AI visibility, answered plainly.

The Visibility Snapshot is €499, paid up front, with no call required first. That covers 100 questions run three times each across three AI systems — 900 real answers, read and counted, delivered as a report in 3 working days. Larger Visibility Audit engagements are scoped per client and quoted individually, because the matrix size depends on your category.

Because a fixed scope can carry a fixed price. The Snapshot is the same size of job for every client, so quoting it individually would only add a sales call neither of us needs. Engagements that genuinely vary in size are quoted properly instead of hidden behind a form.

A 900-answer measurement of how AI systems describe and recommend your brand, who they name instead of you, which sources they lean on, and a prioritized list of what to change. It is a report you can act on, not a dashboard login.

They solve different problems. A monitoring tool tells you what your numbers are doing, every day, for a monthly fee — useful once you already know what to fix and have someone to fix it. An audit tells you what to fix and why it matters commercially. Most teams need the second thing first, and many find they do not need a subscription at all.

No. The Snapshot is a one-off purchase with no renewal and nothing to cancel. Some clients repeat it every six months to track whether model updates moved their position; that is a decision you make later, not a commitment you make now.

3 working days from confirmed payment and a complete brief. The brief is a short form about your category and competitors — the measurement cannot start until we know which questions matter to your buyers.

Yes. Avisible is based in Helsinki and works with Nordic and European clients, in several languages. Language coverage matters more than location here — AI systems answer differently in Finnish than in English about the same brand, which is exactly the gap most measurement misses.

AI search visibility describes a brand's presence and prominence in AI chatbots and search engines' generated answers. It measures how often and how positively AI mentions, cites, or presents your brand when responding to user queries.

It's estimated that by 2026, about 25% of organic traffic will shift to AI assistants. Without optimization for these "answer engines," your brand becomes invisible to a significant portion of your audience.

An "answer engine" refers to AI platforms (like ChatGPT, Google's SGE, Bing Chat/Copilot, Claude, or Perplexity) that provide direct answers instead of link lists.

AEO is the practice of optimizing content so that AI answer engines prefer and cite your brand more frequently. The goal is to earn mentions, citations, and direct answers.

GEO refers to optimizing web content for search engines that use generative models. In practice, GEO and AEO overlap significantly, and the terms are often used interchangeably.

Traditional SEO aims for rankings in "blue links." AEO/GEO seeks to be the information source in AI answers — success is measured by mentions and citations rather than clicks.

It describes the shift in focus: alongside traditional Share of Voice comes Share of Answer, which measures how often your brand is mentioned in AI responses.

Chatbots like ChatGPT, Claude, and Gemini; search-embedded experiences like Google SGE and Bing Chat/Copilot; and answer-focused platforms like Perplexity.ai and You.com.

Very rapidly. Over 20 new AI visibility tools have emerged, and major players continuously release new integrations (e.g., Gemini in search, Copilot in Windows).

Currently, click-through rates are very low (around 6-8%). That's why it's important to drive action directly within the answers.

Share of Answer (SoA), Answer Presence Rate, Citation Frequency, Answer-to-Action Rate, and AI Referral Traffic are key metrics.

Share of Answer (SoA) tells you how often your brand appears in AI responses relative to competitors in a specific set of questions.

The percentage of relevant queries where your brand is mentioned at least once. E.g., 10 mentions out of 100 questions = 10%.

How often AI cites your website as an information source over a specific period.

The quality of the citation: was your link the only source, its position in the answer, and presentation style (positive/neutral/negative).

Your position in AI listings (e.g., "Top 3 tools"). First position is usually most impactful.

How many AI answers mentioning your brand lead to desired actions (click, call, registration).

In GA4 by tracking referrals from AI domains (e.g., chat.openai.com, Bing's chat sources).

A topic or question where competitors are mentioned in AI answers but you're not — helps identify content gaps.

By categorizing AI mentions as positive, neutral, or negative tone (often using AI-based analysis).

No. As of September 2025: there are no unified standards; document the definitions you use.

Define use cases and create a comprehensive, business-important question set (awareness, reputation, comparison, transaction).

Answers vary between models and over time. Multi-platform testing gives a complete picture.

Repeat queries multiple times/day and use averages to smooth out randomness.

Location and history can influence results. Clear history, use incognito mode, or neutral profiles.

Date/time, platform, exact question, mention details, links, position in answer.

API scales, UI reflects real experience. Often a combination works best.

Manual sampling, API automation, UI scraping (note terms), and/or specialized tools.

Yes. Competitor comparison is essential for SoA calculation and gap identification.

Full cycle monthly/quarterly; most important queries weekly to detect changes.

Trust and authority (E-E-A-T). AI favors sources that humans already trust.

