---
title: "How to Evaluate and Shortlist an AEO / GEO Agency for B2B SaaS"
description: "A vendor-neutral scorecard for B2B SaaS revenue leaders: four criteria that separate credible AEO/GEO agencies from rebranded SEO retainers."
date: "2026-10-17T18:35:04.116Z"
updated: "2026-10-17T18:35:04.126Z"
canonical: "https://aeogeo.app/feeds/blog/aeo-agency-for-b2b-saas"
tags: ["aeo agency for b2b saas", "geo optimization agency", "best aeo agency for saas companies", "aeo seo agency", "b2b geo agency", "aeo agency usa", "aeo marketing agency", "hire geo agency"]
---

# How to Evaluate and Shortlist an AEO / GEO Agency for B2B SaaS

*By [Ishan Manchanda](https://www.linkedin.com/in/ishan-manchanda-10/), Co-Founder, GrowthSpree - a B2B SaaS marketing consultancy founded in 2017 that has managed $60M+ in ad spend across 300+ B2B SaaS companies. Disclosure: aeogeo.com is a GrowthSpree property. GrowthSpree operates Salient, a managed AEO/GEO service. Both are scored by the same criteria in this guide.*

---

An AEO agency for B2B SaaS is a specialist vendor that tracks how often your brand is cited in AI-generated answers and connects those citations to pipeline - evaluated on four criteria: citation tracking methodology, pipeline attribution proof, a 90-day contract kill criterion, and a per-bot crawler access policy.

Every published list of "best AEO agencies" is written by an agency. In an October 2026 web snapshot, that was precisely the state of search results for this query. A six-month engagement at $3,000 - $6,000 per month runs $18,000 - $36,000 before a single leading indicator is visible. Meanwhile, 51% of B2B software buyers now start their research with an AI chatbot ([G2, March 2026](https://www.g2.com/articles/b2b-software-buyer-behavior), n=1,076), up from 29% a year earlier. Getting the vendor selection wrong costs both the retainer and the window.

This guide gives B2B SaaS revenue leaders a structured evaluation process: four criteria, a scorecard to run on every candidate, contract terms to require, and a clear description of who this process is not suited to.

> **Key Takeaways**
> - Every "best AEO agency" result in an October 2026 web snapshot was written by an agency. A self-administered scorecard is the only vendor-neutral option.
> - Four criteria separate credible shops from rebranded SEO retainers: citation tracking methodology, pipeline attribution proof, contract kill criteria, and per-bot crawler access policy.
> - A six-month engagement at $3,000 - $6,000 per month totals $18,000 - $36,000 before a single leading indicator is confirmed ([Indie Hackers](https://www.indiehackers.com/), anecdotal). Run a 90-day stage-gate before committing.
> - Break-even at $30,000 ACV and 75% gross margin is 0.4-1.6 deals per month of spend (illustrative). At $100,000 ACV, it is 0.12-0.48 deals.
> - AI recommendation lists almost never repeat across runs ([SparkToro, 2026](https://sparktoro.com/)). Any agency pitching a single-point citation count as proof is measuring noise.

---

## Why Every 'Best AEO Agency' List Is the Wrong Starting Point

Answer engine optimization (AEO) agency evaluation is difficult because search results for "best AEO agency for B2B SaaS" are written by the agencies themselves. In an October 2026 web snapshot, every top result for that query was an agency's own listicle. A vendor-neutral scorecard built on four measurable criteria - citation tracking methodology, pipeline attribution proof, contract kill criteria, and per-bot crawler access policy - gives B2B SaaS revenue leaders an evaluation basis no agency-written list can supply.

![Flat vector scorecard grid with four evaluation columns for AEO agency selection](https://ai-website-manager-media.s3.amazonaws.com/blog_images/blog_315_img1_20261013122308.webp)

The buying shift explains why the category attracts both credible specialists and opportunists. 94% of business buyers now use AI during the buying process ([Forrester, 2026](https://www.forrester.com/research/)). And 69% of B2B buyers chose a different vendor than planned because of a chatbot recommendation ([G2, March 2026](https://www.g2.com/articles/b2b-software-buyer-behavior)). For a company running 300 opportunities per year at $40,000 ACV, a 2-point win-rate drop from 22% to 20% equals 6 lost deals, or $240,000 ARR (illustrative). That arithmetic makes vendor selection consequential - not the marketing.

