Alongside it, the first rewritten pages. Not a volume of new content, but your most commercially important existing pages restructured to answer directly and to carry specifics. You should be asked to confirm figures, since nobody outside your business can verify a lead time or a price range.
A prompt set built from internal vocabulary measures how visible you are to people who already talk like you, which is a group that mostly consists of your own staff. It reliably produces flattering results and no useful information.
Where the Distinction Does Matter One place, and it is worth being alert to. Read broadly, answer engine optimization includes surfaces that are not generative at all, such as featured snippets and structured result features.
The Types That Rarely Earn Their Keep Elaborate breadcrumb hierarchies, speakable markup, deeply nested item lists and most of the specialised types outside their intended vertical produce little observable difference in how a brand is understood or recommended.
Anything a client cannot argue with is not a report. If you cannot open the document, disagree with a conclusion and point at the evidence that contradicts it, you have been sent a reassurance rather than an analysis.
Weight toward the commercial tiers. Roughly a third on buying intent, a quarter on evaluation, a quarter on problem framing and the remainder split between definitional and branded is a reasonable starting distribution.
Where to Get Real Language Four sources, all of which you already own. Sales call notes, where prospects describe their problem before anyone corrects their terminology. Support tickets, where customers describe things going wrong in their own words.
One thing to establish in week one is where everything lives. The prompt set, the baseline archive, the raw answers and the correction log should sit somewhere you control from the beginning rather than in the agency's systems. Retrieving them later is a negotiation. Having them from the start is an administrative decision nobody objects to at the outset.
The practical response to that uncertainty is to work on the things that are robust to it. Accessible pages, coherent identity, quotable writing and honest third party coverage have helped under every configuration observed so far, and they are the parts you would want anyway. an ai seo agency that gets you cited
What Honest Reporting Contains The prompt set, versioned and unchanged since last month. The raw answers, kept in full rather than summarised. Which competitors were named. Which sources were cited. What work was done. What moved, and the specific claim about which work caused it.
How to Run the Ninety Day Review Ask three questions. Can you show me the prompt set is unchanged. Can you show me the raw answers. What specifically did you do, and which of the changes do you believe caused which movement.
Direct Answers Beat Positioning When a model composes a recommendation it needs sentences it can attribute. Positioning language supplies none. A paragraph about being a trusted leader committed to excellence contains no attachable claim, so it is passed over in favour of a competitor who wrote down their turnaround time.
This matters more than any subtlety about model training. It means recommendations are built largely from pages that exist right now, which is why a page published this month can influence an answer this month, and why a brand absent from the retrievable web is absent from the answer regardless of how well known it is offline.
The emphasis is on being included in a generated response, whether or not you are cited by name and whether or not it produces a click. The term appeared in academic work before agencies adopted it, which gives it slightly firmer footing than the alternatives.
Some practitioners still use it that way, which makes it a superset of the newer work. Others use it as a synonym for the generative work specifically. Both usages are in circulation, which is why asking somebody what they mean by it is a reasonable question rather than a pedantic one.
If the baseline exists, access problems were found and fixed, listings were corrected with names attached, and the source list has begun to move, the engagement is on track even if mention rate has not shifted. If none of those happened, the next ninety days will not be different from the first. an ai seo agency that gets you cited
What to Do About llms.txt and Similar Files Proposals for machine readable files aimed specifically at language model consumers appear periodically. Adoption is inconsistent and support varies by provider, so treat these as low cost and speculative rather than as a requirement.
The prompt set is the instrument, and almost every weak measurement programme in this field has a weak prompt set at the bottom of it. Get this wrong and everything downstream measures the wrong thing with great precision.
That emphasis is worth watching, since retrieval is where most current influence actually lies. A proposal built primarily on getting into training data is describing a slower and far less controllable mechanism than one built on being retrievable now.