---
title: "Apollo"
type: "AI Tool"
url: "https://aidemos.com/tools/apollo"
description: "Apollo covers company search, contact discovery, browser-based enrichment, and AI outreach drafting in one workflow, but contact freshness and personalizat"
category: "text"
website: "https://www.apollo.io"
authors:
  - "Ajay V"
published: "2026-06-15T09:43:54.922Z"
updated: "2026-06-17T08:47:01.241Z"
---

# Apollo

Apollo covers company search, contact discovery, browser-based enrichment, and AI outreach drafting in one workflow, but contact freshness and personalization depth still need validation.

`Company + people search` · `Chrome extension` · `AI email drafting` · `Search + enrichment API`

**Website:** [Visit Apollo](https://www.apollo.io)

> **Strong all-in-one workflow, mixed data reliability**
>
> Apollo met the core outreach workflow in testing: it found companies, surfaced employees, exposed some direct contact data, worked inside LinkedIn and company sites through its Chrome extension, offered APIs for automation, and generated usable outreach drafts. The tradeoff is data reliability and depth. Employee coverage was not fully fresh in validation, some contact records needed confidence checks, and the strongest email mode personalized mainly at the company level rather than deeply at the individual level.

## Demo Recording

[Video: Apollo demo recording](https://d3epheqghktydj.cloudfront.net/apollo-apollo-demo-video.webm)
*Video — Hands-on Apollo workflow demo captured during testing.*

## Feature-by-Feature Breakdown

### Company search by domain

**Verdict:** Returned the right company for a known target.

Tested whether Apollo could find a real company from the query "vespa.ai" and return a usable company record as the starting point for prospecting.

**Input:** Search query

```
Search Apollo Find companies for: vespa.ai
```

**Output:** Apollo company search result

![Apollo company search result](https://d3epheqghktydj.cloudfront.net/apollo-apollo-find-companies-vespa-search.png)
*Image: Apollo company search result*

**Bottom line:** Apollo handled a known company/domain lookup cleanly.

### Known-person lookup

**Verdict:** Strong for locating named prospects.

Tested people search with the known prospect "Tytus Golas" to see whether Apollo could surface the intended person and enough context to verify identity before outreach.

**Input:** People search

```
Search Apollo Find people for: Tytus Golas
```

**Output:** Apollo people search result

![Apollo people search result](https://d3epheqghktydj.cloudfront.net/apollo-apollo-find-people-tytus-golas.png)
*Image: Apollo people search result*

**Bottom line:** Apollo is effective when you already know the person you want to reach.

### Prospect relevance still needs manual validation

**Verdict:** Plausible matches are not the same as confirmed prospects.

Tested whether a contact surfaced from a company record could be treated as a qualified prospect without additional checking by reviewing Apollo's Chapple company page and then cross-checking the related LinkedIn profile.

**Input:** Company record review

```
Open the Apollo company page for Chapple and inspect the people table.
```

**Output:** Apollo company page

![Apollo company page](https://d3epheqghktydj.cloudfront.net/apollo-apollo-company-page-chapple.png)
*Image: Apollo company page*

**Input:** Manual validation step

```
Cross-check the surfaced contact against LinkedIn: Ann Chapple
```

**Output:** LinkedIn validation

![LinkedIn validation](https://d3epheqghktydj.cloudfront.net/apollo-linkedin-profile-ann-chapple.png)
*Image: LinkedIn validation*

**Bottom line:** Apollo can surface likely contacts, but users still need to confirm role and relevance before outreach.

### Contact accuracy on surfaced emails

**Verdict:** Usable contact data exists, but accuracy is not guaranteed on hard cases.

Tested a contact-accuracy edge case by searching Vespa.ai for Frode Lundgren in Apollo and comparing the returned email against an externally verified contact record.

**Input:** Apollo contact lookup

```
Open the Vespa.ai company page in Apollo and filter people for: Frode Lundgren
```

**Output:** Apollo surfaced email

![Apollo surfaced email](https://d3epheqghktydj.cloudfront.net/apollo-apollo-vespa-ai-filtered-contact.png)
*Image: Apollo surfaced email*

**Input:** External validation

```
Validate the surfaced Frode Lundgren email against an external verified contact record.
```

**Output:** Verified comparison record

![Verified comparison record](https://d3epheqghktydj.cloudfront.net/apollo-smartlead-verified-contact-table.png)
*Image: Verified comparison record*

**Bottom line:** Apollo can expose direct emails, but researchers should still verify them before sending.

### Employee coverage and freshness

**Verdict:** Good breadth, imperfect freshness.

Tested how completely Apollo represented FutureSmart AI by reviewing the company's employee list and comparing it against current company information.

