Diaflow: 4.2× Monthly Visits From AI Assistants
Diaflow combined AI agents, workflow automation, data, and enterprise capabilities within one platform. Freeways Agency clarified how those products connected, then expanded GEO and SEO around high-intent use cases to help buyers discover Diaflow through specific business problems.
- MONTHLY VISITS FROM AI ASSISTANTS ¹4.2×520 → 2,184 visits per month
- AI SHARE OF ALL SESSIONS ¹5.4% → 12.3%
Visits from ChatGPT, Perplexity, Gemini, Copilot and Claude grew 4.2× in 31 days, reaching 12.3% of all Diaflow website traffic (GA4, December 2025 – February 2026).
¹ GA4 sessions from AI assistant referrers, whole Diaflow website. December 15, 2025 – January 14, 2026 vs January 16 – February 15, 2026. See How we attributed AI traffic.
A Powerful Multi-Product Platform Can Create Too Many Stories at Once
Diaflow offered AI agents, workflow automation, data infrastructure, and multiple enterprise capabilities. Each product could solve meaningful problems, but together they created several overlapping ways to describe what Diaflow actually was.
The challenge was making those capabilities reinforce one clear platform story while still giving different business teams relevant reasons to enter and evaluate the product.
Strong Capabilities Were Not Yet Connected to Clear Buying Intent
Diaflow had multiple products and use cases, but buyers rarely search for an entire platform architecture. They typically start with a specific workflow, automation challenge, or business outcome they need to solve.
Buyers were researching questions such as:
- “What are the best AI agent platforms for business?”
- “Which AI platform can automate complex workflows?”
- “What is the best enterprise AI automation platform?”
The opportunity was to connect these high-intent problems with the right Diaflow capabilities. The strategy therefore focused on building clearer relationships between AI agents, workflow automation, enterprise needs, and commercial search intent.
Turn Product Complexity Into Structured Discovery Paths
Freeways organized Diaflow around two clearer positioning pillars: AI agents and workflow automation. Supporting products and features were then connected to these pillars through specific business problems and enterprise use cases.
SEO and GEO were structured around how buyers actually evaluate automation solutions, from discovering a workflow problem to comparing platforms and assessing enterprise capabilities.
This allowed Diaflow to maintain a broad product ecosystem while giving each high-intent buyer a more relevant path into the platform.
We Connected Every Capability to a Clearer Buyer Need
The work focused on creating stronger relationships between Diaflow’s products, categories, and commercial use cases. AI agents and workflow automation became the core structure, while supporting content addressed specific teams, processes, and enterprise requirements.
- Diaflow
- AI Agents
- Workflow Automation
- Enterprise AI
- Business Use Cases
- Automation Workflows
Priority pages were structured around these relationships so each product and use case strengthened the same platform narrative. Search, content, and authority signals were then aligned with high-intent research and evaluation journeys.
- Positioned AI agents and workflow automation as core category pillars
- Connected product capabilities with high-intent buyer problems
- Expanded enterprise and use-case content
- Strengthened product, category, and entity relationships
- Improved AI-readable content structure and technical indexability
- Expanded comparison, recommendation, and commercial prompt coverage
- Strengthened citations and external authority signals
- Tracked AI-driven discovery and acquisition growth
AI Assistants Grew to 12.3% of Diaflow's Sessions
Diaflow developed a clearer product and category structure that made its capabilities easier to discover and evaluate. Buyers could enter through specific automation problems while still understanding how those solutions connected to the broader Diaflow platform.
From January 16 to February 15, 2026, sessions from AI assistants made up 12.3% of all Diaflow website sessions, up from 5.4% in the previous 31 days.
AI Search Became a Stronger Source of High-Intent Discovery
AI Search created an additional acquisition path for buyers researching agents, automation workflows, and enterprise AI platforms. Specific business questions could now connect more directly with relevant Diaflow products and use cases.
- Buyer describes an automation problem
- AI connects it with a relevant Diaflow capability
- Buyer enters through a focused use-case page
- Broader platform supports deeper evaluation
AI referral sessions rose from 520 to 2,184 (4.2×) between December 15, 2025 – January 14, 2026 and January 16 – February 15, 2026.
What Counts as AI Referral Traffic
AI referral sessions are GA4 sessions on the whole Diaflow website whose session source is one of these AI assistant domains: chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, claude.ai.
| Baseline | Comparison | |
|---|---|---|
| Period | Dec 15, 2025 – Jan 14, 2026 | Jan 16 – Feb 15, 2026 |
| Days | 31 | 31 |
| AI referral sessions | 520 | 2,184 |
| All sessions | 9,630 | 17,756 |
| AI share of sessions | 5.4% | 12.3% |
AI referral sessions grew 4.2× (+320%), while all other sessions grew from 9,110 to 15,572 (+71%).
Limits:
- Clicks from Google AI Overviews arrive as google / organic and are not included.
- Some AI apps pass no referrer, so those visits show as direct. The figure is a floor, not a total.
- GA4 bot filtering and internal-traffic filters were checked before export.
- Other activity in the same period: SEO, product content updates and marketing. Growth in AI referrals reflects all of this, not GEO alone.
One Platform Needs Multiple Clear Entry Points
For broad AI platforms, growth comes from connecting the same core product to specific buyer problems, use cases, and high-intent discovery paths.