Prompt mentions
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We turn your website into structured, citable answers for Google AI, ChatGPT, Perplexity, Gemini, Claude, Grok, and other AI search systems.
Content audit, Schema, llms.txt, and citation monitoring across classic web search, AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and more. Works on top of your existing SEO.
We never push content to your site. We crawl, generate the right signals, and watch how AI starts using your brand.
We do the rest. No developer needed on your side.
Pages, schema, content, links. The way AI models see it, not just web search.
Schema, llms.txt, structure, context. A clear list, not a 40 page PDF.
New content, schema and llms.txt are produced on our side. You get everything to review.
How AI models mention, cite and describe your brand. Week by week.
Every buying question can appear across Google Search, AI Overviews, ChatGPT, Gemini, Claude, and Perplexity. Brands with structured, trustworthy content become the sources these systems recommend.
The shopper types "best running shoes for asphalt beginner" into Google Search, sees an AI Overview or AI search summary on top, then asks ChatGPT for a shortlist. Your product has to appear across search, AI Overviews, and model answers. We fix that at the level of every category and every product with Schema, comparison pages, and product-level FAQ.
AI pulls from a store that explains cushioning, surface, skill level, and differences between models in a way web search, AI Overviews, ChatGPT, Gemini, and Perplexity can all cite. A store with FAQ, comparison, and Product schema becomes the source that appears across the answer surfaces.
yourstore.com/guides
Running shoes for asphalt: cushioning, drop, surface, and how to pick a model.
yourstore.com/faq
Beginner runner FAQ: mileage, break-in, and when to replace shoes.
ChatGPT can make mistakes. Check important info.
RiseChat reads your live page, scores each block an AI can cite, and produces the content that closes the gap. This is what the audit looks like inside the platform.
Page sections
6 categories audited
Audit
Evidence
The page mentions 'pricing' and 'support' in body copy but does not include a structured FAQ block or FAQPage schema.
Reasoning
FAQ helps AI pull short answers directly. Without a schema, the model has to infer questions from prose, which lowers citation confidence.
Optimization
FAQ4 FAQ entriesFAQPage schemaContent
FAQ with Question/AnswerDoes RiseChat track ChatGPT mentions?
Yes. RiseChat runs your prompts through the models available on your plan, including ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, and Mistral. Checks run every 48 hours, and the dashboard keeps model-by-model history so you can see when each system picks up new source data.
What is the difference between Schema JSON-LD and llms.txt?
Schema JSON-LD is structured data in the <head> that AI models parse to identify your product, FAQ, and HowTo blocks. llms.txt is a flat text file at /llms.txt that gives models a one-page summary of your offer, categories, and FAQ before they read the rest of the site.
How fast will my brand appear in AI answers after deploying Schema?
Plan for at least two weeks before judging impact. Perplexity, Gemini, ChatGPT, Claude, Grok, and AI Overviews refresh sources differently, so stable visibility usually takes 4-6 weeks of monitoring and iteration.
Do I need to install anything on my site?
No. There is no plugin, app, or script. You paste one JSON-LD snippet in <head> and upload two short files (llms.txt and llms-full.txt) to the root of your domain. That is the entire deployment.
AI-referred visitors are still a small share of traffic—but they sit much closer to purchase. Studies report conversion rates 30% to 9× higher than classic organic Google. RiseChat.ai audits your content, ships Schema, and tunes the pages AI engines cite—so your brand shows up there too.
About 2,340,000 results (0.42 s)
topairpurifiers.com › air-purifiers
Find HEPA filter air purifiers for your apartment. Compare prices, CADR and reviews.
airqualityexperts.com › air-purifiers
Check the air purifier rankings. HEPA H13 filters, quiet operation, automatic mode.
homeapplianceshub.com › air-purifiers
Modern air purifiers with HEPA filtration. Choose the ideal model for your living room.
cleanairrankings.com › air-purifiers
Comparison of the 10 best models. Xiaomi, Electrolux, Daikin. All tested and scored.
For a 45 m² apartment and for someone with asthma, I recommend two models that combine HEPA H13 filter with quiet operation and an affordable price:
Xiaomi Air Purifier 4 Lite
HEPA H13 filter, CADR 187 m³/h, auto mode, app control, quiet night operation.
Price approx. $129-149
Electrolux Pure i9
HEPA H13 filter, air quality indicator, Dyson-matched design, 5 speeds.
Price approx. $179-219
Sources
ChatGPT can make mistakes. Check important info.
One plan, many answer surfaces covered. From a single domain monitored across classic web search, AI Overviews, ChatGPT, Perplexity, Gemini, Claude, and Grok, to full coverage of every popular AI system with priority rollout.
Plain-text files at the root of your site that tell AI what your business is. (llms.txt standard.)
Plain-text files at the root of your site that tell AI what your business is. (llms.txt standard.)
Plain-text files at the root of your site that tell AI what your business is. (llms.txt standard.)
Need a plan tailored to your scale?
See full pricing and the Custom planNet prices. VAT invoice on purchase. Higher plans include dedicated implementation support.
How does Perplexity rank different brands?
What's the ROI of AI visibility optimization?
How accurate are AI brand mentions?
Best practices for AI search optimization?
Best AI search tracking software?
How do AI platforms choose which brands to mention?
How to measure AI visibility success?
