The shift to an AI-driven web can feel overwhelming, a cascade of new demands on already stretched resources. But preparing for it is a logical, phased process, not an everything-at-once panic. Here’s a practical roadmap to guide your efforts.
For any communications leader staring at the new landscape of AI-driven search, the most pressing question isn’t “what is happening?” but “where on earth do we start?”
With limited time, budgets and team capacity, the idea of simultaneously revamping your website, launching a thought leadership program and monitoring industry forums can seem impossible.
The good news is that you don’t have to.
Effective Generative Engine Optimization (GEO) is not a chaotic scramble; it is a disciplined, sequential process. It’s like constructing a building: you must pour the foundation before you can build the walls, and you build the walls before you can add the intricate details to the roof. By tackling the work in logical phases, you ensure that each effort builds upon a solid and stable base, maximizing its impact.
Here is a practical, three-phase roadmap to building your GEO strategy from the ground up.
Phase one: foundation and discovery
GEO auditing
Before writing a single new word of content, effective GEO starts with ensuring your existing digital house is in order. This initial phase establishes baseline visibility and confirms that the technical infrastructure exists for AI engines to “read” your brand.
The process begins with a comprehensive visibility audit. Start by developing a set of 10 to 15 queries that reflect genuine buyer intent, focusing on the specific questions ideal customers ask when researching solutions, comparing suppliers or validating technical decisions.
These questions are then tested directly inside generative AI platforms, such as ChatGPT, Claude or Google Gemini, not traditional search engines. Each query is run individually and the responses analyzed to understand how AI systems currently perceive the market.
For each query, an audit could assess:
• Whether your organization is mentioned at all
• Which competitors are referenced
• What sources the AI system is drawing from (e.g. trade media, manufacturers’ websites, research reports)
• How your brand is positioned when mentioned (industry leader, niche specialist, commodity supplier, or not present)
This simple audit reveals your current “share of voice” and identifies immediate gaps where competitors may be dominating the conversation. In many cases, organizations discover that while their website ranks well in traditional search, they are effectively invisible in generative responses or only appear indirectly via third-party sources.
The output of the audit is, therefore, not necessarily a score, but a set of priorities highlighting:
• Which high-value questions you are absent from
• Which competitors are shaping the narrative
• Where authority is being assigned to external publications rather than your own content
These findings directly inform what needs to be fixed first — whether that is technical accessibility, stronger owned content or increased visibility through trusted third-party media.
Ensuring AI bots aren’t blocked
Simultaneously, it is critical to verify your robots.txt file. This is a simple text file stored at the root of your website (e.g. www.yourcompany.com/robots.txt) that tells automated bots which parts of your site they are allowed to access. In practice, verification means opening this file directly in a browser or reviewing it with your web team to confirm that AI crawlers such as GPTBot, ClaudeBot and Googlebot are not unintentionally blocked. These blocks are often legacy settings introduced for older SEO strategies or security controls and are frequently left in place by accident. If these bots are blocked, AI systems cannot read or reference your content at all, resulting in zero visibility in AI responses regardless of content quality.
Labelling content so AI can read it
Finally, speaking the language of AI requires structured data, also known as Schema. Schema is a layer of behind-the-scenes code added to a website that tells machines, such as search engines or AI engines, exactly what a piece of content is, not just what it says. While these machines can read the text on a page, they cannot reliably determine intent, role or authority in the way a human can. Schema removes that ambiguity by explicitly labelling content, so AI does not have to guess whether a page represents a company, and FAQ page, a published article, or a step-by-step guide.
In practice, Schema will be implemented by your web developer, usually at a template or CMS level, and then maintained as content is updated. From a GEO perspective, organizations should prioritize the four Schema types below because they align most closely with how AI systems select and reuse information.
• Organization Schema: Defines your company as a real, authoritative entity. It clearly states who you are, what your official name is and which website represents the definitive source for your brand. This reduces confusion and helps AI systems consistently attribute information to the correct organization.
