AI SEO & LLMO FOR B2B DEV COMPANY CASE STUDYHow a custom software company reached top-2 AI positions in ChatGPT and AI Overview in 90 days
About the client
This case focuses on a custom software development company (NDA) working across logistics, real estate, and other complex B2B domains.
In late 2025, the company partnered with GrowPad to test AI SEO and LLM optimization for B2B Tech as a new strategic channel: not for short-term lead generation, but to build authority, visibility, and long-term demand.
Project overview
Client: Custom software dev company (NDA)
Region: UK, MENA, Europe
Industry: Logistics, Real Estate, Custom Software
Project duration: Sep – Dec 2025
Overall partnership: Jan 2022 – Ongoing
Project goals
- Test AI and LLM visibility as a strategic channel
- Build authority in selected verticals
- Understand which niches can realistically convert into AI-driven leads
- Prepare a scalable AI strategy for 2026
Starting point
At the start of the project, the company had strong traditional SEO foundations and solid brand credibility in classic search. However, visibility in AI-driven systems was fragmented and inconsistent.
The key question was not “Can we appear in AI answers?” It was “Can AI become a predictable new business channel in the future?”
Before GrowPad
With GrowPad
Want to achieve the same AI & LLMO results for your B2B Tech/SaaS?
What we did
- Challenge 1
- Challenge 2
- Challenge 3
- Challenge 4
Building AI visibility without an existing entity footprint
At the start of the project, the brand had a limited and inconsistent presence in LLM-generated answers. Visibility in AI systems was fragmented, and the company did not exist as a clearly defined entity in LLM knowledge graphs.
Without a recognizable entity, AI systems may occasionally surface content, but they won’t consistently reference a brand or treat it as an authoritative source.
Our solution: Entity-first AI optimization
We focused on building trust signals for LLMs before expecting performance outcomes. This included:
– Optimizing entity signals across owned content
– Expanding brand presence on trusted third-party platforms
– Reinforcing the brand as a real, active company with proven expertise
To support this, we:
– Introduced AI-optimized content templates to standardize how blog articles were structured and interpreted by LLMs
– Placed brand mentions on platforms frequently cited by AI, including Quora, Reddit, and expert comments on relevant articles
– Created and actively developed a dedicated Reddit thread to reinforce ongoing brand activity
– Supported brand inclusion in relevant Wikipedia materials (with links, until later removal) to strengthen entity recognition
These actions formed the foundation that allowed AI systems to recognize and repeatedly reference the B2B Tech brand.
Achieving dominance in AI answers without diluting focus
B2B Tech spans many industries, but AI systems reward specialization. Broad positioning risks spreading authority too thin, resulting in visibility without leadership.
Our solution: Narrow niche focus with AI validation
We deliberately concentrated efforts on Custom Logistics Software Development as the primary niche for LLMO. This focus allowed the brand to:
– Establish clear associations with logistics-specific use cases
– Dominate AI answers consistently across regions
– Build strong citation patterns around service-level pages
By December, logistics-related service pages had become the most frequently cited URLs in AI responses, confirming that the niche selection was commercially and semantically sound.
Secondary visibility in non-priority areas (such as Travel and SaaS) appeared naturally as a side effect of stronger entity signals.
Making content understandable and reusable for LLMs
Content written for humans alone does not automatically work for AI systems. Without a clear structure, LLMs struggle to extract, interpret, and reuse information reliably.
SEO & AI-optimized content structure
We introduced standardized templates for blog articles designed specifically for LLM comprehension. These templates:
– Improved content clarity and hierarchy
– Increased the likelihood of direct citation
– Positioned the website as a reliable knowledge source
This explains why site content began appearing frequently as cited sources in AI-generated answers across platforms.
Expanding AI visibility beyond owned assets
AI systems heavily rely on signals from authoritative third-party platforms. Limiting visibility to owned channels reduces reach and slows authority growth.
