# Adviora

> Adviora is a marketing intelligence platform that reads a brand's search rankings, ad spend,
> social chatter, competitor moves and AI-assistant visibility as one picture, then turns it into a
> ranked list of fixes a team can work through. Aria, the assistant built into it, answers questions
> across every one of those sources in a single conversation.

Adviora is built around AI-era discovery: how ChatGPT, Gemini, Perplexity and AI Overviews decide
which sources to cite, and what a brand can change to be one of them. GEO and AEO are treated as
measurable, not as theory - every claim on the site is tied to something the platform reports.

- Every page listed here is open to AI crawlers by design; see `/robots.txt` for the explicit
  user-agent list, and `/bot` for what AdvioraBot itself does.
- `/audit-report` result URLs are one-off previews of third-party domains and are excluded from
  both the sitemap and this file. The landing page is listed.
- Full URL list: https://adviora.ai/sitemap.xml

## Start here

- [Turn Marketing Chaos Into One Clear Growth Plan](https://adviora.ai/): Adviora reads your rankings, ad spend, social chatter and AI visibility as one picture, then turns it into a plan you can act on.
- [How It Works: Every Channel, One Growth Plan](https://adviora.ai/platform): Connect your channels and let Adviora read them as one picture - search, ads, social, competitors and AI - then work the ranked list of fixes it hands back.
- [Pricing: Plans and What Each One Includes](https://adviora.ai/pricing): Essentials, Growth, Agency and Enterprise - compare domains, AI visibility, keywords and Aria access side by side, then start with a free Adviora audit. Limited-time offer: free signup until 30 September 2026. No card required.
- [FAQ: Straight Answers About Adviora](https://adviora.ai/faq): What Adviora measures, what it costs, how long setup takes, what happens to your data, and whether it works alongside the tools your team already runs.

## AI visibility

- [AI Visibility: GEO and AEO Answer Tracking](https://adviora.ai/ai-visibility): Track how ChatGPT, Gemini and AI Overviews answer questions in your category, how often they cite you, and what to change so they reach for your brand first.
- [AI Score: One Number for AI Visibility](https://adviora.ai/ai-score): A single score for how visible and citable your brand is to AI assistants, built from answer share, trust signals and technical readiness.
- [GEO: Generative Engine Optimisation](https://adviora.ai/geo): How generative engines pick the sources they quote, how to make your pages easy for them to reach, and how to tell whether the work is landing.
- [AEO: Answer Engine Optimisation](https://adviora.ai/aeo): Answer engines resolve a question without a click. See which answers you appear in, which you are missing, and what to change to get named.
- [Social and Voice Share of Conversation](https://adviora.ai/SOV): Measure how much of your category's conversation you own across social platforms and voice assistants, how that share is moving, and who is taking it from you.
- [Recommendation Engine: What to Fix First](https://adviora.ai/recommendation-engine): Every signal Adviora reads becomes one ranked list of fixes, each with its effort, its likely lift, and the check that confirms it landed.

## Free tools, no sign-up

- [AI Visibility Checker: Free Instant Check](https://adviora.ai/ai-visibility-checker): Drop in a domain and see how ChatGPT, Gemini and AI Overviews answer questions in your category - and whether they cite you. No sign-up, results in seconds.
- [Free Audit: EEAT, GEO and AI Citation Check](https://adviora.ai/audit-report): Run a free check on any domain - EEAT trust signals, GEO readiness, or how often AI assistants cite you. No sign-up, no card, results in seconds.

