A B2B engineering firm with real expertise had almost no search presence.

Not “underperforming.” Almost invisible.

This is the story of how a combined technical SEO and GEO campaign changed that  and what it reveals about how specialized, technical industries can compete in a search landscape now dominated by AI-generated answers.

By February 2026, AI Overviews appeared on approximately 48% of all tracked queries. For a niche B2B firm, that’s not a distant trend  it’s the environment they’re competing in right now. ALM Corp

This illustration demonstrates the integration of traditional SEO with AI-driven search results, symbolizing the evolution of search and the impact of GEO.

The Client

An engineering sector company with genuine technical expertise  but a website that wasn’t reflecting it in search.

This is a common pattern in specialized B2B fields. The expertise exists. The website doesn’t communicate it in a way search engines, or increasingly AI systems, can understand and trust.

The client engaged Dexora to fix that  not with a quick keyword push, but with a structural overhaul covering technical health, content depth, and visibility inside the new generation of AI-driven search results.

The Challenge: Five Compounding Problems

No single issue was the whole story. Five separate problems were compounding each other.

1. Limited Organic Visibility

Despite offering advanced engineering solutions, the site had minimal search visibility. Niche technical keywords weren’t ranking. Many industry-relevant queries returned nothing from this site at all  meaning organic traffic was a fraction of what the expertise level should have generated.

2. Technical SEO Issues

A full audit revealed the foundation was weak. Slow load times. Poor Core Web Vitals. Mobile usability gaps. Crawl and indexing inefficiencies throughout the site.

This is foundational  as covered in our guide on why technical SEO is the foundation of long-term success, none of the other fixes matter much if search engines can’t efficiently access and render the site in the first place.

3. Content Gaps and On-Page Optimization

Existing content wasn’t aligned with target keywords or search intent. Product and service pages lacked depth and semantic coverage. Meta titles and descriptions were outdated, generic, and not compelling.

The highly technical nature of the work wasn’t being translated into content that signaled relevance to search engines  the expertise existed, but it wasn’t legible to the algorithms deciding what to show.

4. Backlink Quality Concerns

The site had accumulated low-quality backlinks over time, with no authoritative links from industry-relevant sources. This created both a penalty risk and a domain authority gap against competitors.

5. The Emerging AI Search Paradigm

With Google and Bing integrating AI-generated summaries directly into search results, a new opportunity existed  and the client’s content wasn’t structured to take advantage of it.

For a firm built on technical authority and thought leadership, being absent from AI-generated answers meant missing the exact audience most likely to value that expertise.

The Strategy: Technical Foundation First, GEO Throughout

The plan addressed immediate visibility problems while building toward long-term positioning in both traditional and AI-driven search.

Priority 1: Fix the Technical Foundation

Before anything else, remove the barriers to crawling, indexing, and fast performance. AI Overviews cite organic results that are already ranking  a site that search engines can’t efficiently crawl has no path into either traditional rankings or AI citations. SeaRanks

A solid technical foundation amplifies everything built on top of it. Without it, content improvements and link building both underperform.

Priority 2: Content Enrichment and Semantic SEO

Rather than chasing a handful of exact-match keywords, the strategy covered entire topic areas within the engineering field  building the kind of topical depth that signals real authority.

This is semantic SEO in practice: comprehensive coverage of a subject, not isolated optimization of individual phrases. The same depth that improves traditional rankings also makes content far more suitable for AI-generated summaries looking for complete answers.

Priority 3: Schema and Structure for AI Visibility

Structured data  FAQ schema, HowTo schema, Product schema where relevant  combined with clear content formatting makes information digestible to both search crawlers and generative AI systems.

Well-structured, schema-enhanced content directly increases the likelihood of being pulled into AI-generated answers. AI Overviews favor structured, extractable content  this isn’t a minor formatting preference, it’s a citation prerequisite. SeaRanks

Priority 4: Authority Building

Cleaning up the backlink profile and pursuing high-quality, industry-relevant links  guest posts on engineering publications, listings in reputable directories, press coverage of innovations.

Google My Business enhancements and review generation were also part of this, supporting credibility signals that extend beyond pure search rankings.

Priority 5: Generative Search Optimization Throughout

This wasn’t a separate phase  it was baked into every other priority. The constant question: “How can this content be more likely to get picked as an answer source by AI?”

Natural language Q&A formats. Up-to-date facts and statistics. Clear headings that map to real questions. The goal was making the client’s site a reference point for AI-driven results like SGE and Bing Chat  not as an afterthought, but as a parallel objective alongside traditional rankings.

The Execution: What Actually Got Done

Technical SEO Audit and Fixes

A full technical audit covered site architecture, crawlability, and performance.

