Learn more from members of our team and industry-leading experts.
A practical guide to finding relevant Reddit communities, checking citation potential and taking part in ways that respect their rules.
AI engines can recommend the same brands while citing different websites. Here is how to measure that gap and build a practical cross-engine strategy.
A practical guide to availability, campaign setup, ad formats, measurement and the difference between paid placement and organic AI visibility.
Chartbeat’s 40.2% publisher referral drop is a warning, not a forecast for every brand. Here’s how marketers should respond.
Trace outdated prices and product claims to their source, correct the facts and check whether AI answers change.
A low hallucination score can mean accurate recall, faithful summarisation or cautious guessing. Learn what each benchmark really tests.
A practical, criteria-led comparison of Scrunch and AthenaHQ for enterprise teams choosing an AEO platform.
Use this checklist to capture a harmful AI answer, find its source and coordinate a careful response.
A practical comparison of Google’s two AI search surfaces, with a separate optimisation plan for each.
A practical comparison of free AEO graders, their blind spots and the right way to turn a score into an optimisation plan.
A practical guide to tracking how Gemini answers buyer questions about your brand, and turning what you learn into better visibility.
Build a custom GA4 channel group to identify AI assistant visits, review historic traffic and check whether the setup is working.
A practical guide to what Perplexity data tools can measure, how they collect it, and which option suits your team.
A practical editorial checklist for finding invented claims, misleading citations and inaccurate metadata in AI-assisted drafts.
A practical workflow to detect lost AI citations and update only the passages that need attention.
A practical guide to the prompt limits, model add-ons and operational costs that can push an AI search tool well beyond its headline price.
Customer reviews can help AI shopping tools match products to real buyer needs, but there is no universal review score or volume threshold.
A practical guide to MCP servers for SEO data, AI visibility and safer assistant-led analysis.
A practical framework for packaging white label AEO around measurable work, transparent reporting and sustainable agency margins.
A practical guide to the two commerce protocols that help AI agents find products, build carts and complete purchases.
The best Shopify Catalog decision is rarely all in or all out. Keep discovery if it helps, and control checkout and product access separately.
Connect AI search visibility to qualified traffic and pipeline with a practical framework your leadership team can understand.
A practical comparison of execution style, workflow fit, pricing and trade-offs for marketing engineers building SEO tools and automations.
Turn longer, more specific searches into briefs that answer the whole question, not just its head keyword.