## Platform

- [Aria: Your Companion Inside Adviora](https://adviora.ai/aria): Ask questions, research topics, compare options and get a recommendation for what to do next - one conversation across every source of intelligence in Adviora.
- [Executive Dashboard: One View, Every Channel](https://adviora.ai/executive-dashboard): Search, ads, social, competitors and AI visibility on one screen, reading from one model - so the numbers agree with each other and nobody rebuilds the report.
- [Customer Discovery](https://adviora.ai/customer-intelligence-discovery): Understand customer needs, questions, intent and buying behaviour, then turn customer signals into growth opportunities.
- [Competitor Universe: See Every Rival](https://adviora.ai/competitor-intelligence-universe): Track competitor visibility, content, keywords, authority and market movement, and discover competitive gaps and opportunities.
- [Competitor Intelligence](https://adviora.ai/competitor-intelligence): Track competitor visibility, keywords, content, authority and market movement, and see where competitive gaps are opening up.
- [Keywords Universe](https://adviora.ai/keywords-universe): Discover search demand, keyword opportunities, intent and competitive gaps with Adviora's Keywords Universe Engine.
- [Customer Discovery Engine](https://adviora.ai/customer-discovery): Discover customer needs, questions, intent, pain points and buying signals with Adviora's Customer Discovery Engine.
- [Content Intelligence: What to Write Next](https://adviora.ai/content-intelligence): See which pages earn attention, which are quietly decaying, and which questions nobody answers yet - ranked so writers start with the piece that pays.
- [E-E-A-T Intelligence: Measure Every Page](https://adviora.ai/eeat-intelligence): Adviora scores experience, expertise, authoritativeness and trust page by page and author by author, then ranks the credibility fixes worth making first.
- [Why Trust and Authority Decide Who Ranks](https://adviora.ai/trust-and-authority): Search engines and AI assistants both judge whether a business can be believed. What builds that credibility, why it matters, and which signals actually count.
- [Technical SEO: Crawl, Index and Speed](https://adviora.ai/technical-seo): Find the crawl errors, index gaps, broken schema and slow templates holding your site back - ranked by how much traffic each one is actually costing you.
- [Backlinks and Off-Page Authority](https://adviora.ai/backlinks): See who links to you, who links to your competitors instead, and which lost links are worth chasing. Authority scored on relevance, not on raw domain counts.
- [Website Audit: Find What Holds You Back](https://adviora.ai/website-audit): Audit your site's crawl health, speed, structure and trust signals in one pass, then work the findings ranked by cost rather than severity.
- [Integrations: Connect Every Channel](https://adviora.ai/integrations): Connect Search Console, Analytics, your ad accounts, your CRM and your social profiles in a few minutes - then let Adviora read all of them as one picture.

## By role

- [Solutions by Role: Built for Your Job](https://adviora.ai/solutions-by-role): Whether you run growth, own SEO, lead content or sit in the CMO seat, Adviora surfaces the slice of the picture your role is measured on - and what to do next.

## Resources

- [Knowledge Hub: How AI Search Works](https://adviora.ai/knowledge-hub): Plain explanations of AI-era discovery - what the terms mean, how visibility is measured, and what to do about each. Revised in place and dated.
- [Blog: SEO, AEO and GEO in Practice](https://adviora.ai/blog): Field notes on how AI assistants pick who to cite, what still moves search rankings, and how to build a measurement setup your whole team can trust.
- [White Papers on AI-Era Discovery](https://adviora.ai/white-papers): Long-form research on how assistants choose a source, how to measure visibility you cannot rank for, and what a trust signal is worth.
- [Case Studies: Teams Using Adviora](https://adviora.ai/case-studies): What changed for teams after they stopped reading five dashboards: the work they prioritised, the fixes that landed, and what the numbers did afterwards.
- [Newsletter: What Changed in AI Answers](https://adviora.ai/newsletter): One email a month on how AI assistants and search decide who to recommend - what changed, what it means for you, and the one thing worth fixing.

## Company

- [About Us: Why We Built Adviora](https://adviora.ai/about): We built Adviora because marketing teams read five tools and got five answers. Here is what we believe about measurement, AI search and the work.
- [Meet the Team Building Adviora](https://adviora.ai/team): The people behind Adviora - what we worked on before this, why we started it, and how to reach the person whose job is closest to the question you have.
- [Contact Us: Talk to the Adviora Team](https://adviora.ai/contact): Tell us what you are trying to figure out and we will point you at the right thing - a demo, the free audit, or a straight answer about whether Adviora fits.
- [AdvioraBot: Web Crawler Documentation](https://adviora.ai/bot): What AdvioraBot is, the data it collects, how it crawls your site, and how to block or rate-limit it with robots.txt. Includes the full user-agent string.

