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Get cited by ChatGPT, Perplexity, and Claude

GEO and AEO on autopilot. Miniloop tracks where AI engines cite your brand, finds the source content behind the answers, and runs the workflows that put you in the answer.

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Every part of GEO and AEO. Automated.

Miniloop runs the full loop. Track where AI engines cite you, find the source content behind those citations, generate the assets and conversations that earn the next mention.

AI engine tracking

Run your top buyer prompts through ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews on a schedule. See exactly where you appear and where you do not.

Citation source mapping

AI answers are built from sources. Miniloop pulls every URL the model cited, clusters them by domain and content type, and tells you which sources matter most for your category.

Community thread surfacing

Reddit, Quora, Hacker News, and forum threads drive a huge share of AI citations. Miniloop surfaces high-relevance threads in your space, scored by citation likelihood and engagement.

Share of voice analysis

Track how often your brand is mentioned in AI answers compared to competitors. Watch the trend, catch declines early, and see which prompts you are losing on.

Citation-worthy content

Generate the comparison pages, listicles, and reference articles that AI models cite from. Built around the prompts you are losing, with the structure and entities AI engines look for.

Sentiment and accuracy alerts

Get alerted when AI engines say something wrong about your product. Track sentiment over time. Find and fix the source content driving the bad answer.

Start automating GEO and AEO

Search is moving. Your strategy should too.

Buyers ask ChatGPT, Perplexity, Claude, and Gemini before they ever open Google. AI engines do not return blue links. They return one answer with a few citations. If you are not in those citations, you are invisible. GEO and AEO are how you stay in the answer.

  • Tracks visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews
  • Maps the source content driving every citation
  • Refreshes weekly so you catch shifts before they cost pipeline
See it in action

From AI invisible to AI cited

The same loop, every week. Run your buyer prompts through every AI engine. Pull the citations. Find the source content behind them. Generate assets and surface conversations that earn the next mention. Track the share of voice as it climbs.

  • AI scores each prompt, citation, and source
  • Runs every week so you catch shifts early
  • Drops findings into Notion, Slack, or your CMS
See research templates
GEO and AEO workflow
1
Run buyer prompts
2
Pull citations
3
Map sources
4
Generate next moves

Why teams automate GEO and AEO with Miniloop

Stay in the answer

AI engines return one answer with a handful of citations. If you are not in them, you do not exist. Miniloop tracks visibility on the prompts your buyers actually run.

Know the sources behind every answer

AI does not invent citations. It pulls from real pages. Miniloop maps every source so you know exactly where to invest, whether that is your own content, Reddit, Wikipedia, or industry publications.

Catch share-of-voice declines early

Watch your share of voice in AI answers compared to competitors. Get alerted the week it drops, not the quarter it shows up in pipeline.

Find the conversations AI is reading

Reddit, Quora, and Hacker News threads drive a large share of AI citations. Miniloop surfaces relevant threads while they are still active, so your team can engage authentically.

Generate the assets AI cites

Comparison pages, listicles, and reference articles built around the structure AI engines look for. Targeted at the prompts you are losing on, scored by citation likelihood.

Invisible to AI search vs cited and recommended

What changes when GEO and AEO run on autopilot.

No GEO or AEO program
Miniloop GEO and AEO
No idea where your brand shows up in ChatGPT or Perplexity
Weekly visibility scan across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews
Competitors get recommended in answers you should own
Every citation source mapped, so you know where to invest
Wrong answers about your product spread for months
Sentiment and accuracy alerts the day they shift
Reddit and Quora threads about your category go unanswered
Reddit, Quora, and forum threads surfaced while they are still active
Share-of-voice declines caught a quarter late, in pipeline reports
Share of voice tracked over time vs your top 3 competitors

How to automate GEO and AEO with AI

From AI invisible to AI cited, in three steps.

01

Define your buyer prompts

Tell Miniloop the prompts your buyers actually run. 'Best CRM for startups.' 'Alternatives to Apollo.' 'How to automate cold email.' These are your AI keywords.

02

Run the visibility scan

Miniloop runs every prompt through ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews on a schedule. Pulls citations, scores share of voice, and maps the source content behind every answer.

03

Earn the next mention

Generate the assets AI engines cite from. Surface the conversations your team should engage in. Watch the share of voice climb and the wrong answers get fixed.

Frequently asked questions about GEO and AEO

Why GEO and AEO matter now

Buyers are running more decisions through ChatGPT and Perplexity than they were six months ago. The trend line is steep, and the answer surface is consolidated. Where Google returned ten blue links, AI engines return one answer with a small set of citations. If your brand is not in those citations, you are not in the consideration set.

Generative engine optimization and answer engine optimization are how you stay in the answer. Like SEO twenty years ago, the playbook is still being written. The teams that build a measurement and content loop now will own the share of voice in their category for the next decade.

How AI engines pick what to cite

They pull from real sources

AI does not invent citations. Every answer is built from indexed pages, with patterns: comparison pages, well-structured listicles, reference articles, Reddit threads with high engagement, Wikipedia, and authoritative industry publications. The first step in GEO is mapping which sources show up most for your category.

Structure beats length

AI engines parse content for entities, lists, comparisons, and clear definitions. A 5000-word essay loses to a 1500-word comparison page with structured headers, bullet lists, and clear answers to specific buyer questions. Miniloop generates content with the structure AI engines look for.

Recency and authority compound

Fresh content from authoritative domains gets cited disproportionately. Old reference pages still rank, but new well-structured content can break in fast. The teams winning at GEO publish on a cadence, not in bursts.

How Miniloop runs the GEO and AEO loop

Every week, Miniloop runs your buyer prompts through every major AI engine. It pulls the answers, extracts the citations, and clusters the source content. You see exactly where you show up, where you are missing, and what content drives the citations you do not have. From there it generates the next round of assets and surfaces the conversations your team should join. The loop runs on a schedule, so the program compounds week over week.

GEO and AEO integrations

Miniloop plugs into the AI search and content stack you already use.

  • ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews for visibility scans
  • Reddit, Quora, and Hacker News for community thread surfacing
  • Ahrefs and Semrush for citation source authority data
  • WordPress, Sanity, and Contentful for publishing citation-worthy content
  • Notion and Airtable for the prompt and asset queue
  • Slack for weekly visibility reports and accuracy alerts

Related guides and templates

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