AI Visibility Monitoring

Know when AI recommends your brand—and why.

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.

4 providersEvidence retainedFrom $29/month

AI Visibility

Representative product view

Weekly monitoring

Active monitoring question

Which AI search intelligence platforms are best for evidence-backed brand monitoring?

ChatGPT
Mentioned#2
Gemini
Mentioned#1
Claude
Not mentioned
xAI
Mentioned#3

75%

Mention rate

#2.0

Average position

3

Competitors surfaced

Beyond a mention

Measure the recommendation buyers actually receive.

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.

01

Mention & omission

See whether the brand appears in a completed answer—and which relevant alternatives appear instead.

Appeared in 3 of 4 providers
02

Recommendation position

Distinguish first-choice recommendations from alternatives, passing references, and unordered mentions.

Average observed rank #2.0
03

Citation coverage

Inspect the sources returned with each answer and whether owned evidence is represented.

6 sources · 2 owned
04

Provider disagreement

Preserve meaningful differences instead of averaging four distinct answers into one misleading score.

Claude disagrees with 3 providers

Evidence, not screenshots

Every score stays connected to what AI actually said.

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 →
C

Claude response

Original answer evidence

Brand omitted

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.

industry-report.examplecompetitor.exampleresearch.example

Evaluation

Review opportunity

Two competitors appear. The tracked brand is absent, and no owned source supports the answer.

Provider disagreement

Four answers are more useful than one averaged opinion.

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.

ProviderBrandPosition
ChatGPTVisible#2
GeminiVisible#1
ClaudeMissing
xAIVisible#3

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

12 citations

aibrandlens.com

Owned

4+2

industry-review.example

Earned

3+1

competitor.example

Competition

3−1

reddit.com

Social

2new

Citations and public proof

See which sources shape the answer.

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.

Learn how to improve citation readiness →

Competitive presence

Find the questions competitors are winning before you.

Discover competitors from real provider answers, compare their visibility and recommendation position, and preserve the prompt-level evidence behind every gap.

BrandVisibilityAvg. rank
Your brand64%#2.8
Competitor One78%#1.9
Competitor Two42%#3.4
Competitor Three31%#4.1

Highest-impact gap

Comparison prompts

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

Know what changed, when it changed, and what evidence moved with it.

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%

42
W1
48
W2
45
W3
57
W4
64
W5
72
W6

+8 pts

Visibility

+2

Owned citations

−1

Competitor gap

How it works

A repeatable measurement process, not a one-time AI trick.

AI Brand Lens keeps collection, evaluation, interpretation, and recommendations distinct so teams can inspect what was measured and understand the limits.

01

Define the buyer questions

Choose the category, comparison, problem, location, and purchase-intent questions that shape discovery.

02

Run comparable provider scans

Ask the same substantive question across supported providers with search grounding where available.

03

Preserve the complete evidence

Store the question, response, provider and model context, citations, timestamp, and evaluation output.

04

Measure observable signals

Evaluate mentions, omissions, position, competitors, citations, confidence, and provider disagreement.

05

Track what changes

Repeat the baseline on a dependable schedule and retain the historical answers behind every movement.

06

Prioritize the next action

Turn competitor wins, missing proof, and perception gaps into an evidence-backed queue for the team.

Built for the team

One evidence record for everyone responsible for the answer.

Marketing, SEO, content, and leadership should not maintain separate screenshots and interpretations of the same AI discovery problem.

Marketing leaders

Know whether AI repeats the market story the team is paying to build.

SEO teams

Extend search reporting into generated answers, source citations, and provider differences.

Content teams

Prioritize pages and proof tied to observed questions instead of speculative content volume.

Founders

See whether the company story is understood, trusted, and included in the consideration set.

Start with evidence

See the answer before you buy the monitoring program.

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

Understand what the numbers can—and cannot—prove.

For deeper measurement details, visit Methodology & Data.

Is AI visibility the same as a Google ranking?+

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.

Which AI providers does AI Brand Lens monitor?+

Paid monitoring supports ChatGPT, Gemini, Claude, and xAI subject to current provider availability. The free snapshot intentionally compares ChatGPT and Gemini.

Can AI Brand Lens guarantee that AI will recommend my brand?+

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.

Why do different providers return different answers?+

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.

What should we do after finding a visibility gap?+

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.