Answer Engine Optimization & AI Mentions

Get your brand mentioned, cited and recommended by AI.

Search is moving inside AI assistants. We make sure that when ChatGPT, Gemini, Perplexity, Copilot and Google's AI answers talk about your category, they talk about you. A proprietary framework, our own GEO audit tool, and native integrations with the best platforms, for SMBs and enterprises alike.

47%of searches show an AI answer
85%of AI mentions from third parties
4.4xAI referral vs organic
5+AI engines tracked
Working with
Proof, not just a badge

A real discipline, on a proven agency.

What we bring is real capability: a proprietary framework and stack, native integrations to the tools that measure AI visibility, and the weight of a full-stack agency behind every engagement.

Wise Pirates runs performance, data and AI for a team of 100+ specialists and more than 500 brands since 2018. We are a Google Marketing Platform and Google Cloud partner, ISO 27001 certified, listed among Europe's leading digital agencies and named a Best AI Development Company to Watch in 2026. AEO runs on everything we already do well: entities, content, digital PR, analytics and AI.

Proprietaryframework and stack
NativeSE Ranking, Similarweb
500+brands since 2018
ISO 27001certified
SEO is no longer the whole game

AEO, GEO and AI mentions, explained without the hype.

Four related ideas, one outcome: being the brand the AI puts forward. Here is what each actually means.

SEO ranks your pages

The classic game: earn rankings and clicks on the results page. It still matters, and the authority it builds feeds everything below. It is just no longer the finish line.

AEO wins the answer

Answer Engine Optimization is about being the extracted answer, in Google's AI Overviews, in featured snippets and inside assistant replies, so you are the response, not a link buried under it.

GEO shapes the model

Generative Engine Optimization shapes how models understand your brand as an entity and decide to recommend it. Mostly an off-site game of authority, entities and trust.

AI mentions are the scoreboard

How often, how prominently and how positively assistants name you. Around 85% of those mentions come from pages you do not own, which is exactly why most brands are invisible.

The brief we always get

"Content for ChatGPT."

It is what most managers ask for, and it is the wrong brief. Getting recommended by AI is not a ChatGPT content project. It is a strategy across every engine and every surface where the model learns about you.

Not just ChatGPT

ChatGPT is one engine. Gemini, Perplexity, Claude, Copilot and Google's AI answers each cite and recommend differently. Optimize for one and ignore the rest, and you leave most of the market on the table.

Not just content, and not just your site

Website content matters, and so does your app content, app store and in-product text. But content is one input, not the whole game, and most of what the model repeats it learned somewhere else.

Entities before articles

Before a single new page, the model has to know who you are. Consistent entity data, schema and knowledge sources come first, so the content it does read is attributed to the right brand.

A full, multi-surface strategy

Website, app, reviews, communities, digital PR and entities, tuned per engine and measured continuously. That is what actually moves you into the answer, and it is what we run.

The scoreboard

See exactly where you stand, engine by engine.

This is the picture WAVE builds for your brand and your real competitors, across visibility, sentiment and AI traffic. Toggle the metric.

AI Visibility Indexillustrative
Your Brand
72
Rival A
84
Rival B
58
Rival C
46
Rival D
38
Rival E
29
Illustrative example. On WAVE we run this on your real brand, category and competitors, across closed and open-source AI.
The shift

The AI answer is the new front page. Most brands are invisible on it.

The click is vanishing

AI answers, not blue links
  • Around 47% of Google searches now return an AI answer
  • Click-through on those queries has fallen sharply
  • Attention lands on the answer, not the list

Buyers decide inside the assistant

Before any site visit
  • 94% of B2B buyers use LLMs to evaluate
  • Many start with a chatbot, not a search
  • Your shortlist is formed before the first click

Mentions beat rankings

Cited, not just ranked
  • You can rank first and never be named by the AI
  • Being recommended is the new visibility
  • AI referral converts around 4.4x organic

Figures are 2026 industry benchmarks, not guarantees. The direction is not in doubt.

Prompt · "Who should we shortlist in our category?"
A few names come up consistently.Buyers weigh them on results, reviews and fit.Among the leaders: Your Brand,cited for its outcomes and strong third-party reviews.
Our framework

SCALE: our method to get you into the answer.

