Getting cited by ChatGPT, Perplexity, and Google’s AI Overviews doesn’t require an enterprise budget. A handful of free tools can show you how AI models currently see your content and where the gaps are. At Peak Marketing, we’ve been testing this exact stack while building out AI-visibility strategies for clients, and the tools below are the ones that actually earn a spot in the workflow rather than sitting unused after week one.
Start With the Tools That Already Exist in Your Stack
Before adding anything new, check what you already have access to.
Google Search Console tells you which queries are surfacing your pages, including the increasingly common ones that look like something a person typed into ChatGPT first (“best trailer hitch for a dump trailer” rather than “trailer hitch”). Filter by query length and phrasing, and you’ll start noticing which of your pages are already answering conversational, question-based searches. Those are the pages worth strengthening for AI citation.
Ahrefs Webmaster Tools is free for verified site owners and shows backlink data, indexed pages, and site health issues that affect whether a crawler (including AI crawlers like GPTBot and PerplexityBot) can even reach your content in the first place. If a page is blocked or orphaned, no amount of optimization will get it cited.
Test How AI Models Actually Describe Your Business
This is the step most businesses skip, and it’s the most revealing one.
Open ChatGPT, Perplexity, and Google’s AI mode in separate tabs and ask each one a question a potential customer would ask: “who does SEO for small businesses in Idaho” or “best personal injury attorney in Murrieta.” Read what comes back. Note which businesses get named, which sources get cited, and how your own business is described (or whether it shows up at all).
Perplexity is particularly useful here because it shows its source list directly under each answer. If competitors’ pages appear as sources and yours doesn’t, that’s a direct signal about what content format and structure the model is pulling from. Run the same test monthly. Model behavior shifts, and a business that’s invisible in March can show up by June if the underlying content changes.
Structured Data Tools
AI models rely heavily on structured data to understand what a page is actually about, separate from just parsing sentences.
Google’s Rich Results Test checks whether your schema markup is valid and lets you see exactly what a search engine (and by extension, an AI crawler) reads from the page. It’s free, takes about thirty seconds per URL, and catches errors that quietly block a page from qualifying for rich results.
Merkle’s Schema Markup Generator is a free tool for building schema from scratch if you don’t already have a developer handling it. FAQ schema, Article schema, and LocalBusiness schema are the three most relevant types for most service businesses trying to improve AI visibility, since they give models a clean, labeled summary of the page’s content instead of forcing them to infer it.
Content Auditing on a Budget
Screaming Frog SEO Spider is free for the first 500 URLs crawled, which covers most small and mid-sized business sites entirely. It flags thin content, missing headers, duplicate titles, and pages with no clear question-and-answer structure. AI models tend to favor pages with a direct answer near the top and a logical heading hierarchy underneath, so a crawl audit that surfaces pages missing that structure gives you a prioritized list of what to fix first.
AnswerThePublic has a limited free tier that generates question-based search phrases around a seed keyword. Since AI answer engines are fundamentally answering questions, not matching keywords, this tool is worth revisiting even if you’ve used it before for traditional SEO. The question phrasing it surfaces maps closely to how people actually prompt AI assistants.
Putting It Together Without Overcomplicating It
None of these tools require a subscription to start. The realistic workflow looks like this: pull query data from Search Console, test how AI models currently answer questions in your space, check schema validity on your top pages, and run a Screaming Frog crawl to catch structural gaps. Do that once, fix what surfaces, then repeat the AI query test in a month to see if anything changed.
The businesses that show up in AI-generated answers right now aren’t necessarily the ones with the biggest budgets. They tend to be the ones whose content directly answers a specific question, in plain language, with clean underlying structure. Free tools can get you most of the way toward figuring out where you currently stand and what to fix.
If auditing all of this on top of running a business sounds like more than you have time for, Peak Marketing builds AI-visibility work directly into ongoing SEO strategy, so the testing and fixing happen without it landing on your plate.
