SEO & AI Success Story

From Invisible to #3: How SaaS Link Builder Built AI Visibility in 6 Months

A real-world breakdown of how a new SaaS brand went from zero AI mentions to the 3rd most cited in their category — and the exact four-step framework behind it.

Why we curate this: SEO and AI search visibility are evolving fast, leaving many growth teams guessing. Uprankly curates real-world breakdowns from public sources to show what actually produces results — not theory.

1. The Result at a Glance

Starting point: Essentially zero AI visibility — saaslinkbuilder.com was not appearing in AI-generated answers in their category as of April 2025.
Outcome: 3rd most mentioned brand in their category across AI search engines.
Timeframe: Under 6 months.
Core insight: AI visibility is a positioning and distribution problem, not just an SEO problem. You have to control what AI "hears" about you from your own assets, then validate it through enough third-party sources that AI treats your brand as a credible category member. Google's own guidance on creating helpful, people-first content reinforces the same principle — consistent, authoritative signals across sources build the trust ranking systems reward.

2. Step-by-Step Execution: What They Did

1. Nailed positioning before touching tactics

Before building a single link, Bartkus clarified what AI tools should say about SaaS Link Builder: specific answers to what they do, who it's best for, and their unique differentiators against 10+ year old incumbents. AI synthesizes what it finds across your website, articles, review profiles, and social content. Vague positioning yields vague mentions. This is the entity disambiguation principle that Search Engine Land's analysis of Google's Knowledge Graph breaks down in detail.

2. Aligned every owned asset

Homepage, product pages, LinkedIn, Twitter/X profiles — all updated to reflect identical descriptions. AI models build brand understanding by parsing consistent signals across owned touchpoints. When your homepage, LinkedIn page, and product description all use the same specific language about your category and audience, AI has a consistent signal to latch onto. When those sources contradict each other, the signal degrades. Google's SEO starter guide on structured site identity covers why consistent entity descriptions across your properties matter for discoverability.

3. Pushed owned pages up in Google SERPs

LLMs frequently cite pages that already rank in traditional Google search. Strong SERP rankings act as a credibility proxy that AI models use when selecting sources to pull into generated answers. Getting your own pages to rank for core category terms increases the probability that those pages get pulled into AI-generated answers. Search Engine Journal's guide to mastering SERP analysis explains the mechanics behind identifying and capturing these ranking positions.

4. Built contextually accurate third-party mentions

Listicle inclusions, Reddit threads, and industry articles were secured with consistent positioning language. Not just a link or a name-drop: a contextual mention that confirms what they do, who they serve, and why they belong in the category. Third-party mentions serve as the "market agreement" layer proving brand authority to AI crawlers. This is the mechanism behind what Search Engine Land describes as Google's Information Gain scoring — unique, corroborated brand signals outperform generic link volume.

3. What NOT to Do: Pitfalls & Common Mistakes

Skipping positioning for quick link building. Securing early mentions without locked positioning spreads fragmented signals that are difficult to correct later. AI synthesizes what it finds — if early mentions describe you vaguely or incorrectly, those descriptions become part of how AI understands your brand.
Chasing backlinks instead of contextual mentions. A naked backlink offers little value to an LLM reading for context — who you are, what category you serve, and why you fit. AI engines are reading for context, not counting links. Search Engine Land's guide to optimizing anchor text explains why the words surrounding a link matter more than the link itself.
Treating GEO as a one-off campaign. AI models re-index web sources regularly. Brand visibility thins out without sustained mention distribution. One burst of listicle placements isn't enough — it needs to be an ongoing program.
Ignoring community discussions. Dismissing Reddit or forum threads misses high-weight sources that LLMs frequently scrape for real-time RAG answers. A well-placed Reddit comment recommending your tool in a relevant community thread is often worth more for AI citation than a guest post on a mid-tier blog.
Treating AI visibility as purely an off-site problem. Many teams start chasing third-party mentions without fixing their own site first. If your homepage, product pages, and social profiles don't all tell the same story, the external mentions you earn land on a broken foundation.

4. How to Implement This Strategy (And How Uprankly Helps)

Step 1: Define your AI positioning brief

Draft a 2-3 sentence brief capturing your category, ICP, primary use case, and core differentiators. This brief becomes the reference document every asset and every outreach piece gets checked against.

How Uprankly helps: Use Link Planner's competitor gap analysis to map existing category messaging and identify positioning white space.

Step 2: Audit and align owned assets

Update headlines, bios, and directory listings (G2, Capterra) to match your positioning brief verbatim. Prioritize pages that are indexed and crawled — your homepage and key product pages matter most, followed by social profiles, then secondary directories.

How Uprankly helps: Link Planner's high-authority page reports highlight which pages on your domain currently attract links, showing which core URLs to optimize first.

Step 3: Target Google rankings for category terms

Optimize target landing pages and acquire authority links to maintain page-one visibility for key terms. A page ranking on page one for your category query is far more likely to be cited by AI than one sitting on page three.

How Uprankly helps: Use Link Planner's competitor backlink analysis to extract authority domains sending competitors ranking power. That gap list becomes your outreach target list for Link Builder's targeted outreach campaigns.

Step 4: Acquire listicle and review placements

Pitch editors of high-ranking "best [category] tools" articles using your exact positioning brief language. Do the same for review aggregators — G2, Capterra, Product Hunt — keep profiles current with accurate pricing, screenshots, and feature descriptions.

How Uprankly helps: Search Link Builder's database of 70,000+ vetted sites to filter listicles by niche, obtain editor contacts, and run targeted outreach.

Step 5: Engage in community discussions

Participate in niche subreddits and forums, recommending your product with contextually relevant positioning. These mentions get scraped. They show up in AI training data and in real-time RAG retrieval systems.

How Uprankly helps: Log community mentions alongside formal links within Link Builder's brand distribution tracker to monitor total brand signal across web sources.

Step 6: Monitor and defend your brand signal

Track mention retention to prevent signal decay from deleted links or updated listicles. A listicle that drops you in an update, a Reddit thread that gets deleted — these chip away at the signal you've been building.

How Uprankly helps: Link Monitor's real-time backlink tracking watches links and mentions around the clock, sending immediate alerts for lost placements to trigger recovery outreach.

5. Uprankly Breakdown: Why This Strategy Worked

Search & AI Mechanics

LLMs like ChatGPT and Perplexity construct answers by evaluating cross-source consistency via Retrieval-Augmented Generation (RAG). By standardizing positioning across owned and earned media, Bartkus created a high-confidence entity association. LLMs require corroboration, not just link volume, to cite a brand confidently. Google's documentation on how structured data helps search understand entities explains the same principle from the traditional search side — consistent, machine-readable signals build trust. Six months of disciplined, positioning-aligned mention-building was enough to move from invisible to third in category.

Strategic Value Over Traditional SEO

Traditional link building prioritizes PageRank and domain authority. While effective for Google SERPs, Generative Engine Optimization (GEO) requires validating market consensus. Consistent third-party brand mentions tell AI systems that the industry agrees with your category claim. The fastest path to AI visibility isn't more links — it's more consistent, contextually accurate mentions across the sources AI already trusts. See how a different B2B SaaS team applied a complementary approach — pruning thin content to lift domain-wide quality — in our curated Octolens content pruning case study.

Source & Original Discussion

This case study is compiled from a LinkedIn post by Mykolas Bartkus, Founder of SaaS Link Builder (saaslinkbuilder.com), published August 2025. Read the original discussion on LinkedIn.