PRESENSS is an AI Visibility Intelligence platform that measures and optimizes how a brand appears inside the answers of the 9 leading AI engines: ChatGPT, Gemini, Claude, Perplexity, Grok, Copilot, DeepSeek, AI Overviews and Meta AI. It produces the PRSNSS Score (0–100) and uses synthetic personas plus the Presence Agent to grow brand presence in AI.

What is GEO and how is it different from SEO?

GEO (Generative Engine Optimization) is the discipline of making a brand visible inside AI-generated answers — not in classic search result links. While SEO optimizes for ranking on Google or Bing, GEO optimizes for being mentioned, cited and recommended by ChatGPT, Gemini, Claude, Perplexity, Grok, Copilot, DeepSeek, AI Overviews and Meta AI.

How does PRESENSS measure AI visibility?

PRESENSS runs thousands of real queries across 9 AI engines using synthetic personas matched to your target audience. For every response it analyzes presence (mentioned or not), position (where the brand appears), sentiment, and context (recommended, compared, or merely listed). The result is the PRSNSS Score, on a 0–100 scale, segmented by engine, language, intent and persona.

What is the PRSNSS Score?

The PRSNSS Score is a 0–100 metric of a brand's visibility inside AI answers. It blends four components: Presence (35), Position (25), Sentiment (20) and Context (20), weighted by the market share of each AI engine (ChatGPT 18%, Gemini 16%, Claude and Perplexity 14%, Grok, Copilot and AI Overviews 10%, DeepSeek 8%).

Which AI engines does PRESENSS support?

PRESENSS supports the 9 leading AI engines: ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), Perplexity, Grok (xAI), Copilot (Microsoft), Google AI Overviews, DeepSeek and Meta AI (Llama).

Does PRESENSS track brand visibility inside Grok?

Yes. PRESENSS runs persona-driven queries against Grok (xAI) and scores presence, position, sentiment and context exactly as it does for ChatGPT or Gemini. Grok weighs 10% of the blended PRSNSS Score. Because Grok leans heavily on real-time social signals, PRESENSS also surfaces Reddit and X discussion opportunities as concrete Presence Agent actions for brands with low Grok visibility.

How do I get my brand cited by AI Overviews and Meta AI?

AI Overviews and Meta AI reward structured, citable content: FAQ and Product schema, clear factual statements near the top of the page, comparison tables, and mentions on third-party sources those engines already cite. PRESENSS identifies which external domains each engine cites for your category through citation tracking, then the Presence Agent generates the schema, content briefs and outreach needed to appear in them.

What are synthetic personas?

Synthetic personas are AI-generated user profiles — startup founder, enterprise buyer, technical user, marketing manager, local consumer — each with its own intent, language and search behavior. PRESENSS uses them to simulate how different real customers would query AI engines about your category.

What is the Presence Agent?

The Presence Agent is PRESENSS's autonomous optimization layer. It turns recommendations from the PRSNSS Score into concrete actions — content briefs, schema, citations, outreach — and either executes them on verified domains or delivers downloadable assets. It is included in the Business and Enterprise plans.

How much does PRESENSS cost?

PRESENSS has six tiers: Free (€0, 5 simulations/month, 2 AI engines), Starter (€49, 3 engines), Growth (€149, 5 engines), Pro (€299, 7 engines + citation tracking + API), Business (€499, all 9 engines + Presence Agent with 100 actions/month) and Enterprise (custom).

The Future of SEO in an AI-First World

AI engines are reshaping how people find information online. What happens to traditional SEO — and what does marketing look like in a world where AI recommends instead of ranks?

Every SEO team is now asking the same question: is our discipline slowly dying, quickly dying, or evolving into something bigger? The honest answer is more useful than the panicked one. This is a working analysis of what is actually changing, what is not, and how to position your marketing organization for what comes next.

What is actually changing

Behaviour — an increasing share of research queries now start in ChatGPT, Perplexity, or Gemini rather than Google. This is real and accelerating.
SERP composition — AI Overviews now occupy the top of a majority of informational Google queries in the markets where they have rolled out, compressing traditional ranking real estate.
Discovery mechanics — recommendation-shaped answers are replacing list-shaped answers for a growing fraction of high-intent queries.
The definition of "ranking" — being one of 3–5 named brands in an AI answer is functionally the new page-one position.

