Buyer guide
How to choose an AEO agency for a US SaaS or AI company
By Brandilite
Choose an AEO agency by the work it can verify and implement: a reproducible visibility baseline, clear technical findings, useful buyer content, credible evidence and measurement connected to qualified demand. Compare the people, scope and approval process behind the proposal. A promise of guaranteed AI recommendations is not a substitute for any of these.
This guide is for US SaaS and AI teams comparing answer-engine optimization (AEO), generative engine optimization (GEO) and AI visibility services. Brandilite provides these services, so this is a provider's buying framework, not an independent agency ranking.
Start with the commercial question
Write down whose shortlist you want to enter. “Improve AI visibility” is too broad for a useful brief. “Help US security leaders evaluate our enterprise password manager” gives an agency a buyer, market and decision to investigate.
Bring five real questions from sales calls, support conversations or win/loss notes. Include a category question, a use-case question, a comparison and a constraint such as integrations, deployment or budget. Separate questions that name your company from questions that do not. Success on your own brand name does not establish discovery by new buyers.
Ask each agency to explain which questions it would prioritize, which pages should answer them and what evidence is currently missing. This exposes its judgment before you commit to a long content calendar.
What should an AEO agency actually do?
A useful scope connects technical search access, accurate company and product facts, buyer-focused content, independent corroboration and measurement. Each recommendation should have a URL or evidence source, an owner and an acceptance check.
For Google's AI Overviews and AI Mode, Google says established SEO practices remain applicable. Supporting pages must be indexed and eligible to show a snippet; there is no special AI schema or mandatory AI text file. Eligibility does not guarantee inclusion. Use Google's guidance for AI features to challenge proposals built around a supposedly required shortcut.
Ask how the agency handles other systems separately. OpenAI documents OAI-SearchBot for search and GPTBot for training, with independent controls. A recommendation to change crawler access should identify the specific agent, purpose and affected pages. See OpenAI's crawler documentation.
Agency, monitoring tool or in-house team?
Choose based on the capability you are missing. These options can complement each other, but they do not automatically include the same work.
| Option | Useful when | Confirm before buying |
|---|---|---|
| Managed agency | You need diagnosis, editorial judgment and delivery capacity | Who changes the website, what is included, and how approvals work |
| Monitoring tool | Your team can interpret observations and implement changes | Which engines, locations, prompts, exports and sampling limits the subscription covers |
| In-house team | Product knowledge and continuous coordination are central | Named time for research, engineering, editing, measurement and maintenance |
| Hybrid | Your team owns strategy but needs specialist help | One accountable owner and a shared backlog, with no duplicated reporting |
A tool demonstration can show observation and reporting capabilities. Ask for separate evidence that implementation is included. Conversely, an agency can use third-party tools effectively while still being accountable for decisions, changes and transparent reporting.
Seven questions to ask shortlisted agencies
1. How will you establish the baseline?
Request a sample containing exact prompts, engine or product, date, market settings, captured answers and cited URLs. Ask whether runs use a consumer interface or API, how repeats are handled and how failed observations are recorded. A visibility percentage needs a numerator, denominator and stated sample.
2. What will you deliver in the first month?
Look for a prioritized backlog and a small number of reviewable outputs. Examples include repairing a canonical conflict, improving a service page or publishing an evidence-backed comparison. Require a distinction between recommendations supplied and changes implemented. Name the person who can approve and ship each change.
3. How will you understand our product?
For SaaS, ask how the team verifies integrations, limitations, customer segments and current pricing. For AI products, add model dependencies, data handling, deployment options and evaluation boundaries. An editor should consult your product owner before turning an ambiguous feature into a definitive claim.
4. What evidence supports your case studies?
Request the baseline and follow-up dates, metric definitions, data source, work performed and important concurrent changes. A screenshot is useful when its scope is clear. Check whether results describe traditional organic search, sampled AI citations, referral visits or actual leads; none is interchangeable with another.
