Answer engine optimization

How to get cited by Gemini using OpenClaw

Gemini does not recall your brand from memory. It retrieves a handful of pages and writes its answer from them, so getting cited means getting onto those pages, in a form it can lift. With OpenClaw, the workflow is: find the buyer questions where Gemini names a competitor instead of you, look at which URLs it keeps citing for those questions, and publish a page that out-answers them - leading with the answer, structured as a table or list, and honest about where competitors genuinely win. Then re-measure a few weeks later, because publishing without re-measuring is guessing.

How Gemini actually decides who to name

Gemini grounds its answers in Google Search results. That makes it the engine where classic SEO still carries the most weight - if you are already surfacing in Google for the query, you are in the candidate set Gemini writes from. The grounding step then decides which of those candidates it actually names.

What moves the number on Gemini

  1. 1Rank in Google for the question first. Gemini's grounding pulls from the same index, so traditional SEO is not dead here - it is the entry ticket to the room where the AI answer is written.
  2. 2Structure the page so the answer is liftable: headers that match the question, a summary that stands alone, schema markup where it fits. Grounding rewards pages a machine can parse confidently.
  3. 3Earn mentions on the sites Google already trusts for the topic. Grounding disproportionately names entities that appear across multiple retrieved sources, so being named on three pages beats owning one.

Doing it with OpenClaw

An open agent runtime. The choice when you want an agent to run the loop end to end and hand you a page, unattended.

  1. 1Give the agent the Fulcru MCP server: `fulcru_gaps` returns the questions where AI names a competitor instead of you, worst first, each with the id needed to act on it.
  2. 2Have the agent call `fulcru_write_page` on the worst gap. It gets back a full article draft grounded in the sources those engines actually cite for that question - not the model's invention of your market.
  3. 3Keep a human in the publish step. The agent should hand you the draft; you should read it before it goes on your domain. A page that overclaims is a liability that outlives the automation that wrote it.
  4. 4After publishing, the agent calls `fulcru_publish_page` with the live URL. That snapshots the current mention rate as the baseline, and every later tracking pass is measured against the moment the page went live.

What this will not do

On Gemini

Gemini's grounded citations often point through Google redirect URLs rather than directly at your page, which makes attribution genuinely hard to measure by hand. Your analytics will under-report AI-driven visits, so do not use referral traffic as your scoreboard here.

With OpenClaw

Do not let an agent publish directly to your production site unsupervised. The failure mode is not a typo, it is a confidently-worded claim you cannot support, sitting on your domain under your name.

The part everyone skips

Re-measuring. A published page that you never check is a belief, not a result. Run the same question set again a few weeks later and compare: were you named in 2 of 10 answers before, and 5 of 10 after? That number is the only thing that tells you the work landed - and when it does not move, that is information too. It usually means the answer set is dominated by a source you have not gotten onto yet.

Everything above works by hand, for free. If you want it measured continuously - the same questions run against Gemini and the other engines on a schedule, every answer recorded, and the before/after delta tracked for each page you publish - Fulcru does that, and the first visibility report is free with no card.