GEO Agency Selection CriteriaHow to choose a company that can prove its GEO work

The first point of misalignment in a GEO contract is usually the measurement question set. If you do not define the questions where the brand should appear, the agency and the client may judge the same result by different standards months later. This is the usual cause when an agency reports more exposure but the client sees no practical change.

Before a contract, we document the questions to measure, the services in scope, and the target outcome. Fixing the exact wording allows the baseline and follow-up measurement to use the same conditions. If a question must change, we record the date and reason so that the comparison remains clear.

Ask which questions will be measured during the consultation. An agency that can show the question set immediately will move differently after contract from one that plans to decide later. Our AI citation-rate measurement method explains how we group question types. Getting this list in the first meeting gives you a common basis for comparing agencies.

A proposal may mention audits, articles, structured data, external channels, and measurement, while the final contract includes only article delivery. Even when two documents use the same labels, what is included and what costs extra can differ. That gap often becomes visible two or three months later during billing.

We list website audits and changes, articles, structured data, external channels, and measurement separately. The contract also states the monthly volume, revision allowance, ownership of source URLs, and copyright. Work outside the agreed scope is separated and quoted independently.

Put the proposal and contract side by side and check whether the items match. A proposal that does not distinguish the public service scope from additional fees is more likely to create a scope dispute. If the documents differ, ask the agency to state which one governs. A different number of listed items is itself a signal to investigate.

GEO does not end with an article. The title, description, canonical, sitemap, internal links, and JSON-LD need to work together so an AI system can read the page and identify the brand behind it. If the contract does not name the implementation owner, the work can stall in the client's development queue.

We first check HTTP status and robots rules, then review canonical tags and initial HTML output. We also compare Article and Organization JSON-LD with the information visible on the page. Required changes are divided into work we can implement and work the client's development team must implement.

Confirm website access and the implementation owner before signing. A statement that structured data will be applied is not enough if no one is responsible for deployment. The 25-point AI search visibility website audit lists the checks. If implementation is shared, include the deployment schedule in the contract as well.

A single citation-rate number is difficult to compare across agencies. A response that only names the brand, one that cites an official URL, and one that recommends the brand are different outcomes. If you do not know what counted as one result, the figure has no clear meaning. Even the same total of 50 results leads to very different next actions when 45 are mentions versus 45 official-URL citations.

We record brand mentions, official-URL citations, and recommendation inclusion as separate outcomes. We retain the exact question, run time, model and search mode, full response, and source URLs. An average is used only as a supporting summary of those records, not as the first line of the report.

Request a report sample and check whether the classification rules are written down. If an agency will not provide a sample, its live reports may have the same limitation. First look for a one-page explanation of the rules. We publish our AI citation rate measurement criteria.

In medical, legal, and financial content, a phrase that guarantees an outcome or minimizes risk can create regulatory exposure. Producing more content can increase that risk. Because the advertiser is the publisher, the consequences may also return to the advertiser.

Before publication, we screen wording against the advertising and representation rules that apply to the industry. The contract identifies the reviewer, correction process, and conditions for re-review. Unreviewed drafts are excluded from publication, and revision history is retained for each article.

Before signing, ask who reviews regulated-industry copy and which standard they use. A promise to review without an owner or process leaves no evidence when a problem occurs. Our industry-specific GEO comparison explains the differences by sector. Also confirm whether the review result is documented for future handoff.

Some questions will remain unmentioned in the first measurement. If the contract does not state what happens next, the following month's report may stop at the same point. If ownership of articles, accounts, and measurement data is not agreed before the contract ends, the operating history can be lost.

We move unmentioned questions and weak sources into the next work queue, reinforce them, and remeasure under the same conditions. Platform-level questions, responses, and source records are retained and available to the client. ChatGPT, Gemini, Perplexity, and Claude are recorded separately.

Check the contract for the work triggered by an unmentioned question. If access to records and post-contract ownership are absent, you may not receive the data. Our platform-specific AI citation strategy explains the different platform conditions. State in advance which format will be used to transfer the data at the end of the engagement.