AI Marketing Discovery Package for Law Firms

Zero-Risk Assessment of Your Firm’s AI Visibility & Growth Potential Across ChatGPT, Perplexity, Claude & Google AI Overviews

The legal marketing landscape shifted fundamentally in 2024-2025. Potential clients no longer start their attorney search with “personal injury lawyer near me” typed into Google. Instead, they open ChatGPT and ask conversational questions like “What should I do after a car accident in my state?” or “How do I choose a divorce attorney?”

This behavioral change creates an urgent challenge for law firms: if your practice isn’t visible when AI platforms answer these questions, you’re losing cases to competitors who appear in those citations. According to Pew Research Center (survey of 5,123 U.S. adults conducted February 24–March 2, 2025; published June 25, 2025), 34% of U.S. adults have now used ChatGPT, with adoption reaching 58% among adults under 30. These aren’t casual users—they’re relying on legal marketing touchpoints powered by generative AI to make hiring decisions.

The AI Marketing Discovery Package addresses a simple problem: most law firms don’t know where they stand in this new landscape. Traditional SEO reports show Google rankings. Traditional analytics show website traffic. But neither reveals whether your firm appears when someone asks Claude “Who are the top medical malpractice attorneys handling surgical error cases?” That’s the visibility gap the Discovery Package measures—with zero risk and zero sales pressure.

What Is the AI Marketing Discovery Package?

The Discovery Package is a structured diagnostic engagement designed to answer one foundational question: Does your law firm exist in the AI-powered search ecosystem that now drives 34% of legal research behavior? Unlike traditional marketing audits that focus on website performance or Google rankings, this assessment evaluates your firm’s visibility across the six AI platforms that matter most for legal client acquisition in 2026.

Comprehensive 90-Minute Assessment

The core discovery session is a 90-minute strategic consultation conducted by InterCore’s technical team—not sales staff. This distinction matters. You’re working directly with engineers and AI specialists who have 23+ years of experience building search optimization systems, not marketers reading from audit templates. The session operates like a technical diagnostic: systematic testing, competitive benchmarking, and infrastructure analysis focused on Generative Engine Optimization (GEO) readiness.

During the assessment, InterCore tests 20-50 practice-area-specific queries across ChatGPT, Google Gemini, Claude AI, Perplexity, Grok, and Microsoft Copilot. For a personal injury firm, this might include queries like “What damages can I recover after a truck accident?” or “How long do I have to file an injury claim in [state]?” The goal is simple: identify whether your firm appears in AI-generated answers, how often you’re cited relative to competitors, and what technical factors determine citation eligibility.

What You’ll Receive

Every Discovery Package participant receives a detailed written analysis delivered within 5 business days of the session. This isn’t a sales pitch disguised as an audit. The deliverable includes:

• AI Platform Visibility Report: Platform-by-platform breakdown showing citation frequency, competitor comparison, and specific queries where your firm did (or didn’t) appear
• Technical Infrastructure Assessment: Evaluation of schema markup, E-E-A-T signals, content authority markers, and structured data implementation affecting AI citation eligibility
• Competitive Benchmarking Matrix: Side-by-side analysis of your visibility versus 3-5 direct competitors in your practice areas and markets
• Immediate Action Items: Prioritized list of 3-5 technical fixes that can improve AI visibility within 30-60 days
• Custom Measurement Framework: Query sets and testing protocols your internal team can use to track AI citation performance over time

The analysis is yours to keep regardless of whether you engage InterCore for implementation. This approach reflects a core principle: law firms make better decisions when they understand the landscape, not when they’re pressured by aggressive sales tactics.

Who This Is For

The Discovery Package serves law firms at three distinct stages. First, practices already investing in traditional SEO who want to understand whether that investment translates to AI platform visibility. Many firms rank well on Google but don’t appear in ChatGPT or Perplexity citations—the discovery session quantifies that gap. Second, firms evaluating marketing agencies and seeking objective technical analysis before committing to multi-year contracts. The assessment provides leverage: you can ask prospective agencies specific questions about GEO capabilities based on InterCore’s findings. Third, practices with in-house marketing teams who need specialized AI optimization expertise their current staff lacks.

