GEO agencies in 2026, compared on what a buyer can verify
By the Broadcastwell teamPublished 15 September 2026Fact dates appear with each recordSelected claims rechecked 29 September 202614 minute read
Broadcastwell publishes this page and is not on the list: the companies below are listed alphabetically and none of them is ranked. This page compares generative engine optimization agencies on a published method, open data with a DOI, engine coverage stated by name, an entry price published and payable without a call, published refund terms, named B2B software case studies, third party reviews, and whether the buyer's own AI can read the results. Every cell was read on each company's own site on 15 September 2026.
All 9 at a glance
Eight criteria a buyer can verify. Full detail in each entry below. Every price carries the date it was checked.
The 9 companies on this page, with best fit, published entry price and score out of eight
YesPartialNoOne segment for each of the eight criteria, in the order of the scorecard.
Key takeaways
What does a GEO agency actually do?
It works to get a company named and cited inside the answers AI engines produce for buyer questions, rather than ranked in a list of links. In practice that means measuring which vendors the engines name today, fixing what the engines can read about the company, and getting in front of the third party sources those answers cite.
How was this list scored?
On eight criteria that can be checked on each company's own website in an afternoon: whether the method is published with at least one complete question set public, whether the data is open with a DOI, whether the engines are named, whether an entry price is published and payable without a call, whether refund terms are published, whether named B2B software case studies exist, whether third party reviews exist with a count, and whether the results reach the buyer's own systems.
What does it cost?
Published entry prices on this page run from $3,000 a month to $10,000 a month (checked 15 Sep 2026). Five of the nine agencies here publish no price at all. Where a company publishes nothing, this page says not published rather than estimating.
Who should hire one?
A company whose buyers now ask an AI engine for a shortlist before they ever visit a website, and who does not know whether they are on that shortlist. If you do not yet know where you stand, the cheapest useful first step is a measurement, not a retainer.
Is Broadcastwell on this list?
No. Broadcastwell publishes this page and sells a $490 Category Audit, so it does not score itself. It is in no table on this page; a short note about the publisher sits after the list.
Why every list of GEO agencies is written by a GEO agency
Ask Google for the best GEO agencies and the answer is assembled from lists that agencies wrote about themselves. Ten of the eleven publishers in this category rank their own agency first. This page used to do the same thing. Until 21 September 2026 it ranked Broadcastwell first. The ranking was removed on that date: the companies are now listed alphabetically, nobody is ranked, and since 25 September 2026 Broadcastwell is in no table on this page and does not score itself.
What is left is not a ranking at all. This page is not a measurement of which agency is best at the work, and it does not order anyone. It is a count of what each agency lets a buyer check before spending anything: a published method, open data, named engines, a published price, published refund terms, named case studies, third party reviews, and results a buyer's own systems can read. Those eight things are either on a company's website or they are not.
Earlier July 2026 agency mention counts have been withdrawn because the underlying answer records could not be reverified. This page makes no claim about how often an AI engine names an agency.
Twelve companies were read for this page, Broadcastwell included, and nine are listed below, alphabetically. Broadcastwell is not scored because it publishes the page. Siege Media and iPullRank were read to the same standard and are not among the nine. Siege Media publishes a minimum of $8,000 per month and a 12 month contract with a 30 day out clause, and names no AI engine on its generative engine optimization page (read 15 Sep 2026). iPullRank publishes investment bands from $30,000 on its AI search page (checked 25 Sep 2026) and names no client in any case study.
How we scored
Every cell below was read on each company's own site on 15 September 2026. Reviews were read on Clutch for every company, and on G2 where G2 allowed the read, on 16 September 2026. Facts rechecked on 25 September 2026 say so where they appear. Where a company does not publish something, the cell says No rather than guessing. The companies are listed alphabetically. Nobody on this page is ranked, and the publisher is not scored.
Method
Method published, and at least one complete question set public: a study dataset, an index, a public sample or a named case.
Open data
Open data published with a DOI.
Engines
Engine coverage stated by name.
Price
Entry price published and buyable without a call.
Refund
Refund or guarantee terms published.
B2B cases
Named B2B software case studies on the site.
Reviews
Third party reviews, with the count.
