One place to understand your brand’s visibility across AI search, track competitors, see the sources influencing answers, and measure how that changes over time.
most marketing teams still don’t have a clear view of what ChatGPT, Gemini, Perplexity or Google AI are actually saying about them
Before you invest in GEO, know where your brand stands today.
Run your brand through our GEO report today: https://citehq.ai/geo-report/
I realized that merely being discoverable is no longer enough; brands must measure how reliably AI systems surface, recommend, and cite them.
Decision: I will adopt a dedicated AI‑visibility platform (Cite AI) instead of relying solely on classic SEO tools.
- Data Capture: instrument AI interaction points (LLM chat logs, generative search results) to record brand surfacing, recommendation, citation.
Decision: I will focus development on AI‑driven answer generation rather than pure keyword ranking.
Being discoverable isn’t enough anymore.
Brands need to understand how reliably they’re being surfaced, recommended and cited by AI.
Cite AI brings that visibility into focus.
- Attribution Layer: tag brand mentions with canonical URLs or semantic IDs.
- Analytics Dashboard: aggregate counts, sentiment, placement context.
- Benchmarking: compare AI visibility metrics against traditional SEO KPIs.
I observed that the industry is moving from a simple keyword‑ranking mindset to a model where a brand is considered in an answer generated by AI. This shift means that search relevance is now judged by how well a brand fits the whole user intent rather than by matching isolated terms.
Decision: I will focus development on AI‑driven answer generation rather than pure keyword ranking.
Method: Deploy LLM pipelines that ingest the full query context, score brands against the parsed intent, and insert the top‑scoring brands into the answer shortlist.
I am building a product called Cite AI (hosted at citehq.ai) to give marketers a consolidated view of how AI search engines like ChatGPT, Gemini, Perplexity and Google AI talk about their brand, which competitors appear in those answers, and which external sources shape the responses. It also tracks how these signals change over time.
Decision: Build a dedicated platform (Cite AI) rather than rely on existing analytics tools.
The platform will aggregate responses from major conversational AI models, parse brand and competitor mentions, capture cited sources, and store everything in a time‑series database for trend analysis.
Method: Aggregate AI model answers, extract brand/competitor mentions, identify source documents, and persist them for temporal analysis.
As a first step to encourage adoption, I am offering a free GEO report that lets brand owners see their current position before investing in geographic expansion.
Access: Users can run their brand through the GEO report at https://citehq.ai/geo-report/.