Ashby Appears in 41.7% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Ashby appeared in 222 of 533 AI answers included in the Applicant Tracking Systems benchmark (41.65%). It received 135 recommendations (25.33%), with 28 Top 3 placements and 14 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

• How do Ashby mentions, recommendations and placements compare with its Applicant Tracking Systems peers?

Ashby recorded 222 mentions (41.65%) and 135 recommendations (25.33%) across 533 answers included in the benchmark. Top 3 placements numbered 28; first-place recommendations numbered 14. Framing among its mentions was 142 positive, 80 neutral and 0 negative.

Ashby appears in a substantial share of the answers reviewed, but it is recommended far less often than it is mentioned. That gap is the central business issue: being named alongside competitors is not the same as being put forward as a choice. The framing of its mentions is overwhelmingly positive or neutral, with no negative wording recorded, so the shortfall sits in endorsement rather than in how the company is described.

Placement is also thin relative to mention volume. Ashby's shortlist and first-place showings are modest compared with the leaders, and first-place counts sit inside the shortlist figures rather than adding to them. For the agency, this points to work on how Ashby is positioned in comparison-style answers, not simply on getting named more often.

What changed since last month

Questions This Section Answers

• How did Ashby counts and coverage differ across the available monthly snapshots?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, Ashby's mention count rose from 203 to 222, while its recommendation count fell from 164 to 135. The recommendation rate was 34.45% and 25.33% respectively.

Across the selected monthly samples, Ashby's mention count moved up from October to November while its recommendation count moved down. The recommendation rate was lower in November than in October. These are separate samples, so the movement describes what was recorded, not a trend with an established cause.

The shortlist and first-place figures also shifted between the two months, and the earlier months in the record show their own variation. Because the answer samples differ each month, the agency should treat month-to-month movement as a comparability limit rather than a signal to act on. The useful work is to keep a consistent scorecard so future movement can be read against a stable baseline.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Ashby?

AI answers contained 1 conflicting claim about Ashby: 0 critical, 1 high, 0 medium, 0 low. Of these, 1 was rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The benchmark recorded a single conflicting claim about Ashby, rated high priority. That rating is a sorting device for fact-checking, not a finding that the company or any publisher got something wrong. The conflict concerns monthly pricing, with the two recorded AI answers describing different figures and one framing tied to annual billing.

The agency would build a scoped fact-review register that pairs each disputed claim with the primary source needed to settle it, an owner and a review status. Resolving the entity, the date and the source comes before any decision on whether a correction is warranted, since different dates or plan tiers can explain an apparent conflict.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Ashby should be verified before proposed page edits?

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The pricing conflict is the clearest case for verification before any page work. The two recorded answers may reflect different plans, billing arrangements or collection dates, so the first step is to confirm what Ashby currently publishes on its own pricing page and which configuration each figure describes. Only then can the agency judge whether a page brief is needed.

If verification shows the company's own pages are accurate and complete, the brief may be a no-change decision. If a gap exists, the brief would set out approved facts and the buyer questions the page should answer. Either way, the agency would not treat an AI answer as evidence of what the page currently says.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for Ashby?

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several third-party pages were selected for review because they appear alongside Ashby in captured answers, including list-style comparisons and community discussion threads. Selection reflects relevance to the company, not proof that a page caused a conflicting claim or contains an error. The current contents of each page still need checking before any request is made.

The agency would review the highest-appearance pages first, confirm what they actually say about Ashby, and prepare evidence-backed requests only where a genuine inaccuracy is found. Where a page is accurate but thin, the more appropriate step may be a factual note rather than a correction request. Publisher control and willingness to respond cannot be assumed.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Ashby website pages should receive review briefs?

The company's website was cited 30 times across 11 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

Ashby's own site is cited across a range of pages, with the recruiting product page and homepage appearing most often. Citation counts show where the site is being drawn on, not which pages accompanied a recommendation, and several listed pages were cited in no recommending answers at all. The pricing and enterprise pages in particular show no recommending citations in the recorded data.

The agency would prepare page briefs for the priority pages using approved facts and the buyer questions observed in the research. Each brief would check existing coverage first, so the work improves what is already published rather than duplicating it. Pages with no recorded recommending citations are candidates for review, not automatic rewrites.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Ashby?

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The observed questions cluster around broad best-software and best-ATS phrasing, and Ashby is mentioned in most of the answers to those questions. Recommendations are slightly less frequent than mentions in the same answers, which suggests the opportunity lies in strengthening why Ashby should be chosen, not only in appearing.

These are recorded answer observations, not search volume or verified demand. The agency would check whether Ashby already covers these buyer questions on its own pages, then draft content briefs that answer them directly with approved facts. New pages would be proposed only where existing coverage is genuinely missing.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed Ashby work and judge completion?

The first month establishes the baseline scorecard, the scoped fact-review register and the page and source shortlist, with each record carrying an owner, an evidence requirement and a review status. This gives later work a fixed reference point.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported separately from measured answer outcomes, and no visibility gain is promised, since the samples and external systems are outside the agency's control.

Methodology

Questions This Section Answers

• How are Ashby answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 533 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5052 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reliable results for August 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The report covers a single reporting month, and the exact dates when the original answers were collected have not been verified. Visibility rates rest on answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer both endorses it and uses positive wording. Shortlist and first-place counts sit inside those recommendations rather than adding to them.

An answer can mention several companies, so company counts cannot be summed into distinct answers. The wider citation analysis covers more answers than the benchmark and counts URL appearances differently. Cited pages and disputed claims still need independent verification, and the monthly samples differ, so comparisons show what changed, not why.

Our first three priorities

The first priority is to settle the pricing conflict through primary-source verification, confirming which plan and billing arrangement each recorded figure describes before deciding whether any correction is warranted. The second is to review the most-cited third-party comparison pages and confirm what they currently say about Ashby, preparing evidence-backed requests only where a real inaccuracy is found.

The third is to brief the priority company pages, starting with the recruiting product page and homepage, around the buyer questions observed in the research and approved facts. Together these give the agency a verified base for later content work without assuming that any single change will move AI answers.