The Prompting Company

Cover Block

Public sources

Field	Detail
Name	The Prompting Company
Tagline	Helps companies optimize web content to appear in AI assistant recommendations and agentic browsing systems [TechCrunch, October 2025]
Headquarters	San Francisco, California, US [The SaaS News, November 2025]
Founded	2025 [TechCrunch, October 2025]
Stage	Seed [TechCrunch, October 2025]
Business model	SaaS
Technology	AI / Machine Learning
Geography	North America
Growth profile	Venture Scale
Founding team	Kevin Chandra, Michelle Marcelline, Albert Purnama, Albert Putra Purnama [TechCrunch, October 2025] [Peak XV Partners]
Funding label	Seed
Total disclosed	Approximately $7,000,000, consisting of a $500,000 Y Combinator seed investment in January 2025 and a $6,500,000 seed round in October 2025 [Y Combinator] [TechCrunch, October 2025]

Links

Public sources

• Website: https://promptingcompany.com/
• Y Combinator: https://www.ycombinator.com/companies/the-prompting-company
• Crunchbase: https://www.crunchbase.com/organization/the-prompting-company
• PitchBook: https://pitchbook.com/profiles/company/960741-28
• X / Twitter: https://x.com/michwirantono

Executive Summary

PUBLIC The Prompting Company builds software that helps brands and software vendors shape how AI assistants and agentic systems describe, recommend, and use their products, and it merits attention now because it sits directly on a new distribution layer that has started to matter before a buyer ever clicks a website [TechCrunch, October 2025] [promptingcompany.com] [Y Combinator]. Founded in 2025 in San Francisco, the company is positioning itself around what several outlets describe as generative engine optimization, with a practical wedge in creating and refining web content so AI systems can find, cite, and act on it more reliably [TechCrunch, October 2025] [The SaaS News, November 2025] [Tech Economy, October 2025].

The product appears to combine monitoring of how assistants talk about a product with content generation and domain-level audits, and the company is also experimenting with what it calls "Agent Experience," where an agent completes a task inside the product rather than merely referencing it [promptingcompany.com] [promptingcompany.com/free-tools] [LinkedIn, retrieved 2026]. That is a more ambitious positioning than conventional SEO software, although the evidence in public sources still leans heavily on company description and reported customer outcomes rather than independently verified performance data [TechCrunch, October 2025] [promptingcompany.com].

The founding team is the main reason the story is easier to underwrite than the category alone. Kevin Chandra, Michelle Marcelline, and Albert Purnama are publicly tied to prior YC-backed companies Typedream and Cotter, which gives the company repeat-founder credibility and some evidence of distribution and product-building experience in developer and software markets [TechCrunch, October 2025] [Forbes Business Council, retrieved 2026] [Forbes Technology Council, retrieved 2026].

On financing, public reporting supports a $6.5 million seed round led by Peak XV Partners in October 2025, with Base10 Partners, Y Combinator, Firedrop, and Logan Kilpatrick also named as participants; structured research also references an earlier $500,000 YC seed check in January 2025, though that earlier round is less cleanly corroborated in named public reporting [TechCrunch, October 2025] [The SaaS News, November 2025] [Crunchbase]. The business model is straightforward SaaS, and the company publicly advertises a recommended $2,500 per month plan that includes 100 AI-optimized articles, which suggests an initial wedge that blends software workflow with managed content output [promptingcompany.com/pricing].

Over the next 12 to 18 months, the central questions are whether AI-discovery optimization becomes a durable software budget, whether reported early traction converts into repeatable retention, and whether the company can defend its position as platforms and incumbent SEO vendors move toward the same workflow [TechCrunch, October 2025] [aiseotracker.com] [Y Combinator]. Public evidence is directionally encouraging, but several operating claims, including page volume, traffic impact, and parts of the product roadmap, remain company-reported and should be treated that way [TechCrunch, October 2025] [promptingcompany.com].

Company-stated, unverified -- This section relies on a mix of named media coverage and company-controlled sources, and several material operating claims remain company-reported or only partially corroborated.

Taxonomy Snapshot

Axis	Value
Stage	Seed
Business Model	SaaS
Industry / Vertical	Other
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Total disclosed approximately $7,000,000

How the Company Got Here

PUBLIC

The Prompting Company is a San Francisco startup formed in 2025 around a narrow but timely problem: how products get surfaced inside AI assistants, rather than only inside traditional search results [Crunchbase]. The company describes its work in plain terms on its website, saying it helps teams track how AI assistants talk about a product and turn that into something agents can find, choose, and use [promptingcompany.com, retrieved 2026]. Crunchbase lists the company as founded in 2025 and headquartered in San Francisco, California [Crunchbase].