This diagnostic is not appropriate for firms seeking immediate lead generation campaigns or practices unwilling to engage with technical marketing concepts. The value proposition centers on strategic clarity and competitive intelligence, not short-term traffic spikes.

Why AI Visibility Matters for Law Firms in 2026

Understanding why AI platform visibility matters requires examining how legal consumers actually find attorneys today versus how law firms assume they’re being found. The gap between these two realities creates significant competitive advantage for practices that adapt early.

The Shift from Google Search to AI Platforms

According to Pew Research Center’s most recent study (survey of 5,123 U.S. adults conducted February 24–March 2, 2025; published June 25, 2025), 34% of U.S. adults have now used ChatGPT. Among adults under 30—a demographic that will drive legal hiring decisions for the next 40 years—adoption reaches 58%. Perhaps more critically, the same research shows that 52% of adults with postgraduate degrees use these platforms, representing the exact audience profile most law firms target.

This adoption translates directly to legal research behavior. When someone types “What should I expect during a deposition?” into ChatGPT rather than Google, the algorithmic logic determining which law firms appear in the answer operates on entirely different principles than traditional SEO. Generative Engine Optimization (GEO) emerged as the discipline addressing this new visibility challenge, backed by peer-reviewed research published in the Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’24), Barcelona, Spain, August 25-29, 2024.

ChatGPT, Perplexity, and Claude Are Now Research Tools

The AI platforms that matter for legal marketing operate with distinct technical architectures. ChatGPT optimization requires understanding how OpenAI’s models prioritize authoritative content with strong E-E-A-T signals. Perplexity AI emphasizes real-time web search integration and direct citation of sources, creating different optimization requirements than ChatGPT. Claude AI from Anthropic demonstrates particular sensitivity to content structure, technical accuracy, and transparent limitation statements.

For law firms, this technical diversity creates a strategic problem: optimization tactics that improve visibility on one platform may not transfer to others. The Discovery Package addresses this by testing across all six major platforms simultaneously, revealing which aspects of your digital presence work universally and which require platform-specific refinement. This multi-platform approach differentiates InterCore’s methodology from agencies that focus exclusively on Google or that treat all AI platforms as interchangeable.

Measurement Framework: How to Track AI Citations

One immediate challenge law firms face when evaluating AI visibility is the absence of traditional analytics. Google Search Console shows impressions and clicks. AI platforms don’t. This measurement gap makes it impossible to track progress using conventional marketing KPIs. InterCore’s Discovery Package includes a custom measurement framework designed to address this limitation:

This framework becomes particularly valuable for firms working with marketing agencies. Instead of relying on vague promises about “AI optimization,” you can demand monthly reports showing citation rate changes across specific query sets. The Discovery Package deliverable includes pre-populated query sets customized to your practice areas, eliminating the research time required to build this testing infrastructure independently.

What We Analyze During Your Discovery Session

The 90-minute discovery session follows a structured four-part analysis designed to provide actionable intelligence across multiple dimensions of AI visibility. This isn’t a superficial “quick scan” audit. InterCore’s technical team conducts live testing during the session, showing you in real-time how your firm appears (or doesn’t appear) when AI platforms answer practice-area-specific legal questions.

AI Platform Visibility Testing Across 6 Platforms

The core of every discovery session is systematic testing across ChatGPT, Google Gemini, Claude AI, Perplexity, Grok, and Microsoft Copilot. InterCore uses a standardized query protocol developed from the GEO research published at KDD ’24 (Aggarwal et al., 2024), testing 20-50 queries that potential clients in your practice areas would actually ask. For a family law firm, this might include queries like “How is child custody determined in [state]?” or “What factors affect spousal support calculations?” For personal injury practices, queries focus on liability, damages, and procedural timelines.