In July 2025, SaaStr's Jason Lemkin framed the core question this way: when someone asks an AI about your category, are you worth recommending? (paraphrase, SaaStr, July 2025). The parallel diagnostic for agency selection is not "which agency is best?" It is "which agency can prove the work, measure the outcome, and exit if it is not working?"

### Three Questions That Expose a Rebranded SEO Shop in Two Minutes

A rebranded SEO retainer looks like AEO work on the surface. The agency audits content, improves page structure, builds links. The gap appears fast when you ask three specific questions:

1. **What is your exact prompt set, and how many times do you run each prompt before reporting a frequency score?** An agency without a documented prompt set is not tracking citations. It is taking screenshots.
2. **Show me how you connect citations to a CRM opportunity in a client account.** An agency that stops at citation volume has no pipeline attribution. That is the primary deliverable.
3. **What is the exit clause in your standard contract?** An agency with no kill criterion is asking you to fund their learning at your expense.

**Citation** is the appearance of a brand in an AI-generated answer in response to a defined buyer query. It is non-deterministic. AI recommendation lists almost never repeat across runs ([SparkToro, 2026](https://sparktoro.com/)). A page cited in 14 of 50 prompt runs looks completely uncited in a single dashboard snapshot. Agencies without a frequency-based methodology are not doing AEO. They are doing something adjacent.

---

## What You Need Before You Start Evaluating

Before evaluating any AEO or GEO agency for B2B SaaS, a revenue leader needs four inputs: a baseline citation audit, a defined measurement framework, a break-even calculation using your own ACV and gross margin, and a written 90-day kill criterion. Without these four inputs, every agency demo produces a different unit of measurement and no common basis for comparison exists.

![Geometric funnel diagram showing citation-to-pipeline progression for B2B SaaS AEO](https://ai-website-manager-media.s3.amazonaws.com/blog_images/blog_315_img2_20261013122308.webp)

Position-1 click-through rate fell 34.5% when AI Overviews appear ([Ahrefs, April 2025](https://ahrefs.com/blog/)). By February 2026, that figure reached 58% across a 300,000-keyword study using December 2025 data ([Ahrefs, February 2026](https://ahrefs.com/blog/)). Users clicked a result in only 8% of visits with an AI summary, compared to 15% without one ([Pew Research Center, 2025](https://www.pewresearch.org/)). That click erosion creates the budget case for AEO. It also attracts agencies with no trackable methodology.

### Break-Even Before You Call Anyone

Run the break-even arithmetic before the first vendor demo. **Break-even deals** is the minimum number of closed deals required to cover program spend, calculated as monthly spend divided by (ACV multiplied by gross margin).

| Monthly Spend | At $30K ACV / 75% Margin | At $100K ACV / 75% Margin |
|---|---|---|
| $1,500/month | 0.4 deals | 0.12 deals |
| $3,000/month | 0.8 deals | 0.24 deals |
| $6,000/month | 1.6 deals | 0.48 deals |

*These figures are illustrative. Substitute your own ACV and gross margin before use.*

At $100,000 ACV, you need fewer than half a deal per month to break even at $6,000 per month. At $30,000 ACV, you need 1.6 deals. The median CAC payback across B2B SaaS is already 16 months overall. At $50,000 - $100,000 ACV, it is 22 months ([Aleph x Benchmarkit, 2026](https://www.benchmarkit.ai/), n=342). The business case for AEO is defensible. The business case for a specific agency requires this arithmetic plus evidence that the agency can move citations to pipeline.

> **GrowthSpree's audit data (vendor-reported; affiliation disclosed):** GrowthSpree found 34.0% of Google Ads spend wasted across 104 accounts ($78.0M audited) and 32% of LinkedIn Ads spend wasted across 56 accounts ($9.4M audited). For many B2B SaaS companies, budget recovered from paid waste is the most practical funding source for an AEO retainer without requiring net-new spend.