## Tool comparisons

- [Comparison: Pick the Right Tool](https://adviora.ai/comparison): Side-by-side comparisons of the tools marketing teams weigh up - what each one measures, where each one stops, and which questions none of them answer.
- [Adviora vs Semrush](https://adviora.ai/comparison/adviora-vs-semrush): The most established all-round SEO suite. We concede the keyword database and argue about AEO, GEO and execution.
- [Adviora vs Ahrefs](https://adviora.ai/comparison/adviora-vs-ahrefs): The backlink index everyone benchmarks against. Worth keeping if link research is the job.
- [Adviora vs Moz Pro](https://adviora.ai/comparison/adviora-vs-moz-pro): A long-trusted SEO toolkit. Strong fundamentals, little AI-answer coverage.
- [Adviora vs Ubersuggest](https://adviora.ai/comparison/adviora-vs-ubersuggest): The affordable, simple SEO toolkit. Hard to beat on price for what it does.
- [Adviora vs Similarweb](https://adviora.ai/comparison/adviora-vs-similarweb): Market and traffic intelligence at a scale we do not attempt. A different question entirely.
- [Adviora vs Profound](https://adviora.ai/comparison/adviora-vs-profound): Enterprise AI search analytics, and genuinely strong at it. The closest comparison on AI visibility.
- [Adviora vs Peec AI](https://adviora.ai/comparison/adviora-vs-peec-ai): Focused AI search visibility monitoring across the major assistants, Claude included.
- [Adviora vs Scrunch AI](https://adviora.ai/comparison/adviora-vs-scrunch-ai): AI brand monitoring - strong on mentions and responses, lighter on the rest.
- [Adviora vs HubSpot Marketing Hub](https://adviora.ai/comparison/adviora-vs-hubspot-marketing-hub): Marketing automation and CRM. Mostly complementary to Adviora rather than competing with it.
- [Adviora vs Salesforce Marketing Cloud](https://adviora.ai/comparison/adviora-vs-salesforce-marketing-cloud): Enterprise marketing automation at scale. Solves a different problem to ours, and usually alongside it.
- [Adviora vs Diib](https://adviora.ai/comparison/adviora-vs-diib): Website health monitoring at a price that makes it easy to start. Stops where AI-answer discovery begins.
- [Adviora vs SE Ranking](https://adviora.ai/comparison/adviora-vs-se-ranking): A genuinely complete SEO toolkit at a fair price, local SEO included. The AI-answer layer is the gap.
- [Adviora vs Conductor](https://adviora.ai/comparison/adviora-vs-conductor): The closest enterprise comparison we have. Serious SEO and website intelligence; AI visibility is the newer half.
- [Adviora vs OnCrawl](https://adviora.ai/comparison/adviora-vs-oncrawl): Log-file analysis and crawling at a depth we do not attempt. A technical foundation, not a growth platform.
- [Adviora vs Surfer SEO](https://adviora.ai/comparison/adviora-vs-surfer-seo): One of the best content optimisation tools there is. It optimises the page; we ask whether the page should exist.
- [Adviora vs Clearscope](https://adviora.ai/comparison/adviora-vs-clearscope): Enterprise editorial quality, done properly. Topical relevance is its subject; discoverability is ours.
- [Adviora vs Frase](https://adviora.ai/comparison/adviora-vs-frase): Fast research-to-draft for content teams. Excellent at producing pages; silent on whether they get cited.
- [Adviora vs MarketMuse](https://adviora.ai/comparison/adviora-vs-marketmuse): Serious topical-authority planning for enterprise content teams. Strategy for the content, not for the whole presence.
- [Adviora vs Rankability](https://adviora.ai/comparison/adviora-vs-rankability): Purpose-built on-page optimisation with strong SERP analysis. Content scores, not business discoverability.
- [Adviora vs Keyword Insights](https://adviora.ai/comparison/adviora-vs-keyword-insights): The best kind of specialist tool: clustering and intent, done cleanly, at scale. Keywords are where it stops.
- [Adviora vs SEOwind](https://adviora.ai/comparison/adviora-vs-seowind): Research-backed AI drafting for content teams under deadline. Production speed, not discoverability.
- [Adviora vs RivalFlow AI](https://adviora.ai/comparison/adviora-vs-rivalflow-ai): Finds what a published page is missing against its rivals. Sharp, focused, and page-level by design.
- [Adviora vs Wellows](https://adviora.ai/comparison/adviora-vs-wellows): AI-assisted SEO content and workflow automation in one place. Content workflows rather than growth intelligence.
- [Adviora vs Jasper](https://adviora.ai/comparison/adviora-vs-jasper): Enterprise AI writing with brand voice control. A production tool, not a discoverability platform.
- [Adviora vs Writesonic](https://adviora.ai/comparison/adviora-vs-writesonic): Broad AI content production with a growing AI-search side. The visibility layer is where the two diverge.