The public record on formation is still thin, which is typical for a company at this age. Crunchbase identifies Michelle Marcelline as a founder, while the company site establishes the operating focus and product positioning rather than the legal structure [Crunchbase] [promptingcompany.com, retrieved 2026]. No state filing or other public corporate document was provided in the source set, so the legal entity name should be treated as unconfirmed in this section.

The clearest public milestones are early and compressed. The company entered Y Combinator's orbit in 2025, according to its YC company profile, and by 2026 its website had expanded from a simple positioning page into a product surface that included AI assistant tracking, enterprise messaging, free audit tools, and a public search endpoint for documentation retrieval [Y Combinator] [promptingcompany.com, retrieved 2026]. That sequence suggests a company moving quickly from concept articulation to shipping product, though the exact launch dates for each feature are not established by the cited public materials.

Lightly corroborated -- Confirmed in part by Crunchbase, Y Combinator, and the company website, but legal entity details and some chronology remain only partially corroborated.

Product and Technology

Sources and analysis

The product story is fairly clear even at this early stage: The Prompting Company is selling a workflow for AI discovery, not a general SEO suite. On its homepage, the company says it helps teams "track how AI assistants talk about your product" and then turn that signal into a product and content surface that agents can "find, choose, and use" [promptingcompany.com, retrieved 2026]. Press coverage describes the same wedge more plainly, as creating and optimizing web content so AI assistants and agentic browsing systems are more likely to mention or recommend a customer product [TechCrunch, October 2025].

The public product surface appears to have three layers. First, the platform identifies the questions users ask and generates content intended to rank inside AI answer flows rather than only on traditional search pages [promptingcompany.com, retrieved 2026]. Second, the company offers audit and benchmarking utilities, including domain checks for AI-readiness artifacts, competitive positioning across AI search engines, and other free tools around AI search behavior [promptingcompany.com/free-tools]. Third, its pricing page points to a managed content motion, with a recommended $2,500 per month plan that includes 100 AI-optimized articles [promptingcompany.com/pricing]. TechCrunch reported that by October 2025 the company had created about 500,000 pages for customers, which it said were generating tens of millions of visits per month, but those operating figures should be treated as company-reported rather than independently audited [TechCrunch, October 2025].

A second product thread is visible through the site's machine-readable interfaces and related documentation. The homepage exposes a search endpoint through Context7 that returns documentation with source links, and also supports agent queries directly against the site with plaintext, markdown, or event-stream responses, which suggests the company is designing for both human marketers and software agents [promptingcompany.com, retrieved 2026]. Public materials also say the enterprise product is built to meet security and compliance requirements, while a LinkedIn post cited in the research says the company is testing an "Agent Experience" model in which an AI agent completes a task inside the product instead of merely citing it [promptingcompany.com/enterprise] [Pedro Spota - AI Rankia | LinkedIn, retrieved 2026]. That is strategically interesting, but the evidence is still thin: the website supports the current AI-discovery tooling, while the task-completion layer reads as early and lightly documented in public.

Company-stated, unverified -- This section relies materially on company website claims, pricing pages, and one reported LinkedIn reference, with partial corroboration from TechCrunch for the core product category and reported page volume.

Where the Demand Sits

PUBLIC

This market matters now because product discovery is starting to move from blue links to generated answers, and that shifts value toward vendors that can influence how AI systems describe, compare, and recommend a product [TechCrunch, October 2025] [promptingcompany.com, retrieved 2026].

The available public record does not provide a named third-party TAM for AI-discovery optimization as a standalone software category, so the cleaner framing is to treat it as an emerging layer across search marketing, content operations, and brand intelligence rather than a fully measured market of its own. What is documented is the behavioral shift underneath it: enterprise marketers increasingly need to optimize for recognition and authority, not only traditional search placement, as AI assistants become recommendation engines inside user workflows [aiseotracker.com] [TechCrunch, October 2025]. The same source set also argues that natural-language queries are becoming more common alongside keyword search, and that conversational interfaces keep users inside a single session where follow-up questions refine intent before a click ever happens [aiseotracker.com].

