Synterminal is a physical markets intelligence operation. Invoice forensics, procurement intelligence, document search, reputation forensics, competitor intelligence, custom data investigation, web scraping, NLP and semantic analysis, structured data and SEO, resume and personal website development. The common thread across all of it: if the answer exists somewhere in information — structured or unstructured, numerical or textual, public or proprietary — Synterminal finds it. Every engagement is scoped individually. There is no software to install. There is no IT department required. You describe the problem. We scope the work and get to it.

Trade contractors. Law firms. Manufacturers. Distributors. Real estate operators. Medical offices. Insurance companies. Auto shops. Restaurants. Retailers. Franchisors. General contractors. Independent researchers. CEOs. Sales reps. Job seekers. Executives making career moves. Business owners who have been burned by SEO companies. Anyone who has a data problem, a research question, a reputation crisis, or a competitive intelligence need and cannot find anyone with the infrastructure to take it seriously. There is no minimum size. There is no required industry. If the problem involves information — bring it.

A service. Synterminal is not a SaaS subscription. You do not log into a dashboard. You do not onboard your team. You do not pay a monthly seat fee and then spend three months figuring out how to use the tool. You describe the problem. Synterminal scopes the engagement, does the work, and delivers the answer. The infrastructure — the search systems, the scraping pipelines, the NLP analysis, the provenance architecture — is Synterminal's. You get the output. That is the entire model.

Words: contracts, transcripts, reviews, emails, case files, research papers, court filings, legislation, social media posts, forum threads, news archives, policy documents, inspection reports, correspondence — any written language in any form, digital or scanned. Numbers: invoices, pricing histories, financial statements, procurement records, real estate transactions, insurance claims, commodity prices, payroll, spend reports, statistical datasets. Images: scanned documents, photographed records, blueprints, engineering drawings, receipts photographed on a phone — OCR extracts the text and it joins the corpus. Platforms: Yelp, Google Business, TripAdvisor, Amazon, Glassdoor, LinkedIn, Reddit, any public-facing platform. The web: any publicly accessible property — pricing pages, government portals, court records, bid databases, company filings, news archives. Physical records: documents that have never been digitized — send them, we textify them. If it exists in any form and the answer is in it — it is in scope.

That is the most common starting point. Most engagements begin with a hunch, a frustration, or a question that nobody has been able to answer. You do not need to have the problem fully articulated. Describe what you know, what feels wrong, what you have already tried, and what a good outcome would look like. Synterminal reads every submission and responds within one business day. The scoping conversation is free. The engagement starts when you are ready.

Depends entirely on the problem. Invoice forensics on a single job with 300 invoices — three business days. Document search setup on a 50-document corpus — one week. A custom research engagement across public procurement records and competitor entity mapping — two to four weeks depending on scope. Ongoing retainer work — monthly deliverables on a schedule you define. Every engagement gets a scoped timeline before work begins. You know exactly what you are getting and when before anything starts.

Yes. Most clients are small and mid-sized operators — not enterprise accounts. The entire model is built around the gap between what enterprise tools offer and what independent operators and small teams can actually use and afford. A solo contractor with 200 invoices and a hunch that their supplier has been overcharging them is exactly the kind of engagement Synterminal was built for. Many small businesses have information they collect one way or another — they just lack the tools to sift through it and use it strategically. They usually don't have employees dedicated to these kinds of initiatives. — BizTech Magazine · NFIB Research Center ↗

Synterminal does not provide legal representation, medical diagnosis, financial advice as a licensed fiduciary, or real-time trading execution. Everything else — if it involves information in any form — is in scope for a custom engagement. If Synterminal cannot scope your specific problem, you will be told that plainly in the first response, with no charge and a referral where possible.

Yes. Standard mutual NDA available on request before any engagement begins. Synterminal's provenance architecture means every document and dataset handled in an engagement is tracked, timestamped, and handled with chain-of-custody discipline by default. Confidentiality is not an add-on — it is the operating posture.

Every record Synterminal ingests, processes, or produces is SHA-256 hashed and RFC 3161 timestamped. Every finding is traceable to its source document, its source page, and the exact version of the corpus it was derived from. This means the output is not just an answer — it is a documented, verifiable, court-ready record. If a finding ever needs to be defended in a dispute, a regulatory proceeding, or a litigation context, the chain of custody is intact from the moment the document was received.

