Tenpoint Labs helps B2B SaaS and enterprise teams use organic search and content to support qualified pipeline and revenue.
Our work starts with understanding your customers, product and commercial priorities. We combine customer insights, search data and competitor research to identify the topics, pages and technical improvements most relevant to your business.
Our services include:
- SEO audits and technical SEO recommendations
- Keyword research and content strategy
- Content creation, refreshes and optimization
- Internal linking and content structure
- Answer engine optimization (AEO) and generative engine optimization (GEO)
- Measurement of organic search performance and AI search visibility
We work across traditional search and AI platforms such as Google, ChatGPT and Perplexity. Our approach considers how buyers discover information, evaluate options and move toward a purchase.
We use AI-assisted workflows to support research, analysis and delivery, with human editorial judgment and source verification throughout. Recommendations are prioritized by their likely business impact, with reporting that distinguishes measured results from estimates and observations.
Tenpoint Labs helps B2B SaaS and enterprise teams use organic search and content to support qualified pipeline and revenue.
Our work starts with understanding your customers, product and commercial priorities. We combine customer insights, search data and competitor research to identify the topics, pages and technical improvements most relevant to your business.
Our services include:
- SEO audits and technical SEO recommendations
- Keyword research and content strategy
- Content creation, refreshes and optimization
- Internal linking and content structure
- Answer engine optimization (AEO) and generative engine optimization (GEO)
- Measurement of organic search performance and AI search visibility
We work across traditional search and AI platforms such as Google, ChatGPT and Perplexity. Our approach considers how buyers discover information, evaluate options and move toward a purchase.
We use AI-assisted workflows to support research, analysis and delivery, with human editorial judgment and source verification throughout. Recommendations are prioritized by their likely business impact, with reporting that distinguishes measured results from estimates and observations.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
We start with discovery conversations to understand the client’s product, buyers, priorities and constraints. We review available website analytics, search performance, existing content and customer research, then clarify gaps with the client.
Findings become an agreed scope and prioritized roadmap, with assumptions and success measures made explicit.
How do you ensure alignment with client goals and business strategy?
We connect SEO and content priorities to the client’s target customers, commercial goals and sales process. Recommendations consider buyer intent, product relevance, effort and likely business impact.
We agree on success measures and review progress with the client, adjusting priorities as evidence and business needs change.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
Our core services are B2B SEO, content strategy and AI search visibility. We organize delivery around a prioritized roadmap, agreed deliverables and regular reviews, adjusting the work as performance data and client needs change.
How do you keep clients and stakeholders updated on project progress?
We share progress updates covering completed work, upcoming priorities, results and any decisions or access needed from the client. Reporting connects SEO and content performance to agreed business goals, with clear distinctions between measured results and estimates. Review conversations help us resolve blockers and adjust priorities.
How frequently do you hold check-in meetings or status updates?
We agree on the frequency of check-ins and status updates during onboarding, based on the scope and client’s needs. Meetings cover progress, performance, priorities and decisions. Between meetings, we share updates and flag blockers that need attention, supported by reporting through Tenpoint Analytics.
What quality assurance practices do you follow?
Our quality checks combine human editorial review, source verification and client-specific guidance. We check content for factual accuracy, current statistics, working links, search intent and brand voice. SEO reviews assess titles, metadata, headings and internal linking. AI-assisted work receives human review before delivery, and we distinguish verified findings from assumptions or estimates.
How do you identify and manage project risks?
We assess risks during discovery and delivery, including missing data, access delays, technical dependencies, content accuracy and changes in scope. We flag issues early, explain their likely impact and agree on next steps with the client. Source verification, human review and clear approval responsibilities help reduce errors. We revisit priorities when new evidence or business changes affect the plan.
What kind of support or maintenance do you offer after delivery?
Post-delivery support depends on the agreed scope. It may include implementation guidance, content updates, technical SEO reviews and performance monitoring through Tenpoint Analytics. For ongoing engagements, we review results, address emerging issues and recommend improvements as search behavior and business priorities change. We agree on support responsibilities and expectations with the client.