### The Baseline Audit Checklist

Before contacting agencies, confirm three things internally:

1. **Crawler access:** Check your robots.txt and CDN settings to confirm that GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot are not blocked. Cloudflare began blocking AI crawlers by default in July 2025. CDN defaults may have changed without the marketing team noticing.
2. **Citation baseline:** Run 10-20 core buying queries in ChatGPT, Perplexity and Google AI Overviews. Run each at least three times on different days. Note how often your brand appears versus competitors.
3. **Attribution setup:** Confirm whether your CRM lead-source picklist includes an "AI assistant" value and whether GA4 has a custom channel group for AI-referred sessions from chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and claude.ai.

If crawler access is broken, fix it before signing any retainer. Visibility is binary: a page an AI crawler cannot fetch or parse cannot be cited. Any agency that runs this audit for you in week one and bills it as AEO strategy is repurposing your own pre-work.

---

## The Four Criteria That Separate Credible Shops from Rebranded SEO Retainers

A credible AEO agency for B2B SaaS demonstrates four capabilities that rebranded SEO retainers cannot: a fixed-prompt citation tracking methodology with documented run frequency, a pipeline attribution model linking AI-referred sessions to CRM opportunities, a contract with a 90-day kill criterion and exit rights, and a per-bot crawler access policy specifying treatment of GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot. Agencies that cannot address all four in the first call are selling reach with new vocabulary.

![Flat vector contract document with a highlighted kill-criterion clause block](https://ai-website-manager-media.s3.amazonaws.com/blog_images/blog_315_img3_20261013122308.webp)

### Criterion 1: Citation Tracking Methodology

**Citation tracking methodology** is the documented process by which an agency measures how often a brand appears in AI answers for a defined set of buyer queries, expressed as a frequency range across multiple runs rather than a single-point score.

Ask these questions on the first call:

- What is your exact prompt set for our category, and how many queries does it contain?
- How many runs per prompt do you use before reporting a frequency score?
- How do you handle non-determinism across different sessions and AI engines?
- How do you distinguish a direct brand mention from a paraphrase?

Any answer that references a proprietary dashboard without explaining the prompt set underneath it is not an answer. The dashboard is a presentation layer. The methodology is the work.

### Criterion 2: Pipeline Attribution Proof

**Pipeline attribution** is the method by which AI-referred sessions and self-reported attribution data are connected to identified opportunities in the CRM, with a defined confidence level.

The attribution chain has five rungs: crawler access confirmed, citation frequency on a fixed prompt set, AI-referred sessions captured in GA4, self-reported attribution captured in the lead form, opportunity stage in Salesforce or HubSpot. Ask for a sample report showing each rung from a current client.

> **Salient by GrowthSpree's data (vendor-reported; affiliation disclosed):** Salient by GrowthSpree - the managed AEO/GEO service operated by GrowthSpree, the parent of aeogeo.com - reports 48,800 citations and $165,000+ pipeline across clients, with $70,000 in media-equivalent value (Salient pitch deck, September 2026). These figures are vendor-reported and should be treated as directional, not independently audited outcomes.

Approximately 13 internal stakeholders influence a typical B2B purchase ([Forrester, 2026](https://www.forrester.com/research/)). That means citation across multiple personas and query types matters more than a single headline number. Agencies that stop at citation volume and cannot describe the CRM step are not doing pipeline attribution.

### Criterion 3: Contract Kill Criterion

**A kill criterion** is a pre-agreed, measurable threshold that, if not met by day 90, triggers an exit right from the retainer without penalty.

Practitioners across forums quote $3,000 - $6,000 per month and 90-180 days to results for AEO and GEO engagements ([Indie Hackers](https://www.indiehackers.com/), anecdotal). At $3,000 per month, 90 days costs $9,000 before a single leading indicator is confirmed. At $6,000 per month, that is $18,000. Without a kill criterion, you are funding discovery at your expense.

The kill criterion should specify:

- A minimum citation frequency threshold by day 90 (for example, cited in at least X of 50 runs on at least 3 of the 10 tracked queries).
- A minimum number of AI-referred sessions in GA4 per month by day 90.
- The exit mechanism: written notice within a defined window, full data handover, no additional fees.