During live testing, you’ll see exactly how each platform responds. Some queries produce direct citations to specific law firms. Others generate generic legal information without mentioning any attorneys. The pattern of which queries trigger firm citations versus generic responses reveals critical optimization opportunities. InterCore documents every test result, creating a baseline visibility report that quantifies your current AI presence with precision unavailable from traditional marketing audits.

Competitive Benchmarking Analysis

Understanding your AI visibility in isolation provides limited strategic value. The competitive context matters more. During the discovery session, InterCore tests the same query sets for 3-5 direct competitors you identify. This creates a benchmarking matrix showing relative visibility: which firms dominate citations in your practice areas, which platforms favor which competitors, and where gaps exist that your firm could exploit.

Competitive analysis often reveals unexpected patterns. A competitor may rank poorly on Google but appear consistently in Perplexity citations, suggesting they’ve implemented effective content authority strategies that traditional SEO metrics don’t capture. Another practice might dominate ChatGPT mentions but lack visibility on Claude or Gemini, indicating platform-specific optimization gaps. These insights inform strategic decisions: should you focus resources on platforms where you’re already competitive, or target platforms where competitors have overlooked opportunities?

Technical Infrastructure Review

AI platform citation eligibility depends heavily on technical factors that traditional SEO tools don’t measure effectively. InterCore’s discovery session includes a comprehensive review of your website’s technical infrastructure from an AI optimization perspective. This assessment examines schema markup implementation using the same standards documented in InterCore’s 200-Point SEO Technical Audit Checklist, with particular focus on legal-specific structured data requirements.

Key technical elements reviewed include Attorney schema implementation, LocalBusiness markup accuracy, FAQPage structured data for common legal questions, and review schema integration. InterCore also evaluates E-E-A-T signal strength: author credentials, publication dates, update frequency, external citations to authoritative sources, and limitation statements that demonstrate intellectual honesty. Research published at KDD ’24 suggests that AI platforms prioritize content demonstrating clear expertise markers and transparent acknowledgment of uncertainty—factors that differentiate authoritative legal content from generic marketing material.

Content Authority Assessment

The final component of discovery analysis evaluates content authority: how effectively your firm’s published content demonstrates legal expertise that AI platforms recognize and cite. This goes beyond word count or keyword density. InterCore’s team reviews content structure, citation practices, limitation acknowledgments, and topical depth across your highest-traffic practice area pages.

Content authority indicators include: external citations to case law, statutes, or regulatory sources; specific examples demonstrating practical application of legal principles; transparent discussion of uncertainty or jurisdiction-specific variations; author credentials and expertise markers; and content freshness with visible publication/update dates. The assessment also identifies content gaps: practice areas where your firm has service pages but lacks the educational content that AI platforms use to establish expertise context. These gaps often represent the highest-ROI optimization opportunities because adding authoritative content in low-competition topic areas can produce immediate citation improvements.

The Discovery Package Process

The Discovery Package operates as a four-step engagement designed for efficiency and clarity. From initial inquiry to final deliverable, the entire process typically completes within 10-12 business days. This timeline reflects InterCore’s operational approach: technical rigor without bureaucratic delay.

Step 1: Pre-Assessment Questionnaire

After scheduling your discovery session, InterCore sends a pre-assessment questionnaire designed to maximize the value of the 90-minute consultation. This isn’t a lengthy intake form. The questionnaire asks for: practice areas and geographic markets you serve; 3-5 direct competitors you consider most relevant; current marketing investments and channels (SEO, PPC, content marketing); and specific concerns or questions about AI visibility. Completing this questionnaire takes approximately 15 minutes and ensures the discovery session focuses on your specific competitive context rather than generic legal marketing concepts.

Step 2: 90-Minute Strategic Session

The core discovery session happens via video conference with InterCore’s technical team. You’ll see live demonstrations of AI platform testing, competitive benchmarking results, and technical infrastructure analysis. The session operates as a working consultation: InterCore presents findings, you ask questions, and both parties identify immediate opportunities and longer-term strategic considerations. Unlike traditional agency pitches, there’s no pressure to commit to ongoing services. The goal is transferring knowledge and competitive intelligence, not closing sales.

