Consulting Service

AI Search Strategy

Get discovered in AI answers. Own your story. Measure impact.

When buyers and researchers use AI to search, two things matter: being in the answer, and how you're described. I help you get discovered and own the story that gets repeated—through a structured 9-step process tied to your business and revenue.

The AI Search Challenge

When buyers and researchers turn to AI first, two things decide whether you win: whether you show up, and how you're described. Many teams are stuck on both.

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Not in the answer

You rank on Google, but when people ask ChatGPT, Perplexity, or Google AI—you're missing. The conversation happens without you.

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Can't measure it

You don't know if you're in AI answers, how often, or whether it's driving pipeline. So you can't optimize or report up.

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Unclear what works

You're not sure which tactics actually move the needle in AI search—or how to prioritize effort across content, authority, and measurement.

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Can't tie it to revenue

AI search feels like a black box. You can't connect visibility to pipeline, conversions, or board-level metrics.

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Can't see the competition

You don't know who's winning in AI search for your space or what they're doing to get there.

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Losing to competitors

Competitors are in the answer and owning how they're described. You're absent or an afterthought.

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Someone else's story

You're cited, but the summary is generic, outdated, or favors a competitor. What gets repeated isn't your story—and that's a positioning problem.

Key AI Search Platforms

Your customers are already using these platforms to find information and make decisions.

ChatGPT

OpenAI's conversational AI with web browsing capabilities

Perplexity

AI-powered search engine with real-time web access

Google AI Overviews

Google's AI-generated search result summaries

Claude

Anthropic's AI assistant with web search features

Microsoft Copilot

Microsoft's AI assistant integrated with Bing search

Gemini

Google's multimodal AI with search integration

Grok

xAI's AI assistant with real-time search

Meta AI

Meta's AI assistant across its apps and search

DeepSeek

DeepSeek's AI models with search capabilities

Complete AI Search Strategy & Execution

A systematic 9-step process that combines business understanding, competitive intelligence, and strategic execution to dominate AI search visibility.

Business Deep Dive

Comprehensive analysis of your business, target personas, prospective customers, current keyword rankings, products, services, and overall business model to understand the foundation.

AI Search Query Mapping

Identify the specific questions and prompts your prospective customers are most likely to search for in AI search engines where visibility matters most.

Competitive Landscape Analysis

Analyze who's appearing in AI search results, which brands are getting mentioned and cited, and map the competitive visibility across all major AI platforms.

Gap & Opportunity Identification

Based on competitive analysis, identify where you can show up in AI answers and where you can shift from being misrepresented or absent to owning the story that gets repeated.

AI Traffic Analysis

Identify which pages on your website are currently getting the most visits from AI search engines and understand existing AI-driven traffic patterns.

Citation Source Analysis

Analyze pages getting the most bot visits and understand which content is being used as citations by AI engines to inform optimization strategy.

Content Strategy Execution

Optimize existing content and create new content so that when AI cites you, it repeats your positioning and proof points—your story, not a generic summary.

Authority Building Strategy

Get your brand and expertise mentioned on trusted third-party sites so AI has strong, on-message sources to cite—and the story that gets repeated is yours.

Measurement & Training

Set up comprehensive measurement framework for ongoing tracking, plus train internal teams so they can maintain and expand the strategy independently.

Two-Stream Execution Approach

Two parallel tracks: make your owned content the story AI cites, and build authority so the story others tell about you is the one you want repeated.

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Content Strategy Stream

When AI pulls from your site, it should repeat your positioning and proof points. We optimize and create content so the story that gets cited is the one you've defined—clear, differentiated, and yours.

Website content refresh and optimization
AI-citation-optimized new content creation
Structured data and format optimization
Question-answer format content development
Authority signals and credibility enhancement

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Authority Building Stream

Third-party mentions and expert discussions feed what AI says about you. We work on getting you cited in the right places so the story that gets repeated is yours, not a competitor's or a generic summary.

Strategic outreach to authoritative websites
User-generated content strategy development
Community engagement and thought leadership
Citation-worthy content collaboration
Third-party mention monitoring and optimization

Why This Systematic Approach Works

Unlike generic AI search tactics, this methodology combines deep business analysis, competitive intelligence, and data-driven execution for sustainable competitive advantage.

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Data-Driven Methodology

Systematic 9-step process based on deep business analysis, competitive intelligence, and traffic data rather than guesswork or generic tactics.

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Competitive Intelligence Focus

Always know exactly how you compare to competitors in AI search results and identify specific gaps where you can gain advantage.

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Business-Centric Strategy

Every optimization is tied back to your specific business model, target personas, and revenue goals—so the story that gets repeated in AI is the one you've built for your business.

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Own the Story, Not Just the Mention

Being cited isn't enough—what's said matters. We focus on how you're described in AI answers so your positioning, differentiators, and proof points are what get repeated.

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Sustainable Internal Capability

Comprehensive team training ensures your organization can maintain and expand the strategy without ongoing external dependency.

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Measurable Revenue Impact

Clear measurement framework connects AI search visibility improvements directly to traffic, leads, and revenue attribution.

Who This Is For

For marketing leaders, AI search is both a visibility and a positioning channel: you need to be in the answer, and you need to own the story when you're there. If your customers use AI to research, compare, or decide, you need to show up—and be described on your terms.

Ideal Clients

Brands and enterprises wanting to capture AI search traffic
Brands already mentioned in AI answers who want to own how they're described—so the story that gets repeated is theirs
Marketing and SEO teams needing AI search expertise
Companies losing market share to AI-search-optimized competitors
B2B companies where prospects research using AI tools
Content-driven businesses (publishers, media, education)
Professional services where expertise matters

Frequently Asked Questions

Common questions about AI search visibility and strategy.

What do you mean by 'own the story' in AI search?

Why does 'owning the story' matter if we're already getting cited?

What's included in the business deep dive phase?

How do you identify AI search questions and prompts?

What does competitive landscape analysis involve?

How do you identify pages getting AI search traffic?

What's the difference between content strategy and authority building?

How do you measure success and track progress?

What training do internal teams receive?

How long does the complete process take?

Which AI platforms do you optimize for?

Do you guarantee specific results?

Ready to Dominate AI Search?

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