## Optional

- [Privacy Notice](https://adviora.ai/privacy): What data Adviora collects, why, how AI processes it, how long we keep it, who processes it for us, and your rights under India's DPDPA and other laws.
- [Terms of Service](https://adviora.ai/terms): The terms you agree to when you use Adviora: what we provide, acceptable AI use, who owns Customer Data and AI outputs, billing and liability.
- [AI Disclaimer](https://adviora.ai/ai-disclaimer): Adviora's audits, scores and recommendations are estimates built from public and connected data. What that means for the decisions you make with them.
- [AI Usage & Responsible AI Policy](https://adviora.ai/ai-usage-policy): How Adviora uses AI, what happens to Customer Data in AI workflows, the limits of AI-generated output, and where human review stays required.
- [Cookie Policy](https://adviora.ai/cookies): Which cookies Adviora sets, what each one is for, how long each lasts, and how to change what you allow - including the categories we do not set at all.

## Articles

### Blog

- [50 ChatGPT Prompts for SEO, GEO & AI Visibility (Free Prompt Library, 2026)](https://adviora.ai/blog/chatgpt-prompts-for-seo-geo-ai-visibility): The most useful ChatGPT prompts for SEO and AI visibility work aren't generic writing prompts — they're structured requests that give ChatGPT clear context, a specific task, a defined output format, and explicit guardrails against making things up. Below are 50 prompts across six categories — technical SEO, E-E-A-T/trust, GEO/AI citation, AEO, content rewriting, and competitor research — each built to be copy-pasted and customized, plus a short framework for writing your own when none of these fit exactly.
- [What Is a Growth Operating System (and How Is It Different from an SEO Tool)?](https://adviora.ai/blog/growth-operating-system-vs-seo-tool): A Growth Operating System is an integrated marketing intelligence platform that combines SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI Visibility analysis, competitive intelligence, trust evaluation, and execution workflows into one continuous optimization cycle. Unlike a traditional SEO tool — which mainly identifies issues — a Growth Operating System prioritizes what matters, generates deployable fixes, and measures whether those fixes actually worked.
- [The AI Visibility Audit: 15 Questions Every Marketing Leader Should Ask](https://adviora.ai/blog/the-ai-visibility-audit): An AI visibility audit asks whether your brand shows up in AI-generated answers, whether what gets said about you is accurate, and whether the technical, trust, and content foundations behind your site actually support being cited
- [Title tag	Technical SEO Checklist 2026: Crawlability, Indexing & Core Web Vitals](https://adviora.ai/blog/technical-seo-checklist-crawlability-indexing-core-web-vitals): A technical SEO checklist for crawlability, indexing and Core Web Vitals covers three layers in order. First, confirm Googlebot can reach and render the URL — robots.txt, HTTP status codes, redirect chains and JavaScript rendering. Second, confirm the URL is selected as the canonical and stays indexed, using Search Console's Page Indexing report to catch duplicates, noindex tags and crawl anomalies. Third, confirm the page's real-world speed and stability clear Google's Core Web Vitals thresholds — Largest Contentful Paint under 2.5 seconds, Interaction to Next Paint under 200 milliseconds, Cumulative Layout Shift under 0.1 — measured with field data from the Chrome UX Report at the 75th percentile, not a single lab run. Run all three checks quarterly and after every template or hosting change, not as a one-off audit.
