Is AI visibility the same as SEO ranking?
No. Traditional rankings describe positions in a search result set. AI visibility measures appearances, descriptions, and citations in generated answers, which can vary between runs.
AI answer checks
Track the questions buyers ask then fix what the evidence supports.
Save stable prompt programs across configured OpenAI, Gemini, Claude, and Perplexity routes. Measure mentions, competitors, and citation sources over time, connect gaps to the rest of your SEO evidence, and send supported fixes through review.
The short answer
What is AI search visibility?
AI search visibility describes whether and how a brand appears in generated answers and which sources support those answers. It is related to SEO, but it is not the same as a blue-link ranking.
NameChecked provides saved prompt programs, scheduled and on-demand provider comparisons, share-of-voice evidence, and citation opportunities with native web search where available. Saved questions are explicit project data, model answers remain ephemeral, and OpenRouter or provider API results are never presented as captures of vendor consumer apps.
01
Measure the answer
Answer-level evidence instead of one unexplained score.
A single visibility percentage hides too much. NameChecked returns each selected provider's availability, brand and competitor observations, cited sources, and route provenance for the current check.
- Prompt programsKeep a stable cohort of buyer questions on a daily, weekly, or manual cadence so changes are comparable.
- MentionsSee whether your brand appears for the prompts that matter to a category or buying journey.
- CitationsInspect the source URLs and domains answer engines use to support their responses.
- CompetitorsCompare coverage without treating a generated answer as a deterministic ranking.
- HistoryKeep timestamped aggregate outcomes and before/after direction without retaining model answers.
02
Connect AI and traditional search
Turn a mention gap into a testable hypothesis.
AI answers are probabilistic, so a missing mention is not proof that one page needs one specific edit. A team should look for corroborating evidence such as topic demand, pages already earning impressions, authority and citation patterns, technical accessibility, and recent repository activity.
NameChecked turns a saved-prompt gap into an evidence-linked insight. When the wider evidence supports a repository change, the remediation agent can prepare it as a draft pull request and the same program can be rerun after launch. When it does not, the finding stays advisory instead of manufacturing a confident fix.
Questions, answered directly
What teams ask before they start.
What should an AI visibility tool track?
At minimum: the tested question, route and surface provenance, timestamp, brand mentions, competitor mentions, citation URLs, citation domains, and enough repeat observations to compare change honestly.
Can NameChecked guarantee a citation in an AI answer?
No responsible platform can guarantee how an external model will answer. NameChecked helps teams measure the outcome, improve supported signals, and review the changes used to test a hypothesis.
Move from evidence to action
Measure the answer. Improve the evidence behind it.
Connect a verified domain and selected repository. NameChecked keeps every proposed change isolated, validated, and ready for human review.
Connect your site