That matters because the unit of competition appears to be changing. One cited market view describes share of voice across a consistent prompt set as the new equivalent of rank positions, while another frames brand visibility as having moved "upstream from the SERP to the sentence" [aiseotracker.com]. Those formulations are not audited market metrics, but they do capture the commercial logic behind this category: if AI systems summarize the vendor set on behalf of the buyer, then being absent from those summaries can affect consideration before a website visit occurs [aiseotracker.com] [Menlo Times, October 2025].

The nearest adjacent markets are easier to identify than the core category itself. The Prompting Company sits next to SEO platforms, content generation software, digital PR, web analytics, developer documentation tooling, and brand monitoring products, each of which already owns part of the workflow this startup wants to consolidate [promptingcompany.com, retrieved 2026] [Y Combinator]. In practice, that means budget may come less from a new line item and more from reallocation inside growth, product marketing, DevRel, or content teams, especially at software companies whose buyers increasingly start research in ChatGPT or similar interfaces [TechCrunch, October 2025] [Y Combinator].

Macro and platform conditions are supportive, but they also make the market unstable. One cited view is that AI search remains organic rather than pay-to-play, which would favor vendors that can improve source visibility and machine-readable authority over time [aiseotracker.com]. At the same time, platform behavior can change quickly, model providers can revise sourcing habits or ranking logic without notice, and emerging regulation around AI transparency or content provenance could reshape how generated answers cite and trust web content, all of which creates demand for monitoring tools but raises category risk for any point solution built on current model behavior [promptingcompany.com, retrieved 2026] [TechCrunch, October 2025].

Market lens	Public claim	Source
Core category	No cited third-party TAM surfaced for AI-discovery optimization as a standalone market	Startuply analysis based on captured sources
Demand signal	AI assistants are becoming recommendation engines rather than simple link lists	[aiseotracker.com]
Query behavior	Natural-language and conversational search behavior is increasing alongside traditional search	[aiseotracker.com]
Performance proxy	Share of voice across prompt sets is emerging as a new visibility metric	[aiseotracker.com]

The table shows a young market with clear demand signals but thin third-party sizing. That usually points to an adoption question, not a visibility question: the underlying behavior shift looks real, while budget ownership and durable product scope are still being formed.

Lightly corroborated -- Market framing is supported by public company materials and one cited third-party market commentary source, but no independent named TAM study for this exact category was surfaced in the captured research.

Competitive Landscape

MIXED The Prompting Company is positioning itself less as a classic SEO tool and more as an operating layer for how brands are discovered, cited, and eventually used inside AI assistants and agentic workflows [TechCrunch, October 2025] [promptingcompany.com, retrieved 2026].

Company	Positioning	Stage / Funding	Notable Differentiator	Source
The Prompting Company	GEO platform for improving how products are surfaced by AI assistants and agentic browsing systems	Seed, $7.0M disclosed across two 2025 seed financings	Pairs assistant monitoring with content generation and AI-readable site tooling; public site also exposes agent-accessible documentation endpoints	[TechCrunch, October 2025] [promptingcompany.com, retrieved 2026]
Promptwatch	Named competitor in the structured research		Present in the same prompt-optimization category, but public differentiation was not established in the provided source set	[Structured facts]
PromptRush	Named competitor in the structured research		Present in the same prompt-optimization category, but public differentiation was not established in the provided source set	[Structured facts]

The field is still sorting itself by workflow, not just by buyer. At one end sit incumbent SEO and content platforms, which already serve marketing teams but were built for search rankings and web analytics rather than model citation, prompt-set share of voice, or agent task completion [TechCrunch, October 2025]. com, retrieved 2026].

The Prompting Company appears to have a real edge in packaging several surfaces into one workflow. Public materials describe tracking how AI assistants talk about a product, identifying the questions users ask, generating AI-optimized content, auditing domains for AI-readiness, and benchmarking competitors across AI search engines [promptingcompany.com, retrieved 2026]. That is a useful wedge because it ties measurement to remediation, rather than stopping at visibility dashboards. The edge is credible today because the founding team has prior YC-backed company-building history and the company has raised from Y Combinator, Peak XV, Base10, and others, which should help with recruiting and customer access [TechCrunch, October 2025] [Forbes Business Council, retrieved 2026] [Forbes Technology Council, retrieved 2026]. It is also perishable. If GEO settles into a metrics layer that larger SEO suites can copy, the current advantage may rest more on speed and founder networks than on a technical moat.

