Services

Brand visibility in neural-network answers.

Ten engines. Mentioned, cited, or recommended — three different outcomes. Same prompts, a monthly slice you can defend.

People no longer start with ten blue links. They ask ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Qwen, Kimi, Z.ai GLM, Grok, or Manus — and the model either names you or names a peer. This catalogue is the desk that measures that, fixes what blocks the crawler, and writes pages a retriever can actually lift. Bot access is hygiene, not a ticket into ChatGPT. We do not sell a guaranteed citation, a paid answer tile, or a checkout in v1.

  • ChatGPT
  • Google Gemini
  • Claude
  • Perplexity
  • DeepSeek
  • Qwen
  • Kimi
  • Z.ai GLM
  • Grok
  • Manus

  1. Visibility measurement

    Same prompt set across ten engines. Mention, citation, and recommendation stay in separate columns. A monthly slice — not a one-shot screenshot.

    • Prompt tracking
    • Query fan-out
    • Citation URL tracking
    • Mention, citation, recommendation
    • Share of voice
    • Position in answers
    • Sentiment in answers
    • Prompt volumes
    • UI scrape vs model API
    • Repeated sampling
    • Funnel / intent tags
    • Agentic commerce shelf Coming
    • Paid placement in answers Coming
    • Free GEO tools Coming

  2. Markets and languages

    Country, language, dialect, and script are set before any prompt. English-IN is not Hindi-IN. Gemini Apps is not a lumped “Google.”

    • Audience slices
    • Multi-engine coverage
    • Market cell first
    • Agent-led growth Coming

  3. Competitors and benchmarks

    Who occupies the answer instead of you. Share next to named peers — not a trademarked index.

    • Competitive share
    • Brand perception
    • Category benchmark

  4. Bots and technical access

    If the crawler cannot fetch honest HTML, there is nothing to cite. robots, llms.txt, sitemaps, headers — hygiene, not a ranking hack.

    • Agent analytics
    • Crawlability
    • llms.txt map
    • Submit URLs to crawlers
    • File audit
    • AXP edge payload Coming

  5. Content and fixes

    Extractable facts and an ordered backlog. Human approval before publish. Not FAQ spam as a rank trick.

    • GEO readiness audit
    • Prioritized fixes
    • AEO generation + HITL
    • CMS / feed publish
    • Schema / JSON-LD hygiene
    • Canonical facts page
    • HITL before publish
    • Product feed / merchant layer Coming
    • Autonomous AEO workers Coming

  6. Facts and reputation

    What models claim versus what you stand behind. Fix false facts — not only “visibility.”

    • Fact check vs model claims
    • Report inaccuracies
    • Review / reputation signals
    • Entity / brand authority

  7. Citable publishers

    Outreach on domains the model already cites. Earn the next mention — do not buy an answer slot.

    • Citation outreach
    • Partner activation
    • Prompt library sources
    • Paid AI journey ads Coming

  8. Reporting and integrations

    Slices you can read. Alerts. APIs. Visibility to sessions only with a method — no last-click GEO myth.

    • Attribution to sessions
    • MCP server Coming
    • REST / customer API Coming
    • BI connectors Coming
    • Search Console as prompt source
    • Alerts
    • Cookieless AI referrers
    • White-label / agency Coming
    • Enterprise connectors Coming
    • SSO / RBAC / SOC2 packaging Coming

How it works

Audit. Access. Facts. Then measure again.

Four steps, in order. Skip access and you rewrite essays the crawler never sees. Skip the remeasure and you are decorating a screenshot.

  1. Audit

    Same prompt set, ten engines, a monthly slice. Mention, citation, recommendation kept apart. How we measured — consumer UI versus a model API — sits on the label.

  2. Bot access

    Let crawlers in. robots, llms.txt, sitemaps, headers. Same HTML for people and bots. File discrepancies labelled. Discover is not a citation guarantee.

  3. Extractable facts

    Pages a model can lift — dated, consistent, quotable. A human signs off. Not FAQ spam as a trick, not schema as a ChatGPT allocator.

  4. Citable publishers, then remeasure

    Earn mentions on domains already cited. Slice again in a month. No guaranteed ChatGPT slot. No paid tile in the answer in v1.

Questions

What this is — and is not.

The category is loud. These answers are the ones we will still stand behind after a legal read.

Is GEO the same as SEO?
No. SEO still moves demand on Google and Yandex — blue links, crawl, on-page. GEO / AEO asks whether answer engines mention you, cite a URL, or recommend you. You need both. A healthy index does not guarantee a name in ChatGPT.
Do you guarantee a citation in ChatGPT?
No. We do not promise a citation, a rank, or a place in any engine’s answers. We measure a dated panel, fix what blocks the crawler, and write extractable pages. The next slice is the proof — not a slogan.
Which engines do you cover?
Ten named consumer engines, in this order: ChatGPT, Google Gemini, Claude, Perplexity, DeepSeek, Qwen, Kimi, Z.ai GLM, Grok, Manus. We do not lump surfaces. We do not add an eleventh probe to chase a competitor’s logo wall.
Is llms.txt a ticket into the answers?
No. robots.txt, llms.txt, sitemaps, and schema are access hygiene. They tell crawlers what they may read. They are not an allocator, not a paid placement, and not a ranking lever we will pretend to own.
Can I pay on this site?
Not in v1. Plans are a conversation guide. Subscribe asks a manager. There is no Stripe, no card form, and no LLM on a charge path. Paid versus free comes later.
How is a monthly slice different from a screenshot?
Answers are stochastic. We freeze the prompts, name the engine, repeat the sample, and keep three columns. A screenshot of one lucky reply is not a method you can defend in a meeting.

Promote your URL.

Register with the site you want visible in the markets you pick. Ten engines. Country and language first. No price on this step. No checkout.

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