INDUSTRY
SaaS & Software
ONGOING STRATEGIES
SEO | Generative Engine Optimization (GEO) | OmniSEO
BUSINESS TECHNOLOGIES
Additional Support From
PPC | Email Marketing
Let’s build your next growth system
We work with leadership teams to pressure-test growth strategies before misalignment shows up in pipeline, trust, or revenue.
How a SaaS Brand Won Attention Beyond Traditional SEO
As AI-driven search experiences reshaped how users discover software brands, they faced a critical inflection point. Traditional organic clicks were declining, replaced by zero-click answers, AI summaries, and conversational search results.
Instead of chasing shrinking SERP, the focus shifted to a bigger opportunity: owning visibility wherever buying decisions now begin—AI assistants, generative answers, and research-driven discovery paths.
The goal wasn’t rankings.
It was presence, authority, and demand capture across AI-led search environments.
The Challenge
Organic traffic plateauing despite strong historical SEO performance
Brand mentions appearing inconsistently in AI-generated answers
Limited visibility into how AI platforms referenced or surfaced the brand
Growing concern about long-term discoverability as user behavior shifted
The problem wasn’t relevance.
It was distribution in an AI-first discovery landscape.
The Strategy
We implemented an AI-aware search visibility framework designed to extend the brand beyond traditional search engines and into the platforms shaping modern decision-making.
This approach focused on:
Tracking brand presence across AI-generated responses
Strengthening topical authority through earned placements and content alignment
Rebuilding content and technical foundations for both humans and large language models
The objective: become the most referencable brand in the category—by humans and machines alike.
What Changed After Engagement
- Stronger brand visibility across AI platforms and traditional search
- Clear attribution signals for AI-assisted discovery paths
- Greater confidence navigating search volatility and algorithm shifts
- A future-ready search strategy built for how users actually research software today
What truly stood out wasn’t just execution, but the systems and visibility built around every part of the engagement: strategy, communication, and performance tracking. It gave us confidence in navigating how search is evolving, not reacting to it.
— Marketing Manager
About The Client
The client is a growth-stage SaaS company building mission-critical software for mid-market and enterprise organizations. Their platform supports complex operational workflows where accuracy, compliance, and decision confidence matter.
Headquartered in a global innovation hub, the company serves customers across North America and international markets, competing in a crowded category where trust, visibility, and category authority directly influence revenue.
Their challenge wasn’t product-market fit—it was staying discoverable as the rules of search evolved.
Authority building through strategic brand placements
Long before AI-generated answers became mainstream, brand authority was treated as a compounding asset.
Over time, the brand earned 30+ high-relevance placements across industry publications aligned with:
Grant management
Business operations
Enterprise software workflows
These placements strengthened domain authority, reinforced topical relevance, and positioned the brand as a credible reference point for AI systems trained on trusted sources.
Content Rebuilt for AI-Led Questions
As zero-click searches increased, existing content was re-evaluated through a new lens:
Would an AI engine confidently cite this page?
Key actions included:
Mapping existing pages to common AI-generated answers
Refreshing content to improve clarity, structure, and citation-worthiness
Conducting intent audits to realign pages with how users now ask questions
Publishing expert-led content that mirrors conversational AI queries
Creating capability pages to reinforce features referenced externally
Expanding long-form guides and competitor comparisons to capture research-stage demand
Updating “Who We Serve” pages to strengthen bottom-of-funnel relevance
The result: content designed not just to rank—but to be referenced.
Technical SEO
Technical SEO remained a non-negotiable layer—especially as AI crawlers and LLMs increasingly rely on clean, structured signals.
Focus areas included:
Thematic internal linking to reinforce topical clusters
Conversion-focused on-page improvements (TOCs, CTA placement, layout clarity)
Homepage personalization by industry segment
Scalable title tag optimization for tighter query alignment
Preparing LLMs.txt files to guide AI crawler access and attribution
This ensured the brand was machine-readable, reference-ready, and conversion-optimized.