- [How to Run an AI Visibility Audit on Your Own Website](https://adviora.ai/blog/how-to-run-an-ai-visibility-audit): An AI visibility audit checks whether your brand appears, how it's described, and how accurately it's represented when AI assistants answer questions relevant to your business — then checks the technical, trust, and content signals that explain why. Run one by (1) manually querying ChatGPT, Gemini, Claude, and Perplexity with your real target questions and logging what comes back — this is your baseline **Share of Model (SoM)**, the percentage of AI answers that mention your brand at all — then (2) auditing the technical, trust, content, and answer-engine signals that influence whether AI systems can find, trust, and quote you. Most sites can complete a first-pass manual audit in half a day and should re-run it monthly, since AI-generated answers change far more often than traditional search rankings.
- [Decide Which Brands to Recommend](https://adviora.ai/blog/how-ai-assistants-decide-which-brands-to-recommend): AI assistants decide which brands to recommend using two foundational inputs — training data (what the model already knows from its historical footprint) and retrieval data (what it fetches live from the web at answer time) — filtered through four factors: entity consolidation (does the model recognize you as one consistent brand), co-occurrence (what topics you're consistently mentioned alongside), attribution (who is saying it, not just what's said), and retrieval weighting (how easily your content can be extracted and reused). Because every platform weights these differently, visibility should be measured per-platform, not as one universal "AI ranking."
- [Generative Engine Optimization (GEO): What It Is and Why It Matters (2026)](https://adviora.ai/blog/generative-engine-optimization-geo): Generative Engine Optimization (GEO) is the practice of structuring and promoting content so that generative AI systems — ChatGPT, Google Gemini, Claude, Perplexity, and Google AI Overviews — cite, quote, or recommend a brand inside their generated answers. Unlike traditional SEO, which is measured by rank position and click-through traffic, GEO is measured by citation frequency, "Share of Model" (how often a brand appears across a representative set of AI-generated answers for its category), and citation quality — accuracy, prominence, and sentiment.
- [AI Visibility vs. Traditional SEO: What's the Real Difference? (2026)](https://adviora.ai/blog/ai-visibility-vs-traditional-seo): Traditional SEO improves a website's visibility in search engine results rankings, clicks, organic traffic. AI Visibility (also called AI SEO, GEO, or AEO — largely interchangeable industry terms for the same discipline) improves the odds your content gets pulled into an AI-generated answer from ChatGPT, Gemini, or Google AI Overviews. The metrics differ accordingly: SEO is measured in rankings and traffic; AI Visibility is measured in AI mentions, citations, share of voice, and sentiment.
- [AEO vs. SEO: A Beginner's Guide to Winning AI Search in 2026](https://adviora.ai/blog/aeo-vs-seo-beginners-guide): SEO earns a position on a search results page that a person then has to click. AEO earns a place directly inside an AI-generated answer — cited, quoted, or recommended by ChatGPT, Perplexity, Gemini, or Google AI Overviews — before the person ever sees a page of links. The two aren't competitors: SEO builds the technical and authority foundation; AEO adds question-first structure, citable data, freshness, and entity consistency on top of it. Brands need both, because ranking well no longer reliably predicts getting cited