Yes. Client documents are handled with the same chain-of-custody discipline applied to all Synterminal work. Documents are not shared, sold, or used for any purpose outside the engagement. Sensitive engagements — legal discovery, medical records, financial data — are scoped with explicit handling agreements before any documents are transferred. Contact research@synterminal.com to discuss handling requirements before submission.

Use the intake form on this page or email research@synterminal.com directly. Describe the problem. Include what you know, what you have tried, and what a good outcome looks like. You will receive a direct human response within one business day — not an automated acknowledgment, not a sales sequence. If your problem is in scope, Synterminal proposes a scoped engagement. If it is not, you will be told plainly and pointed in the right direction.

Synterminal builds the forensic record that proves the attack happened. Burstiness analysis — the temporal clustering of reviews posted in an abnormal time window. Behavioral fingerprinting — reviewer account age, activity history, posting patterns, and cross-platform presence. Semantic analysis — text similarity, template detection, linguistic fingerprinting across the review corpus. The output is a documented report with supporting data that you can submit to the platform for dispute, forward to a lawyer, or file with the FTC. The attack has a signature. Synterminal reads it. A one-star decrease in Yelp rating correlates with a 5–9% drop in revenue. For a restaurant doing $500,000 a year, that's $25,000 to $45,000 in lost revenue from reviews written by people who never set foot in the door. — CoreVouch · The Real Cost of Fake Reviews 2026 ↗

Synterminal produces documented evidence of patterns consistent with coordinated inauthentic behavior — the forensic standard used by platforms and courts. Bot-generated reviews have documented signatures: high burstiness, low entropy in text, reviewer accounts with minimal history or cross-platform presence, temporal clustering around competitor events. Research at the intersection of machine learning and fraud detection has shown that these signals are detectable with statistical reliability. Synterminal does not claim to prove a review was fake with 100% certainty — but it builds the evidentiary record that demonstrates the pattern and shifts the burden of proof to the platform or the party behind the attack. Traditional fake reviews were generated and posted by automated bots. Detection methods exploit features commonly seen in bots such as high burstiness or low entropy in text. — Understanding Underground Incentivized Review Services · arXiv ↗

It is a documented pattern. Competitor sabotage through fake negative reviews is real, documented, and increasingly common. The FTC found a 1,900% ROI on fake reviews in the short term — which is why bad actors keep doing it despite enforcement risk. Synterminal maps the temporal relationship between your competitor's opening and your review attack, documents the behavioral signatures of the reviews, and produces the record. Whether the next step is a platform dispute, a cease-and-desist, or a litigation filing — the documentation is what makes it actionable. Fake negative reviews reduce business revenue by 25%. Competitor sabotage is real, documented, and increasingly common. The fake review economy runs in both directions. — Nadernejad Media · Fake Review Statistics 2026 ↗

Yes. Any public-facing review platform where the reviews are accessible. Google Business, Yelp, TripAdvisor, Amazon, Glassdoor, Trustpilot, Houzz, Angi, BBB, App Store, Google Play. The analysis covers the full review corpus — not just the suspected fake reviews — so the anomalous pattern stands out against the baseline of legitimate reviews.

A structured report with: the full review corpus used as the analysis dataset; temporal analysis showing review volume by date compared to your historical baseline; burstiness score and statistical anomaly flags; reviewer profile analysis across the flagged reviews; semantic similarity analysis across review text; comparison to known bot review patterns from academic literature; a summary finding with confidence level; and a formatted exhibit package structured for platform submission or legal use. Every finding is cited to its source data. Every record is timestamped and hashable.

Yes. Monthly retainer. Synterminal monitors your review profile across platforms, flags anomalous activity before it compounds, and produces a monthly report on rating trajectory, review velocity, sentiment distribution, and any detected pattern changes. The goal is catching an attack early — when the damage is still recoverable — rather than after it has already moved the rating and the ranking.

Yes. Yelp's filter system flags reviews based on behavioral signals — account age, review history, platform activity. Legitimate reviews from real customers get filtered when those customers don't have established Yelp profiles. Synterminal analyzes the characteristics of your filtered reviews versus your published reviews and produces documentation you can use to appeal the filtering or understand why it is happening. The analysis also identifies what your customers can do to make their reviews more likely to be published.

