Measure a website fix with a repeatable before-and-after test
A useful before-and-after comparison repeats the same task under comparable conditions. A changed score or a nicer screenshot does not establish that the obstacle disappeared.
Keep search observations, citations, task outcomes, and business results distinct. Use comparable inputs and preserve failed attempts so a good screenshot does not become a misleading conclusion.
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A useful before-and-after comparison repeats the same task under comparable conditions. A changed score or a nicer screenshot does not establish that the obstacle disappeared.
A screenshot of one favorable AI answer leaves out every attempt that failed. Use a fixed question set and save the full result each time.
An AI search baseline needs a fixed sample before it needs a headline metric. Decide which questions and conditions you will repeat so later observations have a meaningful comparison.
Measure task completion against an explicit outcome, such as finding a delivered price or submitting an authorized inquiry. A page load, a click, and a finished task are different events.
An agent-readiness score summarizes defined checks under a particular assessment method. A conversion rate measures observed outcomes among a defined set of visits. One should not be presented as the other.
Content decay happens when a once-useful answer no longer matches the product, policy, or interface. Review the facts that can change a customer’s decision before polishing wording or adding more posts.
Two pages can compete for attention when they offer substantially the same answer to the same audience. Start by comparing their purpose and content before deciding whether to merge them.
Prioritize unanswered customer questions with reliable evidence and a useful business connection. A large keyword list is less valuable than knowing which uncertainty prevents a reader from making progress.
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Agent Friendly publishes these guides with AI assistance, using the product’s documented behavior and linked primary sources. Practical checks are our editorial suggestions. Examples are illustrative, not customer case studies. Each guide links its evidence and shows its publication and revision dates.
We distinguish discovery, citations, task completion, and payments. We do not claim measured search demand, ranking gains, or AI citations without a recorded baseline. Found a mistake? Send the exact page and correction.