Mention & omission
See whether the brand appears in a completed answer—and which relevant alternatives appear instead.
Monitor how ChatGPT, Gemini, Claude, and xAI mention, rank, cite, and describe your brand. Inspect the original answers, compare competitors, and track what changes over time.
AI Visibility
Representative product view
Active monitoring question
Which AI search intelligence platforms are best for evidence-backed brand monitoring?
75%
Mention rate
#2.0
Average position
3
Competitors surfaced
Beyond a mention
A brand can appear in an answer and still lose the decision. AI Brand Lens separates visibility, position, citations, competitors, and provider disagreement so one favorable sentence does not hide a commercially important gap.
See whether the brand appears in a completed answer—and which relevant alternatives appear instead.
Distinguish first-choice recommendations from alternatives, passing references, and unordered mentions.
Inspect the sources returned with each answer and whether owned evidence is represented.
Preserve meaningful differences instead of averaging four distinct answers into one misleading score.
Evidence, not screenshots
Keep the question, complete answer, provider and model context, citations, timestamp, competitors, and evaluation together. Review a conclusion without reconstructing the test from someone’s browser history.
Read the complete methodology →Claude response
Original answer evidence
For teams evaluating AI search intelligence, the strongest options combine repeatable prompt monitoring, source visibility, and competitive analysis. Consider platforms that preserve response-level evidence and explain how results were measured.
Evaluation
Review opportunityTwo competitors appear. The tracked brand is absent, and no owned source supports the answer.
Provider disagreement
Different providers use different models, retrieval systems, indexes, and source-selection methods. AI Brand Lens treats disagreement as a finding: a way to see whether the brand story is stable, isolated, incomplete, or dependent on one ecosystem.
Interpretation
The brand has broad visibility, but Claude’s omission deserves answer-level review before the team changes anything.
Citation evidence
Sources returned across completed answers
aibrandlens.com
Owned
industry-review.example
Earned
competitor.example
Competition
reddit.com
Social
Citations and public proof
A citation is evidence for one generated response—not a permanent endorsement. Review the domains and pages providers returned, identify whether owned evidence is present, and find the third-party sources or competitors influencing the category.
Competitive presence
Discover competitors from real provider answers, compare their visibility and recommendation position, and preserve the prompt-level evidence behind every gap.
Highest-impact gap
Competitor One appears first in 7 of 10 comparison answers. Providers repeatedly cite its category guide while the tracked brand’s comparison evidence is absent.
Next review
Inspect the 7 answers and the cited guide before creating new content.
Historical monitoring
A one-time screenshot can expose a problem. A durable timeline shows whether the change persists after provider updates, new evidence, competitor movement, or improvements to your own public record.
Visibility history
Six comparable monitoring periods
72%
+8 pts
Visibility
+2
Owned citations
−1
Competitor gap
How it works
AI Brand Lens keeps collection, evaluation, interpretation, and recommendations distinct so teams can inspect what was measured and understand the limits.
Choose the category, comparison, problem, location, and purchase-intent questions that shape discovery.
Ask the same substantive question across supported providers with search grounding where available.
Store the question, response, provider and model context, citations, timestamp, and evaluation output.
Evaluate mentions, omissions, position, competitors, citations, confidence, and provider disagreement.
Repeat the baseline on a dependable schedule and retain the historical answers behind every movement.
Turn competitor wins, missing proof, and perception gaps into an evidence-backed queue for the team.
Built for the team
Marketing, SEO, content, and leadership should not maintain separate screenshots and interpretations of the same AI discovery problem.
Know whether AI repeats the market story the team is paying to build.
Extend search reporting into generated answers, source citations, and provider differences.
Prioritize pages and proof tied to observed questions instead of speculative content volume.
See whether the company story is understood, trusted, and included in the consideration set.
Start with evidence
Run one buyer-style question through ChatGPT and Gemini, inspect the complete answers, and see which competitors surface. Upgrade when recurring monitoring becomes useful.
Questions, answered
For deeper measurement details, visit Methodology & Data.
No. AI answers are generated responses, not a fixed list of links. AI Brand Lens records point-in-time observations across questions and providers, then preserves the answers so movement can be interpreted in context.
Paid monitoring supports ChatGPT, Gemini, Claude, and xAI subject to current provider availability. The free snapshot intentionally compares ChatGPT and Gemini.
No outside platform can guarantee a mention, citation, ranking, or recommendation from an independent AI provider. AI Brand Lens measures the returned answers and identifies evidence gaps worth investigating.
Providers use different models, retrieval systems, indexes, instructions, and source-selection methods. That disagreement is useful evidence about whether a result is widespread or isolated.
Inspect the original answer, identify the competitor or source that displaced the brand, verify owned evidence, improve the smallest defensible set of pages or proof, and rescan without claiming causation from a single result.