Publish research, use data and sources, highlight expertise, and earn third-party mentions.

Lists, guides, tables + Schema.org markup (FAQ, HowTo, Product).

Conversational but concise. "Quotable sentences" that AI can use as-is.

Yes. Authoritative question-answer format works excellently.

Give a direct answer first, then a light CTA (e.g., directing to calculator or booking).

Yes. Local facts (location, hours, phone) increase AI's confidence.

Yes. Data, expert quotes, and sources increase citation potential.

Comparison content answers complex questions and helps get included in answers.

Publish current corrections in your own channels, preferably in FAQ format.

Embed actions in answers: move users from answer to action without requiring a click.

Build CTA into content (e.g., "Book demo on our site"). AI may include it.

Yes. Product/FAQ/HowTo enables functional information to be pulled into answers.

Keep information consistent (location, hours, phone). AI can offer direct action.

A proposed standard (e.g., `.well-known/ai.json`) where you publish machine-readable facts and Q&As directly from source.

Positive reviews serve as trust signals that AI can cite.

Yes, through plugins/platforms (e.g., OpenTable, Reserve with Google).

Treat AI traffic as its own segment; create targeted message/CTA for it.

Yes. Answer the question and guide to the next logical question/step.

Actions that work almost without clicks: call, email, direct booking.

Yes, the market is emerging with dozens of tools already available.

OmniSEO (WebFX), Ahrefs Brand Radar, Profound, Scrunch AI, Otterly.ai, Rankscale, and enterprise platforms like BrightEdge.

Mention and citation tracking, competitor visibility, SOV/SoA measurement, sentiment, and multi-model monitoring (ChatGPT, SGE, Perplexity).

Methods vary: UI scraping, official APIs, third-party panels. Methodology affects reliability.

Price range is wide: from affordable ($20-30/month) to mid-tier and enterprise solutions.

Multi-language/multi-region tracking is critical (e.g., Profound supports 20+ languages).

Market is young; methods and results vary. Do demos and due diligence.

Yes. Ahrefs (Brand Radar), Semrush, and Moz have added AI visibility features.

Specialized tools go deeper into AI metrics; suites bring AI metrics into familiar workflow.

Single-number indices (e.g., RBI, Presence Score) that summarize broad visibility for executives.

High digital adoption and early AI search adopters — part of the audience has already shifted.

English-focused training can weaken coverage of smaller languages. Quality local content is essential.

Yes. Visibility can differ significantly by language.

Norwegian for "visibility in AI search"; Swedish discusses "Generativ sökmotoroptimering (GEO)".

Produce local availability and selection content — AI considers it in follow-ups.

If/when they come, optimization for them may be a separate need.

AI readily mentions 1-2 major players — differentiate with niche value (e.g., affordable alternative).

Yes — publish content explaining availability and local alternatives.

Some support (å, ä, ö etc. characters) — important for accurate tracking.

Strong consumer protection emphasizes accuracy and sentiment monitoring.

AI answers' share of searches grows — traditional traffic may decrease.

Yes. Context retention favors "favorite brands" in future answers.

Yes. SGE has already tested ads — "ads in answer" is coming.

Likely. E.g., Search Console may eventually separate AI visibility.

Transparency, source citations, and licensing may increase.

Copilot and potential Apple integrations create new ecosystems to optimize for.

Yes — more complex natural language questions, less multi-step browsing.

Attempts exist, so authority signals are emphasized as protection.

Yes. AI touchpoint will become part of multi-touch attribution.

Stay agile: measure often, publish quality content, and adapt to new channels.

LLM responses can change unpredictably with updates.

Use rolling averages, diversify across platforms, and monitor continuously.

It may violate terms of service. API-based solutions are safer.

Incorrect information can damage reputation — publish correct facts proactively.

Possible: country bias, paywalls etc. may affect representation.

Usually no. Blocking removes visibility in answer engines entirely.

Yes. Connect KPIs to business outcomes, not vanity numbers.

In regulated industries, AI may surface your content without context — monitor extra carefully.

A/B test FAQ: traditional vs. AI-optimized (concise, citable, schema). Monitor which AI uses.

Deep dive one competitor: ask AI comparison questions and record differences.

Add schema to missing, AI-relevant pages and monitor impact on citations.

Early movers "own tomorrow's conversations" and build sustainable advantage.

No. AEO/GEO complements modern SEO.

Urgency and adaptability. Measure, learn, repeat.

Behavior is changing. Connect KPIs to assisted conversions and Answer-to-Action metrics.

Humans first — but make content machine-friendly with structure and sources.

Quality. One recommendation in first position is more valuable than multiple passing mentions.

"Be kind to machines. Give them facts." Write clearly and verifiably.