Most discovery sessions reveal 3-5 immediate optimization opportunities that practices can implement independently. InterCore shares these findings openly, including specific technical instructions for fixes that don’t require specialized AI development expertise. For more complex recommendations—such as comprehensive AI-powered SEO restructuring or advanced schema implementation—InterCore can provide implementation support, but there’s no obligation to engage beyond the discovery phase.

Step 3: Custom Analysis Delivery

Within 5 business days of the discovery session, InterCore delivers a written analysis report typically 15-25 pages in length. This document includes the complete AI platform visibility assessment (platform-by-platform citation results for all tested queries), competitive benchmarking matrix with visibility scores for your firm and all tested competitors, technical infrastructure review with prioritized recommendations, content authority assessment identifying optimization opportunities, and the custom measurement framework with pre-populated query sets for ongoing tracking.

The analysis report is yours to keep and use however you see fit. Many firms share it with their existing marketing teams to guide internal optimization efforts. Others use it as evaluation criteria when vetting marketing agencies, asking prospective partners to address specific gaps InterCore identified. Some practices use the report to justify budget allocation for AI marketing initiatives, leveraging the competitive benchmarking data to demonstrate strategic necessity to firm management.

Step 4: Optional Implementation Roadmap

If you decide InterCore’s approach aligns with your firm’s needs, Step 4 involves developing a detailed implementation roadmap. This roadmap translates discovery findings into a phased execution plan with specific deliverables, timelines, and success metrics. Implementation typically follows a 90-day sprint structure focused on high-impact optimizations first: fixing critical technical infrastructure gaps, creating authority content for high-opportunity practice areas, and implementing platform-specific optimization tactics informed by proven GEO tactics.

InterCore’s implementation approach differs from traditional legal marketing agencies in a critical way: work is performed by technical specialists with AI development backgrounds, not junior content writers or SEO generalists. This technical depth explains why InterCore can address complex optimization challenges—such as dynamic schema generation, platform-specific content adaptation, and measurement framework automation—that conventional agencies lack the engineering capability to execute.

What Makes InterCore’s Discovery Package Different

Dozens of marketing agencies now claim AI optimization capabilities. Most adapted their traditional SEO services by adding ChatGPT to their content creation workflow, then rebranded existing offerings as “AI marketing.” InterCore’s approach differs fundamentally because the company’s expertise predates the current generative AI trend by more than two decades.

23+ Years of AI Development Experience

InterCore Technologies has operated as an AI-focused development firm since 2002—long before “AI marketing” became an industry buzzword. This timeline matters because it demonstrates deep technical expertise rather than opportunistic rebranding. The company’s engineering team includes specialists with backgrounds in machine learning, natural language processing, and search algorithm optimization. When InterCore analyzes your AI visibility, you’re working with developers who understand how language models process and prioritize content at an architectural level, not marketers who learned about AI from vendor webinars.

This technical foundation enables capabilities that typical agencies cannot replicate. InterCore has developed proprietary testing tools for systematic AI platform evaluation, built automated schema generation systems that adapt to platform-specific requirements, and created measurement frameworks that track citation performance across multiple platforms simultaneously. These tools emerged from years of AI development work, not from adopting third-party marketing software. The Discovery Package leverages this technical infrastructure to provide insights unavailable through conventional marketing audits.

Zero Sales Pressure—Pure Technical Assessment

Most agency audits function as sales tools designed to identify problems the agency wants to sell solutions for. InterCore’s Discovery Package operates differently by design. The 90-minute session is conducted by technical staff, not sales representatives. There’s no pitch for ongoing services during the consultation. The written analysis you receive contains actionable recommendations regardless of whether you engage InterCore for implementation. This approach reflects a fundamental business philosophy: law firms make better decisions when they understand their competitive position clearly, and desperate sales tactics undermine the trust required for effective long-term partnerships.