Our solution: Listicle-driven visibility expansion
GrowPad used listicles as a strategic LLM visibility tool for B2B Tech by:
– Publishing five listicles per month on third-party platforms
– Conducting outreach to high-ranking listicles and securing placements
– Linking internally to selected listicles from sub-landing pages
This approach:
– Created additional AI entry points
– Reinforced competitive positioning
– Directly contributed to growth in brand mentions
As expected, this worked best as an awareness and authority amplifier, not as a lead-generation tactic.
Key results
After three months of focused LLMO:
“GrowPad helped us put together a clear and practical LLM lead generation strategy. The team focused on structuring our AI visibility work into concrete steps and priorities, rather than high-level theory. Some of the approaches were not obvious to us at first, but turned out to be very useful. We’ve started to see more AI mentions and the first stable inbound leads. While still at an early stage, the progress already shows a clear positive trend.”
— CMO, Custom software development company (NDA)
What to apply
In the current state of LLMs, visibility and citation build trust long before they drive the pipeline. Companies that win AI early focus on being referenced, not on immediate conversions.
LLM behavior reveals which domains a brand is perceived as credible in. Scaling only the niches where AI consistently references the brand prevents wasted effort on authority without commercial upside.
Authority compounds faster when the scope is narrow. Regional testing (such as logistics software in a single market) creates clearer signals for both AI systems and future sales alignment.
AI visibility grows fastest when technical SEO, semantic content, and expert positioning support the same core narrative instead of being optimized in isolation.
Sustainable AI-driven demand requires groundwork: trust, topical leadership, and clear commercial focus. Scaling before these signals mature limits long-term return.
Ready to elevate your inbound marketing strategy?
With GrowPad expertise, you can achieve the same, if not better, results from your SEO, AI, and PR strategies.
Frequently Asked Questions
What does it mean to rank a B2B Tech company in ChatGPT, Perplexity, or AI Overview?
Ranking in AI systems means that your B2B Tech brand is consistently referenced or cited when LLMs generate answers for specific topics. Unlike Google rankings, AI visibility is based on perceived authority, entity recognition, and trust signals rather than backlinks or click-through rates.
For example, in one AI SEO case study, GrowPad helped a custom software company move from lower placements to stable top-1–2 visibility in priority niches across ChatGPT, Perplexity, and AI Overview.
How can a company move from nowhere to the top-3 positions in AI answers?
AI positioning improves when LLMs can clearly associate a brand with a specific niche. This requires GEO/LLMO activities like entity optimization, repeated citations across trusted sources, and content that is structured for reuse by AI systems. Broad business positioning rarely allows for reaching AI mentions for your company.
At GrowPad, we applied this approach for a custom logistics software development company (NDA) by tightening niche focus, strengthening entity signals through third-party placements, and standardizing AI-optimized content structure across priority pages.
The result was 7–8× growth in brand mentions across LLMs, stable top-1–2 positions in priority prompts, and clear authority leadership in logistics software, with a defined path from AI visibility → niche validation → future revenue. In this B2B tech LLMO case study, those compounding signals mattered more than “AI traffic” in the first phase.
Why did AI visibility grow faster than AI-traffic leads?
AI systems are designed to surface credible answers, not to route users into sales funnels. In practice, this means AI visibility builds authority and trust first, while lead generation requires additional signals such as regional intent, commercial framing, and alignment with sales touchpoints.
In GrowPad’s recent work with a custom logistics software development company, AI visibility scaled quickly - stable top positions, frequent citations, and strong brand recall in LLMs - while leads remained limited in the first phase. This confirmed that AI was functioning as an authority layer, not a performance channel, and that monetization requires a deliberate second step.
What metrics matter most for AI SEO and LLM optimization?
At early stages, the most reliable indicators of AI and LLM performance are authority and recognition metrics. These typically include:
- Consistency of brand mentions across AI platforms
- Citation frequency and source attribution
- Stability of positioning across similar prompts
- Dominance within a defined niche
Traffic and conversions become relevant later, not during authority formation. For example, when GrowPad ran AI SEO for a logistics software development company (NDA), these metrics showed progress long before revenue was expected. In this B2B tech LLMO case study, brand and domain mentions across LLMs increased 7–8×, and positioning stabilized in top AI responses for priority logistics-related prompts. This confirmed that entity trust was forming - a prerequisite for any future AI-driven lead generation.
