AI Visibility Audit
A 6-step review of crawler access, answer-readiness, entity signals and current citations across 6 AI engines.
- Prompt-level citation baseline
- robots.txt and llms.txt report
- Prioritised fix plan
AI search optimization studio · led by Bikash Roy
AI Search Optimization that gets your brand cited
Grow AI Search is a generative engine optimization (GEO) studio. It audits, fixes and measures how Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot see your brand. Pages are rebuilt so AI engines retrieve them, trust them and cite them by name. Every method is tested in public on this site before it reaches a client.
- 6 AI engines covered
- Free crawler checker
- Experiments published openly
Illustration · the outcome we optimize for
how do I get my brand into ChatGPT answers?
AI answer
First, confirm AI crawlers can reach your pages1. Then publish passages that answer one question directly and state facts with numbers2. Engines lift the passage that answers the question most directly, and cite the page it came from3.
- 1 developers.openai.com — OpenAI crawlers overview
- 2 arxiv.org — GEO: Generative Engine Optimization
- 3 yourbrand.com — your page, cited by name
AI engines covered
Optimizing for
Services
Four services, one goal: be the source AI answers quote
Each service starts from measurement. You see which prompts cite you today, which competitors win instead, and what changes after each fix.
GEO Strategy & Content
A topical map and content plan built for passage-level retrieval, entity clarity and answer-first writing.
- Entity–attribute topical map
- Semantic content briefs
- Internal link plan
AI Visibility Tracking
A fixed prompt set, re-run on a schedule, reporting mention rate, citation rate and share of model per engine.
- Tracked prompt library
- Competitor share of model
- AI referral traffic in GA4
Platform Optimization
Engine-specific work for AI Overviews and AI Mode, ChatGPT search and Perplexity, where source selection differs.
- Query fan-out coverage
- Bing and IndexNow setup
- Per-engine citation gaps
Process
How an engagement runs, in 4 steps
The same order every time, because each step depends on the one before it.
Audit
Measure which prompts cite you, which cite competitors, and what blocks AI crawlers today.
Fix
Open crawler access, repair structured data, and rewrite key passages to answer first.
Publish
Ship a topical content network in one launch bundle, not a slow drip of posts.
Measure
Re-run the prompt set, report citation changes per engine, and refresh pages every 6 months.
Tested in public
Experiments, not opinions
This site is its own test subject. Each experiment publishes its hypothesis, setup, dates and raw data, including the results that disappoint.
Can a brand-new domain get cited by AI engines in 90 days?
growaisearch.com launched on day 0 with zero links. A fixed set of 50 prompts is checked weekly across 6 engines.
Follow the log →Do statistics and quotations raise citation rate?
A replication of the tactics tested in the 2023 GEO paper by Aggarwal et al., on live pages instead of a benchmark.
Read the setup →Does llms.txt change how AI crawlers behave?
Server logs from before and after publishing llms.txt, split by user agent, over 60 days.
Read the setup →
Free tools
Check your site in 30 seconds
AI Crawler Checker
Paste your robots.txt and see which of 16 AI crawlers — GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended and more — can fetch any path.
Run the checker →llms.txt Generator
Build a valid llms.txt file from your key pages: title, summary and a curated link list in the format proposed on 3 September 2024.
Generate a file →
Knowledge base
How AI search works, explained from first principles
How AI search engines work
Query understanding, fan-out, retrieval, reranking, grounded generation and citation.
AI crawlers and access control
GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, robots.txt and llms.txt.
How AI engines pick citations
Retrievability, passage relevance, authority, freshness and entity recognition.
Content AI engines quote
Why original facts and first-hand data earn citations.
Measuring AI visibility
Share of model, prompt tracking, AI referrals and Search Console data.
Every AI search engine, compared
Index source, crawler, citation style and referral tracking per engine.
Who does the work
Run by Bikash Roy, not an account manager
Every audit, strategy and experiment on this site is led by Bikash personally — an SEO specialist and web developer since 2019, founder of the agency GrowNion, and partner at KC AI SEO and Kansas City Web Design Pros.
- 2019in SEO and web development
- 3agencies founded or partnered
- 5+sites grown
Questions before you book
What is AI search optimization?
AI search optimization is the practice of making a brand's pages retrievable, trustworthy and quotable for AI answer engines such as Google AI Overviews, ChatGPT and Perplexity. It is also called generative engine optimization (GEO). The goal is citation and mention inside the answer, not only a ranking.
How is it different from SEO?
SEO earns a position in a list of links; AI search optimization earns a place inside the answer. Both depend on crawlable, well-structured pages. AI engines add passage-level selection, query fan-out and brand-mention signals, so the audit and the measurement differ.
Which AI engines do you cover?
Six engines are tracked in every engagement: Google AI Overviews, Google AI Mode, ChatGPT search, Perplexity, Gemini and Microsoft Copilot. Claude and other assistants are added when your buyers use them.
What do I receive from an audit?
You receive three deliverables: a citation baseline for your priority prompts, a crawler and robots.txt report for 16 AI user agents, and a fix plan ordered by impact and effort.
Start with a baseline
Find out where AI engines cite you today
Send your domain and 10 prompts your buyers ask. The audit shows who AI engines cite instead of you, and why.