From Invisible to Indexed: How GEO Optimisation Lifted SiteSignal in AI Search
Project: SiteSignal
Website: sitesignal.app
Industry: SaaS, Website Monitoring
Service: GEO Optimisation and LLM Visibility Improvements
SiteSignal is our own in-house SaaS product. We used our GEO framework to fix the brand’s online signals and improve its visibility across AI search tools like ChatGPT, Gemini, Perplexity and Claude.
The Challenge
Before GEO optimisation, SiteSignal struggled with digital and AI recognition.
It faced four core issues:
- AI tools did not mention the brand at all.
- Key brand details across the web were wrong or missing.
- SiteSignal’s own Brand Radar showed the domain as not found.
- There were no citations or indexing signs in any LLM.
The product was solid, but AI search systems could not understand the brand, the category or the domain connection.
When We Started the Optimisation
We began by running a complete GEO and LLM baseline scan using SiteSignal.
This showed gaps in:
- structured data
- consistency
- branded content
- AI understanding
- domain authority
Our GEO Strategy
Phase 1: Brand Foundation
- Corrected brand data across directories.
- Claimed and verified the domain across Google and AI search indexes.
- Added structured data including schema and metadata.
- Confirmed NAP consistency across all public profiles.
- Created new SEO focused pages.
- Used SiteSignal to track daily changes in LLM perception.
Phase 2: Competitor Optimisation
- Identified 38 direct competitors through LLM competitor mapping.
- Expanded keyword targeting.
- Improved meta coverage based on competitor gaps.
- Published content in formats that AI systems can parse more clearly.
- Started a backlink and domain authority growth plan.
Phase 3: Continuous GEO Growth
- Published monthly AI friendly blog content.
- Maintained social media signals for ongoing crawling.
- Added LLM specific optimisation tasks for ChatGPT, Gemini and Perplexity.
- Monitored mentions and ranking movements daily.
The Transformation
After running the GEO program, SiteSignal’s presence changed significantly
Results Overview
| Metric | Before GEO | After GEO |
| Total Competitors Detected | 38 | 50 |
| Domain Position | Not Found | 4 |
| LLM Providers Detecting Brand | 3 | 4 |
| Indexed in AI Search | No | Yes |
| Visibility in AI Answers | None | Ranked and cited |
How We Measured Success
We tracked performance using SiteSignal’s Brand Radar and visibility modules:
- competitor ranking shifts
- LLM indexing improvements
- branded and non branded citations
- domain recognition accuracy
- visibility trends across ChatGPT, Gemini, Claude and Perplexity
We also ran prompt tests to confirm AI citation quality.
Impact Summary
- SiteSignal is now recognised by major AI models.
- AI tools correctly connect the brand to the domain.
- SEO and LLM content began indexing in less than three months.
- Competitive landscape widened, improving benchmarking accuracy.
- The domain gained a top 5 visibility position among AI recognised brands.
Tools and Technologies Used
- SiteSignal for LLM visibility, GEO analytics and competitor mapping
- Google Search Console and GA4
- Schema.org structured data
- SurferSEO and NeuronWriter for content optimisation
Conclusion
SiteSignal moved from being completely invisible in AI search to earning consistent citations and stable visibility across LLMs. This case study demonstrates how GEO and LLM optimisation work together to build long-term trust and authority in both Google and AI powered search systems.
