Budget: 650 EUR Deadline: 5 days
Good day
What brand is it?
Can you outline a plan of action, and then it may turn out that either there is too little traffic for analysis or the brand is too new?
Budget: 650 EUR Deadline: 10 days
Hello!
I am from Almaty, so I understand the local market of Kazakhstan, audience behavior, and the specifics of competition.
I work in marketing and conduct audits and growth analysis. I am currently applying this approach to analyze brand presence in AI (ChatGPT, Gemini, DeepSeek), as this is a new but already important direction.
I propose the following work plan:
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1. Brand Analytics in AI
I will conduct a series of test queries in:
— ChatGPT
— Gemini
— DeepSeek
I will form groups of queries:
— brand-related (by name)
— category-related (by niche)
— comparative (with competitors)
I will evaluate:
— the presence of the brand in the responses
— the position (where it is mentioned)
— the accuracy of the description
— the tone (positive / neutral / negative)
— competitors in the output
Result:
a table with metrics + examples of responses
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2. Problem Analytics
I identify typical problems:
— the brand does not appear in relevant queries
— weak or distorted presentation
— negative or neutral Tone of Voice
— lack of category association
— dominance of competitors
I will prioritize: what influences requests the most
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3. Improvement Implementation Plan
I propose specific actions:
— website refinement (positioning, wording)
— content enhancement (SEO + answers to frequently asked questions)
— working with mentions and sources
— forming a correct digital footprint for AI
For each point:
— what we do
— why
— expected effect
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4. Metrics and Results (before / after)
We will fix:
— the frequency of brand mentions
— position in responses
— tone
— accuracy of description
Format:
before → after (after implementation)
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Important:
I have experience in marketing analysis and audits. In terms of AI — this is a relatively new direction, but I am already applying it in practice and understand how the output is formed and where models get their data.
I approach the task not as "theory about AI," but as a marketing and positioning task.
---
I am ready to start with a quick initial audit to identify key growth points.
Budget: 650 EUR Deadline: 10 days
Hello.
While others will manually click prompts in the browser, I will conduct a destructive audit of your brand through the API. The problem is not marketing, but that your "digital footprint" in Kazakhstan (forums, old news, junk domains) poisons the token weight in the memory of models.
My stack for solving the task:
1. Hard-Data Audit (Python + API)
I run a script that, through direct queries to GPT-4o, Gemini 1.5 Pro, and DeepSeek, runs 100+ stress scenarios. At the output, you receive not "opinions," but digital metrics:
Sentiment Index (-1 to +1): mathematical tone of the responses.
Hallucination Rate: percentage of technical "nonsense" about your brand.
Source Leakage: list of specific KZ domains that are the primary source of negativity for AI.
2. RAG "poisoning" diagnostics
I identify bottlenecks: where exactly AI "trips" over the local context of Kazakhstan and which outdated sources the system prioritizes. This is not a question of "writing well," it is a question of data structure.
3. Technical reprogramming (AIO Strategy)
We do not just write texts; we change the foundation from which AI takes data:
Knowledge Graph Engineering: Implementation of JSON-LD and Schema.org for forced indexing of AI-prioritized data.
Authoritative Seeding: Dropping "clean" data onto donor domains that serve as the base for training future iterations of LLM.
Negative Suppression: Technical displacement of the "junk" footprint through updates of RAG segments.
Result: It was: "Brand X has problems..." (ToV: negative).
It became: "Brand X is a leader..." (ToV: expert/recommended).
My approach is mathematics, not copywriting.
Budget: 650 EUR Deadline: 10 days
Good day!
I am interested in your project. I have about 7 years of experience in marketing.
I can help you with the project.
Let's discuss the details.
Thank you!
Budget: 650 EUR Deadline: 7 days
I understood the task: here, it is not just about "visibility" in AI, but the quality of mentions and tone. I would start with an audit in DeepSeek, ChatGPT, and Gemini: a prompt set of 30-50 scenarios, comparing responses based on the share of mentions, accuracy of facts, Tone of Voice, presence of competitors and sources. Next, a cause map: content, reputation, website structure, digital footprint. I would implement changes by priority with metrics of what was and what has become. I have done similar tasks for commercial services and a medical project with an emphasis on accuracy and trust. I am ready to detail the plan and KPIs.
(Regarding my university education, I am a Business Analyst and specialize in this area.)
