SEO Optimizers Unveils AI SEO Services to Keep Brands Visible in the Age of Generative Search
SEO Optimizers, a Los Angeles-based digital marketing agency founded by Brandon Leibowitz, has announced a new set of services designed to prepare businesses for the shift from traditional search engines to AI-driven platforms. With Google’s AI Overviews now in global rollout and systems like ChatGPT Search, Claude, and Perplexity gaining traction, the company is moving quickly to give clients visibility in a search landscape that is changing faster than most anticipated.
The Changing Search Landscape
For years, the SEO industry has focused on page-one rankings in Google. That model is under pressure. Users are now asking AI assistants direct questions and receiving synthesized answers instead of a list of links. Analysts estimate that by 2026, more than 30% of search traffic could come from AI-based engines. For a business, being cited in AI answers may soon matter as much—or more—than showing up in organic results.
Leibowitz summed up the stakes clearly: “Search as we know it is changing — and if businesses don’t adapt, they risk becoming invisible.”
New AI SEO Framework
SEO Optimizers’ service lineup targets visibility across multiple AI-driven platforms. The approach includes:
- AIO Optimization: Structuring content so it surfaces in Google’s AI Overviews.
- LLM Visibility: Creating content designed for use in large language models (LLMs) such as ChatGPT, Claude, and Gemini.
- GEO Strategy: Building for AI-native engines like Perplexity and You.com.
- Structured Data and Authority Signals: Implementing schema markup, authoritative backlinks, and brand mentions that AI models trust.
- Answer Engine Optimization: Writing content intended to serve as the cited answer in AI responses, not just a clickable search result.
Methodology and Measurement
Measuring AI visibility requires different techniques than traditional SEO tracking. SEO Optimizers has developed a methodology that combines direct platform data, third-party analytics, and manual auditing. This approach reduces blind spots and provides clients with verifiable results.
- AI Overview Tracking: Using Google Search Console data along with log-file analysis, the agency identifies how often content surfaces in AI Overviews. Custom scripts and APIs pull impression counts directly tied to AI modules rather than standard organic listings.
- LLM Citation Auditing: Responses from ChatGPT, Claude, and Gemini are monitored through automated prompts and manual sampling. The agency runs structured queries at scale to detect whether client content is cited, paraphrased, or excluded. Logs are stored to provide historical comparisons across model updates.
- Referral Traffic Monitoring: Web analytics tools such as Google Analytics 4, Matomo, and server log analysis confirm traffic originating from AI-native search engines like Perplexity, You.com, and Phind. These engines often provide visible citation links, which makes attribution possible.
- Brand Mention Validation: Natural Language Processing (NLP) tools and entity recognition software are used to detect when AI engines reference a client brand by name without linking. These mentions are scored to measure authority presence even when traffic cannot be directly tied back.
- Benchmarking Over Time: A time-series approach is used, comparing baseline performance before optimization with post-implementation data. This helps isolate whether AI visibility gains are tied to the new framework or broader algorithmic changes.
Early campaigns using this methodology reported a 47% increase in AI Overview impressions within 60 days, consistent citations in ChatGPT and Claude, and new referral traffic from Perplexity. The combination of automated testing, human validation, and analytics integration is what allows these results to be actionable rather than anecdotal.
Why This Matters for Businesses
Traditional SEO is no longer enough on its own. If someone asks an AI assistant, “What’s the best SEO company in Los Angeles?” the businesses optimized for AI results will be the ones mentioned. That means visibility is no longer confined to ten blue links—it’s shifting into synthesized responses that might only highlight one or two names. For brands, missing out on this new channel could mean fewer leads, fewer inquiries, and fewer opportunities.
Leibowitz explained the agency’s philosophy this way: “We’re not just chasing algorithms. We’re creating ecosystems of trust so AI systems view our clients as authoritative, reliable sources. That’s the future of SEO—being the answer, not just a search result.”
What Really Counts
From my perspective, agencies talking about “AI SEO” sometimes oversell the novelty. The truth is that many of the same principles that helped businesses succeed in traditional SEO still apply. Schema markup, authoritative links, consistent brand signals, and strong content remain the foundation. Optimizing for AI is less about reinventing the wheel and more about making sure the basics are done right, so AI systems can confidently reference the content.
There is value in refining strategies for AI Overviews and LLMs, but businesses shouldn’t panic or feel they need an entirely new playbook. Most of the work is about clarity, trust, and authority—concepts that have guided SEO for decades. What stands out in SEO Optimizers’ approach is the measurement layer. Tracking AI citations, impressions, and referral traffic gives tangible proof of visibility in environments that still lack standardized reporting. That kind of measurement is where forward-looking agencies can set themselves apart.
Checklist: Preparing for AI SEO
For businesses looking to take practical steps, here are five actions to begin with today:
- Audit Structured Data: Ensure schema markup is complete and error-free so AI engines can easily interpret your content.
- Strengthen Authority Signals: Focus on acquiring high-quality backlinks, citations, and media mentions that reinforce brand trust.
- Monitor AI Mentions: Run periodic checks on ChatGPT, Claude, and Perplexity for references to your brand or competitors.
- Track Referral Traffic: Configure analytics to separate traffic from AI-native platforms like Perplexity and You.com.
- Create Answer-Friendly Content: Publish clear, concise, factual material that AI models can cite directly in their responses.
These actions don’t require reinventing SEO. They reinforce fundamentals that allow AI systems to view your business as credible and trustworthy.
SEO Optimizers is making a strong statement with its AI SEO services. The company is betting that visibility in Google AI Overviews and LLM-generated responses will soon rival traditional organic rankings in value. Their technical methodology—combining analytics, automated audits, and human review—provides structure where most businesses are still guessing. For brands, the best move is not to chase fads but to double down on fundamentals while tracking how AI engines handle their content. The businesses that do this well will continue to be found, whether the query comes from a human typing into Google or a customer asking ChatGPT.