AI Search Monitoring and Ongoing Optimization

Citation rate is the count of prompts naming your business divided by the count of prompts run, held per assistant and per week. An answer surface is the place a generated answer appears: an AI Overviews panel above the organic results, a chat reply, or the cited-source list printed beneath either one. Monitoring reads three values from every answer: the provider named first, the competing providers named alongside it, and the domains the assistant cited as sources. Position and citation move independently — an assistant names a competitor first and still cites your domain beneath the answer. The log keeps position and citation apart rather than collapsing them into a single rank.

Weekly: AI Overviews, ChatGPT, Perplexity, Gemini. Monthly: Claude, Grok, Meta AI. The four weekly assistants read from indexes that refresh inside a week, so a repair made now appears in the next run. The three monthly assistants retrieve through slower third-party layers, and weekly runs against them return the same answer rather than new signal. Grok and Meta AI are reported, never promised: presence on X drives Grok, and Meta AI is the least controllable surface in the set.

A prompt set is the fixed list of buying questions that runs against every assistant on the cadence above, written in the wording a buyer uses rather than the wording a marketer prefers. Three properties are held constant for the life of an engagement: the exact characters of each prompt, the assistant each prompt runs against, and the position of the prompt in the run order. Freezing those properties makes every week-to-week difference attributable to the website rather than to the question. A prompt that needs different wording opens a new series with its own start date, and the original series continues unbroken beside it. Every figure in the report names the series it belongs to, so a rising citation rate is never the product of an easier question.

Five items arrive in every weekly report: citation log, displacement record, change note, share of voice, and movement summary.

• Citation logevery prompt, the assistant it ran against, and the domains that answer cited.
• Displacement recordthe providers named in place of your business, by assistant and by prompt.
• Change notethe edit made to the site that week, named with the URL it was made on.
• Share of voiceyour named appearances as a percentage of all provider appearances across the prompt set.
• Movement summarythe prompts that changed state since the previous week, named individually.

Read the sample as shape, not as result: in week 12 of this illustration, ChatGPT named the business on 4 of 12 prompts, against 1 of 12 in week 1. Your log carries your prompts and no figure until the first run completes.

Those figures come from Koray Tuğberk Gübür's documented calculator case study, in which repositioning one component on a page produced the click and impression movement above while the ratio between them dropped. A dashboard watching click-through rate alone reads that result as a regression and the account as failing. Answer engines widen the same gap further, because an answer that cites your business resolves the question inside the result. Three figures carry the scoreboard on this retainer: impressions, citation rate and booked calls. Click-through rate stays on the report as context, and the expectation is set in writing before the first run rather than explained after the first drop.