Be Found in the Changing Landscape of Search
ChatGPT, Claude, Perplexity, and Google’s AI Overviews and AI Mode are answering questions that used to send traffic to your website. If AI models don’t know about your brand, or worse, recommend your competitors, you’re invisible to a growing portion of your audience.
We’ve developed a comprehensive (yet ever-evolving) approach to help brands build visibility in AI search results.
Your potential customers are asking AI assistants for recommendations, comparisons, and solutions. These conversations are happening without you unless you've optimized for them.
But, there’s some nuanced overlap with much of what we’d already be doing for SEO. “Traditional” SEO tends to heavily favor a focus on ranking for keywords. AI search requires a more holistic approach. It’s about ensuring AI models:
- Know who you are and what you do
- Understand your expertise and authority in your space
- Cite your content when answering relevant queries
- Recommend your brand over competitors
If you’re not actively managing your presence in AI search results, you’re leaving visibility (and revenue) on the table.
We combine discovery, continuous optimization, and strategic content decisions.
First, we start with AI Search Discovery.
What does AI know about your brand right now?
We systematically test how AI models respond to queries in your space. This shows us whether AI models recognize you as a category leader, or if competitors are dominating the conversation.
Which pages are AI models visiting?
Through server log file analysis, we track when AI model bots (like ChatGPT's GPTBot or Claude's ClaudeBot) visit your website. These visits often correlate directly with citations in AI responses.
Where do you stand against competitors?
We run competitive gap analysis to see which prompts and queries your competitors have visibility for that you don't. This identifies immediate opportunities to close the gap.
What We Deliver:
- AI Readiness Assessment
- Log file analysis showing AI crawler activity
- Competitive visibility comparison across major AI platforms
- Brand association analysis
- Action plan with strategic recommendations
AI Search Growth Cycle
Visibility Tracking
Monitor brand mentions and citations across platforms over time
Competitor Gap Analytics
Identify where competitors win and opportunities to close the gap
Content Creation & Optimization
AI-optimized content that machines understand and humans love
Growth Measurement
Track meaningful business impact, not just mention counts "Growth Not Just Visibility"
Continuous Optimization
Data-driven insights feed back into prompt refinement and content strategy, creating a perpetual growth engine
How AI Search Integrates with Other Capabilities
The Big Picture
SEO Strategy
Traditional keyword research informs AI prompt development. On-page optimization benefits both traditional and AI search. Content structure serves both human readers and AI models.
Content Strategy
Content audits identify both traditional and AI optimization opportunities. Topic clusters support AI understanding of expertise. Internal linking helps AI models navigate your authority.
Technical SEO
Technical improvements enhance AI crawler access. Site structure optimization supports AI/LLM consumption. Schema markup enhances AI model comprehension.
Analytics
Track AI-intent queries driving traffic. Measure the impact of AI search on overall organic performance. Monitor AI Overview impressions and clicks in Search Console.
How is AI search different from traditional SEO?
Traditional SEO focuses on ranking in search engine results pages. AI search focuses on being cited, recommended, and understood by AI models when they answer user queries directly. The optimization strategies overlap but require different approaches because the consumption patterns are fundamentally different.
Which AI platforms do you optimize for?
We focus on the major platforms where visibility matters most: ChatGPT, Claude, Perplexity, Google’s AI Overviews, AI Mode (including Gemini), and Microsoft Copilot. We also monitor emerging platforms as they gain traction.
How long does it take to see results?
Clients typically see measurable improvements in brand mentions and citations within a 1-2 months of implementing optimizations. Competitive positioning improvements often take longer as models are retrained with updated data.
Can you guarantee my brand will be recommended?
We can’t guarantee specific outcomes because we don’t control AI model training or updates. What we can do is significantly improve the probability of visibility by optimizing the factors AI models use to determine authority, relevance, and trustworthiness.
Do I need to choose between traditional SEO and AI search optimization?
No, they work together. Many AI search optimization practices (like improving content quality, authority, and structure) also benefit traditional SEO. We recommend an integrated approach that addresses both channels.