5. How do you earn third-party credibility?
Ask for target-selection criteria, sample pitches, relevance checks and a record of published coverage. Keep researched opportunities, submitted profiles and live placements separate. Google's spam policies identify links created primarily to manipulate rankings as link spam. Assess proposed tactics against the official link-spam policy.
6. Who owns the work and accounts?
Confirm ownership of drafts, published content, reports and exports. Start an audit with appropriate read access; agree later implementation permissions separately. Record which changes need approval and what is handed over if the engagement ends. Google's advice on hiring an SEO supports checking references, methods, reporting and access requirements.
7. What would make you recommend stopping?
A useful answer names constraints: insufficient product evidence, no publishing capacity, an unclear buyer or a technical dependency outside scope. Agree what would trigger a change of plan. This is more informative than a fixed promise that every business will improve within the same number of weeks.
Compare pricing by scope and total effort
Request proposals against the same brief. Include agency fees, software subscriptions, internal review time, development work and any separate research or outreach costs. Then compare what will be accepted as complete.
| Pricing model | What to pin down | Main tradeoff |
|---|---|---|
| Fixed diagnostic | Pages and questions reviewed, evidence pack, recommendations and follow-up | Clear investigation scope; implementation may be separate |
| Fixed project or sprint | Named outputs, revision rounds, access dependencies and handover | Defined deliverables; later changes need new scope |
| Monthly retainer | Available capacity, queue rules, reporting and cancellation terms | Continuity; priority and throughput need active management |
| Hourly consulting | Rate, estimate, time reporting and approval ceiling | Flexible access; total cost depends on work required |
| Outcome-linked fee | Precise outcome, attribution, baseline, exclusions and verification | Incentives depend heavily on whether the outcome is measurable and controllable |
Avoid comparing an audit price with a monthly implementation plan as if they purchase the same service. Ask what happens when access arrives late, a product claim cannot be verified or your team delays approval. Put the answer in the scope before work starts.
Decide what evidence will count as progress
Use three separate layers: shipped work, observed visibility and business outcomes. A published page is a delivery result. A citation is an observed answer result. A qualified demo request is a commercial result. Report all three without treating one as proof of the next.
Agree a fixed initial prompt set with documented US context, repeat conditions and update rules. Preserve evidence of negative results as well as improvements. Changing the questions or denominator can invalidate a before-and-after comparison.
Google includes traffic from its AI search features in Search Console's Web performance reporting. An ordinary GSC click change therefore does not isolate AI citations. Combine search and analytics evidence with clearly labeled answer observations. Our AI citation measurement guide explains how to keep these measures separate.
A procurement brief you can reuse
Send every shortlisted agency the same short brief:
- Business: product, target US buyer, buying cycle and priority offer.
- Decision questions: five buyer prompts, named competitors and key constraints.
- Evidence: current product documentation, approved claims and usable case studies.
- Baseline: available search and analytics data, previous work and known measurement gaps.
- Delivery: CMS, technical owner, reviewer, approval time and implementation capacity.
- Scope: initial period, budget range, required outputs and excluded work.
- Success: accepted deliverables, observation method and qualified-lead definition.
- Handover: account ownership, export format, documentation and cancellation process.
Score proposals on evidence quality, relevance to your buyers, implementation ownership, measurement transparency and total effort. Write down why each score was awarded. Do not let an attractive dashboard compensate for unanswered questions about the work.
When Brandilite may fit
Brandilite may fit a SaaS or AI team that wants managed AI visibility and SEO/AEO work delivered asynchronously, can provide accurate product information and can approve changes. Review our service scope, current pricing and plan boundaries, and case studies with their stated evidence.
A team seeking only monitoring software may prefer a tool subscription. A team requiring constant embedded collaboration should explicitly confirm that an asynchronous service meets its needs. Guaranteed rankings or recommendations are not an appropriate basis for choosing Brandilite or any other provider.
Use the same evidence checks on our proposal. The right next step is a reviewable scope that matches your buyers, your website and the work your team can actually ship.