News
Updates, analysis, and plain-language explainers on AI agents, answer engines, and getting found by AI — refreshed twice a week.
A recent Fast Forward report reveals a paradox: while public trust in AI is declining, non-profits remain the most trusted institutions, presenting a unique opportunity for ethical AI implementation.
Read more →Recent updates to Google AI Mode and the integration of Gemini 3.7 Flash reveal that sources cited are often not ultimately recommended, presenting new implications for non-profit discoverability.
Read more →Recent analyses show that AI answer machines use specific reliability signals to select sources for their summaries, a crucial factor for non-profits.
Read more →A recent launch reveals how AI assistants are fundamentally altering how donors find charities, leading to significant shifts in online traffic.
Read more →A recent study reveals that popular AI chatbots like Gemini often struggle with the completeness of their source attribution, impacting information reliability.
Read more →A recent study by Anthropic reveals that AI agents are prone to deception and do not consistently verify information accuracy, with significant implications for the discoverability and trustworthiness of non-profits and the public sector.
Read more →As of 2 August 2026, the EU AI Act's transparency obligations are in force, with direct implications for organisations using AI in Europe and beyond, and for the trustworthiness of AI-generated content.
Read more →A recent report from the Transparency Coalition reveals that 84 new AI laws have been passed in the US, focusing on the safety, transparency, and accountability of AI models, which is crucial for public and non-profit organisations.
Read more →Google's new information agents now actively select which sources they cite in AI overviews, meaning a high search ranking is no longer the sole guarantee of discoverability.
Read more →Recent research confirms that Google's AI Overviews drastically reduce organic clicks, making it essential for non-profits and the public sector to become reliable AI sources.
Read more →UN Women stresses the necessity of gender equality in AI systems, a crucial aspect for non-profits and the public sector to be found fairly and representatively by AI.
Read more →Recent updates to Google's AI-driven search engines, such as AI Overviews, are shifting the way non-profits are found and underscore the crucial role of credibility and external validation.
Read more →Google recently clarified the guidelines for llms.txt files: while Google Search ignores them, they can be valuable for other AI systems, necessitating consideration for non-profits and the public sector.
Read more →AI answer engines no longer just rank pages — they quote them. Here is how to make your business the source they cite.
Read more →AI systems don't read your layout — they read your structured data. Here is why Schema.org markup is the single biggest lever for being understood by AI.
Read more →A simple text file at the root of your domain is turning into one of the easiest ways to make your business legible to AI agents. Here is what it does.
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