Machine readable
The buyer's own AI can read the results, through an account, an export or a connector.
Yes means a reader can verify it on the company's own site. Partial means part of it is published, for example a price that is published but sold only through a call. No means the company's own site does not publish it. For the method criterion, Yes means the method is published and at least one complete question set is public, in a study dataset, an index, a public sample or a named case; Partial means a method is described but no question set is public; No means neither.
Twelve agencies were read on 15 September 2026 and the nine listed here are shown alphabetically, not in any order of merit. Reviews were read on 16 September 2026, on Clutch for every company and on G2 where G2 allowed the read, and each cell names the platform behind its count.
The list
First Page Sage: best for off site levers, lists, databases and reviews
2 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PriceNo
RefundNo
B2B casesYes
ReviewsNo
Machine readableNo
What they do well
It names four target engines and publishes a six element GEO method that includes off site levers such as list creation, database inclusion and review management.
It states on the GEO page the date the service launched, which is a dated claim rather than a general assertion.
Its anonymized GEO case study publishes a tracked prompt count of 620 and a citation share movement from 23 percent to 77 percent.
Limitations
Publishes no pricing on its own site, while publishing many articles about other agencies' pricing.
Seven of its eight case studies name no client, and the one named study is classic SEO rather than AI search.
Go Fish Digital: best for large brands buying GEO alongside digital public relations
3 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PriceNo
RefundNo
B2B casesYes
ReviewsYes
Machine readableNo
What they do well
Generative engine optimization is a named service line beside SEO, digital PR, paid media and creative, so one contract can cover several channels.
The service page names the surfaces it works on, including Google AI Overviews, Google AI Mode, ChatGPT and Bing Copilot.
It publishes a named AI readiness case study for MoneyGeek reporting a 74.8 percent increase in clicks and a 50.6 percent increase in impressions.
Limitations
Publishes no pricing and no engagement minimum.
Its Barracuda platform is described with no published client access, export or API.
Minuttia: best for a published AI search data study
3 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PricePartial
RefundNo
B2B casesYes
ReviewsYes
Machine readablePartial
What they do well
It publishes a full research methodology, including prompt counts by type, the five platforms sampled, an LLM judge against a fixed five way rubric, a limitations section and downloadable aggregate data.
Its llms.txt publishes its founding year, a named reporting stack and a typical minimum engagement, which makes the commercial shape checkable.
The Meilisearch case study names the client and states the size of the 259 query set behind the work, alongside its LLM traffic and conversion figures; the queries themselves are not listed.
Limitations
The minimum engagement figure appears only in llms.txt, not on a customer facing pricing page.
The published study carries no DOI and no citation guidance.
Omniscient Digital: best for B2B software with pipeline reporting
3 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PricePartial
RefundNo
B2B casesYes
ReviewsYes
Machine readablePartial
What they do well
It publishes both a retainer floor and a package price on its services page, so the starting cost is checkable before a call.
Almost every case study is a named B2B software client, including Jasper, Smartling, SpotDraft and Lokalise, with several reporting pipeline figures rather than traffic alone.
Its homepage reports an 81 percent increase in LLM visibility and a 140 percent increase in AI citations for Convert over 60 days. These are the agency's own case-study claims (as of 29 Sep 2026).
Limitations
Publishes no guarantee, refund or contract term.
Its own AI information page carries no pricing, no engagement minimum and no client list, so it does not match the pricing published on the services page.
Optimist: best for a published price ladder for B2B SaaS
2 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PricePartial
RefundNo
B2B casesYes
ReviewsNot verified
Machine readablePartial
What they do well
It publishes three priced tiers on the homepage, including a $7,500 one time Roadmap, which makes the cost of starting checkable before any call.
The AEO page names seven surfaces, including ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google and Bing.
It publishes three AEO case studies with LLM revenue and LLM referral figures, and names B2B software clients including Stampli, Contentstack and HelloSign elsewhere on the site.
Limitations
The three AEO case studies name no client, describing them as a large B2B tech client, a retail client and a fintech client.
The CORE Framework page describes stages and phases but publishes no scoring rubric, prompt set or classification rules.
