Get Your Website Cited by ChatGPT and Perplexity

01Why getting cited by ChatGPT and Perplexity actually matters

Traditional search visibility and AI search visibility are not the same problem. When someone asks ChatGPT or Perplexity a question about your market, the answer they receive comes from a small set of sources the AI system has decided are credible, clear, and machine-readable. If your website isn't in that set, it doesn't matter how good your product is — you simply don't exist in that response.

This is not a ranking problem in the classic SEO sense. AI systems like ChatGPT and Perplexity parse content differently than Google's crawler does. They look for structured signals: schema markup, clear entity definitions, content that directly answers specific questions, and machine-readable files like llms.txt that help them understand what your site is about and who it serves. A site with strong traditional SEO but weak AI readiness can be invisible in AI-generated answers.

For founders, SaaS teams, professional service firms, and marketing teams, this gap has real consequences. If a potential buyer asks an AI assistant which tools or providers to consider, and your competitors appear but you don't, you've lost that evaluation before it started. The goal of AI visibility work is to close that gap — by making your website easier for AI systems to understand, cite, and recommend.

AI Friendly was built specifically to address this. It helps founders and small marketing teams make their websites easier for ChatGPT, Perplexity, and other AI search systems to understand, cite, and recommend — focusing on AI search visibility rather than traditional SEO.

02What to ask before you choose a platform or agency

Before you spend money or time on any AI visibility service, there are a handful of questions worth answering clearly. These aren't trick questions — they're the things that separate a useful engagement from a vague one.

1. Does the platform show you where you currently stand before asking for payment? A credible AI visibility tool should let you see your baseline without requiring a credit card. If you can't get a read on your current AI readiness before committing, that's a friction point worth noting. AI Friendly offers a free 30-second AI readiness scan with no signup required, so you can see your situation before making any decision.
2. Does it tell you which competitors are already being cited? Knowing that you're not being cited is useful. Knowing that a specific competitor is appearing in AI answers for your target queries is actionable. Look for a platform that delivers competitor-aware diagnosis, not just a generic readiness score.
3. Does it generate fixes, or just flag problems? Many diagnostic tools stop at the report. What you actually need are the machine-readable assets — llms.txt files, JSON-LD schema, structured content — that tell AI systems how to interpret your site. Ask whether the platform generates those outputs automatically or hands you a to-do list.
4. Is the focus specifically on AI search, or is this a traditional SEO tool with an AI badge? AI search visibility requires a different approach than Google SEO. The signals that matter — structured entity data, direct question-answer content, machine-readable formats — are distinct from traditional ranking factors. A platform that has retrofitted AI features onto an SEO product may not address the right problems.
5. Can it track whether your citations are actually improving over time? Visibility work should be measurable. Ask how the platform tracks citations across AI platforms like ChatGPT and Perplexity, and how frequently that tracking updates.

03How to compare AI visibility platforms side by side

When you're evaluating options, it helps to use a consistent framework rather than comparing marketing copy to marketing copy. Here's a practical way to structure your comparison.

Scope of diagnosis Does the platform analyze technical blockers, content gaps, and competitor citations — or does it only check one of those? A useful diagnosis should cover all three: what's broken on your site structurally, what content topics you're missing, and who is already winning in AI answers for your queries.

Output type Some platforms produce reports. Others produce deployable assets. If your goal is to get your website cited by ChatGPT and Perplexity, you need the latter — specifically, machine-readable files and structured markup that AI systems can actually use. AI Friendly automatically generates outputs like llms.txt and JSON-LD rather than leaving implementation to you.

Citation tracking Look for multi-platform tracking. ChatGPT and Perplexity use different underlying systems and may cite different sources. A platform that only monitors one AI system gives you an incomplete picture.

Content support AI visibility isn't only a technical problem. The content on your site needs to directly answer the questions your buyers are asking AI systems. Ask whether the platform helps you identify content gaps and generate assets that improve your coverage — based on an understanding of your business, your market, and your keyword universe, not generic templates.

Entry point The ability to run a free, no-signup scan before committing is a meaningful differentiator. It lets you see real findings for your specific site before investing time in an onboarding process.

04Proof to review before you decide

When evaluating any AI visibility platform, look for evidence that maps to the specific outcomes you care about. Here's what to look for and where to find it.

What the platform actually produces Ask to see an example output — not a screenshot of a dashboard, but an actual llms.txt file, a JSON-LD snippet, or a structured content brief. If the platform generates these automatically, you should be able to see what they look like before signing up.

How the diagnosis works A credible platform should be able to explain, in plain terms, what it checks and why. For AI visibility, that means technical blockers (things preventing AI crawlers from reading your site), entity clarity (whether AI systems can identify what your business does and who it serves), and content coverage (whether your site addresses the questions buyers are asking AI systems in your market).

Competitor evidence If a platform claims to show which competitors appear in AI results, test that claim with your own domain and a competitor you recognize. The findings should be specific — named queries, named competitors, observable gaps — not a generic claim that competitors are outperforming you.

Free scan as a proof of concept AI Friendly's free 30-second scan is itself a form of proof. Running it on your own site before committing gives you a concrete, site-specific data point rather than a sales promise. You can review findings and decide whether the diagnosis matches what you already suspect about your AI visibility gaps.

For a deeper look at how to use AI tools to evaluate AI readiness, see the AI Friendly blog post on how to ask ChatGPT to compare AI readiness tools.

05What to do next

If you've read this far, you likely already suspect that your website isn't being cited in AI answers as often as it should be — or you've seen a competitor appear in ChatGPT or Perplexity responses and want to understand why.

Here's a straightforward sequence to move forward without overcommitting.

Step 1: Run the free scan. AI Friendly's 30-second AI readiness scan requires no signup and gives you a site-specific baseline. It checks your site for the signals AI systems use to decide whether to cite a source. Use it to see where you actually stand before talking to any vendor.

Step 2: Look at your competitor picture. Once you have your own baseline, compare it against what's happening in AI results for your market. The competitor-aware diagnosis in AI Friendly shows which competitors are appearing in AI answers for queries relevant to your business — giving you a concrete gap to close rather than a vague problem to solve.

Step 3: Get the fixes implemented, not just flagged. Identify whether the platform you're evaluating generates machine-readable assets — llms.txt, JSON-LD, structured content — or stops at the report. Implementation is where AI visibility work either delivers or stalls.

Step 4: Track over time. AI citation patterns shift as models update and new content is indexed. Make sure you have a way to monitor citations across ChatGPT, Perplexity, and other platforms on an ongoing basis, not just as a one-time audit.

You can create an account to get started, or browse the full site map to see what AI Friendly covers.

Run your free AI readiness scan: https://aifriendly.app/auth