What Generative Engine Optimisation Services Should Include

Generative engine optimisation services should improve the evidence that search and AI products can retrieve about your business—and the pages people reach when they act on it.

That is the real scope. Not AI-themed blog posts. Not a dashboard full of prompts. Not schema presented as magic.

A proper engagement connects technical access, official business facts, useful search assets, independent corroboration, measurement and conversion. If the provider cannot show how those pieces form one operating loop, you are buying disconnected deliverables.

The direct answer

A complete GEO service should include eight modules:

1. baseline and prompt/source-set research;
2. technical access and indexability;
3. official facts and entity consistency;
4. owned-page and content improvements;
5. external corroboration planning and execution;
6. AI-search and search measurement;
7. conversion and commercial attribution;
8. governance, claims and change control.

Not every business needs equal work in all eight. Every proposal should still state what is included, excluded, dependent on your team and impossible to guarantee.

Demand a baseline before tactics

The first deliverable is not a content calendar. It is a defensible view of the current market.

The provider should define:

• commercially important prompt and query families;
• the market, language and audience being tested;
• which prompts trigger live retrieval and which do not;
• which sources recur across the observed answers;
• whether your brand is fetched, mentioned, cited or linked;
• whether the facts are accurate;
• which owned and third-party pages influence the answer;
• which observations are repeatable versus unstable;
• which conventional search queries and pages own the same demand.

The output should be a prompt-and-source matrix, not one screenshot of a favourable result.

Any provider collapsing those states into one “AI visibility” score is hiding important differences.

Module 1: prompt and source-set research

The research should go beyond “track these 100 prompts”.

For each priority decision, map:

• the main question and likely follow-up questions;
• location, budget, use case, industry and other selection constraints;
• search results and AI answer formats;
• recurring owned, editorial, directory, review, forum, video and official sources;
• where your business is absent, misclassified or inaccurately described;
• which source class can realistically be influenced;
• the page, proof or corroboration required.

The result is a bounded opportunity queue. It should tell you which interventions are worth making and which prompts are too unstable, irrelevant or authority-heavy to pursue now.

Module 2: technical access and indexability

Your official pages need to be accessible before they can contribute useful evidence.

The service should review:

• robots and crawler access;
• indexability and snippet eligibility;
• status codes, redirects and canonical URLs;
• server-rendered content;
• JavaScript rendering risk;
• internal links and orphan pages;
• duplicate and competing URLs;
• page experience on important templates;
• sitemaps and public manifests;
• accessibility and agent interaction where relevant.

Google’s generative AI search guidance says its existing SEO foundations still apply: pages must be indexed and eligible for a snippet, crawlable content matters, and no special GEO schema is required.

OpenAI’s publisher FAQ says sites should not block OAI-SearchBot if they want content eligible for summaries and snippets in ChatGPT search. Crawler access is eligibility, not a promise of inclusion.

Module 3: official facts and entity consistency

Your site is the official-facts layer.

It should state, in crawlable HTML:

• business and trading names;
• what you sell;
• who each service or product is for;
• locations and serviceability;
• prices or pricing posture where approved;
• credentials and people;
• policies and limitations;
• proof you are authorised to publish;
• how to enquire, buy or book.

The provider should reconcile those facts across the homepage, service pages, about pages, people pages, contact details, case studies, profiles and structured data.

This is not mystical “entity optimisation”. It is removing contradictions and making the official version explicit.

Module 4: owned-page and content improvement

The engagement should decide whether each priority need belongs to:

• a homepage;
• service or category page;
• product page;
• location page;
• comparison;
• guide;
• tool or calculator;
• methodology or research page;
• case study;
• policy, FAQ or help page.

Then improve or build the right asset.

The work may include:

• clearer titles, headings and opening answers;
• non-commodity first-hand or original information;
• tables, criteria, calculations or decision tools;
• verified examples and limitations;
• stronger internal links;
• accurate metadata and eligible structured data;
• images and video where they materially improve the answer;
• a commercial next step that matches the intent.

Google explicitly warns against rewriting solely for AI, forcing every query variation into a separate page and overfocusing on structured data. The standard is useful, original content for the person visiting—not machine-facing sludge.

Module 5: external corroboration

Your own site can publish official facts. It cannot independently prove that you are the best, most trusted or most recommended option.

Corroboration may involve:

• genuine reviews;
• relevant directories and profiles;
• partner and association pages;
• editorial coverage;
• expert contributions;
• podcasts and video;
• cited original research;
• community discussion where participation is appropriate;
• unlinked-mention correction;
• public case-study evidence with permission.