Yes. The best defense against a fake review attack is a large corpus of authentic, recent, varied reviews from real customers. Synterminal designs a review generation system for your business — the timing, the ask, the platform prioritization, and the follow-up cadence. A high volume of authentic reviews makes a coordinated attack statistically obvious and minimizes the rating impact per fake review dropped.

Yes. Reputation attacks happen on every platform that aggregates public feedback — Google, Glassdoor, Indeed, LinkedIn, Trustpilot, BBB, industry-specific directories, Reddit, news comment sections. The forensic methodology applies to any corpus of public text associated with your entity. If someone is trying to damage your reputation through coordinated inauthentic content on any public platform, Synterminal can analyze it and document it.

Scoped per engagement based on the size of the review corpus, the number of platforms, and the depth of analysis required. A single-platform forensic audit on a corpus of several hundred reviews is a one-time engagement. Ongoing monitoring is a monthly retainer. Contact research@synterminal.com with a description of the situation and the platform and we will scope it within one business day.

Any investigation that requires actual research — not a Google search, not a report someone already wrote, not a dashboard. Real research: finding information that exists somewhere and has not been connected, structuring it, analyzing it, and delivering it in a form you can act on. Synterminal takes custom research engagements across any domain where the answer lives in data that exists but has not been assembled. Independent researchers, CEOs with a hunch, sales teams that need competitive intelligence, insurance companies with a pattern across claims, journalists with a lead, business owners who suspect something is wrong and cannot prove it. Scoped per engagement. Delivered with provenance.

Yes. Invoice forensics is the primary Synterminal service. Send your invoices and your approved quotes. Every line item gets compared. Every discrepancy gets documented with the invoice number, the line item, the quoted price, the charged price, the delta, and the date. The output is a claims package — not a report — that you can put in front of your supplier or your lawyer. The current documented engagement with a Southern California electrical contractor found $29,439 in overcharges across 328 invoices with a 68% overcharge rate and 74.9% not-in-quote rate. If the overcharge is there, Synterminal finds it.

Pricing pages and price change history. Public bid awards and procurement patterns. Review sentiment and rating trajectory. Product and service changes over time. Entity mapping — subsidiaries, shell companies, related parties. Corporate filing history. Public records across federal and state databases. LinkedIn headcount and hiring patterns. News and press coverage. The output is a structured competitive profile with provenance on every data point. Delivered clean. No tool to maintain. No scraping infrastructure to build.

Yes. Synterminal works with independent researchers across academic, journalistic, and independent investigation contexts. Data collection from public sources. Corpus normalization and structuring. Semantic analysis across large text datasets. Entity resolution across fragmented records. Citation-ready output with full provenance. Engagements are scoped to the project — one-time for a defined deliverable, ongoing for a multi-phase investigation. research@synterminal.com is the right starting point.

Yes. Market intelligence engagements pull from public procurement awards, company filings, news archives, review platforms, pricing data, job postings, and any other publicly available signal relevant to the market. The output is a structured intelligence picture — not a purchased market report — built specifically for the question you are trying to answer, with provenance on every data point.

Yes. Monthly retainer. Synterminal builds the monitoring pipeline — pricing pages, bid awards, review sentiment, news, filing activity, headcount signals — and delivers a structured monthly intelligence report. Changes get flagged. Patterns get surfaced. You stay informed without building or maintaining any data infrastructure yourself.

Yes. Synterminal takes on financial anomaly detection and procurement fraud investigations as custom scoped engagements. Invoice comparison against quotes and market pricing. Entity resolution to identify related parties. Public records cross-reference. Numerical pattern analysis across transaction datasets. The output is a documented findings report with provenance, structured for use by legal counsel, a regulator, or internal leadership. Contact research@synterminal.com to discuss scope and handling requirements.

Yes. Federal and state procurement awards via SAM.gov and state equivalents. Court filings via PACER and state court portals. Corporate registry records via state Secretary of State databases. Property records via county assessor portals. Licensing and permit databases. Environmental filings via EPA databases. All of it machine-readable, normalized, and connected to related entity records in the same corpus. Synterminal treats public records as nodes in a knowledge graph — every award connects to the entity, every entity connects to its related parties, every related party connects to its filing history.

Yes. That is the most common starting point. Describe the hunch — what feels wrong, what triggered it, what you have already looked at, and what you would do with the answer if you had it. Synterminal reads every submission and responds within one business day. The scoping conversation costs nothing. The engagement starts when you are ready and only if the scope makes sense for both sides.

