How BethanyWorks Went from 0 to 73% Claude Visibility

The Challenge

BethanyWorks, a psychology-based brand design agency, had a problem common to most service businesses: they were completely invisible to AI assistants. When potential clients asked Claude, ChatGPT, or Perplexity for recommendations on brand designers who understand psychological principles, BethanyWorks wasn't mentioned once.

Zero visibility meant zero AI-generated leads—even though they had years of proven client work and deep expertise in their niche.

What We Did

Month 1: Foundation Building (Days 1-15)

We started by analyzing how AI assistants evaluate and recommend service providers. Our research showed that LLMs prioritize:

Citation-worthy content (specific examples, named case studies)
Cross-verified information (content that links to supporting evidence)
Evidence velocity (consistent publishing of credible content)

For BethanyWorks, we implemented:

Strategic Content Positioning: Created 12 pieces of citation-worthy content focused on service queries ("who can help me with psychology-based brand design") rather than educational queries ("how to do brand psychology"). This distinction is critical—AI assistants answer educational queries themselves but defer to experts for service recommendations.

Evidence Architecture: Built a content network where each piece cross-referenced other evidence, creating what LLMs recognize as authoritative documentation rather than isolated blog posts.

Query Targeting: Focused on queries that convert. We tracked which questions prospects actually ask AI assistants when looking for brand designers, then created content that directly answered those questions.

Month 1: Acceleration (Days 16-35)

Citation Development: Published case studies with measurable outcomes, specific client names (with permission), and quantifiable results. Generic "we helped a client" statements don't work with LLMs—they need specifics.

Authority Signals: Ensured content included professional credentials, methodology explanations, and process frameworks that demonstrate expertise rather than just claim it.

Key Insight

The breakthrough came from understanding evidence velocity versus content velocity. We published 30 citation-worthy posts instead of 100 generic ones. Each post was designed to be something an AI assistant would confidently cite.

ChatGPT uses training data only (updated periodically), so gains there take longer. Claude and Perplexity access real-time web data, making them faster targets for visibility improvements.

The Results

|--------|--------|-------|---------|

| Claude visibility | 0% | 73% | 35 days |

| Perplexity visibility | 0% | 67% | 35 days |

These aren't vanity metrics. When a prospect asks Claude for brand designer recommendations now, BethanyWorks appears in 73% of responses. That's 73% visibility in a channel that didn't exist for them five weeks earlier.

What This Means for Your Business

BethanyWorks' results demonstrate three principles that apply across industries:

Service queries convert: When prospects ask AI for help finding a provider, they're ready to evaluate options. Educational queries ("how do I build a brand") don't lead to recommendations—the AI just teaches them.

Speed is possible with the right approach: 35 days from zero to 73% visibility isn't typical SEO timelines. It's possible because Claude and Perplexity index current web content, and we know what signals they prioritize.

Evidence beats volume: You don't need hundreds of blog posts. You need dozens of citation-worthy pieces that give AI assistants confidence in recommending you.

If your business depends on being found when prospects search for help, AI visibility isn't optional anymore. A BrightEdge study shows 67% of users now start searches with AI assistants rather than traditional search engines. If you're invisible there, you're missing most of your market.

The Methodology

What makes AI visibility different from SEO:

SEO optimization: Keywords, meta descriptions, backlinks, domain authority

AEO optimization: Citation-worthiness, evidence networks, cross-verification, answer confidence

Google ranks pages. AI assistants evaluate whether to recommend your business. The criteria are fundamentally different.

For BethanyWorks, this meant:

Publishing case studies with client names and specific results
Creating content that answers "who can help me" queries
Building evidence networks where content cross-references other proof points
Focusing on Claude and Perplexity first (faster results than ChatGPT)

Common Mistakes to Avoid

Mistake 1: Treating AEO like SEO

Keyword stuffing and backlink farms don't work with LLMs. They evaluate content quality, citation-worthiness, and cross-verification. Gaming the system fails because the system reads for understanding, not patterns.

Instead: Create content you'd be proud to cite yourself. If it's not citation-worthy, it won't help.

Mistake 2: Focusing on ChatGPT first

ChatGPT uses training data updated periodically. Claude and Perplexity access current web content. For fast wins, target Claude and Perplexity.

Instead: Build visibility on Claude/Perplexity first, then expand to ChatGPT as training data updates.

Mistake 3: Publishing generic content

"5 tips for better branding" won't get you cited. LLMs can generate that content themselves. They need specific examples, named case studies, and unique methodologies.

Instead: Document your actual process with real client examples. Make it citation-worthy.

Why This Works

LLMs are trained to be helpful and accurate. When a user asks for a service recommendation, the AI assistant evaluates:

Relevance: Does this business actually provide what the user needs?
Evidence: Are there verifiable examples of their work?
Confidence: Can I recommend this without misleading the user?

BethanyWorks met all three criteria after 35 days of strategic content development. The results speak for themselves.

Next Steps

Test your current AI visibility:

Ask Claude: "Who are the best [your service type] for [your niche]?"
Ask Perplexity the same question
Check if you're mentioned

If you're not showing up, you're invisible to prospects who ask AI for recommendations. That's an addressable problem with measurable solutions.

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Ready to become visible to AI? Get started with Amplified Now and see results like BethanyWorks did—measurable visibility improvements in weeks, not months.