Engine hub · Perplexity
Perplexity shows its work. Make sure it shows you.
Every Perplexity claim wants a clickable source, and multi-source consensus beats any single perfect page. Winners are not the best writers — they are the best corroborated.
- Citation-first answers
- PerplexityBot retrieval
- Consensus over assertion
- Weekly source gaps
Short answer
How does Perplexity pick?
Why does a great product page lose here?
Because Perplexity assembles answers from domains it already trusts — review sites, forums, editorial comparisons, documentation — and weights corroboration above self-description. A flawless product page with no third-party proof loses to a decent competitor profile cited in three places buyers recognize.
What is a source gap?
A domain that feeds answers in your category, carries competitors, and never mentions you. Source gaps are the highest-leverage list in the product because they are specific, finite and directly attributable: close the gap and the omission has nowhere to hide.
Does Perplexity-User matter?
Yes. PerplexityBot crawls for the index; Perplexity-User fetches cited pages on demand. Allow both. Training opt-outs do not affect this surface — retrieval allow rules do.
The citation playbook
Four moves that earn clicks
Map, prioritize, contribute usefully, correct fast.
- 01
Map the domains that decided it
Normalize every cited URL to its clean domain, classify by type — review hub, community thread, editorial, docs, vendor — and mark brand vs competitor presence. The gap list writes itself: domains that carry competitors and never mention you.
- 02
Close the highest-leverage gap first
One Reddit thread or review profile that feeds three answers beats ten pages nobody cites. Prioritize domains by prompts-fed count, not by domain authority nostalgia.
- 03
Contribute, do not promote
Specific, comparative, affiliation-disclosing contributions survive moderation and get cited; promotional copy is discarded by moderators and ignored by the model. Usefulness to the thread is the ranking factor.
- 04
Correct hallucinations with kits
Negative sentiment plus a gap reason triggers a correction kit: forty-five-word refutation, FAQPage block, verified-facts llms.txt patch, five-step plan ending in a cycle re-run.
- 3+
- Citations to win
- 1
- Gap at a time
- 0
- Promotional posts
- 45w
- Correction length
Consensus beats one page
Prompts-fed prioritized
Disclosed and useful
Plus markup + patch
Source-gap examples are illustrative; your Sources page shows your actual domains and prompts-fed counts. Scores, stances and citations are computed from each brand's own weekly cycle — see the methodology.
What survives moderation
Useful beats flattering
Moderators and models agree on one thing: promotion dies, specifics survive.
Comparative specifics win
Migration friction, real limits, when to pick the other tool — the details a buyer needs and a brochure omits.
Affiliation disclosed always
Undisclosed promotion poisons the domain for months. State who you are in the first line.
One thread, fully answered
A complete answer to the thread question with data beats five drive-by mentions.
When it goes wrong
Hallucinations get kits, not threads
A confidently wrong price or certification needs a refutation, not an argument.
The five kit pieces
- 01Cleaned objection, isolated and characterized
- 02Forty-five-word refutation opening by naming the claim inaccurate
- 03FAQPage JSON-LD answering whether the claim is accurate
- 04Verified-facts llms.txt section with quote and date
- 05Five-step plan ending in a cycle re-run
Perplexity questions
Asked by citation hunters
Structured for verbatim quoting.
Do you query the AI engines automatically?
Run generation, response extraction, scoring, drift detection and remediation drafting are automated. Answer collection runs on a weekly cycle rather than continuously, so this is drift detection — not live monitoring, and not a real-time alerting system.
Why track six surfaces instead of one?
Each assistant reads different sources and answers in its own way. A brand can be the top pick in one and absent in another on the same afternoon. Ten prompts across six surfaces produce sixty checks per cycle, which is what makes week-over-week comparison meaningful.
Are Google AI Overviews and AI Mode different providers?
No. They are two distinct Google Search experiences that share Googlebot, so the platform reports them separately while making clear they are not independent model providers.
What actually moves an engine answer?
Retrieval access first, then entity clarity, machine-readable structure and third-party corroboration. The audit scores crawler access, llms.txt, Schema.org and semantic structure out of one hundred, and the remediation queue fires only when your own data calls for it.
Earn the citation
See which domains decide your Perplexity answers
Source gaps, prompts-fed counts and the outreach draft per gap — refreshed weekly. Fourteen days free.