Yes. Send the documents — physical mail, photographed, or scanned at any quality. Synterminal runs OCR, evaluates extraction quality, flags pages that need manual review, and delivers the full corpus as searchable, normalized text with page-level provenance. Physical records from five years ago that have never touched a computer become fully searchable within the engagement timeline.

Any publicly accessible website where collection is legal and consistent with the site's terms of service. Pricing pages, government procurement portals, court records, real estate listings, review platforms, company filings, news archives, job postings, product catalogs, bid databases. Synterminal builds and maintains the collection pipeline — you get the structured, clean dataset on a schedule. The web scraping market surpassed $9 billion in 2026. The problem is not that the data exists — it is that most operators cannot build or maintain the collection infrastructure. By 2026, web scraping has grown from a niche technical practice into a multi-billion-dollar global industry. Analysts estimate the market will surpass $9 billion USD this year, with a CAGR of around 12–15% through 2030. — Kanhasoft · Web Scraping Statistics 2026 ↗

Data normalization is the process of taking information that exists in inconsistent, fragmented, or machine-unreadable forms and making it consistent, queryable, and connected. Your supplier sends invoices in five different formats. Your CRM exports data in three different schemas. Your historical records are in a mix of Excel files, PDFs, and handwritten logs. None of them talk to each other. Normalization means they become one thing — a single queryable corpus where a search across all of it returns a single ranked list. Provenance intact throughout. Every source traceable. Nothing lost in translation.

Entity resolution is the process of collapsing multiple names, aliases, and references to the same real-world entity into a single canonical record. Your supplier operates under three legal names and two DBA names. Your database has four different spellings of the same company. A government database lists the same contractor under a parent company, a subsidiary, and a joint venture. Entity resolution maps all of those back to one record — so when you search, you see the full picture of what that entity has actually done across all the data you have. Synterminal uses entity resolution as standard practice across every engagement that involves multiple data sources.

Keyword search finds exact terms — type "prevailing wage" and it finds every document that contains those words. Semantic search finds meaning — type "does this job require workers to be paid union rates" and it finds the relevant clause even if the words "prevailing wage" never appear in that form. Synterminal's document search system runs both simultaneously. Keyword search is faster and more precise for known terms. Semantic search is better for questions, for concepts, and for finding things you do not know the exact wording of. Both return the result with the page number and a direct link to the source document.

Yes. Sentiment classification at scale. Topic modeling to identify the most common themes. Temporal trend analysis to see how sentiment has changed over time. Comparison across locations, products, or service lines. The output is a structured analysis — not a word cloud — that tells you what customers are actually saying, what the pattern is, and where the signal is. Every finding traceable to the source reviews.

Yes. That is the core of what NLP and semantic analysis do at scale. A human reader can read 50 contracts and identify patterns. A human reader cannot read 5,000 customer complaints and tell you that the third most common complaint only appears in reviews from users who purchased a specific product variant in a specific quarter. Synterminal's text analysis finds the pattern that exists across a corpus too large for manual review — and surfaces it with the source records that prove it.

PDF — text-based and scanned. DOCX, DOC. XLSX, XLS, CSV. TXT, MD, HTML. Images containing text — JPEG, PNG, TIFF — processed through OCR. Email exports — MSG, EML, MBOX. JSON, XML for structured data. Physical documents sent by mail or photographed on a phone. If the information is in it and it exists in any form — Synterminal can ingest it.

Yes. If the underlying data exists in public or provided sources but has never been assembled into a clean structured dataset — that is exactly the kind of engagement Synterminal takes on. Public procurement awards across five years, normalized by commodity type and entity. Pricing history across a set of competitor websites, structured as a time series. Court filing metadata across a jurisdiction, connected to entity records. The dataset gets built, documented, and delivered in whatever format you need it.

The Context Pod is a feature of Synterminal's document search system. You search across your document corpus, find the passages that matter — a clause from a contract, a line from a spec, a paragraph from a deposition transcript — and click Add to Pod. The pod collects up to 15 passages from across multiple documents. Click Copy All and paste the assembled context into Claude, ChatGPT, or any AI assistant. Ask it to summarize the risk, draft the response, or identify the pattern. You went from a question to an AI-ready answer package in under three minutes without opening a single folder.