The proposal should name the source classes that matter for the selected market. It should not prescribe Reddit, PR or directories by default.

It must also separate agency work from access it does not control. A provider can build a research asset and outreach plan. It cannot guarantee publication, a positive review, a citation or recommendation.

Module 6: measurement that survives scrutiny

A credible reporting model combines:

• conventional search impressions, clicks, queries and landing pages;
• indexation and crawling state;
• prompt tests with the exact system, date, market and method;
• fetched, mentioned, cited and linked evidence separately;
• ChatGPT and other identifiable referral visits;
• accuracy and misclassification issues;
• enquiries, purchases, bookings or qualified pipeline;
• changes shipped and their evidence dates.

OpenAI says ChatGPT search referral URLs include utm_source=chatgpt.com, which makes some visits observable in analytics. It does not make unclicked answer exposure fully measurable.

Google now provides a generative AI performance report in Search Console for its own generative search features. The provider should use first-party data where available and state where the platform does not expose a reliable metric.

Module 7: conversion and commercial attribution

Visibility without a useful destination is wasted.

The service should inspect:

• whether the cited or ranking page matches the question;
• whether the offer is clear;
• whether proof appears before the claim becomes difficult to believe;
• whether the action fits the visitor’s stage;
• whether forms, calls, booking or checkout work;
• whether AI-search referrals are captured without breaking attribution;
• whether lead quality and revenue can be connected to the page.

A GEO engagement should never become an excuse to optimise low-value mentions while the commercial pages remain weak.

Module 8: governance and claims

AI-search work touches fast-changing platform behaviour and tempting claims. Governance is not optional.

Require:

• a source and retrieval date for changeable platform claims;
• approval boundaries for public facts and case studies;
• an explicit register of prohibited or unsupported claims;
• disclosure of paid placements or relationships;
• no fake reviews or manufactured community activity;
• change logs and before/after evidence;
• retesting after material changes;
• a correction path for inaccurate AI outputs;
• clear ownership across your team, provider, PR, legal and development.

The ACCC says businesses should use current information, be specific, disclose limitations and be ready to prove claims. Its false or misleading claims guidance also warns that comparisons can mislead when they are inaccurate or unfair.

What should appear in the statement of work

Do not accept “GEO optimisation” as a line item. Make the provider define the work.

Red flags

Walk away or tighten the scope when a provider:

• guarantees AI recommendations or citations;
• sells prompt tracking as the entire service;
• promises a special schema that makes Google AI rank the site;
• treats every mention as a citation;
• recommends mass articles before inspecting technical and commercial pages;
• prescribes fake, paid or undisclosed community activity;
• cannot distinguish owned facts from independent corroboration;
• reports outputs without showing dates, systems, prompts or sources;
• avoids implementation ownership;
• cannot connect the work to a real buying action.

FAQ

Is GEO different from SEO?

The market uses GEO to describe optimisation for generative search and assistant experiences. Google treats optimisation for its generative search features as SEO and says its existing ranking and quality systems remain foundational. The useful distinction is operational: test more source surfaces and measurement states without abandoning SEO fundamentals.

Does GEO require special schema?

No. Google says there is no special schema required for its generative AI search features. Use supported structured data accurately for its ordinary search purposes.

Should a GEO service include content?

Usually, but only after the provider has assigned the need to the right page type. Improving official service, product, location and proof pages may matter more than adding articles.

Should it include Reddit and community work?

Only when those source classes genuinely influence the market and participation can be useful, transparent and compliant. Community posting is not a mandatory GEO deliverable.

Can a provider guarantee an AI citation?

No. It can improve access, evidence, clarity and corroboration, then test the result. Platform outputs and third-party publication remain outside its control.

What is the most important GEO metric?

There is no single metric. Track the chain from accessible source, to observed retrieval or visibility, to visit, to qualified commercial action. Keep each state separate.

Buy the operating loop, not the label

We will show you which questions matter, which sources shape the answer and what must change on your site and around it. Then we will prove what shipped and retest the result.

See Searchmaxxed's AI search optimisation service or show us the market.

Primary sources

• Optimizing for generative AI features on Google Search — Google Search Central.
• Google Search Essentials — Google Search Central.
• Publishers and developers FAQ — OpenAI.
• False or misleading claims — Australian Competition and Consumer Commission.