The sharpest exposure is that the category's core claims are easy for rivals to imitate unless the company builds proprietary feedback loops from customer prompts, citations, conversion behavior, and agent interactions. There is also a reputational constraint at the company level. Aiseotracker reported that none of four AI assistants recognized The Prompting Company when tested, which does not invalidate the product thesis but does underline how early both the brand and the category remain [aiseotracker.com].

The most plausible 18-month scenario is a split market. The Prompting Company can win if GEO buying consolidates around an end-to-end platform that combines monitoring, content production, and agent-readable infrastructure, especially if AI assistants keep acting more like recommendation engines than link directories [promptingcompany.com, retrieved 2026] [TechCrunch, October 2025]. Promptwatch is a plausible winner if buyers instead standardize on lighter-weight analytics and testing layers that plug into existing SEO or content stacks. PromptRush is a plausible loser if the category compresses into a few better-capitalized brands before differentiated product proof becomes visible in public. That is conditional rather than predictive, because the public source set here does not establish relative traction, pricing power, or retention for any of the named competitors.

Single unverified source -- Core company positioning is supported by public company materials and TechCrunch, but competitor-specific facts in this section are limited to named mentions in the structured research without independent public corroboration of stage or differentiation.

Opportunity

PUBLIC

If The Prompting Company executes, the prize is not a better SEO tool but a control point in how brands, products, and documentation get surfaced inside AI assistants that increasingly act like recommendation and action layers rather than link directories [TechCrunch, October 2025] [promptingcompany.com, retrieved 2026].

The headline opportunity is straightforward: become the default operating layer for AI discovery, first for marketing and web content, then for agent-facing product and documentation surfaces. That outcome is reachable, not merely aspirational, because the company already sits where buyer urgency and platform change intersect. Public reporting ties the product to a concrete shift in search behavior, with AI assistants becoming recommendation engines and conversational interfaces changing how users express intent [TechCrunch, October 2025] [aiseotracker.com] [Y Combinator]. The company also appears to have early proof that customers will pay for this work, with a published recommended plan at $2,500 per month and named customers cited by TechCrunch including Rippling, Rho, Motion, Vapi, Fondo, Kernel, and Traceloop [promptingcompany.com] [TechCrunch, October 2025]. That does not prove durable retention, but it does show this is already being bought as an operating need rather than treated as an abstract future budget line.

The upside branches into a few distinct paths, each of which depends on a different catalyst and each supported, at least in part, by public evidence.

Scenario	What happens	Catalyst	Why it's plausible
AI discovery system of record	The company becomes the software layer brands use to monitor how AI assistants describe them, identify missing coverage, and generate agent-readable content at scale	AI assistants continue to shift product discovery from keyword search toward conversational recommendation flows	The product is already framed around tracking how AI assistants talk about a product and turning that into content agents can find, choose, and use [promptingcompany.com, retrieved 2026]. Market commentary cited in the research points to visibility moving from the SERP to the sentence and to share of voice across prompt sets becoming a new performance metric [aiseotracker.com].
Enterprise content engine for regulated and technical sectors	The company moves upmarket into fintech, enterprise software, and developer tools, where product accuracy and authority matter more than generic content volume	A category-tipping set of reference customers validates that AI visibility can be managed with the same rigor as SEO and paid acquisition	TechCrunch reported customers in fintech and software, while the company states the platform is built to meet security and compliance requirements [TechCrunch, October 2025] [promptingcompany.com/enterprise]. The named customer set suggests buyers with documentation-heavy or trust-sensitive products are already testing the motion [TechCrunch, October 2025].
Agent experience infrastructure	The company extends from getting cited by assistants to helping products get used directly inside agentic workflows	Broader adoption of AI agents that complete tasks, not just answer questions, raises the value of structured product surfaces and task-completion pathways	The company is reportedly testing "Agent Experience," where an AI agent completes a task in the product instead of merely citing it [LinkedIn, retrieved 2026]. The homepage language already centers being "discovered and used by AI agents," which implies a roadmap beyond content generation alone [promptingcompany.com, retrieved 2026].