**Input:** Company employee listing

```
Open the Apollo company page for FutureSmart AI and review the people list.
```

**Output:** Apollo employee list

![Apollo employee list](https://d3epheqghktydj.cloudfront.net/apollo-apollo-company-page-futuresmart-ai.png)
*Image: Apollo employee list*

**Bottom line:** Apollo gives a useful org snapshot, but not a guaranteed current roster.

### Natural-language prospect discovery

**Verdict:** Good at turning intent into filters, not at delivering a finished shortlist.

Tested Apollo AI Assistant with the prompt: "Find 10 AI startups in customer support automation and identify the most relevant contacts for partnership outreach."

**Input:** AI Assistant prompt

```
Find 10 AI startups in customer support automation and identify the most relevant contacts for partnership outreach.
```

**Output:** Apollo AI Assistant result

![Apollo AI Assistant result](https://d3epheqghktydj.cloudfront.net/apollo-apollo-ai-startups-customer-support-filtered-search.png)
*Image: Apollo AI Assistant result*

**Bottom line:** The AI Assistant helps structure prospecting searches, but users still need to narrow and qualify the results.

### Chrome extension enrichment on LinkedIn and websites

**Verdict:** Helpful for inline research and faster workflow handoff.

Tested Apollo's browser extension on a real LinkedIn profile and on a company website to see whether it could surface prospect and company information without leaving the page.

**Input:** LinkedIn extension test

```
Open Tytus Golas's LinkedIn profile with the Apollo extension active.
```

**Output:** LinkedIn + Apollo panel

![LinkedIn + Apollo panel](https://d3epheqghktydj.cloudfront.net/apollo-linkedin-plus-apollo-contact-panel-tytus-golas.png)
*Image: LinkedIn + Apollo panel*

**Input:** Website extension test

```
Visit marblism.com with the Apollo extension active.
```

**Output:** Website + Apollo company sidebar

![Website + Apollo company sidebar](https://d3epheqghktydj.cloudfront.net/apollo-marblism-landing-page-with-apollo-company-sidebar.png)
*Image: Website + Apollo company sidebar*

**Bottom line:** The extension materially reduces manual effort when researching prospects in the browser.

### API search and enrichment access

**Verdict:** Automation-friendly.

Tested whether Apollo exposes APIs for search and enrichment workflows that could be integrated into internal automation.

**Input:** Developer portal check

```
Review Apollo's API Developer Portal for prospect search and enrichment capabilities.
```

**Output:** Apollo API quickstart

![Apollo API quickstart](https://d3epheqghktydj.cloudfront.net/apollo-apollo-api-quickstart-dashboard.png)
*Image: Apollo API quickstart*

**Bottom line:** Apollo can plug into internal prospecting workflows instead of forcing everything through the UI.

### Template-based outreach drafts

**Verdict:** Fast but rigid.

Tested Apollo's template-style email generation in a sequence using the AIDemos outreach context and a subject template that personalized the company name.

**Input:** Email generation context

[Pdf: Email generation context](https://d3epheqghktydj.cloudfront.net/apollo-aidemos-outreach-context.pdf)

**Output:** Template-mode sequence preview

![Template-mode sequence preview](https://d3epheqghktydj.cloudfront.net/apollo-apollo-outbound-sequence-editor-preview.png)
*Image: Template-mode sequence preview*

**Bottom line:** Template mode is quick to launch, but it does not add much intelligence by itself.

### Prompt-driven email writing

**Verdict:** More controllable than templates when the prompt is good.

Tested Apollo's prompt mode by providing business context and instructions for an outbound email instead of relying on a rigid template.

**Input:** Email generation context

[Pdf: Email generation context](https://d3epheqghktydj.cloudfront.net/apollo-aidemos-outreach-context.pdf)

**Output:** Prompt editor + preview

![Prompt editor + preview](https://d3epheqghktydj.cloudfront.net/apollo-apollo-outbound-email-prompt-editor.png)
*Image: Prompt editor + preview*

**Input:** Preview generation

```
Generate a full prompt-driven preview for Tytus Golas at Tidio.
```

**Output:** Prompt-mode email output

![Prompt-mode email output](https://d3epheqghktydj.cloudfront.net/apollo-apollo-email-preview-tidio-outreach.png)
*Image: Prompt-mode email output*

**Bottom line:** Prompt mode outperformed templates, but success depended heavily on the instructions supplied by the user.

### Assisted personalization with Apollo research signals

**Verdict:** Best draft quality in the test, but still mostly company-level personalization.

Tested Apollo's assisted email mode, which can pull in research signals such as company news, network posts, job postings, executive persona research, and strategic company research.