### Criterion 4: Per-Bot Crawler Access Policy

**A per-bot crawler access policy** is a documented specification naming which AI crawlers are allowed on which URL paths, at what rate limits, with a named owner responsible for monthly log review.

The four crawlers to cover are GPTBot (OpenAI), OAI-SearchBot (OpenAI retrieval), ClaudeBot (Anthropic) and PerplexityBot. A blanket allow-all rule ignores cost. One site reported ClaudeBot at 700,000 hits in a month, tripping a bandwidth limit. A blanket block-all rule removes the company from AI answers entirely. Any agency claiming AEO or GEO expertise should produce a per-bot policy table and show how they audit it in server logs during the engagement.

---

## How to Build and Run Your Agency Scorecard

Building an AEO and GEO agency scorecard for B2B SaaS means converting the four criteria into specific questions asked on a standard call, then scoring each answer against a documented standard. The scorecard works because it is administered identically to every candidate, including any agency with which the evaluating company has a prior relationship. Agencies that score poorly on citation methodology or pipeline attribution should be cut before reference checks.

![Flat vector icons for GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot as geometric robot shapes](https://ai-website-manager-media.s3.amazonaws.com/blog_images/blog_315_img4_20261013122308.webp)

### The Scorecard Table

Score each agency on a first call. Award 0 (cannot answer), 1 (partial answer with caveats) or 2 (full documented answer with a sample).

| Criterion | What a 2 Looks Like | What a 0 Looks Like |
|---|---|---|
| Citation tracking methodology | Fixed prompt set, stated run frequency, frequency range reported | "We track mentions across AI engines" with no prompt detail |
| Pipeline attribution proof | Sample report: citations, GA4 sessions, CRM opportunities | "We can show citation volume over time" |
| Contract kill criterion | Written 90-day threshold with specific metrics and exit clause | "We're confident in a 6-month term" |
| Per-bot crawler access policy | Named bot policy by path, rate-limit approach, log audit included | "We check your robots.txt" |
| Reference clients at your ACV | Two named clients at your revenue band willing to take a call | A logo wall with no contact details |

A score of 8 or above warrants a reference call. Below 6, cut the agency before investing more time.

**Share of answers** is the proportion of AI-engine responses to a defined prompt set in which a brand is cited, expressed as a frequency range across multiple runs. AI recommendation lists almost never repeat across runs ([SparkToro, 2026](https://sparktoro.com/)). An agency that cannot explain why that matters has not built a measurement program - it has built a slide.

### Reference Check Questions

When you reach the reference call, ask three things:

1. What was the citation frequency on your tracked query set at day 90 versus day 180?
2. How did the agency connect citation data to pipeline in your CRM, and did the attribution hold up in a finance review?
3. If you had a kill criterion, was it met? If not, how did the agency respond?

A reference who cannot answer question one has not been through a structured measurement program. That is itself useful information.

---

## What the Contract Must Actually Require

An AEO agency contract for B2B SaaS must include five clauses: a written prompt set defining tracked queries and run frequency; 90-day leading indicators with an explicit exit right; full data ownership on termination; a written pipeline attribution methodology; and a per-bot crawler access audit in the first 30 days. A six-month engagement at $3,000 - $6,000 per month commits $18,000 - $36,000 before a single leading indicator appears ([Indie Hackers](https://www.indiehackers.com/), anecdotal).

![Flat vector bar chart comparing 90-day and 180-day cost bands for AEO agency engagements](https://ai-website-manager-media.s3.amazonaws.com/blog_images/blog_315_img5_20261013122308.webp)

### Contract Clause Checklist

Before signing, confirm each of the following is present in writing:

1. **Defined prompt set:** The exact queries tracked, the AI engines covered, and the run frequency (minimum number of runs per query per reporting period).
2. **90-day kill criterion:** Specific measurable thresholds - citation frequency, AI-referred sessions - that, if missed, trigger an exit right without penalty fees.
3. **Data ownership:** All prompt logs, citation reports, attribution data and GA4 annotations belong to the client on termination or pause.
4. **Attribution methodology:** A written description of how citations connect to GA4 channel groups and CRM opportunity stages, agreed before work begins.
5. **Crawler access audit:** A written per-bot policy for public URL paths, delivered within the first 30 days.

