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Aeologic AI

Platform

One platform for the ranked list and the generated answer

Most stacks were built when there was only one surface to win. Aeologic scores, fixes and measures both — with the same evidence feeding every module.

The loop

Five modules that feed each other

Radar finds the gap. The Command Center explains it. The Content Engine fills it. Authority and Community corroborate it. Then Radar measures whether it worked.

  • M-01Step 1

    GEO Command Center

    Every generative-engine fix, ranked by impact, on one screen.

    The GEO Command Center scores each URL the way a retrieval system does — passage by passage — then hands you an ordered queue of fixes with the expected citation lift attached to each one.

    Explore GEO Command Center
    • Passage-level citability scoring

      Every page is split into retrievable chunks and graded on answer density, entity clarity, factual specificity and standalone readability — the four properties that decide whether a model quotes you or your competitor.

    • Prompt-to-page mapping

      Import the prompts your buyers actually type. Aeologic maps each one to the page best positioned to win the citation and flags prompts you have no coverage for at all.

    • Source-graph analysis

      See which domains the engines lean on for your topic set, how often they reappear, and precisely which of them you need on your side to enter the consideration set.

    • One-click structural fixes

      Missing definition blocks, buried answers, unlabelled comparisons, absent schema. Approve a fix and the Publishing Agent writes it to your CMS with a full diff.

  • M-02Step 2

    AI Visibility Radar

    Know exactly how ChatGPT, Perplexity and Gemini describe your brand.

    AI Visibility Radar runs your prompt set against seven engines on a schedule, records every answer, and tells you where you appear, where you do not, and which competitor is being recommended in your place.

    Explore AI Visibility Radar
    • Seven-engine coverage

      Google AI Overviews, ChatGPT Search, Perplexity, Gemini, Claude, Microsoft Copilot and Grok — tracked on the same schedule so results are genuinely comparable.

    • Share of voice by prompt

      For each tracked prompt, see who gets named, in what order, and how often. Trend it weekly and you have the first honest measure of AI market share in your category.

    • Citation source tracking

      Every answer is parsed for its sources. Learn which third-party pages the models trust on your topics — the shortlist for your authority and PR programme writes itself.

    • Sentiment and accuracy alerts

      Get alerted when a model starts describing your pricing, positioning or category wrong. Factual drift is fixable, but only if you catch it.

  • M-03Step 3

    Content Engine

    Research, brief, draft and optimise — without leaving the editor.

    The Content Engine holds research, brief, draft, optimisation and publication in one continuous workspace, so the intent captured in step one still governs the sentence you edit in step four.

    Explore Content Engine
    • SERP and answer research

      Every brief is grounded in the live top thirty results plus the current AI answers for the same query, so you write against what is actually winning today.

    • Autopilot drafting

      Point Autopilot at a keyword and it returns a fully structured, internally linked, source-cited long-form draft in about six minutes — a real starting point rather than filler.

    • Brand voice profiles

      Train a voice on ten existing pages. Every draft afterwards inherits your vocabulary, sentence rhythm, claim style and the things you never say.

    • Live dual scoring

      The editor shows an SEO score and a GEO citability score side by side as you type, so nobody has to guess which edit helped.

  • M-04Step 4

    Authority Network

    Editorial placements on the sources models already trust.

    Authority Network is a curated inventory of publications scored on topical fit, traffic quality and — uniquely — how often each domain is actually cited by AI engines in your category.

    Explore Authority Network
    • Citation-frequency scoring

      Every domain carries a score for how often the engines quote it on your topics. A DR 70 site nobody cites is worth less than a DR 45 site that models lean on constantly.

    • Relevance-first filtering

      Filter by topical overlap with your own site rather than raw authority metrics, so placements read as natural rather than purchased.

    • Transparent, fixed pricing

      Every listing shows traffic, topical fit, citation score, turnaround and price before you commit. No negotiation theatre.

    • Managed placement

      Aeologic writes the piece, pitches the editor and confirms the live URL. You approve the angle and the anchor.

  • M-05Step 5

    Community Signal

    Show up in the forum threads models quote back to buyers.

    Community Signal finds the threads that matter in your category, scores each one by how much it influences AI answers, and helps your team contribute in a way communities accept rather than punish.

    Explore Community Signal
    • Thread discovery and scoring

      Continuous monitoring across Reddit, Quora, Hacker News, Stack Exchange and the niche forums in your vertical, ranked by citation influence rather than raw traffic.

    • Citation influence mapping

      See which specific threads the engines quote when answering your tracked prompts, so effort goes to the ten conversations that actually move the answer.

    • Response drafting with guardrails

      Drafts are written to community norms — disclosure included, promotion stripped out — and always routed through a human before posting.

    • Unanswered-question radar

      Surface high-intent questions in your category that nobody has answered well yet. These are the cheapest citations available.

Coverage

Seven engines, one comparable schedule

Tracking three engines on different cadences produces numbers nobody can compare. Aeologic runs the same versioned prompt set across every engine on the same schedule.

  • Google AI Overviews
  • ChatGPT Search
  • Perplexity
  • Google Gemini
  • Claude
  • Microsoft Copilot
  • Grok

Execution

Seven agents, one human in the loop

Agents run in parallel rather than queueing behind one another. A person still approves everything that reaches your live site.

Meet the fleet →
  • A-01

    Strategy Agent

    Sets the plan every other agent executes

  • A-02

    Research Agent

    Grounds every brief in current evidence

  • A-03

    Content Agent

    Writes the draft in your voice

  • A-04

    Visibility Agent

    Watches how the engines describe you

  • A-05

    Authority Agent

    Earns the citations models trust

  • A-06

    Community Agent

    Finds and joins the conversations that matter

  • A-07

    Publishing Agent

    Ships the work and makes it discoverable

See what the models say about you.

Run a free visibility baseline across seven AI engines. No card, no call, results in about twenty minutes.

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