Self-serve resource

The Human
Algorithm Playbook.

60+ pages of what actually works in AI search. Entity authority, structured data, content architecture, discovery platforms, and a 90-day action plan. The framework before the investment.

£9.99
One-off download
Instant access
What is inside
01
The AI search landscapeHow discovery works in 2025 and why traditional SEO is no longer enough on its own
02
Entity authority buildingWhat entity-based search means and the practical steps to establish your brand as a recognised entity
03
Schema and structured dataThe types that matter for AI retrieval and how to implement them without a developer
04
Content architecture for AIHow to structure pages so AI assistants extract and cite your content correctly
05
90-day action planA prioritised sequence of actions you can hand to your team and start implementing this week
The framework first
Understand the full picture before committing to a larger investment. 60+ pages of practical, human-authored guidance on what actually moves the needle in AI search.
Full contents

Everything you need
to understand the shift.

Not a list of AI tools to try. Not a generic overview of what ChatGPT does. A practical framework for building genuine AI search visibility - based on what actually changes where brands appear in AI responses.

Written for marketing managers and heads of digital who want to understand the landscape, brief their teams, and make informed decisions about where to invest. Human-authored throughout.

Also included
Discovery platform guide (LinkedIn, YouTube, Reddit, directories)
llms.txt introduction and implementation guide
AI Overview eligibility checklist
Competitor analysis framework
Glossary of AI search terminology
01

Why AI search changes everything

The shift from ranking to retrieval - and what it means for how you think about your marketing

02

Entity authority: what it is and how to build it

Practical steps to make your brand a recognised entity that AI systems understand and trust

03

Schema that matters for AI retrieval

Which structured data types AI assistants actually use - and how to implement them without a developer for most of them

04

Content architecture for AI citation

How to structure and format pages so AI assistants extract and cite your content in their responses

05

Discovery platforms and off-site signals

LinkedIn, YouTube, Reddit, and the directories AI systems use to validate brand authority

06

Your 90-day action plan

A prioritised sequence of actions, broken into four-week phases, that you can hand to your team and start this week

60+
Pages of practical AI search guidance
6
Core modules covering the full landscape
90
Day action plan included
0
AI-generated content. Human-authored throughout.
Is this right for you?

Right for
this person.

The Playbook is designed for marketing professionals who want to understand the AI search landscape properly before deciding where to invest further. It is practical, not theoretical.

You want the full framework first

Before committing to a Snapshot, Sprint, or advisory, you want to understand the landscape properly so you can evaluate any recommendation on its merits.

You need to brief your leadership or team

A well-structured document that explains what AI search is, why it matters, and what to do about it - that you can share internally to get alignment.

You want to self-implement first

You have an in-house team with the capacity to act and you want a clear plan to hand them. The 90-day roadmap is built for this.

If you need more than the Playbook

For a personalised expert assessment of your specific situation, start with the free Visibility Snapshot instead.

For the complete signal stack built out in four weeks, the Foundation Sprint is the right next step after the Playbook.

For ongoing senior strategic oversight, the Monthly Advisory picks up where the Playbook leaves off.

Included in all advisory plans
Every monthly advisory tier includes the Playbook as part of the package. If you are considering advisory, it comes with the territory.
Get the Playbook
£9.99
One-off download. Instant access. Human-authored throughout.

Included free in all monthly advisory plans. If you are considering advisory, you do not need to buy it separately.

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Frequently Asked Questions

Common questions about AI search, AEO, and how Sticky Frog helps B2B businesses get cited by AI engines.

What is AEO (Answer Engine Optimisation)?

AEO stands for Answer Engine Optimisation. It is the practice of structuring your website content, entity data, and online presence so that AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite your business in their generated answers. Unlike traditional SEO, which targets click-through traffic, AEO targets citation: being the source an AI engine recommends when someone asks a relevant question.

Why does AI search visibility matter for B2B businesses?

B2B buyers increasingly use AI tools like ChatGPT and Perplexity to generate vendor shortlists before making contact. If your business is not cited by these AI engines, you are invisible to these buyers at the most critical point in their decision-making process. AI shortlisting makes AI search visibility a strategic priority for any B2B business.

What is the difference between SEO, AEO, and GEO?

SEO focuses on ranking in traditional Google search results. AEO (Answer Engine Optimisation) focuses on being cited in AI-generated answers on ChatGPT and Perplexity. GEO (Generative Engine Optimisation) focuses on appearing in outputs of generative AI tools. Sticky Frog specialises in AEO for B2B businesses and professional services.

What is an llms.txt file and does my website need one?

An llms.txt file is a plain-text file at the root of your domain that tells AI language model crawlers what content to index, trust, and cite. It is the AI equivalent of robots.txt. Most business websites do not yet have one, making it a meaningful competitive advantage in AI search visibility.

How long does it take to see results from AEO?

AI search visibility improvements can begin within 4 to 8 weeks for technical fixes like schema markup and llms.txt. Content-driven citation builds over 3 to 6 months. The AI Visibility Accelerator is a minimum 6-month engagement delivering results across ChatGPT, Perplexity, Google AI Overviews, YouTube, and Reddit.