Capability: Enrich my contacts with company info

“Enrich my contacts with company homepage summary and recent news” is a capability that automatically augments each contact record in a CRM or marketing database with two complementary pieces of information:

1. A concise, machine‑generated summary of the contact’s employer’s homepage – capturing the firm’s core value proposition, product lines, and market positioning.
2. A curated feed of the most recent news articles about that employer – sourced from publicly available outlets and ranked by relevance and recency.

The output is stored as structured fields (e.g., company_summary, latest_news_1, latest_news_2 …) that can be used for segmentation, personalization, or analytics without manual research.

When to use it

Scenario	Why enrichment helps
Outbound sales prospecting	Representatives spend less time searching for a firm’s description and can tailor pitches to current events (e.g., a recent product launch).
Account‑based marketing (ABM)	Campaigns benefit from up‑to‑date firmographics and news triggers, enabling timely content such as a note about a recent funding round.
Customer success & renewal	Alerts about a client’s merger, acquisition, or regulatory change can surface risk or expansion opportunities earlier than manual monitoring.
Investor relations & analyst outreach	Analysts receive a snapshot of a target company’s public narrative plus recent media coverage, which can streamline briefing preparation.
Data governance & compliance	Automated summarization reduces reliance on manual copy‑pasting, which can lower the chance of outdated or inaccurate entries.

If your workflow involves any of the above—or any situation where timely, accurate company context drives decision‑making—this enrichment capability can save manual research time.

Where does it run

Direct answer: The enrichment pipeline runs as a hosted service inside the nqzai platform. You submit contact lists via chat or the API and receive enriched records back; there is no infrastructure to install or maintain, and usage is billed under nqzai’s standard pay‑as‑you‑go, per‑token pricing rather than a fixed subscription tier.

How it works

Direct answer: At a high level, the capability follows these steps for each contact:

1. Input normalization

• Contacts are ingested as CSV, JSON, or directly from a connected data source.
• Each record is checked for the presence of a company domain or legal entity name (e.g., acme.com). Records lacking a domain are flagged for manual review rather than guessed at.

2. Homepage retrieval & parsing

• The system fetches the target company’s publicly reachable homepage, respecting standard crawling etiquette (e.g., robots.txt).
• The page is stripped of navigation and boilerplate so only the substantive text is passed on for summarization.

3. Summary generation

• The cleaned text is passed to an AI model that produces a short summary emphasizing the firm’s primary offering, target market, and any differentiators visible in the page copy.

4. News discovery & ranking

• A news‑monitoring step searches publicly available outlets (press releases, major newspapers, industry blogs) for recent articles mentioning the company.
• Candidate articles are ranked by a combination of entity‑match strength, source credibility, and recency, and the most relevant items are kept.

5. Enrichment output

• The original contact record is returned with new fields, such as:
• company_summary (string).
• latest_news_1_headline, latest_news_1_date, latest_news_1_excerpt.
• Additional latest_news_* fields for further articles, using the same structure.

6. Quality assurance & feedback loop

• Enrichment output goes through basic validation (length bounds, duplicate‑URL checks for news items).
• Users can flag inaccurate entries; flagged records are routed for review and correction.

FAQ

Direct answer: Q: Does the capability access private or password‑protected company pages? A: No. The crawler only fetches publicly reachable URLs that resolve without authentication. If a company’s primary site is behind a login, the system flags the domain and returns a placeholder indicating that enrichment could not be completed.

Q: How is personal data protected during enrichment? A: The pipeline treats contact records as transient data for this operation. Only the company domain (a non‑personal identifier) is used to look up public information; contact‑level PII is not required to perform the enrichment step itself.

Q: Can I customize the news sources or the look‑back window? A: The relevance and recency window used for news selection can be adjusted for your workspace; ask in chat if you want a different look‑back period than the default.

Q: What happens if a company’s homepage changes frequently? A: The summarization step fetches the live page at enrichment time, so the summary reflects the current public‑facing content at the time it runs. Re‑running the enrichment later will pick up any changes.

Q: Is there a limit to the number of contacts I can enrich per day? A: There’s no fixed subscription‑tier cap. Usage is billed under nqzai’s pay‑as‑you‑go, per‑token pricing, so the practical limit is governed by your available token balance rather than a plan quota.

Q: How does the system handle non‑English homepages? A: The summarization step can process non‑English homepage content, and news retrieval will look for coverage in the detected language, falling back to English sources when local coverage is sparse.

Q: Are there any risks of bias in the news selection? A: Any automated news curation may reflect the biases inherent in the indexed sources. We recommend complementing automated news with manual review for high‑stakes decisions (e.g., regulatory or compliance‑sensitive use cases).

Q: Can I export the enriched data back to my CRM? A: The enrichment output is returned as structured data (JSON) that you can map into your own CRM’s custom fields. nqzai does not currently offer a direct write‑sync connector into third‑party CRMs such as Salesforce, HubSpot, or Microsoft Dynamics — export and import is a manual or webhook‑driven step today.

Takeaway

Enriching contacts with a machine‑generated company homepage summary and a concise, recent‑news feed transforms a static address book into a more useful research aid. By automating the collection and distillation of publicly available firmographic and media information, teams can save time on manual research, improve message relevance, and surface timely opportunities or risks. The capability runs as a hosted nqzai service, uses only publicly available homepage and news content, and is billed on nqzai’s standard pay‑as‑you‑go pricing.

Evidence, limits, and reproducible use

Direct answer: Reproducible workflow. Provide the intended audience and campaign context, inspect the proposed records or draft, then explicitly approve any action that changes a campaign or sends email. Keep suppression, consent, and sender-domain decisions outside a generated draft and review them before use.

Limit. This result does not establish identity, consent, legal basis, deliverability, or a right to contact a person. A draft or campaign configuration is a review artifact, not an instruction to send.

For the currently exposed nqzai workflow and connection limits, check the public capabilities inventory before relying on a result.

Primary references

• FTC CAN-SPAM compliance guide
• Google sender guidelines

Where nqzai fits

The workflow above is one nqzai runs directly: AI lead sourcing.

How we keep this honest

Every response nqzai's agent generates is automatically graded by an independent AI judge for accuracy and whether it invents information it can't back up. As of September 2026: sampled responses averaged a 82% quality score over the trailing 7 days (n=39), and our nightly regression suite — which re-runs the agent against a fixed set of real scenarios — passed at a ~93% rate over the last 14 nights. This is internal automated QA, not an independently audited or third-party benchmark; we publish it as a transparency signal, not a claim of perfection.