Stage 1
Start
For teams with a thin blog or no content engine yet.
- Content audit and Hive Map for 2 clusters
- 4 to 6 new articles a month
- Technical SEO basics fixed
- Monthly pipeline report
From$6K/mo
SEO content studio · Portland, OR
Content that compounds.
Wordhive builds topic clusters that earn rankings, AI citations and pipeline, and keeps every article earning long after it's published.
Engagements start at $6K/mo. No ranking guarantees, ever.
Hover a cell to see its cluster.
2.1Mmonthly organic visits across client sitesIllustrative example
+214%median organic traffic growth after 12 monthsIllustrative example
$6K/mowhere engagements start
Content programs for teams in fintech, B2B SaaS and e-commerce
Why most blogs stall
A pile of posts decays. A hive keeps producing.
Most content programs publish whatever the keyword tool suggests, then move on. Traffic spikes, flattens and slides. We plan the library as one connected system and keep tending it.
The old way
- Chase high-volume keywords one at a time
- Report on rankings and pageviews
- Generalist writers paraphrasing the top 10 results
- Publish and forget; posts quietly lose traffic
- Scale output with mass AI drafts
- Strategy lives in the agency's head and leaves with them
The Wordhive way
- Plan whole topic clusters on a Hive Map, tied to revenue
- Report on leads, pipeline and AI citations
- Subject-matter writers with first-hand experience
- Refresh and consolidate on a schedule so articles keep earning
- Use AI for research support, with human writing and editing
- You own the map, the briefs and the style guide
The Hive Map method
Every article has a job in its cluster.
A Hive Map is the plan behind your library. Each cluster has a pillar guide at the center, supporting articles around it, comparison pages for buyers, and refreshed older posts pulled into the structure. Internal links follow the map, so authority flows where it should.
Explore an interactive Hive MapPillar
The complete guide that owns the head topic. Every support article links up to it.
Support
Answers one specific question in depth, linking to the pillar and to its siblings.
Comparison
"X vs Y" and "best tools" pages that meet buyers when they are ready to choose.
Refresh
Existing posts we update, merge or redirect so old work supports the cluster.
Engagements by stage
Start, grow, then scale.
Programs move through three stages. Most clients start small, prove the model on one or two clusters and expand from there.
Stage 2
Grow
For libraries with traffic that has flattened or started to slip.
- Hive Map for 4 to 6 clusters
- 8 to 10 articles plus refreshes a month
- Comparison and bottom-funnel pages
- AI search visibility tracking
From$12K/mo
Stage 3
Scale
For teams where organic is already a primary pipeline channel.
- Full library ownership and governance
- Refresh sprints across hundreds of URLs
- Expert reviewers for regulated topics
- Quarterly strategy reviews with leadership
From$20K/mo
Why it compounds
Paid traffic stops when spend stops. A library keeps working.
Each cluster makes the next one easier to rank. Refreshes win back decaying articles. The curve bends upward in year two, which is why we plan in quarters and report in months.
- Months 1 to 4: research, map, first clusters live
- Months 5 to 9: rankings mature, first refresh cycle
- Months 10 and on: new clusters build on earned authority
Organic sessions, content programPaid sessions, fixed budgetIllustrative data
AI search visibility
Be the source the answer cites.
Buyers now ask AI assistants before they search. Assistants tend to cite pages that state clear facts, show real expertise and sit inside a well-linked topic. That is how we build clusters anyway.
- Answer-first structure with plain definitions and numbers
- Named authors, reviewers and cited sources on every article
- Citation tracking across major assistants, reported monthly
What's the cheapest way to get paid faster on unpaid invoices?
Answer
For most small B2B companies, invoice financing costs less than factoring because you keep control of collections 1. Fees usually run a small percentage of the invoice per month 2.
Compare advance rate, fee structure and whether the lender contacts your customers before you sign 1.
1
Invoice financing: the complete guideclienta.example · pillar article
Your client2
Small business lending overviewpublicsource.example
Selected work
Measured in pipeline, not pageviews.
Demonstration programs showing the structure of a content engagement. Figures are illustrative.
All case studiesIllustrative programs: sample figures and client profiles, not verified client results.
Fintech
Invoice-financing platform
Blog traffic had been flat for two years.+286%organic traffic$1.4Minfluenced pipelineE-commerceOutdoor gear retailer
Category pages were not ranking and the brand relied heavily on paid search.+71%organic revenue1,900keywords in top 10B2B SaaSSecurity compliance software
Customer acquisition cost from paid channels kept rising.+420demo requests/yr$96cost per demoHow long until we see results?
Most clients see measurable growth within four to six months. The biggest gains usually come in year two, once clusters are complete and the first refresh cycles land.
Who writes the content?
Subject-matter writers with real experience in your field, edited by our in-house team. For finance and health topics, a qualified reviewer signs off before publishing.
Do you guarantee rankings?
No one honest can. We commit to a plan, a publishing cadence and transparent reporting on leads, pipeline and citations.
Do you use AI to write?
We use AI tools for research support and quality checks. Articles are written and edited by people. Our AI Use Policy spells out where and how.
Free content audit
Find out which articles are earning and which are decaying.
Send us your site. Within five business days you get a short audit: decaying URLs, cluster gaps and three moves we'd make first.