Insights Category
57 articles
Public AI search benchmarks for 2026 are not reliable enough to anchor a budget to. Build the AEO/GEO budget around scope and measurement instead: what you are protecting, what you can actually measure, and what would change a content decision. The framework below sizes the work without inventing enterprise survey numbers, and flags where common ‘AI search benchmark’ claims fall apart.
A practical AI visibility audit checklist for turning vague GEO concerns into a page-level fix list, citation-gap map, and measurement plan.
A source-aware Google Ads AI-agent testing framework for validating recommendations before they change tracking, budgets, final URLs, feeds, scripts, or reporting.
A source-aware guide to ChatGPT Ads CPM, CPC, early beta numbers, targeting caveats, and first-test budget planning without fake benchmarks.
On May 5, 2026, OpenAI announced a beta self-serve Ads Manager for ChatGPT with CPC bidding alongside CPM. Treat your first campaign as a controlled test, not a growth claim: prepare the landing page, the offer and the measurement plan, pick CPC or CPM deliberately, keep budgets small, and use OpenAI’s Conversions API or pixel for post-click events. This tutorial walks the workflow without inventing benchmarks.
On June 3, 2026, Google announced Search Generative AI performance reports inside Search Console, covering AI Overviews, AI Mode and Discover AI surfaces. Google is rolling them out to a subset of sites first, and the same data still lives in the overall performance report. The new report shows impressions, pages, countries, devices (Search only) and dates — useful for visibility baselining, not for proving traffic loss.
This GEO risk guide explains why buying AI citations can create search spam risk, how to separate manual-action fear from real policy concerns, and which safer alternatives to use instead.