How Tetheree Earned 82 Monthly AI Engine Citations and 5× More Enterprise Demo Requests with React + GEO
A GEO-first strategy for an AI workflow automation platform that had the product but no digital authority. OVEXBEE built a lightning-fast React site, deployed llms.txt, and structured passage-level content that now earns 82 monthly LLM citations and drives consistent enterprise inbounds.
Measurable Results
Client Background & Challenge
Tetheree builds AI-powered workflow automation and data intelligence for healthcare, finance, logistics, and government sectors. With proven ROI (3× average for clients) and 10+ years experience, they had the credibility — but a slow, poorly structured website meant enterprise buyers found competitors first.
The AI automation space is dominated by ServiceNow, UiPath, and Microsoft Power Automate with massive SEO budgets. Tetheree needed to win on specificity — healthcare AI workflow, government process automation — niches where the giants had weak content coverage. Additionally, with AI-powered procurement research now mainstream, zero GEO presence meant Tetheree was invisible in ChatGPT and Gemini recommendations.
- ✕Lighthouse score of 51 — poor Core Web Vitals killing both rankings and first impressions with enterprise buyers
- ✕No GEO signals — zero llms.txt, no passage-level content structured for LLM retrieval
- ✕Generic landing page copy — no vertical-specific pages for healthcare, finance, government, or logistics
- ✕No AEO structure — zero FAQ or HowTo schema despite answering complex enterprise workflow questions
- ✕Domain Authority of 12 — no published content, no backlinks from the AI or enterprise software ecosystem
Our Strategy & Execution Plan
- Rebuilt the site in React with Next.js SSR — Lighthouse score from 51 to 99, TTFB under 90ms globally.
- Deployed llms.txt with full entity mapping: company, products, vertical specialisations, and key differentiators.
- Structured every page with LLM-readable passage blocks — short, citable, factual paragraphs formatted for AI retrieval.
- Created 6 vertical landing pages (healthcare, finance, logistics, government, construction, education) each with 1,500+ words.
- Built 24 FAQ pages targeting enterprise AI workflow questions with FAQPage + HowTo schema.
- Wrote 3× ROI case study content formatted for both human decision-makers and LLM knowledge extraction.
- Placed thought-leadership articles on VentureBeat, TechRepublic, and Government Technology — each site indexed by AI training crawlers.
- Monitored and tested ChatGPT, Gemini, and Perplexity prompts — iterated passage structure based on citation patterns.
- Built an E-E-A-T signal stack: team expertise pages, LinkedIn thought leadership, Wikipedia entity mention.
Verified Google Keyword Ranking Movement
| Target Keyword | Search Volume | Start Position | Final Rank | Result |
|---|---|---|---|---|
| ai workflow automation healthcare | 1,900/mo | #Unranked | #1 | Top 3 |
| government process automation ai | 1,200/mo | #Unranked | #2 | Top 3 |
| enterprise ai data integration platform | 2,400/mo | #Unranked | #3 | Top 3 |
| ai reduce manual data entry enterprise | 880/mo | #Unranked | #1 | Top 3 |
| intelligent workflow automation saas | 1,600/mo | #Unranked | #2 | Top 3 |
| ai automation roi calculator enterprise | 590/mo | #Unranked | #1 | Top 3 |
"OVEXBEE understood something our previous agency did not — in the AI era, being cited by ChatGPT is as valuable as ranking on Google. Their GEO strategy put Tetheree in the conversation with enterprise buyers before they even visit our website."
- CEO, TethereeReady to Replicate These Results?
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