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AEO, GEO & Search Everywhere Optimization
(SEOx)

Discover AEO and GEO optimisation at Verdant Mindset: presence in ChatGPT, Perplexity and Gemini answers, no secret schema.

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Sustainable AEO & GEO: source-of-truth architecture for AI
INTRO

Today, a user no longer scrolls through a page of Google results. They read the summary that ChatGPT, Perplexity or Gemini serves directly — and that summary either cites your brand or doesn't. We build the semantic infrastructure that forces AI agents to choose you as a source — the discipline called Search Everywhere Optimization (SEOx): being found everywhere people search today, from Google to ChatGPT, Perplexity and Gemini: llms.txt, Knowledge Graph, hyper-granular Schema, validation with Cloudflare Agent Ready Check↗. This is sustainable AEO and GEO — durable AI citations, not fragile positions that expire at the next OpenAI or Google update.

Request an AI-citation audit↗See the technical foundation: Sustainable SEO↗
SECTION.01

What this service actually sells

We no longer sell "SEO". We sell presence in AI summaries. That means, in concrete components you can request separately or bundled:

  • llms.txt + llms-full.txt written for your brand — the manual through which you literally tell Claude or GPT how to cite you.
  • robots.txt with an AI-bot allowlist (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider) — controlled per agent, not "all-or-nothing".
  • Hyper-granular Schema.org (Organization, Service, FAQPage, BreadcrumbList, HowTo, Article) — so AI extracts structured facts instead of interpreting.
  • Private Knowledge Graph — a network of interconnected entities describing your business in the machines' language.
  • SSR / SSG architecture — the site delivers clean HTML on the first request, without the AI bot needing to execute JavaScript.
  • Validation at delivery with Cloudflare Agent Ready Check↗ — measured score + correction plan for weak points.
  • "Share of Voice" monitoring — we check how your brand shows up in Perplexity / ChatGPT / Gemini answers on the critical prompts in your niche. Frequency of your choice (retainer / quarterly / on-demand).

The exact scope for your project is established at the discovery audit. B2B SaaS, e-commerce and content publisher sites have different needs — we don't sell the same list to everyone.

SECTION.02

How we test — Cloudflare Agent Ready Check

Before ChatGPT, Perplexity or Gemini can cite your brand, their bot has to be able to read your site. We use Cloudflare Agent Ready Check↗ at the delivery of every project and after every major update. The tool tests 5 concrete dimensions:

  • Discoverability. robots.txt, sitemap, link headers configured correctly for LLM bots.
  • Content Accessibility. The site responds adequately to "markdown content negotiation" requests — relevant for agents that prefer clean text instead of HTML.
  • Bot Access Control. Explicit rules per AI bot, not "allow / disallow all" — you control exactly who can read you.
  • Protocol Discovery. Discovered endpoints (MCP, API catalog) where applicable — relevant for B2B SaaS.
  • Commerce. Preparation for Agentic Commerce (x402, ACP) — relevant for e-commerce that wants to be bought by AI agents in the near future.

You receive at delivery: a report with your score + recommendations for each weak point. At the 30 / 90 day re-measurement, updated score. If it has dropped, we intervene at no extra cost.

SECTION.03

Capabilities included as standard on any project

The minimum stack that goes into every AEO/GEO project. The additional capabilities (private Knowledge Graph, B2B RAG pipeline, continuous Share of Voice monitoring, Agentic Commerce preparation) are available — scope negotiated at discovery.

  • Cloudflare Agent Ready Check audit at kick-off and at delivery, with measured score and written report.
  • llms.txt + llms-full.txt written for your brand, publicly visible, ready to be read by any AI agent.
  • Schema markup on key pages, validated with Google Rich Results Test.
  • Reverse-prompting report — a set of representative prompts run on 4 AI engines, before and after.
  • 30 and 90 day re-measurement — we verify post-launch performance at no extra cost.

SYSTEM.QUERIES

Frequently Asked Questions

Because the internet's interface is changing. Today your customer finds it on Google → click → site. Tomorrow: they ask ChatGPT → receive a summary → buy directly. If you're not cited in the summary, you don't exist for the AI-first user. SEO keeps you in the list of links; AEO keeps you in the answer.
LLMs update their training bases periodically (monthly to quarterly). After implementation, the first new AI citations typically appear in 4–12 weeks. Our reverse-prompting shows you the weekly movements, not just the monthly aggregate.
We track Share of Voice — the frequency with which your brand is cited as the main source for the critical prompts in your niche. Plus the direct traffic resulting from these citations. Plus the number of qualified B2B leads who mention they discovered the brand "through ChatGPT" or "through Perplexity".
No. Classic SEO optimises for blue links. AEO optimises for citations in AI answers — different semantic engineering, different Schema, different content. If you want AEO, it's a separate intervention or an add-on to your existing SEO.
Local SEO drops a pin on Google Maps. GEO maps the semantic proximity between your brand and concepts / locations in the machines' language — the AI thereby connects you to your operational competence, regardless of whether you operate in a single city or serve a national market. We anchor your location, not ours.
Just as `robots.txt` tells classic crawlers where they're allowed to go, `llms.txt` (plus `llms-full.txt`) tells AI agents explicitly how to read and summarise your information. Without it, you let the AI guess — and it guesses wrong often.
In over 90% of cases, yes. AI models have a limited crawl budget — they don't execute heavy scripts just to find out what you sell. For efficient AEO, we recommend SSR or SSG (Server-Side / Static Generation). If your site is pure SPA, the first step is an architectural migration or at least a pre-render layer.
Through hyper-granular Schema markup (Product, Offer, PriceSpecification, Service) and an explicit Knowledge Graph. When key attributes are marked at code level with exact values, we reduce the "temperature" with which the AI interprets. The AI prefers to cite structured facts rather than invent them.
On the contrary — Google, Bing and AI companies explicitly ask for structured data. AEO is the cleanest form of "white-hat": we turn a site from a visual page into a machine-readable database. Completely immune to penalties.
Request a preliminary audit. We run reverse-prompting on a few key prompts in your niche + Cloudflare Agent Ready Check on your site. In 3–5 days you receive a short report with "where you stand now" and "what you'd get at 90 days with Verdant's intervention". The full scope we decide at the discovery session.
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