A proprietary, repeatable framework, run on our WAVE stack. Five stages, modeled differently for your size, market and risk, but always aimed at the same outcome: being the brand the AI names.

Not sure where you stand? Start with a custom AI audit on our WAVE tool, and we will show you, engine by engine.

SScan

See where you stand in the models

Audit your AI visibility today: share of voice across engines, where you are cited and where a competitor is named instead, and the prompts that actually matter for your business.

CConnect

Build the entity and knowledge foundation

Consistent brand data across schema, Wikidata, Wikipedia, Crunchbase and the profiles models trust, so the AI maps the right company to the right facts.

AAnswer

Make content the models can lift

Answer-first pages, comparison tables with real numbers, quotable statistics and named cases, structured for extraction, not just for ranking.

LLift

Earn the third-party presence that drives mentions

Reviews on G2, Capterra and Trustpilot, genuine presence on Reddit and communities, listicles and comparison pages, and digital PR, because around 85% of AI mentions come from pages you do not own.

EEvaluate

Measure, learn and repeat

Continuous tracking of mentions, citations, sentiment and AI referral traffic, because model answers are non-deterministic and move week to week.

What winning looks like

From absent, to the first name the AI gives.

The same buyer question, before and after a SCALE program. This is the shift we engineer, in the place the decision now happens.

Today
"Best providers in your category for 2026?"
Here are some widely used options: Competitor A, Competitor B and Competitor C, each strong for different needs.
After SCALE
"Best providers in your category for 2026?"
Leading choices include Your Brand, frequently cited for its results and reviews, alongside Competitor A and Competitor B.

Illustrative, not a specific result. The mechanism is real: get into the entities, content and third-party sources the model trusts, and you move from unmentioned to recommended.

Our proprietary tool

WAVE: custom AI audits, across closed and open-source AI.

WAVE is our proprietary GEO tool. It runs custom AI audits, preference-pattern identification and content optimization across both closed-source and open-source generative AI, from Google, OpenAI, Perplexity and Anthropic to Meta, with tracking granular enough to reach the product level and a self-improving loop that sharpens over time.

Closed and open source

Most tools watch only the big closed models. WAVE covers both, including open-source ecosystems like Meta's, where a growing share of AI visibility is decided.

Preference patterns, not just mentions

WAVE identifies why a model prefers one brand over another, so we know exactly what to change, not only whether you were named.

Granular to the product level

Visibility tracked down to individual products and use cases, not only the brand name, so you see where you win and where you disappear.

Self-improving

The audit learns from every run and from a shared research base, so its recommendations get sharper as the model landscape shifts.

WAVEGEO audit
GoogleGemini
OpenAIChatGPT
Perplexityanswers
AnthropicClaude
Metaopen source

WAVE runs alongside native connections to SE Ranking and Similarweb and the leading AI-mention platforms, so every audit is grounded in real mention and traffic data, not a lab result.

The part most agencies skip

You do not own where the AI learns about you. So we work there.

Around 85% of AI brand mentions come from third-party pages. Tuning your own site is table stakes. The mentions are earned off it, and that is where we spend the effort.

Reviews and marketplaces

G2, Capterra, Trustpilot and category directories. Brands present on four or more of these are far more likely to be cited by the models.

Communities and Reddit

Genuine participation where the models pull real opinions from, earned the honest way, not planted posts that get filtered out.

Listicles and comparisons

The best of and alternative to pages that assistants quote at the exact moment someone is choosing between you and a competitor.

Digital PR and authority

Earned coverage, data stories and citations that turn your brand into a source the models trust and repeat.

Visibility is not set and forget

AI visibility decays. So we keep it alive.

Being cited once is not the same as staying cited. Models favour pages that are recent and actively maintained, and a brand named in one answer can be gone from the next. Winning here is a system, not a one-off project.

Freshness is an authority signal

Recently updated pages get cited more often, and the window is tight in fast-moving categories like software, finance and news. Annual updates are the floor, not the target.

Decay, caught early

When citations or traffic on a priority page start to slip, that is the signal to act. We set refresh triggers so decay is caught before it compounds, not months later.

Tracked across many runs

AI answers are non-deterministic, so a single check lies. We monitor mention rate and share of voice across repeated runs and every engine, because consistency is where most brands quietly lose.

