Build a repeatable set of customer questions and document visible mentions, citations and source patterns.
AI SEARCH + GEO
Be understood beyond the search box.
Make your expertise easier to discover in AI-generated answers as well as conventional search. GEO is a core BackTeams discipline, built on clear source material, accessible pages and corroborating authority.
CHECK YOUR AI SEARCH PRESENCEGet the important question clear.
An AI answer may cite a source, mention a brand or omit both. Those behaviours are different from ranking a page. We establish what you can observe reliably before deciding which content, entity and technical changes deserve investment.
FIELD NOTE 02 / AI Search + GEOAn AI answer may cite a source, mention a brand or omit both.
02 / WHAT CAN BELONG IN THE SCOPESpecialist depth.
Specialist depth.
Connected delivery.
These capabilities sit within AI Search + GEO. We choose the combination that addresses your brief; the engagement is not a requirement to buy every item.
- AI SEO
- AI Search Optimisation
- Generative Engine Optimisation / GEO
- LLM Visibility
- Answer Engine Optimisation
- Entity Optimisation
- AI Crawler Accessibility
03 / THE WORK, IN PRACTICEFrom a clear brief
From a clear brief
to useful delivery.
Clarify entities, author expertise and evidence.
Repeat observations consistently and compare them with referral, enquiry and brand-demand signals.
Establish the answer landscape
Build a repeatable set of customer questions and document visible mentions, citations and source patterns. Separate observed outputs from assumptions about how a model works.
Make expertise usable
Clarify entities, author expertise and evidence. Structure important answers so people and machines can find them, then check rendering and crawler access against your publishing policy.
Monitor across surfaces
Repeat observations consistently and compare them with referral, enquiry and brand-demand signals. Keep traditional search health in view rather than treating GEO as a separate shortcut.
Evidence for
the next decision.
Agree the baseline, definitions and review cadence before delivery. The right measures follow the business problem and the data available—not a standard dashboard.
- 01Observed citations and brand mentions
- 02Answer-topic coverage
- 03Qualified referral activity
We cannot guarantee rankings, citations, inclusion or how an AI system will describe a brand. Observations are sampled and outputs can vary.
Bring the context.
We’ll help shape the brief.
Who it is for
Marketing leaders, SEO teams and ecommerce directors who need a focused AI Search + GEO programme and a clear connection to the wider business.
What helps us begin
Priority markets and topics, approved evidence, analytics, crawl access and a baseline of your current search performance.
What we agree together
Deliverables, responsibilities, access, approvals, costs and a realistic review rhythm. We identify dependencies before committing to implementation.
06 / GOOD QUESTIONSBefore
Before
the next step.
How do you measure visibility in AI answers?
We agree a repeatable question set, environments and observation method, then record citations, brand mentions, source patterns and referral evidence separately. A sampled answer is an observation, not a permanent ranking.
Can you guarantee our brand will be cited?
No. Answer systems change and no agency controls inclusion. We can improve source clarity, entity signals, technical access and corroborating authority, then monitor what is observable.
Does llms.txt improve AI visibility?
It is an experimental helper file, not a visibility guarantee or substitute for crawlable source content. We treat it as optional documentation while prioritising accessible pages, clear entities and evidence.
Is GEO separate from SEO and digital PR?
It has distinct observations, but the delivery is connected. Technical accessibility, useful source content, entity clarity and relevant external references support both search and answer environments.
What do you need to establish a baseline?
Priority markets, customer questions, approved claims, analytics, existing expert content and agreement on which answer environments can be sampled consistently.
Be part of the answer.
One specialist team or several connected disciplines.
We’ll work out what belongs in the plan.