Relevance: best for public relations led AI visibility
2 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PriceNo
RefundNo
B2B casesYes
ReviewsNot verified
Machine readablePartial
What they do well
Its technology page names three proprietary tools and describes a free readiness checker that scores crawler access for named AI crawlers, structured data and answer readiness.
The case study index labels individual cases by discipline, including two tagged AI visibility.
Its GEO explainer carries a published date and an updated date on the page itself.
Limitations
Its GEO explainer reports outcome figures against unnamed categories rather than named clients.
Its about page displays a revenue figure that reads as an unfilled placeholder.
Single Grain: best for paid and organic AI search in one contract
3 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PriceNo
RefundNo
B2B casesYes
ReviewsYes
Machine readablePartial
What they do well
The AEO page sets out a named five stage process and lists eight answer surfaces it optimizes for, including Alexa and Siri alongside ChatGPT and AI Overviews.
The case study index carries three AI search results with client names attached, including SmartRent and LS Building Products.
It publishes a large public AEO and GEO article library rather than a single service page.
Limitations
No pricing is published on the homepage, the SEO page or the AEO page.
Reporting is described as custom dashboards with no named platform, export format or API.
Skale: best for prompt set and citation source work for SaaS
2 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PriceNo
RefundNo
B2B casesYes
ReviewsNot verified
Machine readablePartial
What they do well
The AI brand mentions page publishes a specific method, including building curated prompt sets and reverse engineering which domains AI systems cite for those prompts.
It names seven AI surfaces, including Claude and Google AI Mode.
Its case study index attaches client names to AI search results rather than reporting them by category alone.
Limitations
No pricing, minimum retainer or contract length is published anywhere on the site.
Two of its three AI visibility case studies are anonymized by category rather than named.
WebFX: best for a published rate card and a named tracking platform
3 of 8verifiable yeses
MethodPartial
Open dataNo
EnginesYes
PricePartial
RefundNo
B2B casesYes
ReviewsNot verified
Machine readableYes
What they do well
It publishes a full eight tier GEO rate card with monthly figures, which no other agency in this set does.
The GEO page names ten specific AI surfaces, including Claude, Grok and Apple Intelligence.
Three case studies on the index are stated in AI sourced traffic or lead terms, with the client named.
Limitations
All GEO plans carry a stated six month commitment and no refund or performance guarantee is published.
Its case study index of more than 60 entries contains one B2B software example.
About the publisher
Broadcastwell publishes this list and sells a $490 Category Audit. We do not score ourselves here. Prices and terms. Our methodology. Three named client accounts. Broadcastwell's founder previously owned and sold Neurvalis AI Automation and Valren Atelier. No independent review score is claimed here.
How to choose
How to choose: criteria, what good looks like, and the red flag
Criterion
What good looks like
The red flag
Method
The method is on the site, versioned and dated, and at least one complete question set is public, so a second party could repeat the run.
A named framework with no question set, no sample size and no rule for what counts as a mention.
Data
The underlying research is published openly with a DOI and a stated limitations section.
A headline percentage with no dataset, no denominator and no link.
Engines
The engines are named, and the report separates them rather than folding them into one score.
The site says AI search, LLMs or answer engines and never names one.
Price
An entry price is printed on the site and can be paid without a call.
Custom quote only, or a price that is printed but still needs a sales call to act on.
Refund
Refund or guarantee terms are published, with the condition that would trigger them.
A money back guarantee with no timeframe, no condition and no eligibility rule.
Cases
Named clients in your own category, with the measurement described rather than only the outcome.
Results attributed to a B2B tech client or a fintech client with no name attached.
Reviews
A third party review profile with the count visible.
A rating quoted on the company's own site with no link to the profile behind it.
Machine readable
The observed answers, their engines, their dates and their sources land somewhere your own AI can read.
A monthly slide deck, and nothing your systems can query.
The eight criteria are not a ranking of quality. They are the eight things a buyer can check in an afternoon without talking to anyone, and they are the eight things that decide whether a claim can be argued with later. A firm that publishes its question set can be told it asked the wrong questions. A firm that publishes nothing can only be believed or not believed.
The single most useful question to ask any firm on this page is how the questions were written. AI answers to questions that already contain a company name will usually contain that name, so a mention count built on name seeded questions measures the prompt rather than the engine. Broadcastwell published that finding against its own category research, and it is the reason no question in a Category Audit names any brand.