How to appear in Perplexity search results?
Which metrics matter for AI visibility?
What's the future of AI-driven search?
Not exactly. AI Visibility is the next layer of SEO, not a separate field. SEO still gets you ranked in classic web search results. AI Visibility extends that work so you can also be cited in AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and other models. Same foundation, more answer surfaces. We build on top of the SEO you already have.
We generate Schema, rewrite the key pages around the questions your customers type into classic search, AI Overviews, AI search engines, and AI models, add FAQ, and improve categories. You get a concrete list of what to change, the Schema snippets ready to paste into the head section, and the llms.txt files ready to upload. Your team or developer deploys the changes on your side.
No. Every plan includes the same Schema snippet and step-by-step instructions for pasting it into the head section. On larger projects and more complex stacks, having a developer on hand helps. On smaller or less technical projects, you can usually handle the deployment yourself.
The first changes (Schema and content fixes) can go live within days, but AI systems do not refresh at the same speed. Plan for at least two weeks before judging visibility in ChatGPT, Perplexity, Gemini, Claude, Grok, AI Overviews, and AI search engines. Stable visibility usually takes 4-6 weeks of monitoring and iteration because each model reads, stores, and reuses source data differently.
Positively. Schema and clearer content help classic web search rankings, AI Overviews, AI search engines, and AI models at the same time. One set of changes supports more than one answer surface.
Schema (Schema JSON-LD) is structured data that tells classic search, AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, and other AI systems: this is a product, this is the price, this is a rating, this is an instruction. Without it, every surface has to guess from raw text, and your pages get skipped. Schema must match what users actually see on the page though. If Schema says one thing and the visible page says another, AI search bots treat it as spam and bury the brand in their answers. The same goes for price, availability, stock status or any other information that lives in Schema or in llms.txt files but does not match the on-page content: AI will mark that signal as untrustworthy and skip the source.
Every 48 hours we query the models available on your plan, including combinations of ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, and other AI systems. We write down what each one says about your business, whether they mention you at all, and whether what they say is true. External model memory and search refreshes are not identical: Perplexity may pick up live sources differently than ChatGPT or Gemini, so we evaluate movement over a minimum two-week window and keep the 90-day history for trend analysis.
No, and we don't want to. We write the changes for you, then send them as a list. Your team (or whoever runs your website) pastes them in. That way you always know exactly what went live, and you can say no to anything that doesn't feel right. It also means we never log into your site, never see your passwords, and never push anything live for you.
No. You don't install anything. There is no plugin, no app, no code that runs on your site. Everything we send is one small block of text (a snippet your developer pastes once) and two short files that sit in the main folder of your website. That's it. It works on Shopify, WordPress, Wix, Squarespace, Webflow, or any custom website, with the same deliverable and the same 20-minute deploy.
That is the thing we are built to catch. Every 48 hours we check the models on your plan, and the moment one of them describes your business the wrong way, we flag it. We tell you which AI said it, on which question, and what they said. We send you a fix (usually a new FAQ answer, a clearer product description, or a small bit of structured data). Your team puts it on the site, then we keep checking across models because each one refreshes and trusts new source data at a different pace.
Most stores miss the structural signals AI looks for before it cites a page: clear product Schema, llms.txt at the domain root, comparison blocks, FAQ on key pages, and atomic statements AI can quote as facts. AI engines pull from the pages that give them a ready answer. If your product pages only have hero copy and feature blocks, the model skips you for a competitor that described the product as a direct answer. The audit flags exactly which pages need Schema, FAQ, and structured comparison content so AI can read them.
AI recommends the product it can read as a structured answer. If your product page reads like a sales page (hero, adjectives, generic benefits), the model cannot extract the facts it needs to recommend it. Product pages that win in AI cite cleanly: product overview, key features as bullet claims, technical specifications, compatibility, usage scenarios, limitations, and FAQ. We rewrite the page in that shape and generate the Schema that goes with it, so the model has a ready answer instead of a guess.
AI cites the brand that gave it the cleanest structured answer first. Your competitors are publishing Schema, FAQ blocks, comparison pages, llms.txt, and product specifications that AI can extract as facts, and you are not. We run a side-by-side comparison of your prompts on the same models, show you what they wrote about you and what they wrote about the competitor, and ship the page-level changes that close the gap.
AI Overviews pull from pages with clear Schema, an FAQ block, definitions, and a direct answer the model can lift as a snippet. We audit your key pages for those signals, generate the missing Schema, rewrite the FAQ and the direct-answer sections, and add llms.txt so the crawler reads your offer before it guesses. Most projects see AI Overview citations start to appear within the first 2-4 weeks of shipping the changes.
AI describes your business based on what it can read on your site plus what other websites say about you. If your own pages are vague, AI fills the gap with guesses from third-party sources, and those guesses become the description that gets repeated in every answer. We catch that with the 48-hour monitoring: we record what every model on your plan says, compare it to the truth, and ship the page-level fixes that replace the wrong description with the right one.
Every 48 hours we run your monitored prompts across the models on your plan: ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, and AI Overviews. We record whether the model mentions you, what it says, and how the answer moves week over week. You see the trend, the gaps against competitors on the same prompts, and the exact fixes that move each prompt from skipped to cited.
Optimize for classic search, AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, Grok, and the models your buyers already trust.