• FAQPage Schema: Explicitly marks approved questions and answers. This allows AI engines to extract clear, authoritative responses directly from your website, rather than paraphrasing or sourcing answers from competitors.
• Article Schema: Signals that content is a deliberately published editorial piece, not generic web copy. It provides information about authorship, publication date and ownership, all factors AI systems use when assessing credibility and freshness.
• How To Schema: Labels structured, step-by-step guidance. This makes it significantly easier for AI systems to understand, summarize and reuse procedural or technical content accurately.
Schema does not change how your website looks or reads for human audiences. Its sole purpose is to reduce uncertainty for machines, making it easier for AI systems to recognize, trust and reference your organization as a credible source.
Phase two: content authority and external signals
Once the foundation is set, the second phase focuses on amplifying your authority through comprehensive topic coverage and external validation.
Building authoritative owned content
To build the topical authority that AI systems recognize, the strategy shifts to a “hub-and-spoke” model with the content on your website. This involves creating a comprehensive pillar page covering a core topic supported by multiple cluster pages that dive deeply into specific subtopics that you wish to be known for and will answer your target audiences’ queries.
For instance, a pillar page might cover a broad subject like “Industrial Air Compression Systems,” while cluster pages address specific nuances such as maintenance schedules or energy efficiency optimization. This structure serves a strategic objective by creating semantic density and relationship clarity AI systems require to confidently cite an organization as a subject matter expert. For industrial brands, it also mirrors how engineers, specifiers and procurement teams actually research.
Earning coverage from trusted media
Beyond your own website, earning citations in external authoritative sources is critical. According to the PRSA, more than 95% of links cited by AI are from non‑paid sources, and roughly 85% of those are earned media (news, journalistic coverage etc.). This elevates PR from a brand awareness activity to a direct performance driver. Well-placed technically accurate coverage in trusted trade and business publications now directly influences whether AI systems recognize a brand as credible and citable.
Companies can target the types of domains AI systems already trust, such as industry and trade publications with established editorial standards. Additionally, publishing original research, benchmark reports, or industry surveys encourages trade publications to cite your work as a primary data source, generating valuable entity mentions. Decades of experience in media relations, editorial rigor and journalist trust therefore become a competitive advantage in the AI era.
Phase three: optimization and measurement
The final phase implements systematic measurement to turn GEO from a one-time project into an ongoing process. Because organic traffic and click-through rates no longer tell the whole story, organizations must establish new metrics that capture presence within generated responses. Companies should focus on:
• Citation frequency: How often is your brand cited as a source?
• Brand mention rate: What percentage of relevant queries mention your brand?
• Share of voice: How often are you mentioned compared to competitors?
• Position and prominence: When cited, do you appear early or late in the response?
• Sentiment: Are you positioned as an industry leader or a budget alternative?
Measurement alone is not enough. These insights should feed back into a continuous GEO audit cycle: regularly run your priority queries, compare results over time, identify gaps where competitors are cited instead of you, and adjust your content, Schema or external visibility strategies accordingly.
SE10: Your partner in strategic execution
This phased approach turns a daunting challenge into a manageable, long-term strategic plan. At SE10, we don’t just identify the challenges; we partner with you to execute the plan.
We can help you conduct a GEO Readiness Audit to determine where you are today and then build a practical, prioritized roadmap. We can work with you and your web team to get the technical foundations right. Where our true unique strength really comes in is as the content specialists who design and build authoritative content hubs, and strategic PR partners who secure high-quality media coverage that AI systems trust.
Effective strategy is about a disciplined focus on doing the right things in the right order. To discuss how a prioritized GEO plan can fit your specific resources and goals, contact our team today.
Zack Shen
Account Executive
About the author
Zack is an account executive at SE10’s U.S. office. He graduated with a master’s degree in integrated marketing communications from Northwestern University’s Medill School and joined SE10 to launch his career as a PR professional. Zack supports clients with their PR campaigns, focusing on both content creation and digital/social media strategies. He maintains a keen interest in the latest digital marketing technology and social media trends.
