Be the source the answer cites.
Buyers now ask ChatGPT, Perplexity, Google AI Overviews and Claude before they ask a vendor. The engine answers with one synthesis and a handful of cited sources. Being one of those sources is a go-to-market outcome, and it has to be designed for like any other.
This work was previously offered as Answer Engine Consulting. It continues here as one discipline inside GTM Architecture, with the same founder and the same method. The 98-page research library stays live at its original address.
What earns a citation now
- A source worth quoting: claims specific enough to lift verbatim, with the method behind each number published so a model can attribute it
- One entity, everywhere: the same name, description, founder and links across your site, LinkedIn, review platforms and directories, tied together with Organization schema
- Presence where retrieval happens: reviews, community answers, partner pages and listings in the third-party sources each engine actually cites for your buyers’ prompts
- Measurement as share of citation: a fixed prompt set, run per engine on a schedule, recording which sources are cited in every answer
- Clean markup, JSON-LD and llms.txt, treated as the entry fee rather than the edge
Three fixed-scope packages, priced by the page
Starter is $3,000 one-time for five pages and functions as the pilot: prompt inventory, citation audit, five source pages built to be quoted, and a baseline share-of-citation report. Growth is $5,000 one-time for up to fifteen pages, adding cluster-level internal linking, competitive citation analysis and an entity consistency pass. Authority is $8,000 per month for thirty pages a month with ongoing third-party presence work and monthly prompt-level reporting.
Every engagement starts with the free AEO visibility report: your top buyer prompts run across each engine, showing where you are cited, where competitors are, and which gaps are winnable. Full package detail is on the pricing page.
Inside the wider model, a citation is an outcome the system should detect and learn from. Which prompts you are cited for, and which you are not, is a state of your market that the rest of the architecture can act on.