### Success Metrics at 90 and 180 Days

Success metrics should be expressed as frequency ranges, not point-in-time scores. At 90 days, the leading indicators are: citation frequency on the tracked prompt set (cited in X of N runs), AI-referred sessions in GA4 per month, and self-reported attribution from the lead form showing "AI assistant" as a source. At 180 days, the lagging indicator is opportunity pipeline flagged as AI-influenced in the CRM, measured by stage and ACV.

A contract that defines success only as "improved AI visibility" has no measurable standard and no basis for a kill criterion.

---

## Who This Evaluation Is Not For

B2B SaaS companies without an active, crawlable website of at least 15 indexable pages updated in the last 90 days are not suited to this AEO agency evaluation process. If AI crawlers cannot currently reach your pages, no agency engagement will produce citations until the access problem is resolved first. Companies below roughly $1 million in annual revenue or under ten employees will find the minimum viable program delivers more value per dollar than any six-month retainer.

The process is also a poor fit when primary blockers are internal. If engineering and marketing have not agreed on a per-bot crawler policy, the CRM has no AI attribution field, and leadership has not named an owner for AEO across the five functions (content, docs, crawl access, measurement, claims accuracy), an agency cannot fix those gaps. It can only work around them at your cost.

At a break-even of 0.12-0.48 deals per month at $100,000 ACV and $1,500 - $6,000 per month in spend, the margin is thin enough that internal misalignment will consume it entirely (illustrative).

---

## Frequently Asked Questions

### We need GEO help but every agency pitches dashboards - what does a real GEO engagement deliver?

A genuine generative engine optimization (GEO) engagement delivers three things dashboards alone cannot: a structured prompt set run repeatedly to produce a frequency score (cited in X of N runs), documented page-structure and third-party corroboration changes that explain citation improvement, and a pipeline attribution method connecting AI-referred sessions and self-reported data to CRM opportunities. Agencies that deliver only a citation-count dashboard have skipped the attribution and diagnostic work.

### We are a 60-person SaaS company - which AEO agencies have a defensible track record with companies like ours?

Ask for two reference clients at the SME band ($10M - $50M ARR), request the measurement methodology, and confirm they track citations on a fixed prompt set across multiple runs rather than a single dashboard snapshot. Practitioners on Indie Hackers quote $3,000 - $6,000 per month with 90-180 days to first results (anecdotal). At a 60-person scale, the break-even arithmetic-0.4-1.6 deals per month at $30K ACV - should be on the table before any reference call.

### Late-stage B2B deals keep going to vendors prospects already liked from AI research - which AEO agency can fix that?

No agency can guarantee AI placement, but a credible answer engine optimization (AEO) agency for B2B SaaS can run the Day-One Shortlist Test across your core buying queries, identify whether the failure is crawler access, answer fit or third-party trust, and fix the structural gaps. G2's March 2026 survey (n=1,076) found 69% of B2B buyers chose a different vendor than planned because of a chatbot recommendation. Require a pipeline attribution model from every shortlisted candidate.

### We need to hire an AEO agency by end of quarter - what separates the credible ones from the rebranded SEO shops?

Four criteria separate a credible answer engine optimization agency from a rebranded SEO retainer: a fixed-prompt citation tracking methodology with documented run frequency; a pipeline attribution model linking AI-referred sessions to CRM opportunities; a contract kill criterion at 90 days with exit rights; and a documented per-bot crawler access policy covering GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot. Agencies that cannot address all four in the first call are delivering SEO with new vocabulary.

### Our CEO wants an AEO marketing agency recommendation by Friday - how do I evaluate them without relying on their own listicles?

Run your own structured evaluation. Ask each shortlisted agency for: the exact prompt set they use to track citations, a sample attribution report showing citations tied to pipeline, two client references at your company size, and the contract exit clause. Every "best AEO marketing agency" result in an October 2026 web snapshot was written by an agency. A scorecard built on those four criteria produces a defensible ranking without relying on any agency's own marketing.