What is not changing (yet)

The underlying signals — E-E-A-T, authoritative content, backlinks, structured data, crawlability, factual accuracy. AI engines use the same underlying quality signals SEO always cared about.
The importance of a discoverable, crawlable site — every retrieval-augmented AI engine still needs to fetch web content.
Branded search demand — AI recommendations drive branded search lift, not away from it.
The role of authoritative content — depth and quality remain foundational.

Marketing organizations that assume SEO is "over" are misreading the shift. The channels are multiplying, not collapsing.

Three future scenarios

Scenario 1 — Parallel channels (most likely, 2024–2028)

Google Search remains dominant for many query classes, especially transactional and local. AI search grows to a comparable share for research and evaluation queries. Both channels co-exist; brands optimize for both.

Implication: SEO and GEO teams operate side by side. Content strategy serves both. Attribution models need to expose both channels.

Scenario 2 — AI integration into Google (happening now)

Google Search itself becomes more AI-first: AI Overviews expand, Gemini surfaces more deeply in results, Knowledge Graph plays a larger role in answer synthesis. Distinguishing SEO from GEO becomes less meaningful for Google-specific work — it is all "Google visibility."

Implication: SEO teams must add GEO tactics (entity optimization, extractability, schema depth) as core skill set rather than optional add-on.

Scenario 3 — Full AI search displacement (unlikely near-term)

AI engines replace search engines entirely as the primary discovery surface. Google as a link list becomes vestigial. Discovery is entirely recommendation-driven.

Implication: GEO becomes the primary discipline; classical SEO shrinks to a maintenance role. This scenario is unlikely within the next five years but plausible over a longer horizon.

Realistic planning assumes Scenario 1 or 2 for the next 3–5 years, with continuous drift toward more AI-mediated discovery over time.

What marketing teams need to do now by role

Marketing directors and CMOs

Add PRSNSS Score to executive dashboards as a peer KPI to organic traffic.
Reallocate a share of SEO budget (start with 15–25%) to explicit GEO work.
Ensure someone owns cross-team GEO accountability with a real mandate.

Content teams

Structure every piece to serve both Google ranking and AI extraction: direct answers first, question-shaped H2s, tables, FAQ blocks with schema.
Shift discovery from keyword research to AI query research (persona-driven).
Increase depth-per-piece, decrease volume — cluster building outperforms scattered publishing.

Technical SEO

Add llms.txt, complete schema coverage (Organization, Product, FAQ, HowTo, Article, BreadcrumbList), and AI crawler access audits to the standard toolkit.
Own the WAF/bot-management surface — most silent GEO failures live here.
Instrument AI referral tracking and self-report attribution.

Link builders and PR

Shift target list toward AI-cited sources: Wikipedia, Wirecutter, Reuters, G2, Reddit, YouTube, category-specific expert sites.
Prioritize earned mentions (with or without links) over quantity of links.
Build data-driven pitching around proprietary research.

The skill set that wins

Traditional SEO fundamentals (technical, on-page, links)
GEO tactics (entity, extractability, schema depth, citation strategy)
Data literacy for cross-channel measurement
Brand strategy — because "who you are" now shapes what AI engines say about you more than tactics do

Marketers who own all four will run marketing in 2028. Marketers who own only the first will run smaller and smaller programs.

FAQ

Should we cut our SEO budget?

No. Reallocate a share of it toward GEO capability, but do not cut. SEO substrate feeds GEO retrieval. Kill SEO and GEO starves.

Are AI engines going to make original content useless?

The opposite. AI engines can only recommend what humans have written. Brands that produce genuinely useful original content become the sources those engines draw from — and get recommended in return.

When will Google fully replace its search results with AI answers?

Never entirely, in a meaningful timeframe. Google has too many transactional and local query classes where a list of links is the correct answer. Expect continued layering — more AI on top, links still available — for the foreseeable future.