Generative Engine Optimization (GEO) Campaign Delivers SEO Success for Engineering Client

Introduction

Search behavior is evolving rapidly with the rise of AI-powered search results. Users are increasingly getting direct, summarized answers from tools like Google’s Search Generative Experience (SGE) and Bing Chat, rather than a list of traditional link This shift has given rise to Generative Engine Optimization (GEO) – the practice of optimizing content to enhance its visibility in AI-driven search results. In essence, GEO focuses on ensuring a brand’s content is selected and cited by generative AI answers, much as SEO aims to rank content highly on a search engine results page. Our client, an engineering sector company, engaged our SEO agency to improve their organic search performance. We formulated a comprehensive campaign blending GEO techniques with proven technical SEO strategies to boost their organic visibility, rankings, and traffic in this new search landscape.

Figure: SEO visibility trend during the GEO campaign, showing a steady upward trajectory. The campaign resulted in a +10.84% increase in the client’s organic visibility index. This upward trend illustrates the impact of the GEO-driven strategy, translating into a stronger search presence for the client. For a B2B engineering firm that previously struggled to gain traction online, such visibility growth was a clear indicator of the campaign’s success.

Challenge

The client faced a number of challenges that hindered their organic performance in the competitive engineering domain:

• Limited Organic Visibility: Despite offering advanced engineering solutions, the website had low search visibility. Niche technical keywords weren’t ranking well, and the site wasn’t appearing for many industry-related search queries, resulting in minimal organic traffic.
• Technical SEO Issues: A thorough audit revealed technical shortcomings. The site had slow load times and suboptimal Core Web Vitals metrics, was not fully mobile-friendly, and had several crawl and indexing inefficiencies. These issues negatively affected search engine crawling and user experience, undermining rankings.
• Content Gaps and On-Page Optimization: Much of the existing content was not aligned with target keywords or user intent. Product and service pages lacked sufficient depth and semantic keywords, and meta titles/descriptions were outdated or not compelling. The highly technical nature of the content was not effectively communicated in an SEO-friendly way, limiting relevance signals to search engines.
• Backlink Quality Concerns: The site had accumulated some low-quality backlinks over time, and lacked authoritative links from industry-related sources. This not only posed a potential risk of search penalties but also meant the site’s domain authority was not as strong as top competitors.
• Emerging AI Search Paradigm: With Google and Bing integrating AI summaries in search results, there was a new challenge – and opportunity – to have the client’s content featured in those generative answers. The client’s content was not structured or prominent enough to be picked up by these AI-driven results, an area especially pertinent to a cutting-edge engineering firm keen on thought leadership.

In summary, the client needed to improve the technical health of their site, enrich and expand their content strategy, and adapt to the emerging generative AI search environment – all without the benefit of an established brand name in search results.

Strategy

We developed a holistic SEO strategy that combined rigorous technical optimization with forward-looking GEO tactics. The plan was designed to address the immediate issues while also positioning the client for long-term growth in both traditional and AI-driven search. Key strategic priorities included:

• Technical Foundation: First, fix the fundamentals. We prioritized a comprehensive technical SEO overhaul to remove any barriers to crawling, indexing, and fast performance. This ensured that search engines (and AI models leveraging search index data) could access and understand the site’s content efficiently. A solid technical foundation would amplify all other optimizations.
• Content Enrichment and Semantic SEO: We aimed to revamp the site’s content with a focus on quality, relevance, and semantic keyword coverage. Rather than chasing just a few exact-match keywords, the strategy was to cover entire topic areas in the engineering field to signal authority. By building more topical depth and meaning into the content, we help search algorithms better understand and trust the pages. This semantic SEO approach would not only improve traditional rankings but also make the content more suitable for AI summaries seeking comprehensive answers.
• Schema and Structure for AI Visibility: To align with GEO best practices, we planned to implement structured data and clear content formatting. Using appropriate schema markup (for example, FAQ schema, HowTo, Product schema where relevant) would make the site’s information more digestible to both search engine crawlers and generative AI systems. Well-structured, schema-enhanced content increases the likelihood of being utilized in AI-generated answers.
• Authority Building: The strategy also emphasized improving the site’s authority and trust signals. This included cleaning up the backlink profile and pursuing high-quality backlinks in the engineering niche (such as industry publications or relevant directories). We also identified opportunities to bolster the company’s online presence through Google My Business enhancements and encouraging positive reviews, which is vital for an engineering firm’s credibility.
• Generative Search Optimization: Uniquely, we baked GEO considerations into every step. This meant constantly asking: “How can we make this content more likely to be picked as an answer source by AI?” From using natural language Q&A formats on key pages to ensuring the content had up-to-date facts and clear headings, the strategy was to make the client’s site a go-to reference for AI-driven search results like SGE and Bing Chat. By doing so, we future-proof the SEO efforts, so the client benefits not just on the search engine result page, but also within the answers that these new AI search tools generate.