The second most useful question is what happens when the runs disagree. AI answers vary between runs and shift as models update, so a single screenshot is not a measurement. Ask how many runs sit behind a figure, and whether the disagreement between them is reported or averaged away.
The figure appears in the company's own llms.txt as a typical minimum engagement, not on a customer facing pricing page. No minimum commitment is stated.
Roadmap is a one time engagement at $7,500. Advisory starts at $3,000 per month. Full Service starts at $4,000 per month. Every tier books a strategy call.
Eight published GEO tiers from $3,000 a month upward, each with a stated six month commitment. Every route is a proposal request.
15 Sep 2026
Not published means the company publishes no price on its own site. Each price was read on the company's own site on the date in its row. Broadcastwell publishes this page and is not in this table; its prices are on its pricing page.
Five of the nine agencies on this page publish no price at all. The four that do publish monthly floors and from prices, so they are not directly comparable. What is comparable is whether the number can be acted on without a call, and none of the nine publishes an entry price a buyer can pay that way.
The Broadcastwell ladder is published in full. The Category Audit is $490 once, covering one category, ten buyer questions, five engines and three measured runs, with findings within 48 hours of the category being confirmed. The Fix Sprint is $2,900 once, or $2,410 after the Audit credit. The program is $13,500 per 90 days, billed $4,500 monthly, on a 90 day initial term and then month to month. Agency wholesale is $1,000 per client per month for the first client and $490 per client per month for each additional client.
The $490 credits once against the $2,900 Fix Sprint within 30 days of delivery, so the Sprint is $2,410. A standalone Category Audit is refundable in full, no questions asked, if requested within 30 days of delivery of the findings. The first month of the program is refundable in full at any time before month two is invoiced. The only exception is third party costs paid on the client's behalf, disclosed before they are incurred.
Questions
What is generative engine optimization?
It is the work of getting a company named and cited inside the answers AI engines produce, rather than ranked in a list of links. The unit of success is a mention or a citation inside an answer to a buyer question.
Is this list a measurement of which agency is best?
No, and it does not claim to be. Broadcastwell publishes this page and sells in this market. What the page does is count what each company publishes that a buyer can verify on the company's own site. The companies are listed alphabetically, none of them is ranked, and Broadcastwell is not on the list or in any table: it publishes the page and does not score itself. It is also excluded from its own measured research for the same reason.
Is Broadcastwell on this list?
No. Broadcastwell publishes this page and sells a $490 Category Audit, so it does not score itself. It is in no table on this page; a short note about the publisher sits after the list.
How much does a GEO engagement cost?
Published entry prices on this page run from $3,000 a month to $10,000 a month (checked 15 Sep 2026), and five of the nine agencies publish nothing. Broadcastwell, which publishes this page, sells a Category Audit at $490 once, a Fix Sprint at $2,900 once ($2,410 after the Audit credit), and a program at $13,500 per 90 days, billed $4,500 monthly.
Which AI engines should an agency be measuring?
Broadcastwell measures five and names them: ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode. Ask any firm which engines it covers and whether it reports them separately, because engines disagree with each other on the same question.
Can any agency guarantee a placement in an AI answer?
No. AI answers vary between runs and shift as models update, and no inclusion, ranking, lead or revenue can be guaranteed. What can be guaranteed is a term: Broadcastwell publishes a 90 day proof gate where the frozen question panel is re-scored at day 90, the named count must strictly improve, a tie fails, and month four is not invoiced if the gate is not met.
What should a buyer ask before signing anything?
Ask how the questions were written, because answers to questions that already contain a company name will usually contain that name. Ask how many runs sit behind each figure and whether the disagreement between runs is reported or averaged away. Ask what happens to the data if the engagement ends.
See where the engines place you
See which buyer questions leave you out, who is named instead of you, the sources visible in those answers, and the three changes worth testing first. The Category Audit covers one category, ten buyer questions, five engines and three measured runs.
Findings within 48 hours of your category confirmation. Refundable in full within 30 days of delivery. The $490 credits once against the $2,900 Fix Sprint within 30 days of delivery, so the Sprint is $2,410.