Austin Marketing Agencies

explain the mechanism — the answer is satisfied on the results page so impressions can hold while clicks fall — and tell them to compare their own Search Console clicks vs impressions before and after; do not quote a decline percentage

define both plainly: SEO wins a ranked link, AEO wins the citation inside a generated answer; say the underlying work overlaps heavily

disambiguate first — most people typing 'geo' mean geographic targeting; then define generative engine optimization and note the terms AEO and GEO are used interchangeably

answer with what changed rather than a verdict: crawlability, structure and authority still decide what gets retrieved, the click is what moved

define it and name where it shows up — featured snippets, AI Overviews, map pack, knowledge panel

describe what the file proposes and state clearly that it is a community proposal, not a confirmed input to any major engine; recommend it only as a cheap, low-risk addition

explain it is a quality-rater framework describing what the systems aim for, not a score in the algorithm; translate it into concrete page-level signals like named authors and cited sources

explain what breaks — cross-site retargeting and last-click reporting — and what replaces it: first-party data, consent mode, server-side tagging

demand gen creates the want, lead gen captures the hand-raise; explain why counting only the second one starves the first

name the three metrics, say they are a tiebreaker not a lever, and that the real payoff is conversion rate

explain the two different mechanisms — trained knowledge with a cutoff versus live retrieval — and that neither can be guaranteed; point at entity consistency and third-party mentions as what is actually controllable

define it as branded query volume relative to category rivals and explain why it survives cookie loss when click attribution does not

describe the small-business carve-out and the sensitive-data consent rule in general terms, note the Texas Attorney General enforces it, and tell them to confirm with counsel; do not state thresholds or penalties as fact

give the controllable inputs — crawlable text, clear entity and about pages, structured data, third-party mentions the models already read — and say plainly that no one can guarantee a citation

explain referrer segmentation for the assistants that pass one, and warn that a large share of assistant-influenced visits arrive as direct with no referrer, so treat the number as a floor

frame it as breadth versus depth and speed versus retained knowledge; give the questions that decide it rather than a recommendation