Flag of the program

Answer engine optimization

We engineer the way large language models describe, quote and recommend your brand across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews.

See pricingRead the results

The problem this solves

Buyers now ask a model instead of scanning a results page. If your brand is missing from the answer, the click never happens — and the demand you already earned quietly leaks to whichever competitor the model decides to name.

What you get

  • Answer coverage map: every question in your category, who owns it today, and where you are eligible to win it
  • Prompt panel tracking across ChatGPT, Perplexity, Gemini, Copilot and AI Overviews, measured monthly
  • Citation engineering for passages, tables and statistics that models quote verbatim
  • Entity disambiguation so every model resolves your brand, products and people correctly
  • Model-facing page architecture: answer-first openings, FAQ coverage and comparison tables
How we run it

Answer engine optimization operating rhythm

Every phase produces an artifact you can inspect, and nothing is reported as done without production evidence.

Step 1

Baseline the true demand set: sales calls, search console queries, prompt logs and community questions are all mined for the exact wording buyers use.

Step 2

Score every prompt for citation eligibility, current brand presence and commercial value, then rank the gaps by revenue, not by volume.

Step 3

Ship answer-first content, structured data and corroborating third-party mentions until the model has enough independent evidence to cite you.

Step 4

Re-measure the panel every month and iterate on the prompts where share of answer is still moving.

Measured outcomes

What we report against

  • Share of answer tracked per prompt cluster
  • AI-referred sessions and conversions in analytics
  • Citation counts across answer engines
  • Brand mention accuracy and sentiment inside model answers
No lock-in audit

Start with a free answer engine optimization review

Send the domain and we will benchmark the prompt clusters that matter to your category, then show which of the four layers is blocking citations.

See pricing