The zero-pressure approach creates an unusual dynamic for law firm decision-makers accustomed to aggressive agency sales processes. Many Discovery Package participants report surprise that InterCore openly shares technical recommendations they could implement independently. This transparency serves strategic purposes: it demonstrates technical competence, builds trust through demonstrated expertise rather than claimed capabilities, and filters for clients who value technical depth over superficial marketing metrics. Firms that appreciate the Discovery Package’s educational approach tend to become excellent long-term clients because they understand and value the work being performed.

Detailed Competitive AI Visibility Analysis

Traditional marketing audits focus exclusively on your firm’s performance. InterCore’s Discovery Package dedicates substantial analysis to competitive benchmarking because AI visibility is inherently relative. Appearing in 40% of relevant ChatGPT citations might represent excellent performance if your top competitor appears in 30% of citations. The same 40% citation rate represents a significant gap if competitors average 60%+. Without competitive context, visibility metrics lack strategic meaning.

The competitive analysis component reveals strategic opportunities that single-firm audits miss entirely. InterCore’s testing often identifies practice areas or query categories where competitors have strong Google rankings but weak AI visibility. These represent high-opportunity targets: less competition for AI citations combined with demonstrated demand (evidenced by competitors’ Google rankings). The discovery analysis highlights these gaps explicitly, providing clear direction for initial optimization efforts that maximize return on marketing investment.

Access to Proprietary Testing Tools

InterCore has developed specialized testing infrastructure that participants can access during and after the discovery session. This includes the Attorney Schema Generator, a free tool for creating legal-specific structured data that AI platforms recognize, and the ROI Calculator for modeling marketing investment scenarios. Additionally, discovery participants receive access to InterCore’s AI citation testing protocol, enabling ongoing monitoring of visibility changes as you implement optimization recommendations.

These tools emerged from internal development work solving InterCore’s own optimization challenges for client implementations. Rather than keeping them proprietary, InterCore makes them available to the broader legal marketing community. This open-access approach reflects the same transparency philosophy that shapes the Discovery Package structure: better-informed law firms make the entire industry more competitive, raising standards for everyone rather than hoarding competitive advantages.

Real Discovery Package Outcomes

The following examples represent typical findings from discovery sessions across different practice areas. These outcomes illustrate the kinds of competitive intelligence and technical insights the assessment provides. Specific results vary based on each firm’s existing digital presence, competitive landscape, and practice area focus.

Personal Injury Firm Visibility Gap Analysis

A California personal injury practice with strong Google rankings requested a discovery session to evaluate AI platform readiness. The firm ranked in the top 3 Google results for primary keywords like “car accident lawyer [city]” but wanted to understand their ChatGPT and Perplexity visibility before competitors gained first-mover advantage in the AI space.

InterCore’s testing revealed a significant gap: the firm appeared in only 12% of 50 tested queries across ChatGPT, Gemini, and Perplexity, while their top competitor appeared in 47% of the same queries. Technical analysis identified the root cause: comprehensive Google SEO optimization (title tags, meta descriptions, backlinks) but minimal schema markup, no author credentials on content pages, and generic service descriptions that lacked the substantive legal analysis AI platforms prioritize when determining expertise.

The discovery analysis recommended three immediate actions: implementing Attorney and LocalBusiness schema across all attorney bio and office pages; adding detailed FAQ sections with specific legal analysis to top practice area pages; and publishing author-attributed content demonstrating expertise in high-demand topics like “comparative negligence in California auto accidents.” The competitive benchmarking showed that the dominant competitor had implemented similar tactics 8-12 months earlier, explaining their AI visibility advantage despite comparable Google rankings.

