An AI visibility strategy to ensure the most accomplished middle-market M&A firm in North America is recognized as such by the AI models shaping buyer decisions.
Prepared by Intertwine Interactive • February 2026 • Confidential
01 — The Current Landscape
Where Generational Stands in AI Search
Generational Group has earned its reputation through 1,800+ completed transactions, $9B+ in aggregate deal value, and five Investment Banking Firm of the Year awards. But AI-powered answer engines — ChatGPT, Gemini, Perplexity, Google AI Overviews — don’t yet reflect that leadership. Our research reveals a significant gap between Generational’s real-world accomplishments and its AI visibility.
Estimated AI Share of Voice
~15%
Behind Houlihan Lokey (~30%) and Benchmark International (~20%) despite superior transaction volume and award recognition in the middle market.
*Directional estimates based on web intelligence. Precise measurement requires manual AI prompt testing across platforms.
Estimated Visibility by AI Platform
Google AI
Moderate
Perplexity
Moderate
ChatGPT
Weak
Gemini
Weak
Generational Group has won more M&A industry awards and closed more middle-market transactions than nearly any competitor — yet firms with fewer accomplishments but stronger digital authority signals are capturing the AI narrative. The gap between reputation and AI visibility represents both a risk and an enormous opportunity.
02 — Core Vulnerabilities
What’s Limiting AI Visibility
Our analysis identified six structural issues preventing Generational’s real-world dominance from translating into AI visibility:
No Wikipedia Article High
Houlihan Lokey and Woodbridge both have Wikipedia pages — one of the strongest citation sources for AI models. Generational Group, despite 1,800+ transactions and 20 years of history, has no Wikipedia presence. This is arguably the single highest-impact gap to close.
Brand Architecture Fragmentation High
Eight-plus distinct brand entities (Generational Group, Generational Equity, Generational Capital Markets, DealForce, Precocity, etc.) create confusion for AI models. Authority signals are diluted across separate entities rather than consolidated under one knowledge graph entry.
No Tier-1 Editorial Coverage High
The media footprint is dominated by BusinessWire deal announcements rather than editorial features in Forbes, Bloomberg, WSJ, or similar. AI models weight editorial authority significantly higher than syndicated press releases.
Educational Content Gap Medium
Despite educating 115,000+ business owners through conferences, the website doesn’t compete for AI-cited educational queries. The conference IP has not been converted into indexable digital content.
Technical Infrastructure Medium
WordPress site without visible schema/structured data markup. No FAQ schema, Organization schema, or financial services structured data to help AI models parse and cite content.
Third-Party Narrative Control Medium
BBB, Glassdoor, and review sites carry the “Generational Equity” narrative with mixed signals. AI responses may surface these rather than the firm’s awards and track record.
Initial Engagement — 16 Weeks
03 — The Engagement
A Four-Month Sprint to AI Visibility
Our engagement is structured as a 16-week initial phase designed to close the most critical gaps, followed by ongoing services to maintain and grow visibility as AI platforms evolve.
Month 1
Foundation & Technical Infrastructure
Complete technical audit of generational.com and all subsidiary domains. Implement Organization, FAQPage, and FinancialService schema markup. Create structured parent-subsidiary entity relationships. Map the full brand architecture for AI knowledge graph optimization. Begin Wikipedia article research and sourcing.
Deliverable: Full Technical Audit ReportDeliverable: Schema Implementation GuideDeliverable: Brand Entity Architecture MapDeliverable: AI Prompt Baseline Test (25 queries, 4 platforms)
Month 2
Content Strategy & Authority Building
Develop comprehensive AI content strategy covering all 25 query categories. Begin creating pillar content assets (exit planning guides, M&A process explainers, valuation guides). Launch Wikipedia article development. Begin Tier-1 editorial outreach (Forbes, Bloomberg, WSJ). Build executive thought leadership profiles.
Deliverable: AI Content Strategy & Editorial CalendarDeliverable: First 3 Pillar Content AssetsDeliverable: Wikipedia DraftDeliverable: PR Outreach Plan & Media List
Month 3
Content Deployment & PR Execution
Deploy content hub with answer-ready content blocks across all query categories. Publish comparison and competitive content. Execute PR strategy — pitch editorial features, secure bylined articles, target podcast placements. Continue Wikipedia process through community review.
Deliverable: Full Content Hub (15+ pages)Deliverable: Comparison Content SuiteDeliverable: 2-3 Earned Media PlacementsDeliverable: Mid-Engagement AI Prompt Retest
Month 4
Optimization & Measurement
Full AI prompt retest across all 25 queries on all 4 platforms. Measure SOV change and visibility improvements. Optimize content based on platform-specific findings. Finalize ongoing strategy and transition to maintenance phase. Deliver comprehensive results report.
Deliverable: Full AI Visibility Retest (25 queries, 4 platforms)Deliverable: SOV Change ReportDeliverable: Ongoing Strategy RoadmapDeliverable: Phase 1 Results & ROI Report
Ongoing Services — Month 5+
04 — Ongoing: Content & Authority
Sustaining & Growing Visibility
Monthly Content Production
4–6
New content assets per month: pillar pages, comparison updates, industry case studies, thought leadership articles, and executive bylines targeting AI-citable authority domains.
Ongoing PR & Authority
2–3
Earned media placements per month targeting Forbes, Bloomberg, WSJ, Middle Market Growth, Axial, Investopedia, podcasts, and industry conferences.
05 — Ongoing: Technical Support
Keeping the Foundation Strong
AI platforms continuously update their models and citation methodologies. Our ongoing technical support ensures Generational stays ahead:
• Monthly schema audit and updates as site content evolves
• Structured data monitoring for new page types and deal announcements
• Brand entity signal consolidation across new acquisitions/subsidiaries
• AI platform algorithm change monitoring and rapid response
• Quarterly technical health checks and optimization sprints
06 — Ongoing: Measurement & Intelligence
Tracking What Matters
Monthly AI Prompt Testing
25
Queries tested monthly across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Track mention rate, position, citation sources, and competitor presence over time.
Quarterly SOV Report
Full
Comprehensive share of voice analysis with trend data, competitive benchmarking, gap identification, and strategic recommendations for the next quarter.
07 — Investment
Engagement Pricing
Initial Engagement
$8,000/mo
Months 1–4. Technical audit & implementation, content strategy & production, Wikipedia development, AI prompt testing & measurement, executive thought leadership program.
Ongoing Services
$5,000/mo
Month 5+. Ongoing content production (4–6 assets/mo), technical maintenance, monthly AI prompt testing, quarterly SOV reporting.
PR & Authority Building
$5,000/mo
À la carte. Tier-1 editorial outreach (Forbes, Bloomberg, WSJ), earned media placements (2–3/mo), executive visibility program, podcast & speaking placement, Investopedia/NerdWallet editorial relationships.
Platform Costs
At Cost
Passed through with no markup. Wire services ($300–$1,500/release), Qwoted (~$149/mo), and any additional monitoring or distribution tools required.
