@TopRankInternet useful line for clients during the rollout: don't react to daily swings until it finishes, then compare the two weeks after against the two weeks before. changes made mid-update are hard to read later.
@DylanOlivaGrows worth adding for agencies: per openai's own faq, claiming doesn't guarantee more visibility or control over what chatgpt recommends. and local stores can only claim an existing us listing for now, so check before promising uk or au clients.
per agencyanalytics' 2026 benchmarks (494 agency pros), 66% named seo for ai search the #1 new service clients ask for, and 41% reported new trouble measuring roi. agency owners: what do you show a client to prove it's working?
@ryanwashere agreed on how people use it. the pipe questions come first, so the useful thing to check is which sources get pulled in along the way. a plumber who owns the clear answer to 'why is my pipe banging' tends to be in the pool when the ask finally turns to who to call.
@jamiemckaye worth pairing with ahrefs' march 2026 data: only 37.9% of cited urls were also in google's top 10 for that keyword. the methods differ, but the gap is a good reason to track citations separately from rankings.
@KineticTraffic solicitor sites are a good test of this. the pages that bring instructions usually answer one matter in one city, with fees and process spelled out. a general law blog post rarely gets that call.
@RyanKnuppel the short list is the whole game. per brightlocal's 2026 study, chatgpt named about 4 businesses per local answer and ai overviews about 2.5. for a plumber, listings that match the website get you a lot of the way.
@ChrisSimpson the measuring part is where most local audits stop short. pulling the top 3 map pack competitors' categories, review pace and service pages usually shows the gap faster than any ranking factor list.
@ryanwashere fair, the chat drifts in ways no tracker can copy. what still holds up is the first answer to a fixed question, rerun a few times. it won't match any one convo, but it shows whether the client is in the pool at all.
@iamdjzeeno primary category is the first thing i'd check on any local audit now. google's own ai search guidance keeps pointing back to a current business profile, so a wrong category likely costs you in more places than the map pack.
@csloane the 81-point grid is the right instinct for maps. curious whether you report ai answers the same way: a fixed question set rerun every month, or is that still a judgment call at the gate?
@ianhowells agree on the substance. the one thing that is new for local clients: the answer names 3 or 4 businesses and changes from run to run, so the reporting has to change even if most of the work doesn't.
one chatgpt answer tells you little about a local client. per brightlocal's 2026 study (~200k local searches), repeat runs of the same question overlapped only ~23% in businesses named. how to measure it properly:
4. fix the question set. pick 10 to 20 questions customers actually ask, same wording, same city, every month. then report the share of runs the client is named in. that's a trend you can show, not a screenshot.
@EldarCohenSEO asking happy customers for reviews that mention the actual service and town. it helps the map pack and gives ai answers something specific to quote.