Our strategy was comprehensive, targeting improvements in every area – technical performance, content quality, on-page optimization, off-page signals, and AI-era visibility – to deliver a robust increase in organic search presence for the client.

Execution

Executing this strategy involved a wide range of activities. Our team worked systematically through technical fixes, content improvements, and GEO-specific enhancements. The full scope of work included:

• Technical SEO Audit & Fixes: We performed an in-depth technical audit, covering site architecture, crawlability, and performance. Key issues addressed were improving page load speed (optimizing images, enabling compression, and leveraging browser caching), fixing broken links and XML sitemap errors, and ensuring mobile-friendliness. We resolved duplicate content and indexing issues (by updating meta robots tags and using canonical URLs where appropriate) to make sure all important pages could be indexed and ranked. These steps aligned with GEO fundamentals too – faster, more accessible sites are favored by both traditional search algorithms and AI engines.
• Metadata Rewriting: Every important page received a refresh of its meta title and description. We crafted keyword-rich, compelling titles and descriptions that better reflected each page’s content and value proposition. This not only helps improve click-through rates from the SERPs, but also provides clearer context to search engines and AI summarizers about the page. For example, we included relevant engineering terms and pain points in titles to immediately signal relevance for those queries.
• Content Optimization & Semantic Keywords: We updated and expanded on-page content across the site. This involved incorporating target keywords as well as semantically related terms and synonyms naturally within the copy. By doing so, we built greater topical depth – for instance, a page about “industrial HVAC design” might also mention related concepts like energy efficiency, regulatory standards, and maintenance, covering the subject holistically. Such semantic optimization helps Google and Bing understand the content’s context and quality, making it more likely to rank and to be seen as high-quality by A. We also ensured content had clear headings, bullet points, and concise paragraphs, which make it easier for generative AI to extract key information.
• New Content Publishing & Internal Linking: To fill content gaps, we developed new pieces (blog articles, technical guides, and case studies relevant to the client’s engineering niche). Each new content piece was created with both SEO and GEO in mind. For SEO, they were built around strategic keywords and designed to serve user intent (informational articles answering common engineering questions, etc.). For GEO, we structured some articles in a Q&A or how-to format, anticipating the kind of snippets an AI might quote. All new content was integrated into the site’s internal linking structure – we added contextual links from these articles to the client’s service pages and vice versa. This internal linking boosts the overall authority of the site on those topics and helps search crawlers discover content efficiently.
• Schema Markup Enhancements: We implemented structured data on relevant sections of the site. This included adding FAQPage schema to the Q&A sections of the new content, Product schema for the client’s product pages, and Organization schema on the homepage and contact pages. The schema markup provides explicit clues to search engines about the content (for example, distinguishing an engineering solution’s features, or marking up FAQs about a service). This not only can improve eligibility for rich results in Google, but also feeds better data to AI engines that use structured data to comprehend content. The site’s code was validated through Google’s Rich Results Test to ensure error-free schema integration.
• Backlink Audit & Off-Page SEO: We audited the client’s backlink profile using professional SEO tools, identifying toxic or irrelevant links. We disavowed a set of spammy links to eliminate any negative impact on rankings. Concurrently, we launched a small-scale outreach effort to build high-quality backlinks: we approached engineering industry blogs for guest posting, got the client listed in reputable industry directories, and worked on getting some press releases published about the client’s innovations. Quality backlinks not only improve rankings but signal to algorithms (and indirectly to AI models referencing authoritative sources) that the site is a trusted authority.
• Competitor Keyword Analysis: We analyzed competitors (both direct industry competitors and content competitors like engineering journals or Q&A sites) to find which keywords they ranked for that our client did not. This revealed numerous long-tail keyword opportunities and content ideas. For example, if a competitor ranked for “CAD automation best practices” and our client had relevant expertise but no content on it, we would create content to target that topic. We also studied the competitor content that was appearing in Google’s SGE snapshots for engineering queries. By understanding what content the AI was favoring (e.g., easy-to-read explanations, list of steps, etc.), we refined our content creation approach to better match those patterns.
• Google My Business (GMB) Optimization: Since the client also served local and regional customers, we optimized their Google Business Profile. We ensured NAP (Name, Address, Phone) consistency across the web, updated the business description with relevant keywords, and regularly posted updates/announcements on the GMB profile. We encouraged the client to gather reviews from happy customers. An optimized GMB not only improves local SEO rankings (important for an engineering firm targeting certain regions), but also bolsters the company’s overall online credibility. Any increase in brand authority and trust can indirectly benefit how content is perceived by search engines and possibly by AI (which may use location or reputation cues in certain contexts).
• Indexing & Monitoring: As we rolled out these optimizations and new content, we made sure to get them indexed and track the results. We used indexing submission tools – for instance, uploading updated sitemaps to Google Search Console and Bing Webmaster Tools whenever new pages went live, and leveraging Bing’s IndexNow API to instantly inform search engines of fresh content. This proactive indexing meant our changes were reflected in search results faster. We also continuously monitored the site’s performance in Google Analytics and Google Search Console: tracking metrics like organic clicks, impressions, average position, and crawling/indexing rates. Regular monitoring allowed us to iterate – for example, if certain target keywords weren’t moving up as expected, we would adjust on-page elements or add more internal links to boost those pages.
• GEO for AI Search Results: Uniquely, we fine-tuned content for Generative Engine Optimization throughout the campaign. This meant ensuring the client’s content would be attractive for AI-generated answers. We followed emerging best practices for GEO, such as: writing concise answers to common questions in the content (which could be directly quoted by an AI), using structured formats (like bullet lists or step-by-step instructions) for how-to topics, and maintaining a neutral, informative tone that an AI would deem trustworthy. We also kept content up-to-date with factual information and statistics, since accuracy is key for AI citation. The result is that if someone asks a question on Google’s SGE or Bing Chat related to the client’s industry – for example, “How to improve efficiency of [an engineering process]” – our client’s site now has a much higher chance of being referenced in the AI’s answer. In short, we treated AI chatbots and overview modules as additional “audiences” alongside human searchers. GEO techniques ensured the client’s content is optimized for citation in these AI-generated search results, positioning the client as an authoritative source in the eyes of the new generation of search engines.