### Case Studies

- [Marketing Intelligence Platform Case Study: From Insight to Execution](https://adviora.ai/case-studies/marketing-intelligence-platform-case-study)

### White Papers

- [The State of AI Visibility: A 2026 Benchmark Report | Adviora](https://adviora.ai/white-papers/state-of-ai-visibility-2026-benchmark-report)

### Knowledge Hub

- [ChatGPT Ads: Create, Manage and Measure Campaigns](https://adviora.ai/knowledge-hub/chatgpt-ads-create-manage-best-practices): 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.
- [How to Get Cited by ChatGPT, Claude & Perplexity | adviora](https://adviora.ai/knowledge-hub/how-to-get-cited-by-ai-search): 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.
- [2026 Search Strategy: Google and AI Assistants | Adviora](https://adviora.ai/knowledge-hub/search-strategy-2026-google-and-ai-assistants): 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.
- [Google's AI Optimization Guide, Decoded (2026)](https://adviora.ai/knowledge-hub/google-ai-optimization-guide-decoded): 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.
- [llms.txt and Google Search: What It Does and Doesn't Do](https://adviora.ai/knowledge-hub/llms-txt-google-search-reality-check): 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.
- [FAQ Rich Results Deprecated: What to Do With Schema](https://adviora.ai/knowledge-hub/faq-howto-rich-results-deprecated): 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.
- [Zero-Click Search: Why Ranking #1 Isn't Being Found | Adviora](https://adviora.ai/knowledge-hub/zero-click-search-ai-answers): 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.
- [Unified Social Media Analytics: GA4, Meta, LinkedIn & More | Adviora](https://adviora.ai/knowledge-hub/unified-social-media-analytics): 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.
- [The CMO Marketing Dashboard: 8 Metrics That Matter | Adviora](https://adviora.ai/knowledge-hub/cmo-marketing-intelligence-dashboard): 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.
- [The 7 Trust Pages Every Website Must Have | Adviora](https://adviora.ai/knowledge-hub/trust-pages-every-website-needs): Seven page types establish that a website is accountable: an About page naming the legal entity and the people behind it; a Contact page with verifiable details, not just a form; an editorial or content policy explaining how content is produced and corrected; a privacy policy; terms of service; author or team profiles with real credentials; and a trust page covering accreditations, security or compliance. Together they answer Google's "Who created this content?" test.
- [Technical SEO Audit: Crawl, Index, Mobile, Performance | Adviora](https://adviora.ai/knowledge-hub/technical-seo-audit-anatomy): A technical SEO audit covers six categories: security (HTTPS and certificates), crawl (can bots reach your pages and resources), mobile (does the page render on a phone), technical markup (canonicals, headings, structured data), indexation (does the page qualify to be indexed) and performance (Core Web Vitals). Triage every finding with one question: does it block crawling, block indexing, degrade experience, or merely deviate from best practice? Fix in that order, because a crawl block hides the effect of every other fix.
- [How SEO, GEO and AEO Actually Differ | Adviora](https://adviora.ai/knowledge-hub/seo-vs-geo-vs-aeo-explained): SEO, AEO and GEO optimise for three different units of success. SEO earns a ranked link that a user clicks. AEO earns an extracted answer — a featured snippet, a People Also Ask entry or a voice response — that resolves the query in place. GEO earns a cited passage inside an AI-generated answer from engines such as ChatGPT, Gemini, Perplexity or Google's AI Overviews. LLMO is the underlying discipline of making your entities and facts unambiguous enough for a language model to retrieve and attribute correctly.
- [robots.txt for AI Crawlers: GPTBot, ClaudeBot & More | Adviora](https://adviora.ai/knowledge-hub/ai-crawler-access-audit-robots-txt): An AI crawler access audit checks which AI user agents your site allows, agent by agent, because every major provider runs separate crawlers for model training and for retrieval. Blocking GPTBot, ClaudeBot or Google-Extended limits training use; blocking OAI-SearchBot, Claude-SearchBot or PerplexityBot removes you from ChatGPT, Claude and Perplexity answers. A proper audit reads the live robots.txt on every subdomain, verifies agents against published IP lists, checks WAF and CDN rules, and looks for nosnippet or max-snippet rules that exclude pages from AI Overviews even when crawling is allowed.
- [Orphan Pages: Find, Fix and Reclaim Lost Link Equity](https://adviora.ai/knowledge-hub/orphan-pages-seo): An orphan page is a URL with no internal inbound links anywhere on the site, as discovered by a crawl that starts from your homepage rather than from your sitemap. It can still sit in the XML sitemap, still be indexed, and still receive external links and direct traffic. Orphaning is a discovery and importance problem rather than an indexing status: the page exists, but nothing on your own site vouches for it.
