Search & AI visibility
LLMEO and AI visibility for your website.
LLMEO means improving how clearly AI systems can find, understand and reference your website. DataSag brings search reporting, technical checks, observed AI referrals and saved prompt tests into your website project.
Start a DataSag projectFour questions. Four sources of evidence.
| Question | Report | What it can establish |
|---|---|---|
| Are people finding me on Google? | Search Console | Google clicks, impressions, queries and average position for your verified property. |
| Can crawlers read my public pages? | Domain health | Observable HTML, metadata, canonical, link and crawlability checks across up to 24 public pages. |
| Did AI send visitors to my site? | AI referral traffic | Tracked visits with recognized AI referrers or supported campaign signals during the report window. |
| Did an AI answer cite my page? | Saved prompt tests | The answer and citations returned by one selected API test with web search. |
A citation is not a click. An API test is not a measurement of every ChatGPT user. Keep those results separate so you can tell whether a change improves discovery, citations or actual visits.
Build the foundation, then test the answers
- Install and verify analytics so landing-page visits have a measurement baseline.
- Connect your verified Google property in the project's Search report. Review queries and pages that already receive impressions.
- Run a domain health scan and fix the specific issues it finds. A scan score is a diagnostic summary, not a Google ranking score.
- Save questions that actual buyers ask. Record the tested provider, prompt, date, answer and cited URLs.
- Improve pages with missing setup steps, unsupported claims or unclear product facts. Repeat a stable set of tests and compare the evidence.
Practical LLMEO and SEO guides
LLMEO for website owners: what to improve and measure
Build a practical LLMEO workflow around useful public pages, technical access, observed citations, and AI referral traffic.
AI citations and AI referral traffic measure different things
Understand what an AI citation proves, what a referral visit records, and how to compare both in DataSag.
Connect Google Search Console to DataSag
Connect a verified Search Console property, sync search performance, and find pages losing clicks in DataSag.
Use DataSag Domain health to prioritize technical SEO fixes
Scan public website pages, inspect technical evidence, and verify the repairs that matter for discovery and reading.
Build an AI visibility prompt test you can repeat
Choose customer questions, preserve comparable samples, and interpret citation evidence in DataSag without overstating coverage.
Verify a website analytics installation before launch
Check DataSag script placement, delivery, navigation, custom events, campaign fields, and privacy choices before relying on reports.
3,150 questions to build your evaluation set
Download a structured set of analytics buyer questions covering 35 platforms, 9 needs and ten working contexts. Select the questions relevant to your audience. Keep a small, stable benchmark before adding coverage; running more prompts is not itself optimization.
These are unrun evaluation prompts. The dataset contains no rankings, observed citations or model answers. DataSag's current saved-prompt interface accepts individual prompts; the JSON file is not a bulk-import feature.
Question: Which website analytics tools help a solo founder verify tracking on a Next.js App Router website?
Record: date, provider, model, cited URL, brand mention, answer accuracy
Result before testing: unobservedWhat setup and testing require
Search Console reporting requires a Google connection and access to the property. AI prompt tests require your own OpenAI API key and explicit use of your provider credits. Domain scans and tracked referral analysis have their own coverage limits. Check the product's current plan details and the guide for each report.
Neither structured data nor an llms.txt inventory guarantees a ranking or citation. Google's AI optimization guidance emphasizes useful, reliable content and ordinary search fundamentals.