We ask the AI engines 8 real "best [service] in [city]" prompts and report whether your business is named - your AI Visibility Score, who's beating you, and exactly what to fix.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) - sometimes called AI SEO or LLM SEO - is the practice of optimizing your business so that large language models like ChatGPT, Google Gemini, Perplexity, and Claude name you when users ask "best [service] in [city]" style questions. Unlike classic SEO, where you compete for blue links on Google, GEO is about getting cited inside the AI's answer itself.
A 2025 BrightEdge study found that over 60% of consumers now ask ChatGPT or Gemini for local recommendations before opening Google Maps. If your business isn't named in those answers, you're invisible to a fast-growing slice of high-intent buyers - and most local businesses have zero visibility today.
How our free AI Visibility Audit works
Auto-prompt generation. We use Gemini to write 8 realistic local-search prompts a real customer would type - mixing "best", "top-rated", "near me", "emergency", and price-conscious variants - all anchored to your city.
Multi-engine querying. Each prompt is sent to Google Gemini 2.5 and OpenAI GPT-5 in parallel. That's 16 live AI queries per audit.
Mention detection & ranking. We parse every response for your business name, score the position you appear in (1st = 10 pts, missing = 0 pts), and surface the competitors AI is recommending instead.
AI Visibility Score (0-100). A weighted score across all 16 responses tells you exactly how often - and how prominently - LLMs cite your business today.
Personalized fix plan. We translate the gaps into a prioritized checklist: schema upgrades, FAQ content, citation gaps, and the comparison content most likely to move your score.
Why local businesses can't ignore AI search anymore
ChatGPT now has over 700M weekly users and ships built-in shopping and local recommendations.
Google AI Overviews appear above organic results for roughly half of local-intent queries.
Perplexity is the default search engine on millions of new devices and explicitly cites the businesses it names.
LLMs cluster around 3-5 dominant local brands per category - once a competitor is "the answer", winning that slot back takes months.
Unlike Google, AI engines don't have a public dashboard. The only way to know if you're being cited is to actually ask them - which is exactly what this audit does.
What moves your AI Visibility Score
Based on hundreds of audits we've run for local service businesses, the highest-impact GEO levers are:
Comparison & "best of" pages on your own site that name competitors and explain trade-offs honestly.
LocalBusiness, Service, and FAQPage JSON-LD schema on every service or location page.
An llms.txt file giving AI crawlers a clean, prioritized site brief.
Third-party citations in sources LLMs trust: Reddit threads, Quora answers, niche directories, local news, and YouTube transcripts.
Consistent NAP (name, address, phone) across your site, Google Business Profile, and the top 10 directories - LLMs deduplicate inconsistent entities and may drop you entirely.
A high-quality, mobile-fast website - AI crawlers downrank slow or broken pages just like Google does.
Frequently asked questions
Is the AI Visibility Audit really free?
Yes. Your AI Visibility Score, per-engine breakdown, and competitor leaderboard are 100% free with no signup. The detailed fix plan and per-prompt breakdown are unlocked with your email - no credit card.
How long does the audit take?
Usually 30-90 seconds. We run all 16 LLM queries in parallel as a background job, and cache prior answers for 7 days, so reruns of the same business finish in seconds.
Which AI engines do you query?
Google Gemini 2.5 Flash and OpenAI GPT-5 mini. Together they cover the dominant share of generative search traffic. We're adding Perplexity and Claude next.
Why doesn't ChatGPT mention my business even though I rank well on Google?
Classic SEO and GEO are different games. LLMs were trained on a snapshot of the web plus selected partner sources - they lean heavily on Reddit, Quora, comparison articles, and structured data, not on raw Google rankings. A site that's #1 on Google can still be invisible to ChatGPT if it has no FAQ schema, no third-party mentions, and no Q&A content.
How often should I re-run the audit?
Monthly is the sweet spot. AI engines update their training data continuously, and competitor moves (a new Reddit thread, a piece of local press) can flip the answer overnight. Tracking month-over-month is how you prove GEO ROI.
Will fixing the recommendations actually move the needle?
Yes - we've seen businesses go from "never cited" to "first-named" in under 90 days by combining FAQ schema, a comparison page, and 2-3 well-placed Reddit/Quora citations. The fix plan ranks recommendations by expected impact.