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ChatGPT Ads & AI Search Audit
For forward-thinking brands positioning for generative AI search and conversational ads. Audits brand knowledge graph visibility, LLM citation share, and prompt-based commercial intent capture.
Thanks. Your answers are in.
We review every response and reply with a written diagnostic within 2 working days.
What happens next.
Read
Our senior strategists read every single answer. No automated bots or fake scores.
Audit
We produce a written audit identifying leakages, ad waste, and growth upside within 2 working days.
Priorities
We map out the exact first 3 tests or sprint actions we would execute and why.
Call
If there is mutual commercial fit, we review the findings live on a 30-minute growth roadmap call.
The complete discovery questions and why each matters.
We believe in complete transparency. Below is the full set of diagnostic questions our agency uses when auditing commercial growth. Use this as an internal team checklist or submit above for our written audit.
How clearly is your brand defined as an entity in Google Knowledge Graph and Wikipedia/Wikidata?
Why this matters: LLM answer engines rely on established entity consensus to recommend brands in conversational queries.
Which of your competitors are currently recommended by ChatGPT and Perplexity for commercial intent queries?
Why this matters: Reverse-engineering competitor citations reveals the exact third-party directories, PR articles, and review platforms training the LLMs.
Do you publish technical documentation, pricing guides, and case studies in clean crawlable markdown?
Why this matters: AI web scrapers (GPTBot, PerplexityBot, ClaudeBot) prioritize clean, authoritative markdown without heavy JavaScript rendering overhead.
What is your review presence on trusted aggregator platforms (G2, Capterra, Clutch, Google Business)?
Why this matters: AI engines aggregate consensus from trusted third-party review platforms to validate recommendations.
What is your primary commercial offer when conversational ad formats launch across AI engines?
Why this matters: Conversational ads require direct, solution-first messaging answering specific user problem prompts.
Does your website implement comprehensive Schema.org FAQPage and Service structured data?
Why this matters: Direct Q&A schema provides structured answer nodes that AI search engines extract for AI Overviews and chat citations.
What proprietary data, research, or client results does your company own that AI cannot hallucinate?
Why this matters: Unique, original proprietary data is heavily cited by generative engines seeking authoritative source citations.
What publications and industry journals currently link to your domain?
Why this matters: High-authority industry citations signal trustworthiness to RAG (Retrieval-Augmented Generation) search pipelines.
Are there any hallucinated or outdated claims about your business floating in LLM outputs?
Why this matters: Identifying and correcting outdated pricing or discontinued services in public web citations restores brand accuracy.
What are your top 5 high-intent commercial prompts you want your brand to win?
Why this matters: Focuses content optimization on the queries that drive high-ticket revenue rather than broad vanity searches.
Questions, answered first
What is a ChatGPT Ads & AI Search audit?
A forward-looking diagnostic analyzing your brand's presence across generative AI answer engines and preparing your commercial assets for conversational ad placements.
What is llms.txt and why is it important?
llms.txt is an emerging web standard providing clean, markdown-formatted summaries of your website specifically structured for LLM web crawlers and AI search engines.
What happens after submitting this questionnaire?
Our AEO and AI search specialists run live prompt tests across ChatGPT, Perplexity, and Claude, delivering a written citation audit within 2 working days.