How toHow to track AI visibility
Short answer: Track a fixed set of prompts on a schedule across AI platforms, and record mentions, citations, sentiment and accuracy. Trends over many prompts matter more than any single answer.
- Write buyer-persona prompts across funnel stages: awareness, comparison and decision.
- Run the same prompts monthly on each platform, ideally in a clean session and a consistent location.
- Record the date, platform, answer, sources, brand mention, link and sentiment.
- Compute simple metrics: share of voice (prompts where you appear, divided by total prompts) and citation share by platform.
- Benchmark named competitors on the same prompts.
- Use tools such as xFunnel.ai or Profound to automate, and validate key prompts by hand.
Answers vary by user, location and time. Repeat prompts several times before reading a change as real.
Need help? AI visibility intelligence →
How toHow to track AI traffic in GA4
Short answer: Segment sessions whose source is an AI assistant, then tie them to conversions. Source names change, so build the list from your own data.
- In GA4, open the Traffic acquisition report and set the dimension to session source or source / medium.
- Search for sources such as chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and claude.ai, and note which actually appear in your data.
- Create a custom channel group or an Exploration segment that matches those sources, for example with a regular expression.
- Compare engagement and key events for this group against organic search.
- Add a "how did you hear about us" field to forms to catch visits that arrive with no referrer.
Some AI clicks arrive without a referrer and appear as direct traffic, so GA4 will undercount.
Need help? Reporting →
How toHow to run an AI accuracy audit
Short answer: Compare what AI tools say about your pricing, products and leadership with your own source of truth, then fix each error at the page that caused it.
- Create a fact sheet: prices, plans, features, locations, leadership and policies.
- Ask each AI platform factual questions about your brand.
- Log every mismatch with the platform, the prompt and the source it cited.
- Trace the source: your own page, a directory, a news article or an outdated listing.
- Correct the source where it lives, and update your own pages so they are unambiguous.
- Retest next month and track open errors.
Need help? AI visibility intelligence →
How toHow to add Organization schema for entity clarity
Short answer: Organization markup tells machines who you are with consistent name, logo, URL, contact and profile links. It helps disambiguate your brand but does not by itself cause citations.
- Collect the exact name, URL, logo, description and contact details you want machines to use.
- Write an Organization JSON-LD block with those values and your official profile links in sameAs.
- Place it on your homepage and reference the same @id from other pages.
- Make sure every value appears on the site or in profiles, so they agree.
- Validate it with the Schema Markup Validator and Google's Rich Results Test.
{"@context":"https://schema.org","@type":"Organization","@id":"https://www.example.com/#organization","name":"Example Co","url":"https://www.example.com/","logo":"https://www.example.com/logo.png","sameAs":["https://www.linkedin.com/company/example"]}Need help? Structured data and entities →
How toHow to keep content fresh for AI search
Short answer: Update pages that answer time-sensitive questions on a schedule, and change the visible date only when the content really changed.
- List pages that contain prices, statistics, rules or tool names that go stale.
- Set a review cadence, for example quarterly, and assign an owner.
- Update facts and sources, remove dead links and add what changed.
- Show a real last-updated date and keep dateModified in schema consistent with it.
- Resubmit the URL in Search Console when a key page changes.
Need help? Content freshness →