Growth Engine
Turn AI answer insights into content that moves your brand forward.
Kojable Growth Engine connects AI answer research with topic discovery, content planning, Knowledge Sources and evidence-grounded drafting.
Turn identified information gaps into structured content work, with human review and comparable retesting to understand what changes. Growth Engine is the content research, planning and creation capability within Kojable's AI answer alignment platform.
The free audit provides Brand Summary, Associated Topics and Competitor Snapshot. Growth Engine capabilities, content deliverables and follow-up testing depend on the selected package or agreed scope. Review the free AI Brand Audit outputs.
From a finding to useful work
Knowing what AI gets wrong is only the beginning.
An answer may misunderstand an important capability, omit a useful product feature or rely on outdated information. It may miss relevant use cases, recommend a competitor for a question your brand could answer or lack supporting evidence.
Finding the problem does not automatically explain what to create or correct. Teams need to decide which questions matter, which evidence supports an answer and how the work fits existing pages.
Growth Engine supports the path from research to priorities, content, publication and verification. It is designed for expertise-led B2B companies, professional services, consumer and ecommerce brands, and creator-led businesses. Marketing and content teams, agencies and consultants can use it to structure the next piece of work.
Growth Engine capabilities
From discovery to evidence-grounded content.
Research, planning and content generation are connected but separately governed steps. Each stage helps the team make a decision before moving work forward.
Topic discovery
Identify topics, buyer questions and information gaps that merit further research. Assess their relevance to your company, audience and existing coverage before making a content decision.
Keyword and fan-out-query research
Explore related questions, search patterns and available retrieval observations to understand how a topic can be researched and explained. A fan-out query is retrieval evidence, not an automatic target keyword or publishing instruction.
Topic Manager
Organise, review and prioritise individual topics for a structured content workflow. Approved topics can define the scope of AI answer observation; adding a topic does not itself approve an article for publication.
Topic Clusters
Group related topics and questions around coherent areas of coverage. Review the pillar, topic membership and intent so related content supports a useful reader journey rather than disconnected articles.
Knowledge Sources
Use relevant company information, research, internal expertise and approved first-party material to support content preparation. Sources must fit the topic; supplying context is distinct from seeing its contribution reflected in the finished draft.
Evidence-grounded content generation
Prepare structured briefs and drafts using researched topics and relevant reference information. Check facts, edit for clarity and relevance, and obtain human review and approval before publication.
AI answer observation and keyword opportunity discovery remain separate processes. A captured fan-out query is not automatically promoted into a topic, Topic Cluster, content brief or article. Read the DataForSEO integration case study for the research and planning boundaries.
Adding a Knowledge Source does not guarantee factual accuracy, Google indexing or citation by an AI system. Kojable distinguishes reviewed, retrieved and supplied information from material meaningfully reflected in the final content. Read how Knowledge Sources are selected and reported.
How the workflow connects
One connected path from insight to improvement.
Carry the reason for the work through research, planning, evidence review and drafting. Connected steps retain their own review, approval and scope boundaries.
Identify opportunities
Start with findings from AI Visibility Monitoring, Answer Intelligence, Competitor Intelligence or citation analysis. Identify the question and information gap that need attention.
Research questions
Investigate topics, related questions, useful evidence and existing pages. Consider what the brand can credibly explain and which gaps require more research.
Organise the work
Use Topic Manager and Topic Clusters to structure coverage and priorities. Cluster review, approval and calendar actions remain separate decisions.
Bring in evidence
Review relevant Knowledge Sources and supporting material. Check whether the evidence is current, appropriate to the question and sufficient for the proposed claims.
Prepare content
Create a brief or evidence-grounded draft for human review. Check what the draft actually says and how it uses the available information.
Publish and verify
Your team approves and publishes the work unless another arrangement is explicitly agreed. Where included in scope, retest relevant AI questions under comparable platform, market and measurement conditions.
See the wider Monitor, Diagnose, Improve, Verify workflow. Growth Engine supports the research, planning and content preparation within that process.
Illustrative research and planning questions.
Start with the questions your brand needs to answer.
These examples help plan the work. They are not collected model outputs, customer findings or measured results.
- Which questions are buyers asking about [topic]?
- What important information is missing from our existing pages?
- Which capabilities are AI assistants describing inaccurately?
- What topics should be grouped into a content cluster?
- Which reliable sources support our claims?
- What should an updated service or product page explain?
- How can we compare AI answers after publishing improvements?
What the work produces
Practical outputs your team can use.
Potential outputs depend on the selected capability and written scope. An engagement does not automatically include every item below.
Research and priorities
- Topic research and opportunity summaries
- Prioritised content ideas
- Topic and cluster plans
Evidence and content
- Supporting-source research
- Content briefs
- Evidence-grounded drafts
Publication and follow-up
- Technical SEO or content improvement notes
- Publishing instructions
- Comparable follow-up analysis
First Content Improvement and the Content Improvement Pack are one-time paid improvement packages. Optional Ongoing Support has its own monthly scope. The free AI Brand Audit remains an initial assessment.