What got fixed:

• Page load speed  image optimization, compression, browser caching
• Broken links and XML sitemap errors
• Mobile-friendliness issues
• Duplicate content and indexing problems, resolved through meta robots tag updates and canonical URLs

These fixes serve both traditional and AI-driven search simultaneously  faster, more accessible sites are favored by both search algorithms and AI engines selecting citation sources.

Metadata Rewriting

Every important page got a refreshed meta title and description  keyword-rich, compelling, and accurately reflecting each page’s actual content and value proposition.

This improves click-through rates from search results, but it also gives search engines and AI summarizers clearer context about what each page actually offers. Relevant engineering terms and pain points were worked into titles to immediately signal relevance for the queries that mattered.

Content Optimization and Semantic Keywords

On-page content across the site was updated and expanded  incorporating target keywords alongside semantically related terms and synonyms, naturally.

Example of how this worked in practice:

A page about industrial HVAC design would also cover related concepts  energy efficiency, regulatory standards, maintenance considerations  building topical depth that signals genuine expertise rather than narrow keyword targeting.

This semantic optimization helps search engines understand context and quality. It also makes content more likely to be recognized as high-quality by AI systems evaluating it for citation.

Content was also restructured with clear headings, bullet points, and concise paragraphs  formatting that makes it easier for generative AI to extract key information cleanly.

New Content Publishing and Internal Linking

To fill content gaps, new pieces were developed  blog articles, technical guides, and case studies relevant to the client’s engineering niche.

Each piece served dual purposes. For SEO: built around strategic keywords, designed to serve real user intent  informational articles answering common engineering questions. For GEO: structured in Q&A or how-to formats, anticipating the kind of content an AI might quote directly.

All new content was woven into the site’s internal linking structure  contextual links from new articles to service pages, and back again. This internal linking boosts overall topical authority and helps crawlers discover content efficiently, following the same topic cluster principles that underpin semantic SEO.

Schema Markup Enhancements

Structured data was implemented across relevant sections:

• FAQPage schema on Q&A sections of new content
• Product schema for product pages
• Organization schema on the homepage and contact pages

This provides explicit signals to search engines about content type and structure  distinguishing a product’s features, marking up service FAQs clearly. Beyond improving eligibility for rich results on Google, it feeds better-structured data to AI engines parsing the content.

All schema was validated through Google’s Rich Results Test to ensure error-free integration. This kind of technical schema audit is standard across every Dexora engagement.

Backlink Audit and Off-Page SEO

The existing backlink profile was audited using professional SEO tools, identifying toxic or irrelevant links. A set of spammy links was disavowed to remove negative ranking impact.

In parallel, a focused outreach effort began: guest posting on engineering industry blogs, securing listings in reputable industry directories, and pursuing press coverage of the client’s innovations.

Quality backlinks improve rankings directly  and they signal to algorithms, and indirectly to AI models referencing authoritative sources, that the site is trustworthy. This is the relevance-first approach behind our off-page SEO services.

Competitor Keyword Analysis

Competitors  both direct industry rivals and content competitors like engineering journals and Q&A platforms  were analyzed to find keywords they ranked for that the client didn’t.

This surfaced numerous long-tail opportunities. If a competitor ranked for a specific technical term and the client had relevant expertise but no content addressing it, that became a content target.

The team also studied what content was appearing in Google’s AI-generated snapshots for engineering queries  easy-to-read explanations, step lists, clear structures  and refined content creation to match those patterns.

Google My Business Optimization

Since the client also served local and regional customers, their Google Business Profile got attention too. NAP (Name, Address, Phone) consistency was ensured across the web, the business description was updated with relevant keywords, and regular updates were posted.

Review generation was encouraged from satisfied customers. An optimized profile improves local rankings and bolsters overall credibility  credibility that can indirectly affect how content gets perceived by both search engines and AI systems that may factor in reputation signals.

Indexing and Monitoring

As changes rolled out, getting them indexed quickly mattered. Updated sitemaps were submitted to Google Search Console and Bing Webmaster Tools whenever new pages went live, with Bing’s IndexNow API used to instantly notify search engines of fresh content.

Ongoing monitoring tracked organic clicks, impressions, average position, and crawling/indexing rates through Google Analytics and Search Console. When specific keywords weren’t moving as expected, on-page elements were adjusted or additional internal links were added  an iterative process rather than a set-and-forget campaign.

GEO for AI Search Results

Throughout the campaign, content was fine-tuned for citation potential:

• Concise, direct answers to common questions  formatted to be quotable
• Bullet lists and step-by-step instructions for how-to topics
• A neutral, informative tone an AI system would treat as trustworthy
• Up-to-date facts and statistics  accuracy as a prerequisite for citation

The goal: when someone asks an AI search tool a question relevant to this industry, the client’s site has a meaningfully higher chance of being the cited source  treating AI chatbots and overview modules as an additional audience alongside human searchers.

