If your brand isn’t optimized for generative search, you risk being invisible in AI-generated answers. GEO helps your business stay discoverable in the evolving search landscape by making your content AI-friendly, structured, and contextually relevant to user intent.

We use advanced AI-enriched platforms, including HubSpot’s AEO Grader. We also use premium versions of many generative engines. These tools help us track AI mentions, identify content gaps, and build structured data that improves visibility across both traditional and generative search engines.

Structured data helps AI understand your brand’s identity, offerings, and relationships within your industry. By implementing schema markup and building knowledge graphs, we make your content machine-readable, increasing the likelihood of being cited in AI-generated responses.

AI-optimized content goes a step beyond traditional SEO. It’s not only written to rank on Google but also structured so that generative engines like ChatGPT, Perplexity, or Gemini can trust, cite, and include it when delivering answers.

Here’s how we approach it:
Understand your audience. We look at the real questions your customers ask and the intent behind them.
Build credibility. Content is aligned with Google’s EEAT principles: Experience, Expertise, Authoritativeness, and Trustworthiness, so it stands out as reliable.
Use data wisely. Tools such as Semrush and Ahrefs help us spot opportunities and gaps, but every piece is shaped by subject expertise, examples, and your brand’s voice.
The result is content that feels useful and trustworthy to readers, while also earning visibility in both search results and AI-generated summaries.

Tracking mentions in generative engines is still evolving. While these platforms don’t provide direct reporting, we use emerging tools such as HubSpot’s AEO Grader to see if and how your brand shows up in AI search results and overviews.

We also supplement this with manual verification, testing relevant queries in ChatGPT, Perplexity, Gemini, and other engines. This confirms whether your content is being cited or referenced. A blended approach like this gives us a realistic view of your visibility across AI platforms and helps us adjust your content strategy to increase future mentions.

Indirectly, yes. GEO optimization and SEO share a lot of common ground. When we optimize content for generative engines, we improve its clarity, depth, and authority — all of which align with what Google and Bing already reward.

That said, GEO itself doesn’t replace traditional SEO. Instead, it strengthens your existing SEO efforts by:
Making content more structured and easier to understand.
Building credibility through EEAT (experience, expertise, authoritativeness, trust).
Filling topical gaps that search engines and AI models both look for.
The outcome: better chances of being cited in AI overviews and stronger visibility in Google and Bing search results.

No. GEO doesn’t replace your current SEO strategy. It enhances and future-proofs it.

Traditional SEO is still essential for ranking on Google and Bing. GEO (Generative Engine Optimization) builds on that foundation by making your content discoverable and citable by AI-powered platforms like ChatGPT, Gemini, Copilot, and Perplexity.

Here’s how they work together:
SEO ensures your site ranks in search results.
GEO ensures your brand shows up in AI-generated answers.
Think of GEO as the next layer of visibility, not a replacement. By integrating both, you maximize your reach across the entire search ecosystem: human-driven queries and AI-driven conversations.