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Knowledge hub

The part that is meant to still be true next year.

Plain explanations of how AI-era discovery actually works - what the terms mean, how the measurements are taken, and what to do about each one. Written to be linked to, revised in place, and dated so you can tell.

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Format
Short explainers, worked examples, no gate
Upkeep
Revised in place, with the date on the page
Scope
How AI-era discovery works, and how to act on it

9 of 23 explainers

ChatGPT Ads13 min read

ChatGPT Ads: Create, Manage and Measure Campaigns

ChatGPT Ads replaces simple keyword matching with conversational relevance. Here is how to build, manage and measure campaigns—and what early US and European evidence really shows. Create one campaign per business objective, separate ad groups by decision context, write several genuinely distinct ads for each offer, send every click to the closest matching landing page, and install conversion measurement before launch. Judge the channel on qualified outcomes—not novelty, screenshots or CTR alone.

Organisation

GEO & AEO (AI Visibility)9 min read

How to Get Cited by ChatGPT, Claude & Perplexity | adviora

To get cited by ChatGPT, Claude, Gemini and Perplexity, make each page indexed, snippet-eligible and easy to lift from. Google states there are no special optimisations for AI Overviews — eligibility means being indexed and allowed to show a snippet. The work that actually helps is writing self-contained passages, opening with declarative definitions, matching structured data to visible content, linking internally so pages are findable, serving readable HTML, and allowing each provider's retrieval crawler.

Vivek Kishore Verma

AI Visibility10 min read

2026 Search Strategy: Google and AI Assistants | Adviora

A 2026 search strategy should treat one content asset as the input to four surfaces: ranked blue links, answer boxes such as featured snippets and People Also Ask, Google's AI Overviews and AI Mode, and third-party assistants like ChatGPT, Claude and Perplexity. The first three depend on ordinary Search eligibility — indexed, snippet-eligible, technically sound. The fourth depends on a separate decision most teams never make deliberately: which AI crawlers you allow, and whether you have distinguished training crawlers from search crawlers in robots.txt.

Organisation

GEO & AEO (AI Visibility)13 min read

Google's AI Optimization Guide, Decoded (2026)

Google's AI Optimization Guide, published 15 May 2026, states that no special optimisation is required for generative AI search: “You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search”, “There's no requirement to break your content into tiny pieces”, “You don't need to write in a specific way just for generative AI search”, and “Structured data isn't required for generative AI search”. Eligibility for AI Overviews and AI Mode is narrow and technical — the page must be indexed, eligible to appear in regular Search with a snippet, and meet Search technical requirements. A nosnippet directive or an aggressive max-snippet removes you.

Organisation

GEO & AEO (AI Visibility)8 min read

llms.txt and Google Search: What It Does and Doesn't Do

Google confirmed on 15 June 2026 that llms.txt and similar files “aren't needed for Google Search (and won't negatively or positively impact your visibility or rankings)”, and its AI Optimization Guide states that “You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search”. llms.txt remains a legitimate community proposal at llmstxt.org, aimed at inference-time use by LLM consumers, with vendor-dependent value. Publish one if it is cheap, but budget it as optional infrastructure, never as a Google visibility tactic.

Organisation

AI Visibility7 min read

FAQ Rich Results Deprecated: What to Do With Schema

Google's FAQ rich result is gone. A deprecation notice added on 8 May 2026 stated the feature “will no longer appear in Google Search starting May 7, 2026”, and on 15 June 2026 Google removed the FAQ rich result documentation entirely; HowTo rich results were deprecated earlier, announced in August 2023. Schema.org FAQPage is still valid vocabulary — what ended is Google displaying a rich result for it. Leave existing markup in place, stop scoring its absence as a Google deficiency, and do not substitute QAPage, which requires genuine user-submitted answers.

Organisation

Technical SEO10 min read

Zero-Click Search: Why Ranking #1 Isn't Being Found | Adviora

Ranking first no longer guarantees traffic because many queries are now answered on the results page or inside an AI assistant, so the user never clicks through. A page can be indexed, ranked and quoted while producing no session. The honest diagnostic is not rank at all: it is Google Search Console showing impressions holding or rising on informational queries while clicks and click-through rate fall. Measure that gap on your own query set rather than relying on published market averages.

Vivek Kishore Verma

Content Marketing & Strategy8 min read

Unified Social Media Analytics: GA4, Meta, LinkedIn & More | Adviora

Unified social media analytics means consolidating GA4, Meta, LinkedIn, YouTube, Reddit and TikTok data into one comparable view. The numbers never reconcile exactly because each platform uses its own session, view and impression definitions, its own attribution windows, and its own self-reported data. The workable approach is a three-layer model: keep platform-native metrics for within-platform trends, normalise only metrics with a shared definition, and settle all outcome reporting on one site-side source such as GA4.

Vivek Kishore Verma

Execution & Recommendation Engine9 min read

The CMO Marketing Dashboard: 8 Metrics That Matter | Adviora

A CMO marketing dashboard should carry eight metrics: organic clicks, the impressions-to-clicks gap, AI citation coverage, share of voice, Core Web Vitals at the 75th percentile, trust and E-E-A-T posture, paid efficiency measured from the search terms report, and marketing-sourced pipeline. Each earns its slot by changing a decision. Anything that only ever goes up, or that cannot be traced to a source definition, belongs in an appendix rather than on the dashboard.

Vivek Kishore Verma

How the hub is kept

Five rules, applied to every entry

Reference material is only worth linking to if it is still right when someone follows the link. These are the rules that make that likely, published before the entries rather than after.

  1. 01Answer the question in the first paragraphThe definition goes at the top, before the context and before the argument. Someone who arrived from a search wanted one sentence, and making them scroll for it to raise the time-on-page is a tax charged on a reader for our benefit.
  2. 02One entry per ideaAn explainer covers a single term or a single task. Two ideas in one page means neither can be linked to precisely, and precise linking is the entire reason a reference layer exists.
  3. 03Show the version that breaksA how-to that only demonstrates the happy path is not a how-to. Each one states what it assumes, and what happens when that assumption does not hold.
  4. 04Revise in place, and date the revisionAssistant behaviour changes quarterly, so a page written against last year's behaviour is wrong rather than merely old. Entries are rewritten under the same URL and carry the date they were last checked - a new post correcting an old one leaves the wrong answer in circulation.
  5. 05Retire what is no longer trueAn entry that cannot be made correct is removed rather than left standing with a caveat at the top. A hedge does not stop a stale page from being the one that ranks.

An entry that cannot meet these is retired rather than caveated, which is why the shelf above is shorter than it could be.