The Results

Metric	Result
Organic visibility index	+10.84%
Average keyword ranking improvement	+39 positions
Keywords with positive ranking movement	284+
Organic traffic and lead inquiries	Significant increase
Rich results / “People also ask” appearances	New, multiple pages

Organic Visibility: +10.84%

The site’s overall visibility index  measuring how often and prominently it appears across relevant search results  increased by 10.84%. For a firm that previously struggled to gain traction online at all, this represented a clear, measurable expansion of search presence.

Average Keyword Ranking: +39 Positions

Across tracked keywords, average ranking position improved by more than 39 positions. In practical terms, many keywords that were sitting on page 5 or 6 of Google moved to page 1 or 2  the difference between effectively invisible and actually clickable, since the overwhelming majority of clicks happen on page one.

284+ Keywords Improved

Positive ranking movement occurred across more than 284 keywords relevant to the client’s business. Many industry terms the site previously didn’t rank for at all entered the top 100  and many existing rankings climbed substantially higher.

This breadth reflects the semantic content expansion strategy directly. The site became visible for a far wider range of queries than the original, narrow keyword targeting ever could have produced.

Traffic, Engagement, and Lead Quality

Better rankings and broader visibility translated into a meaningful increase in organic traffic. The client reported organic lead inquiries rising in tandem  meaning the new visibility was attracting a genuinely relevant audience, not just traffic volume.

Engagement metrics improved too  visitors spent more time on updated pages, suggesting the content optimizations worked for real readers as well as algorithms.

Rich Results and AI-Readiness

The combination of schema implementation and content depth earned the client rich snippets on Google  including appearances in “People also ask” boxes for relevant queries.

Beyond the immediate wins, the site is now structurally positioned for what comes next. As AI Overviews continue expanding their share of search results, the client’s content carries the structural signals  schema, semantic depth, direct-answer formatting  that those systems favor when selecting citations.

Why This Worked: The Compounding Effect

No single tactic here was unusual on its own. Technical fixes, content expansion, schema markup, backlink cleanup  these are all individually well-understood SEO practices.

What made the difference was how they reinforced each other.

Technical fixes amplified the impact of content changes  content that ranks doesn’t matter if it can’t be crawled efficiently. Better content made link outreach easier  nobody links to thin pages. Schema served both SEO and AI goals simultaneously, rather than being treated as two separate workstreams.

This is the core argument for GEO and traditional SEO as one integrated strategy, not two competing budget lines. The 284+ keyword improvements didn’t come from a single silver bullet  they came from removing every barrier at once, so each improvement could actually take effect.

What This Means for Other Technical and B2B Industries

Engineering is a useful case study precisely because it’s a hard category  niche audiences, highly technical subject matter, limited existing brand recognition in search.

If a structural GEO and technical SEO approach can produce 284+ keyword improvements and a 39-position average ranking gain in a field this specialized, the same approach applies even more readily to less niche industries.

The pattern holds regardless of sector: real expertise exists, but it isn’t structured in a way search engines and AI systems can read and trust. Fixing the structure  not adding more content for its own sake  is what unlocks the visibility that expertise deserves.

This is exactly the kind of work covered in our guides on how AI and LLMs are changing SEO and how to rank in AI search engines  the same principles, applied to a real, measurable engagement.

Conclusion

This campaign illustrates the impact a well-rounded GEO and technical SEO strategy can have, even in a specialized B2B field with complex topics and a niche audience.

By addressing technical deficiencies, building genuine semantic depth, implementing schema consistently, and treating AI systems as a real audience throughout  not as an afterthought  the campaign delivered organic visibility growth of 10.84%, an average ranking improvement of 39+ positions, and positive movement across 284+ keywords.

Crucially, the GEO integration means this content isn’t just more visible in traditional search today. It’s structurally positioned for an environment where nearly half of all search queries now surface an AI-generated answer first  and growing.

The partnership transformed an underperforming technical website into an authoritative, high-visibility resource  proof that even the most specialized B2B fields can achieve sustainable SEO success with the right combination of technical excellence, content depth, and AI-era awareness.

Is Your Site Ready for AI-First Search?

GEO isn’t the future. It’s the current state of search.

Every day a site isn’t structured for AI-generated answers is a day competitors have the opportunity to claim that visibility instead.

Whether the starting point looks like this engineering client’s  technically weak, content gaps, no AI visibility  or something less severe, the same integrated approach applies: fix the foundation, build real topical depth, structure for citation, and build authority that compounds.

From Core Web Vitals to GEO-ready content  Dexora delivers results that compound over time.

Get your free SEO + GEO audit today

Contact us at [email protected]

Or book a consultation