Built to be quoted

Answer-first structure, FAQs, schema, clean hierarchy, lists and tables make content easy for a model to extract and trust. As AI agents do more of the searching, retrievability is the new readability. This page is built the same way.

The direction of travel is clear: around half of Google searches already surface an AI summary, and that share is projected to keep rising toward 2028. Strong SEO and strong AEO are the same investment, run as a living loop. Sources in the FAQ.

Measurement, honestly

Share of voice in the models, not vanity metrics.

AI answers are non-deterministic, so we measure frequency across many runs, not a single lucky reply. This is what we actually report.

Mention rate

How often you appear when a buyer asks the questions that matter, tracked per engine over time.

Share of voice

Your citations as a share of your whole category, benchmarked against the competitors you actually lose to.

Sentiment and framing

Not just whether you are named, but how: leader, alternative, cautionary tale, and the sources shaping it.

AI referral and conversion

The traffic and revenue that AI answers send you, tied to GA4, because visibility only counts if it converts.

We do not promise a number. We promise a method, a measurement you can trust, and a trend that moves. Figures on this page are reported industry benchmarks, not guarantees.

Built for your scale

Same goal, a different configuration for SMB and enterprise.

We model the SCALE framework differently for a growing brand and a global enterprise, because the objective is the same but the scope, risk and governance are not. This is a real advantage: matched tooling and framework modeling for similar goals.

Growth and SMB

  • A productized, faster configuration of SCALE
  • Core Scan, essential entity and answer work
  • A starter earned-authority push where it counts
  • A shared tracking dashboard on WAVE
  • Priced to start, built to show movement in weeks

Enterprise

  • The full framework, run continuously
  • Custom prompt sets per market and language
  • Deep integrations and CRM write-back
  • Multi-brand share of voice and competitor tracking
  • Governance, sign-off and a named team

SMB starts with a fixed, productized monthly scope built to show movement in weeks. Enterprise is scoped to your markets, integrations and governance. Different tooling and framework modeling, the same obsession: being the answer.

Where to start

Three focused ways to begin.

See the gap

Custom AI Audit

A fixed-scope Scan on our proprietary WAVE tool: your share of voice across closed and open-source AI, your gaps down to the product level, the competitors named instead of you, and a prioritized plan.

Move the metric

GEO / AEO Sprint

A focused build across Connect, Answer and Lift, aimed at the prompts and mentions that matter most to your business.

Own the answer

Managed AI Mentions

The full SCALE loop, run continuously on WAVE, with monthly reporting, iteration and a team that owns the outcome.

Why Wise Pirates for AEO

Most stop at a dashboard. We run the whole system.

Method, not a monitor

A framework, run end to end

Tracking is the easy part. SCALE takes you from audit to entities, content, earned authority and iteration, the work that actually moves mentions.

Where it counts

We work off your site

Around 85% of AI mentions come from third-party pages. Earned authority is a system for us, not an afterthought most agencies skip.

One view

Proprietary stack, native integrations

WAVE unifies SE Ranking, Similarweb and the best AI-mention platforms into one prioritized backlog, wired to your GA4 and CRM.

Any size

SMB and enterprise, both

A real, productized SMB offer where the market has almost none, and a full enterprise configuration with governance and named teams.

Straight talk

Honest measurement

Non-deterministic answers, benchmarks not guarantees, and we show you the exact prompts we monitor and the method behind every number.

The whole stack

A full-stack Google and performance agency

Part of a team of 100+ specialists, a Google Marketing Platform and Google Cloud partner, ISO 27001 certified, listed among Europe's leading agencies and a Best AI Development Company to Watch in 2026.

Start the conversation

See where you stand in the AI answers

Tell us your category and your main competitors through our contact form. We will come back with where you stand today, engine by engine, and how we get you named, whether you are an SMB or an enterprise.

Contact us →
Frequently asked questions

The questions we hear most.