What compounding looks like here is a data-and-distribution flywheel. Each customer engagement generates more prompt coverage, more observed assistant behavior, and more examples of which content formats and domain artifacts get surfaced by AI systems. The product then feeds that back into audits, competitive visibility analysis, question discovery, and content generation, which should improve performance for the next cohort if the underlying models are learning from a larger corpus of prompts and outcomes [promptingcompany.com/free-tools] [promptingcompany.com, retrieved 2026]. The company-reported scale claim, roughly 500,000 pages created for customers generating tens of millions of visits per month, is not independently audited, but if directionally correct it suggests the raw feedback loop may already be forming [TechCrunch, October 2025].

There is a second compounding vector in distribution. The founders are repeat YC entrepreneurs linked publicly to Typedream and Cotter, and the company is backed by Y Combinator, Peak XV, Base10, Firedrop, and Logan Kilpatrick [TechCrunch, October 2025] [Forbes Business Council, retrieved 2026] [Crunchbase]. In practice, that matters less as a branding signal than as a customer-introduction and hiring advantage in a category that still needs education. If GEO, or AI-discovery optimization, becomes a standard budget line, the vendor that defines the playbook early can accumulate benchmarks, templates, and internal customer champions before larger incumbents productize the category.

The size of the win is best framed as a software-infrastructure outcome rather than a content-agency outcome. Public sources provided here do not include a named market-size report or a directly comparable public peer with cleanly cited market capitalization, so any hard valuation figure would be speculative. Even so, if the "AI discovery system of record" scenario plays out and the company becomes embedded across enterprise marketing, documentation, and agent-experience workflows, the result could support a venture-scale software outcome in the high hundreds of millions to low billions of dollars in enterprise value (scenario, not a forecast). The evidence for taking that upside seriously is not a TAM slide. It is that search behavior is changing, buyers already appear to be paying, and the company is trying to own the workflow before the category language fully hardens [TechCrunch, October 2025] [promptingcompany.com/pricing] [Y Combinator].

Company-stated, unverified -- This section relies materially on company website claims and reported operating metrics, with partial corroboration from TechCrunch, Y Combinator, Crunchbase, and founder profiles.

Sources

Public sources

1. [TechCrunch, October 2025] The Prompting Company snags $6.5M to help products get mentioned in ChatGPT and other AI apps | https://techcrunch.com/2025/10/30/the-prompting-company-snags-6-5m-to-help-products-get-mentioned-in-chatgpt-and-other-ai-apps/

2. [The SaaS News, November 2025] The Prompting Company Secures $6.5M Seed Round | https://www.thesaasnews.com/news/the-prompting-company-secures-6-5m-seed-round/

3. [promptingcompany.com] The Prompting Company | Discovered and used by AI agents | https://promptingcompany.com/

4. [Y Combinator] The Prompting Company: We help products get discovered & used by AI agents. | https://www.ycombinator.com/companies/the-prompting-company

5. [Tech Economy, October 2025] The Prompting Company Raises $6.5 Million to Help Brands Get Discovered by AI | https://techeconomy.ng/the-prompting-company-raises-6-5m-ai-discovery

6. [LinkedIn, retrieved 2026] Pedro Spota - AI Rankia | LinkedIn | https://www.linkedin.com/

7. [Forbes Business Council, retrieved 2026] Kevin Chandra | Co-Founder and CEO - Typedream | Forbes Business Council | https://councils.forbes.com/profile/Kevin-Chandra-Co-Founder-CEO-Typedream/9d0c1530-3f7e-41af-9d58-94f19ead904d

8. [Crunchbase] The Prompting Company - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/the-prompting-company

9. [promptingcompany.com/pricing] Pricing | The Prompting Company | https://promptingcompany.com/pricing

10. [promptingcompany.com/free-tools] Free Tools | The Prompting Company | https://promptingcompany.com/free-tools

11. [promptingcompany.com/enterprise] Enterprise | The Prompting Company | https://promptingcompany.com/enterprise

12. [aiseotracker.com] The Prompting Company: What It Is, Pricing and Review | https://aiseotracker.com/blog/prompting-company

13. [Forbes Technology Council, retrieved 2026] Albert Purnama | Co-Founder - Typedream | Forbes Technology Council | https://councils.forbes.com/profile/Albert-Purnama-Co-Founder-Typedream/

14. [Menlo Times, October 2025] How The Prompting Company is Helping Brands Get Discovered by AI | https://www.menlotimes.com/post/how-the-prompting-company-is-helping-brands-get-discovered-by-ai

15. [Peak XV Partners] The Prompting Company | Peak XV Partners Portfolio | https://www.peakxv.com/companies/the-prompting-company