Family Law Practice AI Readiness Score

A family law firm serving multiple Ohio markets engaged InterCore for discovery analysis after noticing declining contact form submissions despite stable Google rankings. The firm suspected potential clients were finding answers to legal questions via AI platforms without visiting law firm websites. InterCore’s testing confirmed this hypothesis: across 40 tested queries related to divorce, child custody, and spousal support, the firm appeared in zero Perplexity citations, 3 ChatGPT mentions (7.5%), and 1 Claude reference (2.5%).

Competitive analysis revealed that Ohio family law practices generally showed poor AI visibility, with even the strongest competitor appearing in only 15% of tested queries. This market-wide visibility gap represented a strategic opportunity: investing in GEO optimization while competitors remained focused exclusively on Google SEO could establish early dominance in the AI channel. InterCore’s analysis identified that family law queries often involve complex, jurisdiction-specific questions ideal for demonstrating expertise through substantive content—exactly the kind of material AI platforms cite when answering legal questions.

The discovery deliverable included a custom content roadmap focusing on Ohio-specific family law topics: how Ohio courts calculate child support using state guidelines, property division in Ohio divorces under equitable distribution principles, and parenting time standards in different Ohio counties. This content approach addressed both the AI visibility gap and the firm’s underlying concern about declining website conversions by positioning the practice as the authoritative source for Ohio family law guidance that AI platforms would naturally cite.

Criminal Defense Firm Competitive Positioning

A criminal defense practice specializing in DUI and drug offense cases requested discovery analysis to evaluate whether their substantial investment in traditional legal directories and review sites translated to AI platform visibility. The firm had excellent Avvo ratings, active Martindale-Hubbell profiles, and hundreds of Google reviews. InterCore’s testing showed these investments produced minimal AI visibility impact: 8% citation rate across tested platforms, with most citations appearing in generic lists rather than contextual recommendations.

The competitive benchmarking revealed an interesting pattern. Competitors with weaker directory presence but stronger educational content footprints (blogs, legal guides, state-specific criminal procedure explanations) achieved 3-4x higher AI citation rates. This finding challenged the firm’s marketing assumptions: traditional legal marketing signals (directory listings, reviews, awards) that heavily influenced Google rankings and consumer trust showed limited impact on AI platform citation logic. AI platforms appeared to prioritize substantive legal analysis and expertise demonstration over reputation proxies.

InterCore’s recommendation focused on repositioning the firm’s content strategy away from review accumulation toward expertise demonstration. The discovery analysis suggested creating comprehensive guides on topics like “Constitutional protections during DUI traffic stops” and “How evidence suppression works in drug possession cases”—content that answers the specific questions potential clients ask AI platforms when researching criminal defense options. This strategic shift didn’t require abandoning directory investments but rather balancing them with content that AI platforms recognize as authoritative expertise markers.

Investment & Next Steps

The AI Marketing Discovery Package represents a strategic investment in competitive intelligence and technical clarity. Understanding the engagement structure, investment requirements, and post-assessment options helps law firms make informed decisions about whether this diagnostic approach aligns with their needs.

Discovery Package Pricing

InterCore offers the Discovery Package at $2,500 for the complete engagement: pre-assessment questionnaire, 90-minute strategic session with technical team, comprehensive written analysis with competitive benchmarking, custom measurement framework, and access to proprietary testing tools. This pricing reflects the technical depth and competitive intelligence value provided, positioned substantially below what firms would invest in a multi-month marketing contract while delivering the strategic clarity needed to evaluate such commitments effectively.

For firms that proceed to implementation after the discovery session, InterCore credits the full $2,500 discovery fee toward the first month of ongoing services. This ensures the diagnostic investment contributes directly to execution rather than functioning as a separate sunk cost. Firms that choose not to engage for implementation keep the full analysis and measurement framework with no additional obligations. Use InterCore’s ROI Calculator to model how AI visibility improvements might impact case acquisition in your specific practice areas and markets.