By executing these steps, we tackled the campaign from all angles. The implementation was intensive, but each activity reinforced the others – technical fixes improved the impact of content changes, better content made link outreach easier, schema helped both SEO and AI goals, and so on. This cohesive approach set the stage for significant improvements, as reflected in the campaign results.

Results

The strategic GEO campaign delivered substantial improvements in the client’s organic performance. Over the course of the campaign, the following key outcomes were achieved:

• Organic Visibility +10.84%: The client’s overall visibility in search (an index measuring how often and prominently the site appears in search results) increased by 10.84%. This indicates a notable expansion of the site’s presence on relevant search queries, as shown by the upward trend in our tracking reports.
• Average Keyword Ranking +39 Positions: Across tracked keywords, the site’s average ranking improved dramatically, by 39+ positions. In practical terms, many target keywords that were previously ranking on page 5 or 6 of Google moved up to page 1 or 2. Such an improvement in average position signifies far greater likelihood of attracting clicks, since users rarely venture beyond the first page of results.
• Rankings Improved for 284 Keywords: We saw positive ranking movements for over 284 keywords relevant to the client’s business. Dozens of important industry terms that the site originally didn’t rank for at all emerged in the top 100 results, and many existing rankings climbed higher. This broad-based improvement reflects the success of the semantic keyword and content expansion strategy – the site is now visible for a much wider array of search queries than before.
• Boost in Organic Traffic and Engagement: As a direct consequence of better rankings and visibility, the website experienced a significant increase in organic traffic. More prospective customers in the engineering and industrial space are now discovering the site via search. In fact, the client reported that organic lead inquiries went up in tandem with the traffic growth, indicating that the improved visibility was attracting a highly relevant audience. Users were also engaging more with the content (spending more time on the updated pages), a sign that the content optimizations not only pleased algorithms but real visitors as well.

Beyond the numbers, the qualitative impact was equally important. The client’s brand is now frequently appearing in search results where it was absent before, helping establish them as a go-to resource in their niche. The inclusion of schema and high-quality content has even earned the client rich snippets on Google (for example, some pages are now featured in the “People also ask” Q&A boxes). Moreover, the site is well-prepared for the future – as AI-generated search answers become more prevalent, our client’s content is optimized to be part of those answers.

Conclusion

This case study showcases the strategic impact a well-rounded GEO and technical SEO campaign can have for an engineering industry client. By addressing technical deficiencies, enriching content with semantic and schema optimizations, and embracing generative engine optimization techniques, the campaign achieved significant gains in organic visibility, rankings, and traffic. The engineering sector, often dealing with complex topics and niche audiences, benefited greatly from this holistic approach – proving that even in specialized B2B fields, there is tremendous value in investing in SEO innovation.

Crucially, the integration of GEO strategies ensured the client’s content is not only more visible in traditional search but also primed for inclusion in AI-driven results. In an era when search is as much about being referenced by an answer as it is about ranking for a keyword, this dual approach paid off. The client’s content now has a strong chance to be cited by tools like Google’s SGE or Bing Chat, amplifying their reach beyond the classic search results page.

In summary, the campaign delivered a double benefit: immediate SEO improvements and future-proofing for the evolving search landscape. It underlines how an SEO agency’s proactive adaptation to trends like GEO can translate into tangible success for clients. The partnership with the engineering client has transformed their online presence – turning a once under-performing website into a high-visibility, authoritative resource in organic search. This success story reinforces the idea that with the right mix of technical excellence, content depth, and generative AI awareness, any brand (even in the most technical industries) can achieve sustainable SEO success.

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