Product update
Source Guidance Controls Update
Kojable now gives teams more control over the sources that shape their AI visibility strategy, including the sources they want to prioritize and the sources they want to avoid.
The update helps teams turn source strategy into clear guidance for better, more trustworthy AEO work.
Previous state
Source strategy could lack explicit boundaries around weak or misleading sources.
Now
Teams can define which source types to prioritise and which to avoid.
User impact
Recommendations can stay focused on relevant, trustworthy and realistic source paths.
Control map
Selection is a decision path, not proof of authority
Candidate sources are assessed across relevance, authority and context, and practical usefulness before a bounded outcome.
Candidate source
Begin with the source and its actual context.
Relevance check
Does it address the exact topic?
Authority and context
Is it credible for this particular claim?
Practical-action check
Is the guidance realistic and actionable?
Use, investigate or avoid
Retain uncertainty and unsuitable-source boundaries.
What changed
Teams can now define source guidance in Kojable
AI visibility is influenced by the sources answer engines learn from, cite, and trust. Teams need a way to clarify which sources should shape their visibility work and which sources should not be relied on.
Kojable now supports source guidance controls so teams can identify, manage, and direct the source patterns behind AI visibility recommendations.
Answer
teams can define the sources that should shape AI visibility strategy, while setting boundaries around sources or source types they want to avoid.
Why it matters
Source quality shapes answer quality
Answer engines do not judge a brand from owned content alone. They also rely on review platforms, analyst pages, industry publications, partner sites, communities, and customer-generated content. When those sources are useful and trustworthy, AI answers are more likely to reflect the brand accurately.
Relevant
Sources should answer the market, category or buyer question being investigated.
Authoritative
Teams can identify source types that provide credible evidence for the claims involved.
Actionable
Guidance stays tied to source paths a team can realistically maintain, clarify or influence.
Unsuitable
Outdated, shallow, misaligned or strategically risky sources can be marked as boundaries.
Prioritize
Sources teams may want to prioritize
The right source mix depends on the market, category, and buyer journey. Kojable helps teams clarify which source types should carry more weight when planning AI visibility work.
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Review platforms
Buyer-facing reviews and comparison platforms that answer engines can use as evidence.
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Analyst and industry pages
Category-level sources that frame markets, vendors, capabilities, and trends.
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Partner and ecosystem sites
Pages that validate integrations, use cases, and trusted relationships.
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Community and customer sources
Business-user discussions, customer content, and user-generated signals that reflect real usage.
Avoid
Sources teams may want to avoid
Source guidance also helps teams define boundaries. Some sources may be outdated, too shallow, inconsistent with the brand's positioning, or poor evidence for the claims a team wants AI systems to learn from.
By clarifying what not to rely on, teams can improve the quality and strategic direction of AI visibility work.
AEO support
Use source guidance to improve AEO work
Clear source guidance helps teams choose the right places to build authority, update information, strengthen proof, and correct weak signals. It gives AEO work a stronger source strategy instead of treating every citation opportunity the same.
The result is more focused work around the sources that can improve AI visibility, while avoiding source patterns that make answers less useful or less trustworthy.
About this product update
This update was published by Kojable, an AI answer alignment platform for understanding and improving how companies are represented across AI systems.
KojableAI answer alignment platform