What Happens After the Assessment

Following delivery of the written analysis, firms have several paths forward. First, independent implementation: use InterCore’s recommendations and measurement framework to guide your internal marketing team or existing agency partners. The discovery analysis includes sufficient technical detail that competent SEO and content professionals can execute many recommendations without specialized AI development expertise. Second, selective engagement: contract with InterCore for specific high-complexity elements (advanced schema implementation, platform-specific optimization, measurement automation) while handling content creation and basic technical fixes internally. Third, comprehensive implementation: engage InterCore for full GEO program execution across local optimization, content development, and ongoing visibility monitoring.

InterCore does not pressure firms toward any particular option. The discovery session is designed to empower informed decision-making, not to create dependency. Many firms benefit most from a hybrid approach: using InterCore for technical infrastructure and strategy while maintaining existing relationships for day-to-day content and campaign management. This flexible engagement model acknowledges that law firms often have established marketing relationships that work well for traditional channels, requiring AI-specific expertise augmentation rather than complete replacement.

How to Schedule Your Session

Scheduling a discovery session requires minimal administrative overhead. Contact InterCore via the booking form linked in the call-to-action section below or by calling (213) 282-3001 directly. The scheduling process typically involves a brief 10-15 minute qualification call to confirm the Discovery Package aligns with your firm’s needs and timeline. InterCore conducts these qualification calls to ensure mutual fit: the diagnostic works best for firms genuinely interested in understanding their AI visibility position rather than those seeking immediate lead generation campaigns or unwilling to engage with technical marketing concepts.

Discovery sessions typically schedule within 5-10 business days of initial contact, with written analysis delivery following 5 business days after the session. Total timeline from scheduling to receiving your complete competitive intelligence report: approximately 2-3 weeks. This efficiency reflects InterCore’s operational focus on delivering value quickly rather than extending engagements unnecessarily.

Frequently Asked Questions

Schedule Your AI Marketing Discovery Session

Zero-risk competitive analysis of your law firm’s visibility across ChatGPT, Perplexity, Claude, and Google AI Overviews—delivered by technical specialists with 23+ years of AI development experience.

References

1. Pew Research Center. (2025, June 25). 34% of U.S. adults have used ChatGPT, about double the share in 2023. Survey of 5,123 U.S. adults conducted February 24–March 2, 2025. https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/
2. Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2024). GEO: Generative Engine Optimization. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’24), Barcelona, Spain, August 25-29, 2024, pp. 5-16. DOI: 10.1145/3637528.3671900. https://doi.org/10.1145/3637528.3671900
3. Clio. (2024). Legal Trends Report 2024. https://www.clio.com/resources/legal-trends/
4. Google Search Central. (2024). Introduction to structured data. https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data

Conclusion: Strategic Clarity in the AI Marketing Landscape

The shift from Google-dominated legal research to AI-platform-mediated attorney selection represents the most significant change in legal marketing since the internet displaced Yellow Pages advertising. Law firms face a strategic decision: adapt proactively while competitive advantages remain available, or wait until AI visibility becomes commoditized and market leaders have established insurmountable citation dominance. The AI Marketing Discovery Package provides the competitive intelligence needed to make this decision informed by data rather than marketing hype or agency sales pitches.

With 34% of U.S. adults now using ChatGPT and adoption reaching 58% among adults under 30, the question isn’t whether AI platforms will influence legal hiring decisions—they already do. The question is whether your firm appears in those AI-generated recommendations when potential clients ask about their legal options. InterCore’s discovery analysis answers that question with systematic testing, competitive benchmarking, and technical infrastructure review unavailable from conventional marketing audits. For more comprehensive guidance on adapting your firm’s overall marketing approach to the AI-first landscape, explore InterCore’s legal marketing resource hub.

The Discovery Package serves a simple purpose: providing strategic clarity before commitment. Whether you implement recommendations independently, through existing marketing partners, or by engaging InterCore for specialized GEO execution, the competitive intelligence you receive empowers better decisions than operating from assumptions about AI visibility that may or may not reflect actual platform behavior. Contact InterCore to schedule your zero-pressure technical assessment and discover where your firm stands in the AI marketing landscape that now shapes how 34% of potential clients find their attorneys.