11 articles
AI ads make trust labels necessary. Separate earned recommendations, citations, sponsored placements, commercial surfaces, referrals, and conversions before reading AI visibility reports.
Ali Khallad7 min read
AI search is growing, but some users still want links, source control, and AI-free paths. Brands need visibility across answers and source checks.
Ali Khallad7 min read
One AI answer can reveal a problem, but it cannot measure AI search visibility. Use repeated prompts, platform comparisons, citation tracking, competitor tracking, and confidence labels instead.
Ali Khallad8 min read
AI search depends on source access, publisher incentives, crawler controls, and licensing pressure. That changes how brands should evaluate AI visibility.
Ali Khallad9 min read
AI search visibility depends on more than whether a page is cited. The screen can make one source look useful, trusted, or easy to ignore.
Ali Khallad8 min read
A Product Hunt launch can create attention, but AI recommendation visibility depends on category evidence, source coverage, and post-launch proof.
Ali Khallad9 min read
Browser agents need more than crawlable pages. Forms, states, permissions, checkout flows, docs, and APIs need to be easier to understand and test.
Ali Khallad9 min read
Google AI search is changing how people ask questions. Use this workflow to turn keyword research into prompt maps, content coverage, and visibility checks.
Ali Khallad7 min read
Ranking well in Google Search can help, but it does not guarantee citation in Google AI Overviews. Use this audit to find what the AI answer needed that the ranking page did not provide.
Ali Khallad7 min read
ChatGPT ads make AI search reporting harder. Earned mentions, citations, sponsored placement, referrals, and conversions need separate labels before the data can be trusted.
Ali Khallad7 min read
GA4 can now group AI assistant referrals, but AI traffic analytics also needs crawler activity, hidden visits, and conversion tracking.
Ali Khallad5 min read