Yes. Pricing monitoring. Review sentiment monitoring. Competitor change detection. Bid award tracking. Regulatory filing alerts. Public records updates. Synterminal builds the pipeline, runs it on a schedule, and delivers the output to you. You receive the report. You do not operate the system. Monthly retainer pricing. Scope defined upfront. Nothing to maintain on your end.

Law firms engage Synterminal for three primary use cases. First, discovery document search — large production sets made fully searchable with keyword and semantic search, page-level results, and source PDF access. Second, forensic pricing documentation — invoice and procurement discrepancy analysis structured for litigation, with provenance-anchored findings ready for expert testimony. Third, entity and public records investigation — counterparty mapping, related-party identification, procurement pattern analysis, and public record cross-referencing structured for discovery. Every output is documented with chain of custody and traceable to its source. The law firm Allen & Overy uses an NLP model to classify documents, extract essential provisions, and identify non-standard clauses, reducing review time by 70% and improving accuracy by 30%. — Softweb Solutions · NLP Use Cases 2026 ↗

Yes. Synterminal's provenance architecture — SHA-256 hashing and RFC 3161 timestamping on every record, append-only write-ahead log, Merkle tree corpus integrity — produces a chain of custody that meets the standard for documentary evidence. Every finding is traceable to its source document, its source page, and the exact state of the corpus at the time of analysis. Output is delivered as a structured claims package or expert-ready findings document, depending on the engagement context. Law firm clients should discuss specific evidentiary requirements in the scoping conversation.

Yes. Document ingestion scales to the corpus. 40,000 documents, 400,000 documents — the pipeline processes them, indexes them, and makes every character of every document searchable. Keyword search and semantic search both available. Page-level results. Source PDF access. The Context Pod collects relevant passages for AI-assisted analysis. A search that would take a team of associates three days to run manually returns results in under a second.

Yes. NLP-based clause extraction and comparison across any contract corpus. Standard provision identification. Non-standard term flagging. Cross-document comparison to identify which contracts deviate from a baseline template. The output is a structured clause analysis — not a summary — with every finding tied to the specific document and page it came from.

Yes. Invoice forensics produces exactly that documentation. Every line item compared to the approved quote. Every discrepancy calculated with the invoice reference, the line item description, the quoted price, the charged price, the delta, and the date. The output is structured as a claims package or a litigation exhibit depending on what your counsel needs. Every finding is provenance-anchored and traceable to the source document.

Yes. Entity mapping — the full corporate structure, subsidiaries, related parties, and beneficial ownership where publicly available. Public records search across federal and state databases. Procurement history — what contracts they have won, with whom, and at what values. Litigation history via public court filings. News and press coverage across news archives. Review sentiment across platforms. The output is a structured due diligence profile with provenance on every data point. Delivered before your deadline.

Yes. Document analysis across claim files. Pattern detection across large claim corpora — identifying anomalous claims, duplicate submissions, or behavioral patterns inconsistent with legitimate claims. Public records cross-reference. Entity resolution across claimant records. The output is a structured analytical report with findings and supporting data, structured for adjuster review or litigation support. Contact research@synterminal.com to discuss specific handling requirements for sensitive claim data.

Yes. Email corpora, text message exports, deposition transcripts, social media archives, and any other communication dataset can be analyzed for behavioral patterns, semantic consistency, temporal anomalies, and entity mentions. The analysis applies NLP methods — topic modeling, named entity recognition, sentiment classification, temporal pattern detection — and produces a structured findings report with the source records cited. Engagements involving sensitive communications require an explicit handling agreement before any documents are transferred.

By out-structuring competitors at the data layer. Most websites compete on content volume, backlinks, and keyword density. Synterminal competes on machine-readability — building websites that Google's crawler and AI systems understand as authoritative entities, not just web pages. This means correctly implemented schema markup across every applicable type, linked data structured to Synterminal's own specification, FAQPage and other rich result schemas that capture featured snippet and AI overview positions, and entity declarations that register the site as a knowledge graph node. In competitive environments where nobody else has done this work — and most haven't — the structural advantage is significant and fast. Two weeks reflects specific engagements in specific competitive environments. Not every category moves that fast. But the structural work is always the right foundation.

Structured data is markup added to a webpage that tells search engines and AI systems exactly what the content means — not just what it says. A page about a business becomes an Organization entity. A page with questions and answers becomes a FAQPage that can appear as a rich result. A service page becomes a Service schema that feeds AI overview answers. In 2026, Google's AI Overviews, Bing Copilot, and other AI-driven search surfaces increasingly pull from structured data to generate answers. A website with correctly implemented structured data gets cited in AI answers. A website without it does not. Most websites in most industries have not implemented structured data correctly — or at all. That is the structural gap Synterminal exploits.

