Stock Unlock : AI Visibility Report

How ChatGPT, Gemini, and Claude see Stock Unlock — across the positioning vectors the company wants to be known for, and against the competitors that steal the narrative.

Compare engines
Visibility is engine-specific. Pick one to see its perspective.
Positioning vs competitors
Each positioning is tested with five intent modifiers per competitor (head-to-head, pricing, alternatives, etc.). Pick a competitor to see how the AI responds to each variation.
Report type
Choose how to explore the data. Each view highlights a different dimension of your AI visibility.
Positioning
Queries The searches the AI ran internally before writing its answer.
Rankings How many times your domain appeared in the AI's own search results. The more it sees your pages, the more likely it is to use them.
Citations How many of your pages the AI explicitly cited in its answer. This means your content is actively shaping what it tells users.
Mention Whether the AI names your brand in its response — the most direct signal that it's recommending you.
Answer · positioning used

I’m looking for a stock discovery platform that helps me pick stocks based on fundamentals and isn’t expensive.

0
0
No

I’m looking for an affordable investment portfolio tracking platform that I can connect with my broker and that will help me find good stocks to invest in.

0
0
No

I’m looking for a free stock platform that will help me start investing and teach me how to pick good stocks for the long-term.

0
0
No
VSV
Prepared by Versus Vector
Comparison-content strategy for B2B SaaS · vsvector.co

Methodology. For each positioning vector we issue the core "need" query to the engine, then fan out via five intent modifiers scoped to a selected competitor. We record: Rank (client's domain surfaces in the queries the LLM issues), Cite (client pages cited in the answer), Mention (brand named, binary). Drift classifies whether the answer's positioning matches the client's intended narrative.