From website link evidence to your next change.
Our planned workflow connects a focused AI visibility check with changes you can make on your website and a repeat check afterward.
1. Start with your business.
Enter your website, country and language. A limited review of public pages helps prepare your business profile and relevant customer questions. You can correct the profile before testing.
2. Review the questions.
Review and edit the questions. Discovery questions describe customer needs without naming your brand or domain. Save the approved version so a future scan can use the same questions.
3. Test fresh answers.
Each approved question starts in a fresh conversation, using consistent instructions and the required web search. Your website content is not supplied to the answering model, and searches are not restricted to your domain.
The first pilot proposes OpenAI and Claude API tests. Availability will be shown once each integration has been verified. An API answer is not proof of the same result in the consumer ChatGPT or Claude app.
4. Review the links.
See completed versus planned answers, answers with a matching website link, unique website pages linked, and results by provider. Open the underlying question and answer to inspect the evidence.
5. Make changes and measure again.
Use your DIY PDF or an agreed Done For You scope to make practical improvements. Repeat the approved questions and review subsequent results. Comparisons identify changes to questions, models, settings and completion coverage.
What a scan can tell you.
It shows what happened in a defined sample at a particular time. AI answers vary. Results do not guarantee future citations, rankings, website traffic or revenue, and a later improvement does not by itself prove which change caused it.
How we keep the evidence clear
Save question versions, provider and model, timestamps, search settings and whether required search ran. Match parsed website hostnames and the intended subdomain scope. Keep mentions, third-party links, supported citations and other answer links distinct. Report incomplete requests separately.
A link is the first step. Clicks, leads and purchases require separate website analytics.
53.3%
Organic search’s share of trackable website traffic in BrightEdge’s 2019 research.
Traffic share, not incremental SEO return.
BrightEdge channel share research (opens in a new tab)BrightEdge 2019 context (opens in a new tab)
42% higher
Purchase conversion for AI referrals versus aggregate non-AI traffic.
Adobe Digital Insights, U.S. retail, March 2026.
Adobe report, p. 8 (opens in a new tab)Adobe article (opens in a new tab)
37% higher
Revenue per visit for the same retail comparison.
Adobe Digital Insights, U.S. retail, March 2026.
AI referrals brought higher-value retail visits
Adobe Digital Insights · U.S. retail · March 2026
Relative index · Non-AI = 100
Relative index · Non-AI = 100
| Metric | Non-AI traffic | AI referrals | Difference |
|---|---|---|---|
| Purchase conversion rate | 100 | 142 | +42% |
| Revenue per visit | 100 | 137 | +37% |
Industry findings, not a forecast for your business. The comparison includes all non-AI traffic, not just organic search. Revenue per visit is not profit.
Source: Adobe Quarterly AI Traffic Report, April 2026 (printed pages 8 and 12) (opens in a new tab) · Conversion: Adobe article (opens in a new tab)
Research note
These are observational findings from U.S. retail sites, not NowSeenAI customer outcomes and not proof of a universal causal effect. Adobe’s methodology covers over one trillion retail visits overall; the figures shown compare AI referrals with non-AI traffic in March 2026. Adobe’s article also reports that AI conversion was 38% lower in March 2025, so results vary over time.