ScalePost vs Scalevise

ScalePost launches About page with team and advisors, announces Awin partnership

ScalePost's about page now lists CEO Ahmed Malik, Head of Partnerships Gregory Love, engineers Matt Rkiouak and Siméon Ferez, and advisors including Siri co-founder Adam Cheyer, former Fast Company CEO Eric Schurenberg, and CNBC founder Tom Rogers. The page also features a press release about a partnership with Awin to expand discovery intelligence.

Awin Expands Discovery Intelligence with AI Visibility

Awin announced on 1 July 2026 a set of platform enhancements and a new partnership to measure and improve brand visibility inside AI-driven discovery experiences. The global marketing-technology company revealed a collaboration with ScalePost and additional collaborations with Peec.ai and Profound to capture first-party AI citation data and link those signals to conversion metrics. Awin is launching platform features including “AI Visibility” and “Smart Search” to show when and how brands appear in AI applications, help publishers understand their contribution to discovery, and speed publisher partner selection via natural-language search. The move responds to rising “zero-click” AI answers in search and aims to give advertisers clearer, first-party measurement of AI-driven discovery across the customer journey.

• Awin announced a partnership with ScalePost to capture first-party AI citation data and improve visibility into AI-driven brand discovery.
• Awin introduced new platform features named AI Visibility and Smart Search to measure brand appearances in AI applications and simplify publisher partner discovery.
• Awin said linking first-party citation data with its conversion signals can raise observed engagement by three- to six-fold.

Awin Expands Discovery Intelligence with ScalePost Partnership

Awin announced a partnership with ScalePost and a set of platform enhancements aimed at measuring and acting on AI-driven brand discovery. The company introduced capabilities named AI Visibility and Smart Search to show when brands are surfaced in AI-driven experiences and to help advertisers find publisher partners using natural-language prompts. ScalePost will act as an additional measurement layer, using first‑party data to record real AI citations. Awin also cited collaborations with Peec.ai and Profound to broaden influence measurement across the customer journey, and claimed that accounting for AI interactions can increase observed engagement by three to six times.

• Awin announced a partnership with ScalePost to improve measurement of AI-driven brand discovery.
• Awin introduced new platform features called AI Visibility and Smart Search to surface AI-driven discovery signals and speed partner discovery.
• ScalePost uses first‑party data to measure real AI citations and will act as an additional measurement layer.

OpenAI Reveals Internal Coding Agents Data Accelerating AI Research

OpenAI has published internal data showing how coding agents are accelerating its AI research. As of mid-August 2026, the median researcher used agents daily, and the organization reached 3.1 agent-workdays per human workday, with top users consuming over $7,000 in tokens daily. The report highlights a shift toward delegating longer-horizon tasks and connects usage with safety measures, including a pause on reinforcement learning training for Astra-class models. OpenAI frames these metrics as evidence of progress toward recursive self-improvement, while reiterating roadmap goals for an automated research intern by September 2026 and an automated AI researcher by March 2028. The release does not announce new public products or pricing but offers lessons for businesses on structuring agent workflows.

• OpenAI reports 3.1 agent-workdays per human workday across its research organization in mid-August 2026.
• Median researcher used coding agents daily as of mid-August 2026.
• 90th percentile user consumed over $7,000 worth of tokens per day.

Claude Speeds SEO Research but Can Create Cloned Pages

An SEO test reported by Will Scott and covered on Search Engine Land shows that Anthropic's Claude can accelerate SEO research, analysis, and draft creation — but granting it authority to publish live pages caused harmful outcomes. Claude auto-created pages (/seo-grader and /content-grader) that reused homepage copy, changed title tags/H1s to target new keywords, and produced cloned URLs, keyword cannibalization, and a batch of pages with zero impressions or clicks. The report also cites a Microsoft observation that Bing's AI may group near-duplicate URLs, complicating how AI interprets clones. The article recommends keeping AI for research and drafting while enforcing human review and publishing controls to prevent duplicate pages and visibility loss.

• In a real-world test described by SEO consultant Will Scott, Claude auto-created new pages that substantially reused homepage content.
• Claude created /seo-grader and /content-grader by cloning homepage copy, then changed title tags and H1s to target new keywords.
• The automated pages caused cloned URLs, keyword cannibalization and at least one batch of pages that recorded zero impressions or clicks.

Figranium's Verified n8n Node Enables Browser Automation

Figranium's integration with n8n has joined the n8n Verified Community Nodes program, providing a documented community node (n8n-nodes-figranium) that connects n8n workflows to a self-hosted Figranium instance. The node supports task, execution, and schedule operations and uses credentials (base URL and API key) to communicate with the self-hosted deployment. The verification aims to improve discoverability and installation within n8n as the rollout completes. The integration is intended for automating website interactions where no suitable API exists (e.g., scraping, extraction, form interactions), allowing browser tasks to be invoked as part of broader automated workflows.

• Figranium’s integration with n8n joined the n8n Verified Community Nodes program.
• The community node is published as n8n-nodes-figranium and connects n8n workflows to a self-hosted Figranium instance.
• The node supports task operations (execute/list), execution operations (list), and schedule operations (list/get/set/delete/describe and scheduler status).