How does GrowPad decide which niches to scale first in AI SEO and GEO/LLM optimization?
GrowPad prioritizes niches based on how clearly AI systems can associate a company with specific problems, use cases, and commercial intent.
Instead of assuming all services should be promoted equally, GrowPad tests early AI visibility signals to see where authority forms fastest and where AI responses consistently reference the brand.
This approach helps avoid spreading effort across niches that may gain visibility but lack conversion potential, allowing AI authority to compound where it can later support revenue.
For one logistics software company, this approach revealed that custom logistics software development produced the strongest and most stable AI signals, while broader software development topics lacked the same clarity. That insight shaped the roadmap and prevented effort from being spread across low-return areas.
How does entity optimization influence AI rankings?
Entity optimization helps LLMs understand that a company is real, active, and authoritative. Signals from owned content, listicles, Q&A platforms, forums, and third-party mentions reinforce the brand’s presence in AI knowledge representations. Without entity trust, consistent AI visibility is structurally impossible.
Why are listicles and third-party mentions important for LLM visibility?
LLMs rely heavily on external confirmation when evaluating expertise. Mentions in listicles, industry comparisons, Q&A platforms, and expert discussions act as validation layers that reinforce what AI systems already infer from owned content.
In this AI SEO case study, GrowPad used listicles and third-party placements to expand the brand’s AI footprint beyond its own website. These references contributed directly to the growth in citations and helped secure long-term AI visibility in competitive logistics-related prompts.
In technical niches, relevance builds through precise terminology, scoped use cases, and content that reflects the company's delivery experience. For teams launching a new website today, content should be treated as a primary relevance signal for search engines rather than a volume-driven publishing activity.
What results can AI and LLM optimization deliver for a B2B tech company?
AI and LLM optimization can deliver measurable authority signals within 1–3 months: stable inclusion in AI answers, higher brand mention frequency, and more citations from AI systems when users ask niche-specific questions. These outcomes show that LLMs have started treating the brand as a credible source.
In this B2B tech LLMO case study, GrowPad helped a custom logistics software development company reach top-1–2 positions in ChatGPT, Perplexity, and AI Overview for priority niches, while increasing brand and domain mentions 7–8× (from ~75 to 586 per month). The company also moved from zero presence in ChatGPT to 238 mentions in a month, and its site content began being cited by LLMs as a reference source.
What concrete AI and LLM results were achieved in this B2B tech LLMO case study?
In this case study, GrowPad helped a custom logistics software development company move from fragmented AI visibility to stable authority leadership within three months.
The brand reached top-1–2 positions in ChatGPT, Perplexity, and Google AI Overview for priority logistics-related prompts. Brand and domain mentions across LLMs increased 7–8×, and site content began to be actively cited by AI systems as a source. These outcomes confirmed that the company had become a recognized AI entity in its niche, creating a foundation for future lead-generation experiments.
For IT B2B companies rebuilding their website, this process helps retain useful SEO signals while correcting structural limitations that would otherwise slow down organic growth.
Is GrowPad a good fit for B2B tech companies that want to improve AI and LLM rankings?
GrowPad is a strong fit for B2B tech companies whose services are complex, niche-driven, and difficult for AI systems to interpret without structured signals. This typically includes custom software development firms, SaaS platforms, and technology consultancies where authority, not volume, determines visibility in LLM answers.
GrowPad’s approach focuses on entity formation, niche validation, and AI-ready content systems rather than isolated SEO tactics. In a AI SEO case study for B2B tech, this methodology helped a custom logistics software development company move from inconsistent AI presence to stable top-1–2 positions in ChatGPT, Perplexity, and AI Overview, while increasing brand mentions 7–8× in three months.
Companies that benefit most from GrowPad’s work are those looking to turn AI visibility into a strategic asset, first by building trust and authority in AI systems, and later by aligning that visibility with regions, niches, and revenue goals.
