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Be the answer AI gives your buyers.

Generative engine optimization for brands that want to be recommended by ChatGPT, Perplexity, Gemini and Google AI Overviews. Content, Reddit, YouTube and PR, run as one program.

What the program covers

  • Prompt and citation tracking

    The questions your buyers ask AI assistants, monitored across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews.

  • Citation-ready content

    Pages and articles structured so models can retrieve them, quote them and attribute them to you.

  • Reddit

    Subreddit research, disclosed brand participation and monitoring of the threads that show up in AI answers.

  • YouTube

    Titles, descriptions, chapters and transcripts set up so models can find and cite your videos.

  • PR and reviews

    Placements, review profiles and listicles chosen for the sources models actually pull from, not domain authority alone.

Where we look before we change anything.

  1. Your buyers’ prompts

    01

    The real questions people ask before they choose a vendor in your category.

  2. Current citations

    02

    Which sources the models cite today, for you and for competitors.

  3. Your site

    03

    Structure, crawlability, schema and llms.txt, checked for AI crawlers.

  4. Third-party footprint

    04

    Reddit threads, reviews, press and directories that mention you, or should.

  5. Referral data

    05

    Traffic and leads that arrive from AI assistants, tied back to revenue.

  6. Content operation

    06

    How your team publishes, so the program fits it instead of fighting it.

Your buyers ask AI before they ask you.

When someone asks an assistant for the best tool, agency or provider in your category, the answer comes from the sources the model trusts. Ads do not apply, and a page-one Google ranking does not guarantee a mention.

GEO is how you earn that mention. It means being present, accurately, in the places models read: your own site, Reddit, YouTube, review platforms and the press.

How a program runs

  1. Baseline. We track your category prompts and record who gets cited today, and from which sources.
  2. Fix the site. Crawl access for AI bots, page structure, schema and an llms.txt file.
  3. Close the source gaps. Content, Reddit, YouTube and PR work aimed at the sources models already cite for your prompts.
  4. Report. Citation share, mentions and AI referral traffic, every month, against the baseline.

Further reading

Our most-read guides on the channels behind AI citations: how to use Reddit for GEO, how to use YouTube for GEO, and whether domain authority still matters. To size the opportunity, try the LLM ROI calculator.

+38%

LLM citation rate in 12 months

Alessa

Alessa went from being cited in 27% of tracked AI answers about their compliance category to 46%.

Read the case study →

Questions, answered.

01

What is generative engine optimization?

GEO is the work of getting your brand mentioned and cited in answers from AI assistants like ChatGPT, Perplexity, Gemini and Google AI Overviews. It overlaps with SEO, but the sources that matter are different: models lean heavily on Reddit, YouTube, reviews, press and well-structured pages.

02

How do you measure GEO?

We track a set of high-intent prompts for your category across the major assistants and record how often you are mentioned and cited, against competitors. We pair that with referral traffic and leads from AI sources.

03

How long until we see results?

Changes to your own site can show up in AI search answers within weeks, because those answers pull from live web results. Shifts that depend on third-party sources, like Reddit or press, usually take a few months to build.

04

Do you still offer GEO on its own?

Yes. GEO can run as a standalone program, and it pairs naturally with a content system, since everything the system writes is built to be cited.

Built for one brand. Yours.

Every engagement starts with a 30-minute call with a founder. You get a straight answer on fit, scope and price before anything is signed.

Request an introduction