- [Modern Search Metrics Glossary: AEO, GEO and AI Scores | Adviora](https://adviora.ai/knowledge-hub/modern-search-metrics-glossary): Modern search metrics fall into four classes. Standards are published and comparable everywhere: Core Web Vitals thresholds of LCP at or under 2.5 seconds, INP at or under 200 milliseconds and CLS at or under 0.1, measured at the 75th percentile. First-party metrics are reported directly by Google Search Console: clicks, impressions, click-through rate and average position. Observed or sampled metrics, such as citation coverage and share of model, depend entirely on your sampling method. Vendor composites — AEO Score, GEO Score, AI Visibility Index, Domain Rank, spam score, Trust Deficit Score — are proprietary and only meaningful as a trend within one tool. Never benchmark a vendor composite against another vendor's number.
- [Mobile Render Failures: How to Diagnose and Fix Them | Adviora.ai](https://adviora.ai/knowledge-hub/mobile-render-failures): A mobile render failure is a page that responds successfully but produces no usable content in a mobile rendering engine. The HTML arrives; then the JavaScript fails, a required resource is blocked, the viewport is misconfigured, lazy-loaded content never triggers, hydration throws an error, or the renderer times out. Because the status code is 200 and the desktop view looks fine, the failure is invisible to every standard report. Under mobile-first indexing, what fails to render is what fails to rank.
- [Content Gap Analysis: Find What Competitors Rank For](https://adviora.ai/knowledge-hub/content-gap-analysis): Content gap analysis is the practice of finding queries your audience searches where a competitor is visible and you are not, then deciding what to publish. Done properly it separates four gaps: keyword gaps where you are absent, coverage gaps where a page exists but does not answer the query, intent gaps where the page targets the wrong stage, and format gaps where the results page wants an asset type you have not produced.
- [Marketing Intelligence Loop: Data to Diagnosis to Execution](https://adviora.ai/knowledge-hub/marketing-intelligence-loop-explained): A marketing intelligence loop is a repeatable cycle with five stages: collect data from verified connectors, build a structured knowledge base of the business and its audience, identify gaps by scoring that knowledge against an explicit benchmark, convert the gaps into a prioritised strategy, then recalibrate using the measured delta after changes ship. Most marketing stacks stop at stage one, because a dashboard reports state but never closes the loop from diagnosis to action to verified impact.
- [E-E-A-T Explained: Google's 4 Quality Signals Decoded](https://adviora.ai/knowledge-hub/eeat-explained-checklist): E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness — the framework Google's search quality rater guidelines use to judge content quality. Google's own framing is that "trust is most important. The others contribute to trust, but content doesn't necessarily have to demonstrate all of them." E-E-A-T is not a score Google computes or publishes. Any numeric E-E-A-T score is a vendor proxy built from observable signals: authorship, citations, contact detail and policy pages.
- [Client Knowledge Base: Why AI Marketing Fails Without One](https://adviora.ai/knowledge-hub/what-is-a-client-knowledge-base): A client knowledge base (CKB) is a single, verified store of everything an AI system needs to reason about a specific business: legal and business facts, products, locations, connected analytics data from GA4 and Search Console, the competitor set, evidence-based personas, brand guidelines and compliance constraints. Without it, a language model produces confident, generic, unverifiable marketing advice. With it, every recommendation is grounded in that company's own data and can be traced back to a source.
- [Buyer Personas from GA4 and Search Console Data | Adviora](https://adviora.ai/knowledge-hub/data-derived-buyer-personas-ga4): A data-derived buyer persona is built from observed behaviour rather than workshop assumptions. Google Search Console supplies the demand side — queries, pages, countries and devices — with the query dimension revealing actual intent. GA4 supplies the behaviour side: source, medium and campaign, landing page, page title and event parameters. Demographics such as age and gender only appear in GA4 when Google Signals is enabled, so behavioural segmentation is the more reliable foundation. Motivation and friction are then inferred from those patterns, and labelled as inference.
- [Broken Backlink Recovery: The Fastest Authority Win | Adviora](https://adviora.ai/knowledge-hub/broken-backlink-recovery): A broken backlink is an external link pointing at a URL on your site that no longer resolves — it returns 404, 410, a soft 404, or redirects into a dead end. Recovery is fast because you control the destination and need no outreach: restore the page if the content still has a job, 301 to the closest genuine equivalent if it does not, and leave it 410 when no equivalent exists.
- [Backlink Health 101: DoFollow Ratio & Referring IPs | Adviora](https://adviora.ai/knowledge-hub/backlink-health-basics): Backlink health is the quality and diversity of the sites that link to you, not the raw number of links. Judge it on referring domains rather than total backlinks, on whether links were given editorially rather than bought, on the spread of referring IPs and subnets, and on whether anchor text reads like something a human wrote. DoFollow ratio and Domain Rank are descriptive vendor metrics — useful for comparison, not targets to engineer.

### Authors

- [Organisation](https://adviora.ai/author/organization)
- [Vivek Kishore Verma](https://adviora.ai/author/vivekkishoreverma): CEO | Education & Tech Platforms | Institution Builder | AI for Learning & Governance | Driving Scalable Education Solutions