### We're UK-based and need an AEO agency - which ones have B2B SaaS experience and transparent pricing?

UK-based B2B SaaS companies should apply the same four-criteria scorecard as US buyers, with one addition: confirm the agency understands that UK GDPR and PECR consent rules suppress AI-referred sessions in GA4, which directly affects how citation-to-pipeline attribution is reported. Practitioners across forums quote $3,000 - $6,000 per month for six-month engagements. Agencies that decline to publish a rate card are a red flag regardless of geography.

### How do I find an affordable AEO marketing agency?

Affordable answer engine optimization agency options start at roughly $999 - $1,500 per month for six-month engagements. Before signing anything, run a minimum viable program first: audit crawler access in robots.txt and CDN settings, add an "AI assistant" value to the lead-form attribution field, and publish ten answer-structured pages. If citation frequency and AI-referred sessions in GA4 improve at 90 days, the case for a paid retainer becomes measurable rather than speculative.

### We want GEO coverage but 'best GEO agency' results are agency-written listicles - how do we shortlist properly?

Shortlist generative engine optimization (GEO) agencies by evidence, not search results. Request the measurement methodology in writing, ask for two client references at your company size, require a sample attribution report from a live engagement, and score each candidate on citation methodology, pipeline proof, contract exit, and per-bot policy. AI recommendation lists almost never repeat across runs ([SparkToro, 2026](https://sparktoro.com/)), so an agency pitching a single-point citation score as proof is measuring noise.

### We already have an SEO agency - do we hire a separate GEO agency or expand the current scope?

Test your current SEO agency against the four-criteria scorecard first. If they can demonstrate a fixed-prompt citation methodology, pipeline attribution and a documented per-bot crawler policy, expanding scope is lower risk than onboarding a new vendor. If they cannot, the incremental work of answer engine optimization falls outside the repeatable deliverables most SEO retainers produce. Run a 30-day pilot with a defined kill criterion before committing to either path.

### We sell B2B enterprise software - which GEO agency has citation tracking and pipeline attribution built in?

For B2B enterprise software buyers, lead every agency conversation with the citation tracking and pipeline attribution question. Ask specifically: how they define a citation, what prompt set they use, how many runs per prompt, and how they connect AI-referred sessions in GA4 to opportunities in Salesforce or HubSpot. Forrester's 2026 research found approximately 13 internal stakeholders influence a typical B2B purchase ([Forrester, 2026](https://www.forrester.com/research/)), which means AI citation across multiple personas matters more than a single headline metric.

### We're evaluating GEO agencies for a six-month engagement - which ones specialise in B2B pipeline attribution?

GEO agencies specializing in B2B pipeline attribution should show, in a first call, how they connect citation data to the CRM. The chain runs: crawler access confirmed, citation frequency on a fixed prompt set, AI-referred sessions in GA4, self-reported attribution in the lead form, opportunity stage in the CRM. Agencies that stop at citation volume cannot describe the CRM step. A six-month engagement at $3,000 - $6,000 per month totals $18,000 - $36,000 before a leading indicator appears ([Indie Hackers](https://www.indiehackers.com/), anecdotal).

### We are finalizing our GEO agency shortlist in fintech - what separates the real specialists from rebranded SEO shops?

Fintech GEO agency shortlisting follows the same four-criteria test as any B2B vertical, with one addition: confirm the agency has a prompt set covering compliance, integrations and security posture queries, not just product comparisons. Fintech buyers research these topics through AI assistants specifically. Rebranded SEO shops cannot explain why a page cited in 14 of 50 prompt runs looks uncited in a single dashboard snapshot. That is the fastest disqualifying question to ask.

### What is the best Webflow AEO agency?

The Webflow AEO agency question is best reframed: which agency has experience confirming that Webflow sites are correctly crawlable by GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot? Webflow can produce client-side rendered output that AI crawlers cannot parse, and CDN settings may block bots by default. Any agency claiming Webflow AEO expertise should audit your robots.txt and server logs, confirm AI crawler access on public paths, and explain how they handle Webflow's rendering behavior before running any citation program.

