SearchTides v5 methodology
The AI Undercurrent
When someone asks ChatGPT for the best option in your category, the answer doesn’t come from ten blue links. AI retrieves information from many sources, weighs how credible they are, writes one answer, and decides which brands to name and in what order. That hidden process is the undercurrent. Our methodology makes it measurable.
Are you being mentioned?
When AI answers questions in your category, does your brand appear, on which platforms, for which topics, and in what position?
What is AI saying about you?
How does AI describe you, and does that match your positioning or tell a different story?
What can you do about it?
Which specific changes to your site, content and wider presence will shift how AI talks about you?
The framework
48 metrics across 6 layers
Each layer answers one question about your brand’s relationship with AI, and each stage depends on the one before it. If AI can’t reach your content, it can’t understand it; if it can’t extract it, it can’t repeat it.
- L0GateAccessCan AI find you?4 metrics
- L1IdentityDoes AI know you?10 metrics
- L2LanguageYour words or theirs?7 metrics
- L3CorroborationDo sources agree?8 metrics
- L4StructureCan AI extract it?8 metrics
- L5IntegrityIs it accurate?11 metrics
How we score
One to five. No hiding.
Every metric is scored from 1.0 to 5.0, with one decimal. A 2.0 means “this needs work.” A 4.0 means “this is strong.” No percentages and no scores out of 100 that could mean anything.
Access is a gate. If any Access metric scores 1.0, your overall score is capped at 3.0, however well everything else performs. A hotel with a locked front door doesn’t get guests, no matter how good the rooms are.
Confidence is a chain, not a sum. If every stage of AI’s process is 90% confident, ten stages end up at 35%. One broken layer undoes the good ones, so we fix the weakest layer first. It’s better to be a straight C student than to have three As and an F.
Eight metrics are marked critical: failure there blocks an AI recommendation outright. If you only fix eight things, fix those.
- 3.8L0 Access
- 2.8L1 Identity
- 1.8L2 Language
- 2.6L3 Corroboration
- 1.2L4 Structure
- 2.0L5 Integrity
Layer by layer
What each layer measures
Access: Can AI find you?
Whether AI systems can physically reach, crawl and read your website. Access is a gate: if AI can’t get in, nothing else you do matters.
- L0.1AI Crawler AccessCriticalWhether robots.txt blocks any of the known AI crawlers, such as GPTBot, ClaudeBot and PerplexityBot.
- L0.2Google Index StatusWhether your key pages are indexed and discoverable.
- L0.3SSR / Pre-renderingWhether your content is in the raw HTML, not only after JavaScript runs.
- L0.4llms.txtWhether an llms.txt file gives AI crawlers a structured overview of your business.
What good looks likeAI crawlers can reach every important page, the content is in the raw HTML, and an llms.txt file gives AI a structured overview of your business.
Identity: Does AI know you?
Whether AI models correctly understand your brand, positioning, services, locations and market.
- L1.1Core Positioning AccuracyCriticalWhen AI describes your brand, does it get the positioning right?
- L1.3ICP CoverageDoes AI know who your customers are?
- L1.6Geographic AccuracyDoes AI know everywhere you operate?
- L1.10Notability SignalsIs there enough evidence (reviews, press, awards) that your brand is notable?
What good looks likeAsk AI “Tell me about [your brand]” and it accurately describes your positioning, services, locations and audience, and treats you as an established entity.
Language: Your words or theirs?
Whether AI echoes your brand messaging or substitutes its own. Most brands discover AI is writing their story in words they’d never choose.
- L2.1Echo Phrase AlignmentDo your key brand phrases appear in AI responses?
- L2.4Sentiment Bias ScoreWhat’s the emotional tone when AI mentions you?
- L2.6Canonical Language AdoptionHave you defined the exact sentences you want AI to use, and are they getting through?
What good looks likeAI repeats your own positioning phrases, with a positive tone, because your content gives it clear language to echo.
Corroboration: Do sources agree?
Whether independent, trusted sources back up what you say. Below the corroboration threshold AI hedges (“claims to be”); above it, AI asserts (“is”). The flip happens at two to three independent sources per claim.
- L3.1Superfeeder PresenceCriticalAre you present on the platforms AI draws from most, such as YouTube, Reddit, review sites and industry publications?