Most SEO companies sell reports and deliverables — keyword rankings, traffic metrics, content volume, link acquisition. They measure activity, not results, and the activity they sell rarely addresses the structural issues that actually determine ranking. Synterminal builds at the data layer — the schema, the linked data architecture, the machine-readable content structure — and maps competitors continuously to identify the specific gaps that produce ranking opportunity. The consultation is free. Bring the site. Synterminal will show you exactly what was done in the past, what your competitors are doing structurally, and what the actual gap is. If the work makes sense, scope it. If it doesn't, you will be told plainly.

Monthly retainer. Synterminal monitors your competitors' websites, schema implementations, content changes, ranking movements, new pages, and structural improvements. Every month you receive a report on what changed, what gaps they exposed, and what Synterminal built against those gaps on your site during the month. The goal is staying structurally ahead — not reacting after a competitor takes a position, but building against the gap before they close it.

A website built so that AI systems — Google AI Overviews, Bing Copilot, Perplexity, ChatGPT search — can read, understand, and cite it accurately. This means semantic HTML structure, correctly implemented schema markup, entity declarations, citation-friendly content formatting, and internal linking architecture that makes the relationship between pages clear to a machine. An AI-ready website gets pulled into AI-generated answers. A standard website does not. In 2026 that distinction is increasingly the difference between visibility and invisibility in search.

Yes. Full design and build. IBM Plex Mono or whatever system fits the brand. Deployed to Cloudflare Pages or your preferred host. Structured data implemented from day one. Entity declarations filed. Schema markup tested against Google's Rich Results tools. Competitor mapping started from launch. Every site Synterminal builds is AI-ready from the first day it is live.

Yes. Synterminal audits the existing schema implementation, identifies errors and missing types, fixes what is broken, and adds what is missing. The audit includes testing against Google's Rich Results tools and Bing Webmaster Tools. Output is a documented before-and-after with every schema type tested and confirmed. Typically a one-time engagement with ongoing monitoring available as a retainer add-on.

A provenance-anchored linked data architecture developed as part of the DELTA-WAVE knowledge graph infrastructure. It extends standard schema.org vocabulary with cross-referenced @id nodes, bi-temporal timestamps, and entity declaration patterns that register a web property as a knowledge graph entity — not just a page. Websites built to this specification are indexed by search engines and AI systems as authoritative entities with verifiable identity. The same architecture that anchors DELTA-WAVE's intelligence substrate gets applied to client websites as a structural foundation.

Anyone. Recent graduates. Mid-career professionals making a move. Executives building a public presence. Independent consultants who need clients to find them. Researchers establishing an academic web presence. Job seekers who need to get past ATS screening systems. Freelancers who need a professional landing page. People who have been in the same job for ten years and whose resume looks like it. People who have done impressive work and have no idea how to present it. Anyone who needs to be found and taken seriously — regardless of industry or career stage.

An interview. Synterminal does not ask you to fill out a template. There is a structured conversation — conducted over email or a call — that extracts what actually matters: what you have done, what the measurable results were, what makes your work distinctive, and what role or context you are targeting. From that, Synterminal writes a document that is honest, specific, and designed to perform — both in ATS screening systems that parse keywords and in front of a human who needs to make a decision in thirty seconds. Delivered as a Word document and a PDF. Revision included.

Three things. First, it is built correctly at the data layer — Person schema, credential markup, work history structured for knowledge graph indexing — so search engines and AI systems understand who you are and what you do, not just that a page exists. Second, it is built with the design discipline of the Synterminal system — fast, clean, typographically serious, and visually distinctive without relying on stock templates that look like everyone else's. Third, it compounds over time — the structured entity declaration grows in authority as Google indexes it, and Synterminal can add pages, update schema, and monitor visibility as your career develops. A template page is a digital business card. A Synterminal-built presence is an entity declaration.

Yes. Name search visibility is a function of entity authority — how clearly Google understands who you are and what you are authoritative about. A correctly structured personal website with Person schema, consistent NAP data across platforms, LinkedIn optimization, and cross-referenced entity declarations is the foundation of name search visibility. Synterminal builds all of that. For professionals where name disambiguation matters — common names, multiple people with the same name in the same field — there are additional strategies for reinforcing entity authority that Synterminal implements as part of the engagement.

