfront in roughly 40–60 words, supported by clear headings, bullet points, and FAQ sections.
AI-powered search isn't replacing PR. PR is not dead; it's raising the stakes of doing it well. Every media placement, byline, podcast, and speaking engagement is now dual-purpose: it builds awareness, and it trains algorithms.
As far as the algorithm goes, continue to feed it quality, and it will return the favor.
Published on Law.com 3/19
Elizabeth Lampert, is a PR strategist specializing in brand visibility, executive positioning, tabletop facilitation, and emerging media. She advises growth-stage companies and law firms on building authority in an AI-driven media landscape.
Lara Cupit, Dallas based, is a brand story teller, traditional PR and crisis strategist.