- L3.3Citation Portfolio BreadthHow many of the 7 AI platforms cite you?
- L3.8Non-Branded Share of VoiceDo you appear when people ask about your category without naming you?
What good looks likeAll 7 AI platforms cite you, and at least two or three independent sources confirm each key claim, so AI states facts about you instead of hedging.
Structure: Can AI extract it?
Whether your content is formatted so AI can extract and quote it. AI pulls specific passages and facts; pages that lead with marketing copy give it nothing to use. This is where most brands fail, and the fastest layer to fix.
- L4.1Fan-Out CoverageCriticalWhen AI breaks a query into sub-questions, can your site answer them?
- L4.3Answer-First StructureDoes your content lead with the answer?
- L4.4FAQ ExtractabilityIs there FAQ content, with schema, that AI can lift as question-and-answer pairs?
- L4.5Schema ImplementationDoes structured data describe your entity, locations, ratings and services?
What good looks likePages open with facts, cover the sub-questions buyers ask, and carry FAQ and organization schema that AI can extract directly.
Integrity: Is it accurate?
Whether what AI says about you is accurate, consistent and fair. If your own site contradicts itself, AI picks the wrong fact or stops citing you.
- L5.1Hallucination FrequencyCriticalHow often does AI state incorrect facts about you?
- L5.2Contradiction RiskDoes your site say different things on different pages?
- L5.7Transparency SignalsAre pricing and policies clear and visible?
- L5.9Negative Narrative CounterWhen AI surfaces negative themes, does your site address them directly?
What good looks likeAI states accurate facts consistently, your site has no internal contradictions, and common concerns have a clear answer on your site.
Where the data comes from
Seven AI platforms, monitored continuously
We track how AI responds to thousands of prompts in your category every day, using Profound for AI response monitoring, plus search ranking data, citation crawling, a technical crawl of your site, and manual testing from different countries.
We measure non-branded prompts only: “best boutique hotel in Crete,” not “tell me about your brand.” Showing up when nobody names you is the real measure of whether AI recommends you.
- ChatGPT
- Google AI Mode
- Google AI Overviews
- Google Gemini
- Perplexity
- Microsoft Copilot
- Meta AI
Why it’s different
Traditional SEO vs the AI Undercurrent
| Traditional SEO | AI Undercurrent | |
|---|---|---|
| You optimize for | Google’s ranking algorithm | How 7 AI models describe and recommend your brand |
| You measure | Rankings, organic traffic, backlinks | Mention rate, position in answers, sentiment, echo rate, citation sources |
| Success looks like | Position #1 for target keywords | AI recommends you by name, in accurate and positive language |
| You control | On-page SEO, links, technical SEO | Content structure, canonical language, corroboration, schema |
| Time to impact | 3–6 months | 2–4 weeks for content changes to show up in AI answers |
| Competition | 10 blue links on page 1 | Often one answer. You’re in it or you’re not. |
Traditional SEO still matters: it feeds the web content AI draws from. AI visibility needs the extra work SEO doesn’t cover.
What you get
Not just a score. A plan and the assets to fix it.
The score is a compass. Every audit comes with a prioritized task list and ready-to-deploy assets, then ongoing monitoring so you can see AI respond to each change.
- AI Visibility Scorecard every layer and metric, with the evidence behind each score
- Executive Game Plan what’s working, what’s broken, and a three-phase fix
- Head-to-head and visibility rankings where competitors beat you, by topic and platform
- Canonical Language Set the exact words you want AI to use, ready to paste
- Schema, llms.txt and FAQ content files you can deploy the same day
- Outreach brief which sources to earn citations from, and why
Topic · How AI visibility works · part of the AI Visibility Engineering guide
Go deeper on how AI visibility works
- Guide chapterWhat is AI visibility and how it differs from SEO
- Guide chapterHow to measure AI visibility
- Guide5 Critical Steps for Building an AI Brand Presence in a Post-Google World
- Guide8 Essential AI Visibility Services to Audit and Optimize Your Digital Footprint
- GuideProfound for AI Visibility Review: What the Dashboard Shows and What We Do With It
- How we helpAI Undercurrent: The complete program: a fully customized, seven-month engagement to make your brand AI’s default choice.
- Case studyA leading iGaming brand holds the #1 spot in AI visibility
- Case studyCreditNinja’s path to AI-first growth