Generative search visibility and GEO
Be.cited by Benext: brand visibility for the generative search era
Be.cited helps teams understand whether AI systems cite, describe and recommend their brand accurately, then turns those findings into technical, semantic and editorial actions that improve generative search visibility.
Who it is best for
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Brands with AI-search exposure
Teams that need to know whether ChatGPT, Gemini, Claude and Perplexity mention them correctly in category discovery moments.
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Marketing and content leaders
Teams responsible for organic visibility, authority signals, content quality and brand narrative across emerging AI answer engines.
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Agencies and advisory teams
Partners that need a structured diagnostic and action workflow for generative engine optimisation programmes.
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Technical SEO and platform teams
Teams that need to connect technical accessibility, structured content, source authority and LLM citation behaviour.
What it helps clients achieve
- Visibility into how multiple LLMs cite, rank and describe the brand.
- A structured action plan across technical, content, semantic and source audits.
- Prioritised recommendations for pages, sources and prompts that influence AI answers.
- Human-in-the-loop editorial workflow for GEO-focused content improvement.
- A board-friendly view of generative search risk, opportunity and progress.
Core capabilities
What it actually does
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LLM visibility monitoring
Tracks brand visibility, mention quality, sentiment and citation behaviour across ChatGPT, Gemini, Claude and Perplexity.
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Four-layer GEO audit
Assesses technical readiness, content citability, semantic coverage and source authority so teams can see why a brand is present, absent or losing ground.
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Competitive and risk intelligence
Maps where competitors appear, where the brand is vulnerable, and which territories or keywords produce weak or hostile narratives.
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Human-led editorial improvement
Uses an AI-assisted editor with human approval, audit trail and real-time GEO indicators rather than fully automated content generation.
Where it applies
Use cases
AI search visibility diagnostic
Run a first scan to understand whether the brand is cited, absent, misrepresented or losing share of voice in AI answers.
Generative search content programme
Prioritise content, source and technical improvements that make the brand more discoverable and quotable by answer engines.
Competitive narrative tracking
Monitor which competitors are being named by LLMs and where category prompts create gaps or risk for the brand.
Evidence
Proof points
- 4LLMs monitored
- 12positioning metrics
- 14GEO editor indicators
- Source deck positions Be.cited as monitoring ChatGPT, Gemini, Claude and Perplexity.
- The product roadmap references GA4 and Search Console integration, llms.txt generation, competitive analysis, API access and agency white-label support.
Qualification
Fit assessment
Best fit if
- Your category is increasingly researched through AI assistants or answer engines.
- You need to know whether your brand is cited accurately across LLMs.
- You want a repeatable GEO workflow rather than one-off AI-search checks.
- You need human approval and editorial control over content changes.
Not a fit if
- You are looking for a traditional rank-tracking tool only.
- You want fully automated content publication without review.
- You do not yet have enough owned or earned content for AI systems to cite.
Our read
Where we see the fit
Be.cited is the market-facing product. Benext is the company behind it. Commerce Partners should position it for brands that need evidence of how they are represented inside AI answers, and for agencies building practical GEO programmes for clients.
Next step
Interested in Be.cited for generative search visibility?
We validate fit, define the pilot scope, and coordinate the introduction.