Yes. LinkedIn copy that matches the professional narrative of the website and the resume. Headline, about section, experience entries, skills, and featured section. The goal is a consistent entity across every surface where someone might look you up — website, LinkedIn, Google knowledge panel — so that the picture is coherent and authoritative regardless of which surface a decision-maker finds first.

Yes. The resume and website service is not technical. It is designed for anyone who has done work worth presenting and needs help presenting it well. Healthcare. Education. Finance. Law. Marketing. Operations. Sales. Creative fields. Trades. The structured data underneath is technical — you do not see it and do not need to understand it. What you see is a clean, serious, well-written professional presence that works.

Resume only — five to seven business days from the initial interview conversation. Personal website with resume — two to three weeks depending on content complexity. Rush timelines available for active job searches — contact research@synterminal.com and describe the situation and the deadline. Synterminal has delivered under time pressure before and will tell you plainly if the timeline is or is not feasible.

Scoped per engagement. There is no standard pricing page because no two problems are the same size. A single-job invoice audit with 300 invoices is a different scope than a five-year procurement forensics engagement across twelve suppliers. A personal website is a different scope than a full competitor mapping retainer. Every engagement is scoped after the initial conversation — you describe the problem, Synterminal proposes a defined scope with a price and a timeline, and work starts when you approve it. There are no surprise overruns on a scoped engagement. If scope changes, pricing is discussed before the additional work begins.

A retainer is a monthly engagement where Synterminal does ongoing work against a defined scope — monitoring, continuous building, monthly deliverables, or ongoing research. It makes sense when the problem is not one-time. Competitor monitoring. Reputation surveillance. SEO and structured data continuous improvement. Document search maintenance as new documents are ingested. Ongoing procurement intelligence. Invoice auditing across an active relationship with a supplier. Most Synterminal clients move to retainer after the first engagement because the work compounds — the intelligence built in month one makes month two faster and sharper.

No minimum size. A solo contractor with one job's worth of invoices and a hunch is a valid engagement. A resume for a recent graduate is a valid engagement. A one-time research question that takes a day to answer is a valid engagement. Synterminal scopes every engagement honestly — if the problem is small enough that the answer does not justify the cost of a full engagement, that will be said plainly in the first response along with whatever free guidance is appropriate. No engagement gets started if it does not make sense for both sides.

A human at Synterminal reads it and responds within one business day. Not an automated acknowledgment. Not a sales sequence. A direct response that either proposes a scoped engagement, asks for more information to scope it accurately, or — if the problem is clearly not in scope — says so plainly and points you somewhere more useful. The scoping conversation is free. No commitment is required until you approve a scope and a price.

For engagements above a minimal threshold — yes. A scope of work document that defines the deliverable, the timeline, the price, and the handling terms for any documents or data provided. For smaller one-time engagements, a written email confirmation of scope is sufficient. For retainer engagements, a monthly service agreement. NDAs are available on request and signed before any sensitive materials are shared. The paperwork is proportional to the engagement — a resume does not require a six-page services agreement.

Yes. That is the most common path. A one-time invoice audit produces findings. The findings reveal an ongoing pattern. The ongoing pattern warrants continuous monitoring. The monitoring produces competitor intelligence. The competitor intelligence informs SEO strategy. Each engagement compounds the previous one and makes the next one more valuable. Retainer pricing reflects the ongoing relationship — clients on retainer pay less per deliverable than one-time engagement clients because the context from prior work reduces the setup time on every subsequent task.

Yes. The initial conversation — whether by email or a call — is always free and carries no commitment. Synterminal does not upsell. If your problem requires a $200 engagement, you will be quoted $200. If it requires a $2,000 engagement, you will be quoted $2,000. If it does not require an engagement at all because the answer is simple enough to give in the response — you will get the answer in the response. The consultation is a scoping conversation, not a sales call.

Every scoped engagement includes a revision cycle — at least one round of feedback and revision is included in the scope price. If the output does not meet the defined scope after revision, Synterminal will work to make it right. The defined scope is the standard — if the deliverable meets the scope as defined and approved, it is considered complete. This is why the scoping conversation is important — a clearly defined deliverable is the best protection for both sides. Any concerns about output are addressed directly and resolved before the engagement closes.