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Product audit

Score any product page on AI readiness, see the verdict, and ship AI-ready copy in one click.

Open a product page in your project and get a 0-100 audit, a strengths and weaknesses breakdown, the LLM readiness signals, the content patterns AI looks for, the optimized copy you can paste into the CMS, and the detailed per-dimension scoring that explains why the score landed where it did.

What it looks like

Live preview

Product auditPSA-7F4A2ProductPage15 May 2026, 14:32

Pro plan

risechat.ai/product/pro

Overall audit

Good

The Pro plan page has solid structure and a working JSON-LD layer, but the prose is too dense for AI to extract specs and steps. Drop the marketing block, isolate specifications into a key-value table, and add a HowTo block for the deployment flow.

82RAG ingestion
74Answer generation
68Context isolation
59Semantic retrieval

Score breakdown

HTML structure78
Content quality69
Factual density56
Semantic chunking73
Extraction reliability64

Top recommendation

From the audit verdict

Factual density is the weakest signal. The Pro plan hero reads as 60% marketing copy, 40% facts. AI skips it for buyer-intent queries that expect a number or a constraint.

  • Hero section has no atomic statement that AI can quote
  • Specifications live inside a paragraph, not a table — AI cannot extract them as key-value pairs
  • HowTo steps are split across three sections without a HowTo block to anchor them
StrengthsClear product positioningBrand voice consistentSchema JSON-LD presentFeature list well-structured

Content patterns

Structural and semantic signals the crawler looks for.

  • Feature lists

    Detected

  • Specification table

    Missing

  • Atomic statements

    Missing

  • Marketing blocks

    Detected

  • Redundant sections

    Detected

  • Mixed semantic sections

    Missing

Optimized content

Replace your current page copy with this version. Drop it in as-is or adapt to your tone.

Pro plan

RiseChat is the GEO/AEO platform that audits your site, generates Schema JSON-LD and llms.txt, and monitors how AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, and other models describe your brand.

The Pro plan is built for SaaS marketing and SEO teams that need to be cited in AI answers — not just ranked in classic web search results.

  • Schema JSON-LD generation for 10 schema types — Organization, WebSite, WebPage, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, Article, BlogPosting, Service.
  • llms.txt and llms-full.txt generated from page content, kept in sync with product and pricing changes.
  • Up to 5 LLM models monitored across 50 prompts, checked every 48 hours.
  • Drop alerts when AI stops citing your brand or moves you below position 5.
  • Two team seats so marketing and SEO can share the workspace.
Capacity
5 projects, 50 pages, 50 prompts, 2 seats.
Check cadence
every 48 hours. External model refresh cadence varies by system.
History
90 days of trend data.
Deploy
JSON-LD snippet in <head>, llms.txt and llms-full.txt at domain root.
API
REST + Webhooks for monitoring events.
  • Shopify
  • WordPress
  • Webflow
  • Squarespace
  • Wix
  • Custom Next.js
  • Any static site
  • SaaS marketing teams that need to be cited in AI Overviews, AI search engines, ChatGPT, Perplexity, Gemini, Claude, and Grok answers.
  • SEO teams that want Schema generation and llms.txt maintenance in one product.
  • Agencies running AI visibility audits for multiple clients.
  • Product marketing teams tracking brand perception across AI answers.
  • Does not include brand-new crawls for pages added after onboarding — re-crawl required.
  • No plugin, app, or script is installed on the customer site.
  • Schema generation requires human review before deployment to the CMS.

Q: Does RiseChat track ChatGPT mentions?

A: 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.

Q: What is the difference between Schema JSON-LD and llms.txt?

A: 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.

Q: How fast will my brand appear in AI answers after deploying Schema?

A: 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.

Q: Do I need to install anything on my site?

A: No. There is no plugin, app, or script. You paste one JSON-LD snippet in <head> and upload two short files to the root of your domain. That is the entire deployment.

Detailed audit

Per-dimension scoring. Click a row for the audit reasoning.

HTML structure

DOM cleanliness, heading hierarchy, semantic markup.

Content quality

Density, clarity, marketing balance.

Extraction reliability

How well AI can pull structured facts from the page.

  • Features

    86

  • Limitations

    42

  • Compatibility

    71

  • Product overview

    88

  • Technical specifications

    51

Detected issues (3)

  • low_factual_densityHero section is 60% marketing copy and 40% facts
  • missing_howto_blockHowTo steps are split across three sections without a HowTo block
  • missing_itemlist_schemaItemList schema not detected on the feature grid

When to use

Open product you want to optimize, run content and schema audit, make sure you will check what's needed, where's problems, and use optimized content to create your own unique product description.

How it works

  1. Pick a product page

    Choose any product page from your project. RiseChat pulls the latest crawl, runs the AI-readiness checks, and prepares the verdict.

  2. Read the verdict

    Open the audit to see the overall score, the highest-risk area, the strengths, the weaknesses, the LLM readiness signals, and the content patterns the crawler detected.

  3. Copy or download the optimized content

    Optimized content is a guide for you showing what is necessary on your page - not a requirement that every section must appear. Use the sections that fit your product: product overview, key features, technical specifications, compatibility, usage scenarios, limitations, and FAQ.

  4. Drill into the per-dimension scoring

    Open the detailed audit to see the HTML structure, content quality, and extraction reliability scores. Click any row to read the findings and the issues behind the score.

Why choose us

Make every product page citable in AI answers.

Product pages are where buyers ask the comparison and pricing questions that decide the deal. Product audit makes sure AI can read them, extract the facts, and cite your offer.

Score every product page on AI readiness.

HTML structure, content quality, factual density, semantic chunking, extraction reliability. One number per page, broken down into the signals AI actually checks.

See the verdict before the buyer does.

Highest-risk area, primary weaknesses, primary strengths, and the deterministic summary. Read the verdict in one line, drill into the rows that matter.

Copy or download the AI-ready copy.

Optimized content panel with product overview, key features, specifications, compatibility, usage scenarios, limitations, and FAQ. Paste into your CMS or download as Markdown.

Edit the page copy you already have.

The audit and optimization work on the content that already exists on your page. Ship the changes, and the score, verdict, and optimized copy reflect what buyers and AI see today.

FAQ

What does the overall score measure?

It is a 0-100 number that combines HTML structure, content quality, factual density, semantic chunking, and extraction reliability. It tells you how easy it is for AI Overviews, ChatGPT, Perplexity, Gemini, Claude, Grok, and other systems to read and cite the page.

What are the LLM readiness signals?

Four signals that decide whether AI can read the page and cite it as a direct answer. They are content that AI can extract cleanly, proprietary research and observations embedded in the copy, answers to the questions buyers actually ask, and concrete usage scenarios.

What does the optimized content include?

A complete product copy that AI can parse: product overview, key features, technical specifications, compatibility, usage scenarios, limitations, and FAQ. Copy it as-is into your CMS or adapt it to your brand voice.

How does the score stay accurate?

The audit runs against the page copy you already have. Edit the content, ship the changes, and the score, verdict, and optimized copy reflect what buyers and AI see today.

Short audit

Check if AI can read your company website.

Start short audit

See other features

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Feature

Dashboard

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Optimization overview

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llms.txt generation

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AI visibility monitoring

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Prompt monitoring

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