23SEOGEO · Weekly focus ·

How to evaluate an AI SEO agency: answers, changes, evidence

Evaluate an AI SEO agency using fixed prompts, original answers, citations, page changes and real referrals rather than screenshots or readiness scores.

the 23SEOGEO team · Updated

Concept illustration of proposal review, source folders and a checklist; not a client report
Concept illustration of proposal review, source folders and a checklist; not a client report

The short answer

Evaluate an AI SEO agency by asking for original answers and sources for one website and a fixed prompt set, then the exact page to change, implementation owner and review method. Assess mentions, citations, visits, enquiries and sales separately. Compare prices against deliverables, not one flattering screenshot. An internal team can own implementation where capacity exists; outsourcing should fill an explicit gap.

From question to reviewable evidence

Check claims

Choose one website and request reviewable original answers.

  • Fix buyer prompts and engines
  • Label date, web state and missing evidence

Delivery evidence

Original answers and citation URLs, not selected screenshots.

Open AI Citation Tracker
Full action and acceptance checklist
  1. Check claims

    Choose one website and request reviewable original answers. Fix buyer prompts and engines · Label date, web state and missing evidence

    Original answers and citation URLs, not selected screenshots.

    Open AI Citation Tracker
  2. Define delivery

    Map each recommendation to a real page and owner. Keep the existing URL and original copy · Use owned facts or verifiable sources

    Before/after versions, sources and owner.

    Organize owned facts and sources
  3. Review outcomes

    Separate results for the same site and window. Separate mentions, citations and visits · Review enquiries; confirm sales separately

    Raw records, visit window and actual publication date.

    Review AI traffic and conversions

Start with the problem, not the AI label

Write the buying brief as a specific problem: which customers ask which service questions, in which languages, which page needs work, and whether the business values enquiries or demo bookings. Ask the provider to separate observations, hypotheses and unread data. A visibility chart without fixed prompts, original answers and sample dates cannot be reviewed. Restricted reads are not zero exposure. Google AI features build on SEO foundations; an AI label does not demonstrate a special optimization technique.

Make the monthly report traceable

A reviewable monthly report carries the site, prompt, engine, web-search state, sample date, original answer and citation URLs. Page changes retain the existing URL, before/after copy, implementer and actual publication date. Only completed, non-simulated and verifiable web observations enter measured summaries. Plain model answers and simulations belong separately. English brand aliases may count as mentions, but not as linked citations. GAS explains readiness gaps rather than enquiries, sales or market share.

Compare scope, not an invented market average

Separate research, implementation, content, monitoring, subscriptions and reporting, and identify who owns accounts, raw data and editable files. A report-only engagement is different from implementation and maintenance. Setup and recurring monitoring are different expenses. The uploaded material supplies no original posts or contract evidence for its monetary anecdotes, so this page does not present them as real cases, industry prices or this platform’s offer. Use a current written quote and defined scope.

In-house SEO vs agency: decide by implementation capacity

Internal teams know products, customer questions and business facts, making them suited to owning source material, sales feedback and approvals. An agency can fill audit, editing or implementation gaps. Both should work against one target page and evidence list, without the supplier monopolizing account data. Define a one-page trial, retain the original, and review with comparable market, device and time windows after publication. D+14 and D+28 are suggested observation checkpoints, not promised results.

What evidence supports acceptance?

What evidence supports acceptance?
Provider materialWhat it showsWhat it cannot replace
Answer + date + citationsMentions and citations in a sampleLong-term trends, visits or sales
GAS diagnosticObservable readiness gapsMeasured citation rate
Before/after page versionsWhat actually changedProof that rankings rose because of it
Site referrals + business reviewVisits, enquiries and confirmed salesUnverified AI attribution

Related questions

  • How to evaluate an AI SEO agency?
  • In house SEO vs agency for B2B?
  • What should an AI search optimization quote include?

Common questions

Can an agency guarantee ChatGPT recommendations?

No. Prompts, engines, timing and retrieval conditions change. Assess implemented work and reviewable observations rather than a guaranteed recommendation.

Does a report alone mean optimization is complete?

It may complete a diagnostic deliverable. Implementation needs its own record and acceptance.

Is in-house always cheaper?

Not necessarily. Compare actual staff time, capabilities, tools and ongoing maintenance rather than invented costs.

Sources

Topics and tools