What is AEO, and how is it different from SEO and GEO?
SEO optimizes how your pages rank and get clicked on a results page. AEO, Answer Engine Optimization, is about being the answer the engine actually shows, in Google's AI Overviews, featured snippets and inside assistant replies. GEO, Generative Engine Optimization, goes wider: it shapes how generative models understand your brand as an entity and decide to recommend it. They share signals with SEO and extend it, they do not replace it.
What do you mean by AI mentions, and why do they matter?
AI mentions are how often, how prominently and how positively assistants like ChatGPT, Gemini, Perplexity and Copilot name your brand when someone asks about your category. It is the scoreboard of AI visibility. It matters because buyers now form their shortlist inside the assistant, often before visiting any site, and AI-referred visitors convert far better than average, around 4.4 times organic in reported studies.
Which AI engines do you optimize for and track?
The ones that decide and refer today: Google AI Overviews and AI Mode, ChatGPT and ChatGPT search, Perplexity, Google Gemini and Microsoft Copilot, with Claude and others added as they gain reach. We track visibility across all of them, because each cites and links differently.
How do you actually get a brand cited by ChatGPT, Gemini or Perplexity?
Rarely by editing your homepage alone. Around 85% of AI brand mentions come from third-party pages, so we build the entity foundation, schema, Wikidata and consistent brand data, make your content easy for models to lift, and then earn presence where the models learn: reviews on G2, Capterra and Trustpilot, genuine communities and Reddit, listicles and comparison pages, and digital PR. That is our SCALE framework.
How do you measure AI visibility if the answers change every time?
Model answers are non-deterministic, so a single reply proves nothing. We run a fixed set of prompts across the engines repeatedly and measure frequency: mention rate, share of voice against competitors, sentiment, and the AI referral traffic and conversions that follow. You get a trend you can act on, not a lucky screenshot.
What is the SCALE framework, and what is WAVE?
SCALE is our proprietary GEO and AEO method, five stages: Scan, Connect, Answer, Lift and Evaluate. WAVE is our proprietary tool at the core of the audit: it runs custom AI audits, preference-pattern identification and content optimization across both closed-source and open-source generative AI, from Google, OpenAI, Perplexity and Anthropic to Meta, with tracking down to the product level and a self-improving loop. The framework is the method, WAVE is the audit engine underneath it.
Do you integrate with our existing tools?
Yes. WAVE integrates natively with SE Ranking, including its AI visibility tracking for brand mentions across AI Overviews, AI Mode, ChatGPT, Gemini and Perplexity, and with Similarweb for AI referral traffic and the prompts behind it. It also connects to the leading dedicated AI-mention platforms, from Profound and Evertune to Peec and Otterly, plus your GA4 and CRM.
Is this for SMBs or for enterprises?
Both. We model the same SCALE framework differently for each. A growing brand gets a productized, faster configuration priced to start and built to show movement in weeks. An enterprise gets custom prompt sets per market and language, deeper integrations, multi-brand share of voice, governance and a named team. Same goal, different configuration.
Does classic SEO still matter?
Yes. AEO and GEO build on the same authority, relevance and entity signals that good SEO produces, and organic pages are still a source the models read. We do not throw SEO away, we extend it toward the answer. If you want the broader search picture, see our SEO and GEO page.
How often does AI visibility need refreshing?
More often than a traditional SEO cadence. AI models lean toward pages that are recent and actively maintained, and visibility decays when content goes stale, faster in fast-moving categories like software, finance and news. So we treat AEO as a continuous system: monitor citations across engines, catch decay early with triggers, and refresh on a rolling cadence rather than once a year. Because a brand can be cited in one answer and absent from the next, we track across many runs, not a single check.
Where do the numbers on this page come from?
We would rather show our sources. These are 2026 industry benchmarks, not guarantees, and they move month to month. The share of Google searches that return an AI answer, around 47%, is reported by AI-search trackers. The finding that about 85% of AI brand mentions come from third-party pages comes from GEO research. The 94% of B2B buyers using LLMs to evaluate is from G2's 2026 buyer research. The roughly 4.4x higher conversion of AI-referred visitors is reported by Semrush. On freshness and decay, our approach draws on AirOps' 2026 AI Search Playbook and Kevin Indig's 2026 State of AI Search, and the finding that roughly half of Google searches now surface an AI summary, projected to keep rising toward 2028, comes from McKinsey. We deliberately cross-reference several providers rather than lean on any single study, and because AI answers are non-deterministic we track your own numbers directly.
Be the brand the AI names

Own the answer, not just the ranking.

Tell us your category and your competitors. We will show you where you stand in the models today, and how we get you named.

Start a conversation →