Answer engine optimization

How to get cited by Perplexity using OpenClaw

Perplexity 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 Perplexity 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 Perplexity actually decides who to name

Perplexity searches for essentially every question and shows its sources inline. That makes it the most transparent engine to optimise for, and the fastest to give feedback: the citations are right there, numbered, and you can see exactly which pages it read to answer your query.

What moves the number on Perplexity

1. 1Look at the numbered citations on the answer for your target question. That list IS your target list. Getting onto those specific pages, or out-answering them, is the entire job - and unlike the other engines, Perplexity shows you the list for free.
2. 2Write for extraction: a direct answer up top, then short sections with clear headers. Perplexity quotes tightly and attributes what it quotes.
3. 3Keep pages fresh. Perplexity leans on recency more visibly than the others; a 2023 comparison page loses to a 2026 one that says the same thing.

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

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.