How to get your agency recommended by ChatGPT
Learn how to get your agency recommended by ChatGPT with clear services, niche and location, documented case studies, independent mentions and repeat checks.
How can an agency improve its chances of a ChatGPT recommendation?
State your services, niche and real locations clearly, publish documented client outcomes, and keep independent profiles consistent with your site. Make the relevant pages accessible to search, then repeat buyer questions and inspect the evidence; no page change guarantees a ChatGPT recommendation.
To get your agency considered for ChatGPT recommendations, clearly state your services, niche and real locations, publish documented client outcomes, and maintain consistent facts in independent profiles. Make those pages accessible to search and test buyer questions repeatedly; no agency can guarantee a recommendation.
Updated October.
Does your opening statement identify the service and buyer?
An agency homepage should explain what work you do, who hires you and where you operate. “We create exceptional experiences” leaves all three unanswered. A buyer asking for a specialist agency needs enough detail to decide whether your team belongs in the shortlist.
A fictional example is “We provide technical website migrations for regional manufacturers, with a team based in Surabaya.” Use that level of specificity only when it is true. Distinguish the office location from the markets you serve remotely, and explain any language or delivery constraints.
Read the statement against your real inquiries. If your strongest work is implementation but the page describes only strategy, correct that mismatch. Clear positioning helps a person assess fit; it is not a published formula for influencing a model.
Does each service have a page that answers buying questions?
Give each distinct service a useful page explaining its scope, deliverables, process and exclusions. A buyer should know what the engagement produces and what information your team needs to begin. Link related case studies and explain how that work relates to the service.
For a website migration service, relevant questions might include who maps redirects, who handles content approval, and what happens after launch. State the actual division of responsibilities. Do not turn a vague promise of support into a claim that every possible task is included.
Avoid a separate page for every city-service combination when the underlying offer is identical. One complete service page with honest coverage details is easier to maintain than many thin variants. Add location pages when there is real local information to explain, such as an office, delivery team or distinct service availability.
Do case studies contain outcomes you can document?
A useful case study names the problem, work performed, measurement period and observed outcome. Name the client only with permission. Where a client cannot be identified publicly, explain that limitation rather than implying the example is independently verifiable.
Use a named outcome such as “completed the catalog migration” or “reduced form abandonment,” with supporting records for any measurement. Specify the metric definition and baseline when reporting a change. Do not imply that all business improvement came from agency work if campaigns or product changes occurred at the same time.
Include what was outside scope and what remains uncertain. A screenshot without a date or metric definition is weak evidence. Link a public deliverable when possible, and keep the internal approval or measurement record so the claim can be checked later.
Which third-party mentions can corroborate your work?
Relevant directories, genuine client reviews, award listings and press coverage can help buyers check your own description. Start with profiles that already exist. Look for an old agency name, an obsolete location or a service category that no longer reflects your work.
An award claim should link to the organizer's published result and identify the category. A review should reflect a real engagement under the destination's rules. Paid placement should be described accurately rather than presented as an independent editorial endorsement.
Prioritize accuracy over volume. There is no published number of directory entries or reviews that guarantees ChatGPT will recommend an agency. Creating repetitive profiles with unsupported claims adds maintenance work without establishing that the agency fits a buyer's question.
Are the same facts consistent across profiles?
Compare the website, directory listings, review profiles and any public business records you cite. Check the trading name, domain, service categories, address, contact details and market coverage. Save the exact conflicting statement and its URL before requesting a correction.
Resolve the authoritative fact internally first. If you moved an office, update the location page and then the external profiles. If you stopped offering a service, explain current availability where buyers would otherwise encounter an old claim. Do not quietly convert an old case study into evidence of a service you no longer provide.
Consistency makes facts easier to check. It does not mean every profile should contain identical promotional copy. Adapt each description to its audience while preserving the same underlying facts and limitations.
Can ChatGPT search access the relevant pages?
Open service pages and case studies while signed out. Check the readable body, redirects, canonical URL and accidental noindex directives. Inspect access controls if a crawler receives a challenge or denied response even though your browser can open the page.
Per OpenAI's crawler documentation, OAI-SearchBot serves search discovery, separately from training collection. Review its robots.txt rules and HTTP access. The ChatGPT citation checklist explains these checks in more detail.
Keep client portals and confidential project records private. Public evidence can describe an approved outcome without exposing internal files. Accessibility work should make intended public information readable, not remove appropriate protection from customer material.
Which buyer questions should you repeat?
Start with “best [service] agency for [niche]” and add the location, language or delivery requirement buyers actually mention. Also ask narrower questions about project fit and required expertise. Keep branded questions separate from discovery questions that do not name your agency.
Save the wording, market, language, search setting, date, answer and returned links. Repeat in fresh conversations because the same question can produce different shortlists. Include answers that omit the agency, and distinguish a completed omission from a collection failure.
After an edit, repeat the same sample and inspect whether the cited evidence supports the recommendation. SearchSeal saves tracked answers, brand mentions and returned source URLs, ranks page fixes and compares before/after observations. Use the AI visibility audit to organize that review, and use analytics or your CRM to measure inquiries and sales. A changed answer alone does not prove your edit caused it.
Frequently asked questions
Can an agency guarantee that ChatGPT will recommend it?
No. Clear public evidence and accessible pages help establish fit, but ChatGPT selects its own answers. Repeated samples are observations, not a guarantee of future recommendations.
Should an agency create a page for every city?
Create a location page when it contains real local facts, such as an office or distinct availability. Avoid duplicate pages that only swap the city name while describing the same service.
What should an agency case study show?
Describe the client problem, agreed work, observation period and documented outcome. Get permission before naming the client, and explain measurement limits or other changes that could affect results.
Why does the recommended agency list change?
Question wording, market, search context and answer variation can change the shortlist. Save repeated answers under recorded conditions before treating an omission as a persistent problem.