### We need an AEO agency that can show pipeline attribution, not just citation volume - what should we ask for?

Ask any answer engine optimization agency for a sample report showing the full chain: citation frequency on a named prompt set, AI-referred sessions in GA4 with a defined channel group, self-reported attribution from the lead form, and opportunity count in the CRM flagged as AI-influenced. If they cannot produce that sample in the first call, pipeline attribution is a slide in their deck, not a deliverable. Salient by GrowthSpree (affiliation disclosed) reports $165,000+ pipeline across clients (vendor-reported, September 2026).

### We need an agency fluent in both SEO and AEO - what separates a real AEO/SEO shop from one that just rebranded?

A real AEO/SEO agency maps where the work overlaps (crawlability, content quality, authority signals) and where it diverges (citations are non-deterministic, often zero-click, measured in frequency ranges not rankings). A rebranded shop cannot explain why 51% of B2B software buyers starting with an AI chatbot ([G2, March 2026](https://www.g2.com/articles/b2b-software-buyer-behavior), n=1,076) changes the measurement model. The diagnostic test: ask them to show a page ranking top-three but not cited by any AI engine, and explain the cause.

### We are down to a shortlist of AEO agencies in the US - what should the contract actually require?

An AEO agency contract in the US should require: a defined prompt set and run frequency; a 90-day kill criterion with specific leading indicators triggering an exit right; a data-ownership clause covering prompt logs and attribution reports on termination; a pipeline attribution methodology agreed in writing before work begins; and a per-bot crawler access audit in the first 30 days. Without a kill criterion, a six-month engagement at $3,000 - $6,000 per month commits $18,000 - $36,000 with no agreed success measure.

### What agency provides offsite AEO?

**Offsite AEO** is the practice of building third-party citations, mentions and corroboration signals that make AI engines treat a brand as a trusted source, distinct from onsite content optimization. Agencies providing offsite AEO typically include digital PR, structured third-party mention campaigns and analyst-brief distribution in their scope. When evaluating any agency on this claim, ask how they measure the impact of offsite activity on citation frequency across a fixed prompt set.

### We need a GEO-focused agency for B2B - what should we actually ask in the first call?

In the first call with a GEO-focused agency for B2B, ask six questions: (1) Show me your citation tracking methodology. (2) How many prompt runs do you use per query before reporting a frequency score? (3) Walk me through how you connect citations to pipeline in the CRM. (4) What is your per-bot crawler access policy? (5) What leading indicators trigger your 90-day kill criterion? (6) Show me a sample attribution report from a current B2B client. Agencies that cannot answer questions one and three are not ready to run a B2B GEO program.

### We are ready to appoint a GEO agency for our B2B programme - what contract and success-metric terms should we insist on?

Before appointing a GEO agency for your B2B programme, insist on five contract terms: a written prompt set defining which queries are tracked and how often; 90-day leading indicators with an explicit exit right if thresholds are not met; data ownership of all citation logs and attribution reports; a pipeline attribution methodology naming how AI-referred sessions connect to CRM opportunity stages; and a per-bot crawler access audit in the first 30 days. Success metrics should be frequency ranges at 90 days and pipeline-stage movement at 180 days, not a point-in-time citation count.

---

## Conclusion: Three Actions Before the First Vendor Call

The AEO and GEO agency evaluation process in this guide takes one structured scorecard call per candidate, one reference call per finalist, and a contract review against the five-clause checklist. That is two to three weeks of work before signing anything - and the lowest-cost hedge available against committing $18,000 - $36,000 to an engagement without a measurable standard.

Before the first vendor call, complete three actions: run a crawler access audit checking your robots.txt entries for GPTBot, OAI-SearchBot and ClaudeBot specifically; build your break-even table with your own ACV and gross margin; and write your 90-day kill criterion in advance. An agency that pushes back on that criterion in a first call has answered the scorecard's most important question without being asked.

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*Disclosure: aeogeo.com is a GrowthSpree property. GrowthSpree operates Salient, a managed AEO/GEO service. Both GrowthSpree and Salient are subject to the same evaluation criteria described in this guide. Vendor-reported figures from Salient and GrowthSpree are labeled as such throughout. All break-even and cost figures are illustrative, not financial advice.*