Kojable's platform powers our research, diagnosis and follow-up work. One-time packages purchase defined deliverables rather than an ongoing software subscription. Optional Ongoing Support includes platform access within the agreed monthly scope. Advanced platform capabilities are not automatically included in every package. Managed pilots are scoped separately.
Your team approves content and handles publishing unless another arrangement is explicitly agreed. Hands-on publishing by Kojable is optional, quoted separately and requires suitable site access. Output quantities, review allowances and follow-up testing are agreed in writing. Review current packages and publishing responsibilities.
Growth Engine and AI content generation
Content starts with a question worth answering.
- Generic AI content generation
- Produces text from a prompt.
- Kojable Growth Engine
- Connects observed information gaps, topic research, supporting sources, structured planning and reviewed content preparation.
Evidence quality, relevance and human judgement matter at each step. A draft still needs fact-checking, editing and approval. Generated content is not automatically correct, and publication does not guarantee that it will be indexed, cited or shown in AI search.
How Growth Engine connects to Kojable
From measuring AI answers to improving the information behind them.
Research capabilities identify what deserves attention. Growth Engine helps organise the content work that follows, within the scope your team agrees.
AI Brand Audit
Establish an initial brand snapshot before choosing which questions need further work.
Explore the AI Brand AuditAnswer Intelligence
Identify potentially inaccurate claims, missing context and information that needs checking.
Explore Answer IntelligenceCompetitor Intelligence
Investigate competitive positioning, overlooked differentiators and information gaps.
Explore Competitor IntelligenceAI Citation Monitoring
Investigate available supporting sources and the evidence associated with measured answers.
Explore AI Citation MonitoringAI Product Discovery
Identify product-related representation gaps that may need clearer descriptions or supporting information.
Explore AI Product DiscoveryGrowth Engine
Turn prioritised findings into researched, structured content work for review and approval.
You are exploring this capability.
Independent publisher and creator research can complement owned content planning. Explore Creator & Publisher Intelligence to evaluate relevant independent information opportunities and prepare materials for review.
Platform context
Improve your information with AI answers in view.
Kojable's wider measurement workflow can examine answers across Google, Meta, ChatGPT and Claude, using the platforms and surfaces agreed in scope.
Google- Gemini, AI Mode and AI Overviews are distinct experiences. Follow-up comparisons retain the exact Google surface tested.
Meta- We measure grounded Muse Spark answers through Meta’s API. Tests use the Meta Model API with web-search grounding, not private or personalised conversations inside Instagram, WhatsApp or Facebook.
ChatGPT- Answer checks use the recorded OpenAI model and access conditions, not every consumer application mode or account type.
Claude- Comparisons use the Claude models and surfaces agreed for the engagement; Anthropic API testing does not imply universal application coverage.
Growth Engine prepares improvements to content and supporting information. It does not automatically publish into Google, Meta, ChatGPT or Claude or control their answers. Measurement and comparable retesting evaluate observed responses within the agreed scope.
Practical answers
Frequently asked questions about Growth Engine
What is Kojable Growth Engine?
Growth Engine is Kojable's content research, planning and creation capability for turning AI answer gaps into structured content work. It connects topic research, supporting sources and reviewed drafts with comparable follow-up testing where included in scope.
How does Growth Engine connect AI answer research to content creation?
Growth Engine uses identified information gaps as a starting point for research, priorities and content preparation. Topic research, planning and generation remain separately governed steps; a captured query does not automatically become an approved article.
What are Topic Manager and Topic Clusters?
Topic Manager organises individual topics; Topic Clusters group related topics and questions into coherent coverage. Teams review priorities, pillars and topic membership, while approval and calendar actions remain separate decisions.
What are Knowledge Sources?
Knowledge Sources are trusted reference materials, such as company information, research and approved first-party expertise, that may support relevant drafts. Material must fit the topic, and supplying context does not prove it was meaningfully reflected in the final article or guarantee factual accuracy.
What is fan-out-query research?
Fan-out-query research examines secondary searches an AI system uses to gather information for a broader question. Kojable keeps these observations with their answer and market context; they are retrieval evidence, not automatic instructions to create or publish content.
Does Growth Engine automatically publish content?
No. Your team reviews and approves content and handles publishing unless another arrangement is explicitly agreed. Hands-on publishing by Kojable is optional, quoted separately and requires suitable site access.
Is Growth Engine included in the free AI Brand Audit?
No. The free AI Brand Audit provides Brand Summary, Associated Topics and Competitor Snapshot. Growth Engine capabilities, deliverables, platform access and follow-up testing depend on the selected package or agreed scope.
Can Growth Engine guarantee improved AI rankings or citations?
No. Growth Engine cannot guarantee rankings, indexing, citations, recommendations or revenue growth. Evidence, reviewed content and comparable retesting help teams understand observed changes without controlling third-party AI systems.