**Input:** Email generation context

[Pdf: Email generation context](https://d3epheqghktydj.cloudfront.net/apollo-aidemos-outreach-context.pdf)

**Output:** Assisted mode setup

![Assisted mode setup](https://d3epheqghktydj.cloudfront.net/apollo-apollo-email-type-and-research-options.png)
*Image: Assisted mode setup*

**Input:** Assisted preview generation

```
Generate an assisted outreach draft for Tytus Golas focused on Tidio's AI support positioning.
```

**Output:** Assisted-mode email output

![Assisted-mode email output](https://d3epheqghktydj.cloudfront.net/apollo-apollo-email-preview-support-proof-gap.png)
*Image: Assisted-mode email output*

**Bottom line:** Assisted mode was Apollo's strongest writing workflow in this test, but it still stopped short of deep one-to-one personalization.

## Apollo pricing observed during testing

Plans captured from Apollo's billing page during the research. Annual billing was shown in the screenshots.

| Plan | Price | Notes |
| --- | --- | --- |
| Free | $0 | Current plan in the captured view; 75 credits. |
| Basic ★ | $49 per seat/month | Billed annually; 30,000 credits. Selected in the captured billing view. |
| Professional | $79 per seat/month | Billed annually; 48,000 credits. |
| Organization | $119 per seat/month | Billed annually; 72,000 credits. |

*The captured billing summary showed the Basic plan at $588/year for 1 seat when billed annually.*

## Is This Right For You?

A side-by-side guide based on our hands-on testing.

**✓ Use This If**
- You want company discovery, people search, contact lookup, and email drafting in one platform.
- You research prospects directly on LinkedIn or company websites and want inline enrichment from a browser extension.
- You need Search API and Enrichment API access for internal prospecting or enrichment workflows.

**✕ Skip This If**
- You need employee lists to be fully current without manual verification.
- You need every surfaced direct email to be treated as verified and ready to send.
- You want highly individualized prospect-level personalization without carefully prompting or reviewing the output.

## Classification

- **Type:** text
- **Built for:** Marketing

## Frequently Asked Questions

**Q: Can Apollo find a company from a domain or company search?**

Yes. In testing, Apollo returned a matching company result for the search "vespa.ai," giving a usable starting record for prospecting inside the platform.

**Q: Can Apollo find a known person and show enough context to verify them?**

Yes. Searching for Tytus Golas returned the intended contact along with role and other profile context, which helped reduce manual identity checking before outreach.

**Q: How accurate is Apollo's contact data?**

Mixed. Apollo surfaced direct emails for some contacts, but a Vespa.ai test returned frodelu@vespa.ai for Frode Lundgren while an external validation record showed a different verified address, frode@vespa.ai. The result is usable for research, but email data should still be verified before sending.

**Q: How complete are Apollo's employee lists?**

Apollo showed useful breadth, but not perfect freshness. For FutureSmart AI, Apollo surfaced 24 employee records across multiple roles, yet validation against current company information indicated that some team members were missing and some surfaced people may no longer have been current.

**Q: Does Apollo support prospecting from LinkedIn and company websites?**

Yes. In testing, Apollo's Chrome extension matched Tytus Golas directly on LinkedIn and surfaced contact actions in-page. It also identified Marblism from the company website and showed company enrichment data in a sidebar.

**Q: Can Apollo turn a natural-language request into a prospect search?**

Yes, but it behaves more like an AI search-builder than a finished SDR agent. The prompt about finding AI startups in customer support automation was converted into filters and returned a large pool of matching companies, which still required narrowing and selection.

**Q: How good is Apollo's AI email generation?**

Template mode mostly mirrored the original template with light personalization. Prompt mode reflected the user's instructions and business context more directly. Assisted mode produced the strongest draft by incorporating company-level research signals, but prospect-specific personalization remained limited.

**Q: Does Apollo have an API for automation?**

Yes. The developer portal showed separate Search API and Enrichment API entry points, indicating Apollo can support programmatic search and enrichment workflows outside the web app.

**Q: What pricing was visible during testing?**

The billing page showed Free at $0 with 75 credits, Basic at $49 per seat per month billed annually with 30,000 credits, Professional at $79 with 48,000 credits, and Organization at $119 with 72,000 credits. The captured Basic summary showed $588/year for 1 seat.

## Similar Tools

AI tools similar to Apollo:

- [Hunter](https://aidemos.com/tools/hunter) — Find company contacts, verify email addresses, and draft cold outreach from one platform—though coverage and AI relevance are uneven.
- [Clay](https://aidemos.com/tools/clay) — Clay brings company search, people discovery, enrichment, and AI email drafting into one outreach workflow, but it still needs validation steps and has notable Chrome/API limits.
- [Snov.io](https://aidemos.com/tools/snov-io) — All-in-one lead discovery and outreach drafting that covers the workflow, but still needs manual validation.
- [Saleshandy](https://aidemos.com/tools/saleshandy) — Saleshandy covers lead search, contact lookup, and AI outreach drafting in one platform, but the testing found uneven people-search coverage and only moderate AI prospecting precision.